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Jiawei Han 0001
韩家炜
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
- affiliation (former): Simon Fraser University, School of Computing Science, Canada
- unicode name: 韩家炜
- award (2009): W. Wallace McDowell Award
Other persons with the same name
- Jiawei Han (aka: Jia-Wei Han) — disambiguation page
- Jiawei Han 0002
— Tianjin Normal University, Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, China (and 1 more)
- Jiawei Han 0003 — Northwestern Polytechnical University, Xi'an, China
- Jiawei Han 0004
— Zhejiang University, Qiushi Academy for Advanced Studies, Hangzhou, China
- Jiawei Han 0005 — Chongqing University of Post and Telecommunications, Chongqing Key Lab of Mobile Communications Technology, China
- Jiawei Han 0006
— Jilin University, College of Computer Science and Technology, Changchun, China
- Jiawei Han 0007 — National Engineering Research Center for Information Technology in Agriculture, Beijing, China
- Jiawei Han 0008
— Beijing Institute of Technology, School of Optics and Photonics, China
- Jia-Wei Han 0009
(aka: Jiawei Han 0009) — Beijing Academy of Agricultural and Forestry Sciences, Beijing, China
- Jiawei Han 0010 — Xi'an Jiaotong University, China
- Jiawei Han 0011 — Harbin Institute of Technology, Harbin, China
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2020 – today
- 2025
- [c816]Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han:
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations. AAAI 2025: 352-360 - [c815]Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten:
Law of the Weakest Link: Cross Capabilities of Large Language Models. ICLR 2025 - [c814]Suyu Ge, Xihui Lin, Yunan Zhang, Jiawei Han, Hao Peng:
A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts. ICLR 2025 - [c813]Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong:
Scaling Diffusion Language Models via Adaptation from Autoregressive Models. ICLR 2025 - [c812]Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan Ö. Arik:
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. ICLR 2025 - [c811]Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu:
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph. ICLR 2025 - [c810]SeongKu Kang
, Bowen Jin
, Wonbin Kweon
, Yu Zhang
, Dongha Lee
, Jiawei Han
, Hwanjo Yu
:
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. WSDM 2025: 895-904 - [c809]Yu Zhang
, Yanzhen Shen
, SeongKu Kang
, Xiusi Chen
, Bowen Jin
, Jiawei Han
:
Chain-of-Factors Paper-Reviewer Matching. WWW 2025: 1901-1910 - [c808]Yunyi Zhang
, Ruozhen Yang
, Xueqiang Xu
, Rui Li
, Jinfeng Xiao
, Jiaming Shen
, Jiawei Han
:
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision. WWW 2025: 2032-2042 - [i233]Jimeng Shi, Azam Shirali, Bowen Jin, Sizhe Zhou, Wei Hu, Rahuul Rangaraj, Shaowen Wang, Jiawei Han, Zhaonan Wang, Upmanu Lall, Yanzhao Wu, Leonardo Bobadilla, Giri Narasimhan
:
Deep Learning and Foundation Models for Weather Prediction: A Survey. CoRR abs/2501.06907 (2025) - [i232]Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu:
Preference Leakage: A Contamination Problem in LLM-as-a-judge. CoRR abs/2502.01534 (2025) - [i231]Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan Ö. Arik:
LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. CoRR abs/2502.03699 (2025) - [i230]Pengcheng Jiang, Lang Cao, Ruike Zhu, Minhao Jiang, Yunyi Zhang, Jimeng Sun, Jiawei Han:
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation. CoRR abs/2502.10996 (2025) - [i229]SeongKu Kang, Bowen Jin, Wonbin Kweon
, Yu Zhang, Dongha Lee, Jiawei Han, Hwanjo Yu:
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation. CoRR abs/2502.11181 (2025) - [i228]Yi Fang, Bowen Jin, Jiacheng Shen, Sirui Ding, Qiaoyu Tan, Jiawei Han:
GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs. CoRR abs/2502.11925 (2025) - [i227]Priyanka Kargupta, Ishika Agarwal, Tal August, Jiawei Han:
Tree-of-Debate: Multi-Persona Debate Trees Elicit Critical Thinking for Scientific Comparative Analysis. CoRR abs/2502.14767 (2025) - [i226]Ayush Kumar Shah, Abhisek Dey, Leo Luo, Bryan Amador, Patrick Philippy, Ming Zhong, Siru Ouyang, David Mark Friday, David Bianchi, Nick Jackson, Richard Zanibbi, Jiawei Han:
Multimodal Search in Chemical Documents and Reactions. CoRR abs/2502.16865 (2025) - [i225]Pengcheng Jiang, Jiacheng Lin, Lang Cao, Runchu Tian, SeongKu Kang, Zifeng Wang, Jimeng Sun, Jiawei Han:
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning. CoRR abs/2503.00223 (2025) - [i224]Bowen Jin, Hansi Zeng, Zhenrui Yue, Dong Wang, Hamed Zamani, Jiawei Han:
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning. CoRR abs/2503.09516 (2025) - [i223]Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He:
GTR: Graph-Table-RAG for Cross-Table Question Answering. CoRR abs/2504.01346 (2025) - 2024
- [j206]Martin D. Burke
, Scott E. Denmark
, Ying Diao
, Jiawei Han
, Rachel D. Switzky
, Huimin Zhao
:
Molecule Maker Lab Institute: Accelerating, advancing, and democratizing molecular innovation. AI Mag. 45(1): 117-123 (2024) - [j205]Ryo Kamoi, Yusen Zhang, Nan Zhang, Jiawei Han, Rui Zhang:
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs. Trans. Assoc. Comput. Linguistics 12: 1417-1440 (2024) - [j204]Bowen Jin
, Gang Liu
, Chi Han
, Meng Jiang
, Heng Ji
, Jiawei Han
:
Large Language Models on Graphs: A Comprehensive Survey. IEEE Trans. Knowl. Data Eng. 36(12): 8622-8642 (2024) - [j203]Zhizhi Yu
, Di Jin
, Jianguo Wei
, Yawen Li, Ziyang Liu, Yue Shang, Jiawei Han, Lingfei Wu
:
TeKo: Text-Rich Graph Neural Networks With External Knowledge. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14699-14711 (2024) - [c807]Yu Zhang
, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han:
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. AAAI 2024: 19606-19614 - [c806]Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang
, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han:
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. ACL (Findings) 2024: 163-184 - [c805]Yizhu Jiao, Sha Li, Sizhe Zhou, Heng Ji, Jiawei Han:
Text2DB: Integration-Aware Information Extraction with Large Language Model Agents. ACL (Findings) 2024: 185-205 - [c804]Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han:
ActionIE: Action Extraction from Scientific Literature with Programming Languages. ACL (1) 2024: 12656-12671 - [c803]Sayar Ghosh Roy, Jiawei Han:
ILCiteR: Evidence-grounded Interpretable Local Citation Recommendation. LREC/COLING 2024: 8627-8638 - [c802]Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji:
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction. EACL (Findings) 2024: 1-16 - [c801]SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu:
Taxonomy-guided Semantic Indexing for Academic Paper Search. EMNLP 2024: 7169-7184 - [c800]Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han:
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. EMNLP 2024: 8783-8817 - [c799]Priyanka Kargupta, Ishika Agarwal, Dilek Hakkani-Tür, Jiawei Han:
Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging. EMNLP (Findings) 2024: 9475-9495 - [c798]Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen:
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. EMNLP (Findings) 2024: 13125-13137 - [c797]Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han:
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. EMNLP 2024: 13462-13486 - [c796]Linyi Ding, Jinfeng Xiao, Sizhe Zhou, Chaoqi Yang, Jiawei Han:
Topic-Oriented Open Relation Extraction with A Priori Seed Generation. EMNLP 2024: 13834-13845 - [c795]Yu Meng
, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. ICLR 2024 - [c794]Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He:
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. ICLR 2024 - [c793]Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao:
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. ICLR 2024 - [c792]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c791]Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang:
Language Models as Semantic Indexers. ICML 2024 - [c790]Siru Ouyang, Zhuosheng Zhang, Bing Yan, Xuan Liu, Yejin Choi, Jiawei Han, Lianhui Qin:
Structured Chemistry Reasoning with Large Language Models. ICML 2024 - [c789]Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma:
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. ICML 2024 - [c788]Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong:
SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter. ICML 2024 - [c787]Tanay Komarlu
, Minhao Jiang
, Xuan Wang
, Jiawei Han
:
OntoType: Ontology-Guided and Pre-Trained Language Model Assisted Fine-Grained Entity Typing. KDD 2024: 1407-1417 - [c786]Siru Ouyang
, Jiaxin Huang
, Pranav Pillai
, Yunyi Zhang
, Yu Zhang
, Jiawei Han
:
Ontology Enrichment for Effective Fine-grained Entity Typing. KDD 2024: 2318-2327 - [c785]Yunyi Zhang
, Ming Zhong
, Siru Ouyang
, Yizhu Jiao
, Sizhe Zhou
, Linyi Ding
, Jiawei Han
:
Automated Mining of Structured Knowledge from Text in the Era of Large Language Models. KDD 2024: 6644-6654 - [c784]Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao:
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. NAACL-HLT 2024: 1927-1937 - [c783]Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han:
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. NAACL-HLT 2024: 2805-2819 - [c782]Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han:
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. NAACL-HLT 2024: 2820-2837 - [c781]Pengcheng Jiang, Lang Cao, Cao (Danica) Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han:
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. NeurIPS 2024 - [c780]Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han:
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs. NeurIPS 2024 - [c779]Wei Hu, Bowen Jin, Minhao Jiang, Sizhe Zhou, Zhaonan Wang, Jiawei Han, Shaowen Wang:
Geospatial Topological Relation Extraction from Text with Knowledge Augmentation. SDM 2024: 472-480 - [c778]Bowen Jin
, Yu Zhang
, Sha Li
, Jiawei Han
:
Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery. WSDM 2024: 1122-1125 - [c777]SeongKu Kang
, Shivam Agarwal
, Bowen Jin
, Dongha Lee
, Hwanjo Yu
, Jiawei Han
:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. WWW 2024: 1497-1508 - [i222]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i221]Minhao Jiang, Ken Ziyu Liu, Ming Zhong, Rylan Schaeffer, Siru Ouyang, Jiawei Han, Sanmi Koyejo:
Investigating Data Contamination for Pre-training Language Models. CoRR abs/2401.06059 (2024) - [i220]Qingyun Wang, Zixuan Zhang, Hongxiang Li, Xuan Liu, Jiawei Han, Huimin Zhao, Heng Ji:
Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction. CoRR abs/2401.10189 (2024) - [i219]Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han:
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains. CoRR abs/2401.13129 (2024) - [i218]Pengcheng Jiang, Jiacheng Lin, Zifeng Wang, Jimeng Sun, Jiawei Han:
GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models. CoRR abs/2402.10744 (2024) - [i217]Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han:
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction. CoRR abs/2402.11142 (2024) - [i216]Yanzhen Shen, Yu Zhang, Yunyi Zhang, Jiawei Han:
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion. CoRR abs/2402.13405 (2024) - [i215]Ming Zhong
, Yelong Shen, Shuohang Wang, Yadong Lu, Yizhu Jiao, Siru Ouyang, Donghan Yu, Jiawei Han, Weizhu Chen:
Multi-LoRA Composition for Image Generation. CoRR abs/2402.16843 (2024) - [i214]Yunyi Zhang, Ruozhen Yang, Xueqiang Xu, Jinfeng Xiao, Jiaming Shen, Jiawei Han:
TELEClass: Taxonomy Enrichment and LLM-Enhanced Hierarchical Text Classification with Minimal Supervision. CoRR abs/2403.00165 (2024) - [i213]SeongKu Kang
, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. CoRR abs/2403.04160 (2024) - [i212]Sayar Ghosh Roy, Jiawei Han:
ILCiteR: Evidence-grounded Interpretable Local Citation Recommendation. CoRR abs/2403.08737 (2024) - [i211]Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han:
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. CoRR abs/2403.10351 (2024) - [i210]Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Suhang Wang
, Yu Meng, Jiawei Han:
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. CoRR abs/2404.07103 (2024) - [i209]Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma:
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. CoRR abs/2404.12141 (2024) - [i208]Linyi Ding, Sizhe Zhou, Jinfeng Xiao, Jiawei Han:
Automated Construction of Theme-specific Knowledge Graphs. CoRR abs/2404.19146 (2024) - [i207]Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han:
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. CoRR abs/2405.16412 (2024) - [i206]Ryo Kamoi
, Yusen Zhang, Nan Zhang, Jiawei Han, Rui Zhang:
When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs. CoRR abs/2406.01297 (2024) - [i205]Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han:
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. CoRR abs/2406.10833 (2024) - [i204]Priyanka Kargupta, Ishika Agarwal, Dilek Hakkani-Tur, Jiawei Han:
Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code Debugging. CoRR abs/2406.11709 (2024) - [i203]Zexing Xu, Linjun Zhang, Sitan Yang, S. Rasoul Etesami, Hanghang Tong, Huan Zhang, Jiawei Han:
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data. CoRR abs/2406.16221 (2024) - [i202]Sizhe Zhou, Sha Li, Yu Meng, Yizhu Jiao, Heng Ji, Jiawei Han:
Establishing Knowledge Preference in Language Models. CoRR abs/2407.13048 (2024) - [i201]Priyanka Kargupta, Yunyi Zhang, Yizhu Jiao, Siru Ouyang, Jiawei Han:
Unsupervised Episode Detection for Large-Scale News Events. CoRR abs/2408.04873 (2024) - [i200]Kerui Zhu, Bo-Wei Huang, Bowen Jin, Yizhu Jiao, Ming Zhong, Kevin Chang, Shou-De Lin, Jiawei Han:
Investigating Instruction Tuning Large Language Models on Graphs. CoRR abs/2408.05457 (2024) - [i199]Jimeng Shi, Bowen Jin, Jiawei Han, Giri Narasimhan:
CoDiCast: Conditional Diffusion Model for Weather Prediction with Uncertainty Quantification. CoRR abs/2409.05975 (2024) - [i198]Ming Zhong
, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten:
Law of the Weakest Link: Cross Capabilities of Large Language Models. CoRR abs/2409.19951 (2024) - [i197]Suyu Ge, Xihui Lin, Yunan Zhang, Jiawei Han, Hao Peng:
A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts. CoRR abs/2410.01485 (2024) - [i196]Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han:
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. CoRR abs/2410.04585 (2024) - [i195]Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan Ö. Arik:
Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. CoRR abs/2410.05983 (2024) - [i194]Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han:
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs. CoRR abs/2410.07157 (2024) - [i193]Siru Ouyang, Shuohang Wang, Minhao Jiang, Ming Zhong, Donghan Yu, Jiawei Han, Yelong Shen:
Temperature-Centric Investigation of Speculative Decoding with Knowledge Distillation. CoRR abs/2410.10141 (2024) - [i192]Siru Ouyang, Wenhao Yu, Kaixin Ma, Zilin Xiao, Zhihan Zhang, Mengzhao Jia, Jiawei Han, Hongming Zhang, Dong Yu:
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph. CoRR abs/2410.14684 (2024) - [i191]Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong:
Scaling Diffusion Language Models via Adaptation from Autoregressive Models. CoRR abs/2410.17891 (2024) - [i190]Sha Li, Revanth Gangi Reddy, Khanh Duy Nguyen, Qingyun Wang, May Fung, Chi Han, Jiawei Han, Kartik Natarajan, Clare R. Voss, Heng Ji:
Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Play. CoRR abs/2410.18935 (2024) - [i189]SeongKu Kang
, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu:
Taxonomy-guided Semantic Indexing for Academic Paper Search. CoRR abs/2410.19218 (2024) - [i188]Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han:
Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? CoRR abs/2412.08174 (2024) - 2023
- [j202]Zhizhi Yu
, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. 65(2): 613-640 (2023) - [j201]Wei Shen
, Yuhan Li
, Yinan Liu, Jiawei Han, Jianyong Wang
, Xiaojie Yuan:
Entity Linking Meets Deep Learning: Techniques and Solutions. IEEE Trans. Knowl. Data Eng. 35(3): 2556-2578 (2023) - [j200]Di Jin
, Zhizhi Yu
, Dongxiao He
, Carl Yang, Philip S. Yu
, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-Paths. IEEE Trans. Knowl. Data Eng. 35(4): 3925-3937 (2023) - [c776]Nishant Balepur, Shivam Agarwal, Karthik Venkat Ramanan, Susik Yoon, Diyi Yang, Jiawei Han:
DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance. ACL (Findings) 2023: 194-217 - [c775]Siru Ouyang, Jiaao Chen, Jiawei Han, Diyi Yang:
Compositional Data Augmentation for Abstractive Conversation Summarization. ACL (1) 2023: 1471-1488 - [c774]Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han:
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. ACL (1) 2023: 5677-5697 - [c773]Bowen Jin, Wentao Zhang, Yu Zhang
, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han:
Patton: Language Model Pretraining on Text-Rich Networks. ACL (1) 2023: 7005-7020 - [c772]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. ACL (Findings) 2023: 11161-11180 - [c771]Ming Zhong
, Siru Ouyang, Minhao Jiang
, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han:
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. ACL (Findings) 2023: 12120-12130 - [c770]Jiawei Han:
Large Foundational Model is a Blessing to Natural Language Understanding and Data Mining. CogMI 2023: xiii - [c769]Yu Zhang, Yunyi Zhang, Jiawei Han:
Mining Structures from Massive Texts by Exploring the Power of Pre-trained Language Models. EDBT 2023: 851-854 - [c768]Khanh Duy Nguyen, Zixuan Zhang, Reece Suchocki, Sha Li, Martha Palmer, Susan Windisch Brown, Jiawei Han, Heng Ji:
RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor. EMNLP (Demos) 2023: 365-372 - [c767]Ming Zhong
, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, Xuan Wang, Heng Ji, Martin D. Burke, Huimin Zhao, Jiawei Han:
Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data. EMNLP (Demos) 2023: 389-402 - [c766]Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han:
Large Language Models Can Self-Improve. EMNLP 2023: 1051-1068 - [c765]Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett:
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. EMNLP 2023: 1796-1812 - [c764]Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han:
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. EMNLP 2023: 2375-2393 - [c763]Sha Li, Qiusi Zhan, Kathryn Conger, Martha Palmer, Heng Ji, Jiawei Han:
GLEN: General-Purpose Event Detection for Thousands of Types. EMNLP 2023: 2823-2838 - [c762]Da Yin, Xiao Liu, Fan Yin, Ming Zhong
, Hritik Bansal, Jiawei Han, Kai-Wei Chang:
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. EMNLP 2023: 4031-4047 - [c761]Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han:
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction. EMNLP 2023: 10030-10051 - [c760]Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang, Jiawei Han:
MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities. EMNLP (Findings) 2023: 10543-10558 - [c759]Yunyi Zhang, Minhao Jiang
, Yu Meng, Yu Zhang
, Jiawei Han:
PIEClass: Weakly-Supervised Text Classification with Prompting and Noise-Robust Iterative Ensemble Training. EMNLP 2023: 12655-12670 - [c758]Zhaonan Wang, Bowen Jin
, Wei Hu, Minhao Jiang
, Seungyeon Kang, Zhiyuan Li
, Sizhe Zhou
, Jiawei Han, Shaowen Wang:
Geospatial Knowledge Hypercube. SIGSPATIAL/GIS 2023: 79:1-79:4 - [c757]Carl Yang, Jiawei Han:
Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks. ICDE 2023: 682-695 - [c756]Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han:
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. ICLR 2023 - [c755]Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han:
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning. ICML 2023: 24457-24477 - [c754]Bowen Jin
, Yu Zhang
, Qi Zhu
, Jiawei Han
:
Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. KDD 2023: 1020-1031 - [c753]Yu Zhang
, Bowen Jin
, Xiusi Chen
, Yanzhen Shen, Yunyi Zhang
, Yu Meng
, Jiawei Han:
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. KDD 2023: 3458-3469 - [c752]Xinyang Zhang
, Yury Malkov
, Omar Florez
, Serim Park
, Brian McWilliams
, Jiawei Han
, Ahmed El-Kishky
:
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter. KDD 2023: 5597-5607 - [c751]Yu Meng
, Jiaxin Huang
, Yu Zhang
, Yunyi Zhang
, Jiawei Han:
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective. KDD 2023: 5817-5818 - [c750]Sizhe Zhou
, Suyu Ge, Jiaming Shen, Jiawei Han:
Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns. ECML/PKDD (4) 2023: 20-38 - [c749]Jinfeng Xiao, Mohab Elkaref, Nathan Herr, Geeth De Mel, Jiawei Han:
Taxonomy-Guided Fine-Grained Entity Set Expansion. SDM 2023: 631-639 - [c748]Susik Yoon
, Dongha Lee
, Yunyi Zhang
, Jiawei Han
:
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. SIGIR 2023: 802-811 - [c747]Yu Zhang
, Yunyi Zhang
, Martin Michalski
, Yucheng Jiang
, Yu Meng
, Jiawei Han:
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. WSDM 2023: 429-437 - [c746]Suyu Ge
, Jiaxin Huang
, Yu Meng
, Jiawei Han
:
FineSum: Target-Oriented, Fine-Grained Opinion Summarization. WSDM 2023: 1093-1101 - [c745]Valeria Fionda
, Olaf Hartig
, Reyhaneh Abdolazimi
, Sihem Amer-Yahia, Hongzhi Chen
, Xiao Chen
, Peng Cui, Jeffrey Dalton
, Xin Luna Dong
, Lisette Espín-Noboa
, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao
, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le
, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu
, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan
, Devesh Parekh, Jian Pei
, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas
, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang
, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang
, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [c744]Yu Zhang
, Bowen Jin
, Qi Zhu
, Yu Meng
, Jiawei Han
:
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. WWW 2023: 1626-1637 - [c743]Susik Yoon
, Hou Pong Chan
, Jiawei Han
:
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. WWW 2023: 1650-1661 - [c742]Susik Yoon
, Yu Meng
, Dongha Lee
, Jiawei Han
:
SCStory: Self-supervised and Continual Online Story Discovery. WWW 2023: 1853-1864 - [c741]Yizhu Jiao
, Ming Zhong
, Jiaming Shen
, Yunyi Zhang
, Chao Zhang
, Jiawei Han
:
Unsupervised Event Chain Mining from Multiple Documents. WWW 2023: 1948-1959 - [d3]Yu Zhang
, Bowen Jin
, Qi Zhu
, Yu Meng
, Jiawei Han
:
The MAPLE Benchmark for Scientific Literature Tagging. Zenodo, 2023 - [d2]Yu Zhang
, Bowen Jin
, Qi Zhu
, Yu Meng
, Jiawei Han
:
The MAPLE Benchmark for Graph Mining. Version 1. Zenodo, 2023 [all versions] - [d1]Yu Zhang
, Bowen Jin
, Qi Zhu
, Yu Meng
, Jiawei Han
:
The MAPLE Benchmark for Graph Mining. Version 2. Zenodo, 2023 [all versions] - [i187]Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer:
Representation Deficiency in Masked Language Modeling. CoRR abs/2302.02060 (2023) - [i186]Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han:
The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. CoRR abs/2302.03341 (2023) - [i185]Suyu Ge, Chenyan Xiong, Corby Rosset, Arnold Overwijk, Jiawei Han, Paul Bennett:
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. CoRR abs/2302.03754 (2023) - [i184]Susik Yoon, Hou Pong Chan, Jiawei Han:
PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. CoRR abs/2302.05550 (2023) - [i183]Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han:
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks. CoRR abs/2302.11050 (2023) - [i182]Qiusi Zhan, Sha Li, Kathryn Conger
, Martha Palmer, Heng Ji, Jiawei Han:
GLEN: General-Purpose Event Detection for Thousands of Types. CoRR abs/2303.09093 (2023) - [i181]Priyanka Kargupta, Tanay Komarlu, Susik Yoon, Xuan Wang
, Jiawei Han:
MEGClass: Text Classification with Extremely Weak Supervision via Mutually-Enhancing Text Granularities. CoRR abs/2304.01969 (2023) - [i180]Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han:
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. CoRR abs/2304.04099 (2023) - [i179]Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han:
Patton: Language Model Pretraining on Text-Rich Networks. CoRR abs/2305.12268 (2023) - [i178]Tanay Komarlu, Minhao Jiang, Xuan Wang, Jiawei Han:
OntoType: Ontology-Guided Zero-Shot Fine-Grained Entity Typing with Weak Supervision from Pre-Trained Language Models. CoRR abs/2305.12307 (2023) - [i177]Yunyi Zhang, Minhao Jiang, Yu Meng, Yu Zhang, Jiawei Han:
PromptClass: Weakly-Supervised Text Classification with Prompting Enhanced Noise-Robust Self-Training. CoRR abs/2305.13723 (2023) - [i176]Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang:
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. CoRR abs/2305.14327 (2023) - [i175]Pengcheng Jiang, Shivam Agarwal, Bowen Jin, Xuan Wang, Jimeng Sun, Jiawei Han:
Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models. CoRR abs/2305.15597 (2023) - [i174]Qi Zhu, Yizhu Jiao, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Explaining and Adapting Graph Conditional Shift. CoRR abs/2306.03256 (2023) - [i173]Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han:
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers. CoRR abs/2306.14003 (2023) - [i172]Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han:
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision. CoRR abs/2307.01448 (2023) - [i171]Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch, Jiawei Han:
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification. CoRR abs/2307.01972 (2023) - [i170]Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao:
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. CoRR abs/2310.01801 (2023) - [i169]Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Han Zhao, Jiawei Han:
Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder. CoRR abs/2310.06684 (2023) - [i168]Siru Ouyang, Jiaxin Huang, Pranav Pillai, Yunyi Zhang, Yu Zhang, Jiawei Han:
Ontology Enrichment for Effective Fine-grained Entity Typing. CoRR abs/2310.07795 (2023) - [i167]Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang
, Jiawei Han, Xianfeng Tang:
Language Models As Semantic Indexers. CoRR abs/2310.07815 (2023) - [i166]Ming Zhong
, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He:
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective. CoRR abs/2310.11451 (2023) - [i165]Siru Ouyang, Shuohang Wang, Yang Liu, Ming Zhong, Yizhu Jiao, Dan Iter, Reid Pryzant, Chenguang Zhu, Heng Ji, Jiawei Han:
The Shifted and The Overlooked: A Task-oriented Investigation of User-GPT Interactions. CoRR abs/2310.12418 (2023) - [i164]Yu Zhang, Yanzhen Shen, Xiusi Chen, Bowen Jin, Jiawei Han:
"Why Should I Review This Paper?" Unifying Semantic, Topic, and Citation Factors for Paper-Reviewer Matching. CoRR abs/2310.14483 (2023) - [i163]Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, Jiawei Han:
Instruct and Extract: Instruction Tuning for On-Demand Information Extraction. CoRR abs/2310.16040 (2023) - [i162]Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, Yuning Mao:
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming. CoRR abs/2311.07689 (2023) - [i161]Siru Ouyang, Zhuosheng Zhang
, Bing Yan, Xuan Liu, Jiawei Han, Lianhui Qin:
Structured Chemistry Reasoning with Large Language Models. CoRR abs/2311.09656 (2023) - [i160]Bowen Jin, Gang Liu, Chi Han, Meng Jiang, Heng Ji, Jiawei Han:
Large Language Models on Graphs: A Comprehensive Survey. CoRR abs/2312.02783 (2023) - [i159]Khanh Duy Nguyen, Zixuan Zhang, Reece Suchocki, Sha Li, Martha Palmer, Susan Windisch Brown, Jiawei Han, Heng Ji:
RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor. CoRR abs/2312.03093 (2023) - [i158]Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han:
SCStory: Self-supervised and Continual Online Story Discovery. CoRR abs/2312.03725 (2023) - 2022
- [b11]Jiaming Shen, Jiawei Han:
Automated Taxonomy Discovery and Exploration. Synthesis Lectures on Data Mining and Knowledge Discovery, Springer 2022, ISBN 978-3-031-11404-5, pp. 1-103 - [j199]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu:
Heterogeneous Information Networks: the Past, the Present, and the Future. Proc. VLDB Endow. 15(12): 3807-3811 (2022) - [j198]Di Jin
, Wenjun Wang, Guojie Song, Philip S. Yu, Jiawei Han:
Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data. IEEE Trans. Big Data 8(4): 867-868 (2022) - [j197]Carl Yang
, Yuxin Xiao
, Yu Zhang
, Yizhou Sun
, Jiawei Han:
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. IEEE Trans. Knowl. Data Eng. 34(10): 4854-4873 (2022) - [j196]Wei Shen
, Yuwei Yin
, Yang Yang
, Jiawei Han, Jianyong Wang
, Xiaojie Yuan:
Toward Tweet Entity Linking With Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 34(12): 6003-6017 (2022) - [c740]Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han:
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion. ACL (Findings) 2022: 257-268 - [c739]Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Scott Yih, Madian Khabsa:
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. ACL (1) 2022: 6253-6264 - [c738]Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang, Jiawei Han:
Phrase-aware Unsupervised Constituency Parsing. ACL (1) 2022: 6406-6415 - [c737]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. AKBC 2022 - [c736]Xuan Wang
, Vivian Hu, Minhao Jiang, Yu Zhang, Jinfeng Xiao, Danielle Cherrice Loving, Heng Ji, Martin D. Burke, Jiawei Han:
REACTCLASS: Cross-Modal Supervision for Subword-Guided Reactant Entity Classification. BIBM 2022: 844-847 - [c735]Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han:
Entity Set Co-Expansion in StackOverflow. IEEE Big Data 2022: 4792-4795 - [c734]Dawei Zhou, Lecheng Zheng
, Dongqi Fu, Jiawei Han, Jingrui He:
MentorGNN: Deriving Curriculum for Pre-Training GNNs. CIKM 2022: 2721-2731 - [c733]Dongha Lee
, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han:
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. EMNLP (Findings) 2022: 1687-1700 - [c732]Ming Zhong
, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han:
Towards a Unified Multi-Dimensional Evaluator for Text Generation. EMNLP 2022: 2023-2038 - [c731]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. EMNLP (Findings) 2022: 3833-3847 - [c730]Ming Zhong
, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han:
Unsupervised Multi-Granularity Summarization. EMNLP (Findings) 2022: 4980-4995 - [c729]Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han:
Open-Vocabulary Argument Role Prediction For Event Extraction. EMNLP (Findings) 2022: 5404-5418 - [c728]Sha Li, Heng Ji, Jiawei Han:
Open Relation and Event Type Discovery with Type Abstraction. EMNLP 2022: 6864-6877 - [c727]Yuning Mao, Ming Zhong, Jiawei Han:
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision. EMNLP 2022: 10922-10935 - [c726]Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr
:
THINK: Temporal Hypergraph Hyperbolic Network. ICDM 2022: 849-854 - [c725]Yu Meng
, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul N. Bennett, Jiawei Han, Xia Song:
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. ICLR 2022 - [c724]Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke:
Chemical-Reaction-Aware Molecule Representation Learning. ICLR 2022 - [c723]Jiaxin Huang, Yu Meng, Jiawei Han:
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. KDD 2022: 605-614 - [c722]Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han:
Unsupervised Key Event Detection from Massive Text Corpora. KDD 2022: 2535-2544 - [c721]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Adapting Pretrained Representations for Text Mining. KDD 2022: 4806-4807 - [c720]Xuan Wang
, Hongwei Wang, Heng Ji, Jiawei Han:
New Frontiers of Scientific Text Mining: Tasks, Data, and Tools. KDD 2022: 4832-4833 - [c719]Yu Zhang
, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han:
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. NAACL-HLT 2022: 279-290 - [c718]Yuxin Xiao, Zecheng Zhang
, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. NAACL-HLT 2022: 2395-2409 - [c717]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. NeurIPS 2022 - [c716]Yu Zhang
, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han:
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. WSDM 2022: 1357-1367 - [c715]Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang
, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode
, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte
, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu
, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis
, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra
, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang
, Yang Zhang
, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [c714]Minhao Jiang
, Xiangchen Song, Jieyu Zhang, Jiawei Han:
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. WWW 2022: 925-934 - [c713]Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han:
KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW 2022: 1301-1310 - [c712]Dongha Lee
, Jiaming Shen, Seongku Kang
, Susik Yoon
, Jiawei Han, Hwanjo Yu:
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. WWW 2022: 2819-2829 - [c711]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang
, Jiawei Han:
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. WWW 2022: 3143-3152 - [c710]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. WWW 2022: 3153-3161 - [c709]Yu Zhang
, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han:
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification. WWW 2022: 3162-3173 - [i157]Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu:
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. CoRR abs/2201.06771 (2022) - [i156]Ming Zhong, Yang Liu, Suyu Ge, Yuning Mao, Yizhu Jiao, Xingxing Zhang, Yichong Xu, Chenguang Zhu, Michael Zeng, Jiawei Han:
Unsupervised Summarization with Customized Granularities. CoRR abs/2201.12502 (2022) - [i155]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding. CoRR abs/2202.04538 (2022) - [i154]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han:
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. CoRR abs/2202.04582 (2022) - [i153]Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han:
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. CoRR abs/2202.04887 (2022) - [i152]Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han:
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification. CoRR abs/2202.05932 (2022) - [i151]Sha Li, Liyuan Liu, Yiqing Xie, Heng Ji, Jiawei Han:
PILED: An Identify-and-Localize Framework for Few-Shot Event Detection. CoRR abs/2202.07615 (2022) - [i150]Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han:
Shift-Robust Node Classification via Graph Adversarial Clustering. CoRR abs/2203.15802 (2022) - [i149]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. CoRR abs/2204.03243 (2022) - [i148]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. CoRR abs/2204.13874 (2022) - [i147]Yu Zhang, Yu Meng, Xuan Wang
, Sheng Wang, Jiawei Han:
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. CoRR abs/2205.01845 (2022) - [i146]Yuning Mao, Ming Zhong, Jiawei Han:
CiteSum: Citation Text-guided Scientific Extreme Summarization and Low-resource Domain Adaptation. CoRR abs/2205.06207 (2022) - [i145]Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han:
Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks. CoRR abs/2205.10282 (2022) - [i144]Jiaxin Huang, Tianqi Liu, Jialu Liu, Ádám D. Lelkes, Cong Yu, Jiawei Han:
All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass. CoRR abs/2205.10744 (2022) - [i143]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. CoRR abs/2206.02921 (2022) - [i142]Yunyi Zhang, Fang Guo, Jiaming Shen, Jiawei Han:
Unsupervised Key Event Detection from Massive Text Corpora. CoRR abs/2206.04153 (2022) - [i141]Zhizhi Yu, Di Jin, Jianguo Wei, Ziyang Liu, Yue Shang, Yun Xiao, Jiawei Han, Lingfei Wu:
TeKo: Text-Rich Graph Neural Networks with External Knowledge. CoRR abs/2206.07253 (2022) - [i140]Jiaxin Huang, Yu Meng, Jiawei Han:
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation. CoRR abs/2206.13746 (2022) - [i139]Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He:
MentorGNN: Deriving Curriculum for Pre-Training GNNs. CoRR abs/2208.09905 (2022) - [i138]Xinyang Zhang, Yury Malkov, Omar Florez, Serim Park, Brian McWilliams, Jiawei Han, Ahmed El-Kishky:
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations. CoRR abs/2209.07562 (2022) - [i137]Liwen Sun, Jiawei Han:
Few-shot Text Classification with Dual Contrastive Consistency. CoRR abs/2209.15069 (2022) - [i136]Ming Zhong, Yang Liu, Da Yin, Yuning Mao, Yizhu Jiao, Pengfei Liu, Chenguang Zhu, Heng Ji, Jiawei Han:
Towards a Unified Multi-Dimensional Evaluator for Text Generation. CoRR abs/2210.07197 (2022) - [i135]Jiaxin Huang, Shixiang Shane Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han:
Large Language Models Can Self-Improve. CoRR abs/2210.11610 (2022) - [i134]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang
, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. CoRR abs/2210.13715 (2022) - [i133]Yizhu Jiao, Sha Li, Yiqing Xie, Ming Zhong, Heng Ji, Jiawei Han:
Open-Vocabulary Argument Role Prediction for Event Extraction. CoRR abs/2211.01577 (2022) - [i132]Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon
, Hwanjo Yu, Jiawei Han:
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. CoRR abs/2211.01981 (2022) - [i131]Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek F. Abdelzaher, Jiawei Han:
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning. CoRR abs/2211.03044 (2022) - [i130]Sha Li, Heng Ji, Jiawei Han:
Open Relation and Event Type Discovery with Type Abstraction. CoRR abs/2212.00178 (2022) - [i129]Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han:
Entity Set Co-Expansion in StackOverflow. CoRR abs/2212.02271 (2022) - [i128]Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, Jiawei Han:
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts. CoRR abs/2212.06002 (2022) - 2021
- [c708]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. ACL/IJCNLP (Findings) 2021: 344-350 - [c707]Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han:
Training ELECTRA Augmented with Multi-word Selection. ACL/IJCNLP (Findings) 2021: 2475-2486 - [c706]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Generation-Augmented Retrieval for Open-Domain Question Answering. ACL/IJCNLP (1) 2021: 4089-4100 - [c705]Yuning Mao, Wenchang Ma, Deren Lei, Jiawei Han, Xiang Ren:
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation. EMNLP (1) 2021: 5063-5074 - [c704]Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss:
The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction. EMNLP (1) 2021: 5203-5215 - [c703]Xuan Wang, Vivian Hu, Xiangchen Song, Shweta Garg, Jinfeng Xiao, Jiawei Han:
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision. EMNLP (1) 2021: 5227-5240 - [c702]Jiaming Shen, Yunyi Zhang, Heng Ji, Jiawei Han:
Corpus-based Open-Domain Event Type Induction. EMNLP (1) 2021: 5427-5440 - [c701]Yu Meng
, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han:
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. EMNLP (1) 2021: 10367-10378 - [c700]Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: An Empirical Baseline Study. EMNLP (1) 2021: 10408-10423 - [c699]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. ICDM 2021: 837-846 - [c698]Dongha Lee
, Dongmin Hyun, Jiawei Han, Hwanjo Yu:
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. ICDM 2021: 1186-1191 - [c697]Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han:
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. ICLR 2021 - [c696]Carl Yang, Jieyu Zhang, Jiawei Han:
TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). IJCAI 2021: 4859-4863 - [c695]Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang:
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. KDD 2021: 478-486 - [c694]Yu Meng, Jiaxin Huang, Yu Zhang, Jiawei Han:
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining. KDD 2021: 4052-4053 - [c693]Jinfeng Xiao, Lidan Wang, Franck Dernoncourt, Trung Bui, Tong Sun, Jiawei Han:
Open-Domain Question Answering with Pre-Constructed Question Spaces. NAACL-HLT (Student Research Workshop) 2021: 61-67 - [c692]Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth:
Event Time Extraction and Propagation via Graph Attention Networks. NAACL-HLT 2021: 62-73 - [c691]Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma
, Jingxuan Tu, Ying Lin, Haoran Zhang
, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi R. Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. NAACL-HLT (Demonstrations) 2021: 66-77 - [c690]Haoyang Wen, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang
, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Ren Fung, Piyush Mishra
, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji:
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. NAACL-HLT (Demonstrations) 2021: 133-143 - [c689]Sha Li, Heng Ji, Jiawei Han:
Document-Level Event Argument Extraction by Conditional Generation. NAACL-HLT 2021: 894-908 - [c688]Jiaming Shen, Wenda Qiu, Yu Meng
, Jingbo Shang, Xiang Ren, Jiawei Han:
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. NAACL-HLT 2021: 4239-4249 - [c687]Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han:
On the Transformer Growth for Progressive BERT Training. NAACL-HLT 2021: 5174-5180 - [c686]Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han:
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. NeurIPS 2021: 1766-1779 - [c685]Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han:
Universal Graph Convolutional Networks. NeurIPS 2021: 10654-10664 - [c684]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. NeurIPS 2021: 23102-23114 - [c683]Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. NeurIPS 2021: 27965-27977 - [c682]Luyu Gao, Yunyi Zhang, Jiawei Han, Jamie Callan:
Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup. RepL4NLP@ACL-IJCNLP 2021: 316-321 - [c681]Qi Zhu, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han:
SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization. SDM 2021: 477-485 - [c680]Huajie Shao, Tarek F. Abdelzaher, Jiawei Han, Minhao Jiang
, Yuning Mao, Yu Meng, Wenda Qiu, Dachun Sun
, Ruijie Wang, Chaoqi Yang, Zhenzhou Yang, Xinyang Zhang, Yu Zhang, Sam Cohen, James Flamino, György Korniss
, Omar Malik, Aamir Mandviwalla, Boleslaw K. Szymanski, Lake Yin:
Simulating Online Social Response: A Stimulus/Response Perspective. WSC 2021: 1-12 - [c679]Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han:
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. WSDM 2021: 157-165 - [c678]Yu Zhang
, Xiusi Chen, Yu Meng, Jiawei Han:
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. WSDM 2021: 770-778 - [c677]Yu Zhang
, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han:
MATCH: Metadata-Aware Text Classification in A Large Hierarchy. WWW 2021: 3246-3257 - [c676]Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. WWW 2021: 3258-3268 - [i127]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. CoRR abs/2101.00294 (2021) - [i126]Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han:
MATCH: Metadata-Aware Text Classification in A Large Hierarchy. CoRR abs/2102.07349 (2021) - [i125]Yu Meng, Chenyan Xiong, Payal Bajaj, Saurabh Tiwary, Paul Bennett, Jiawei Han, Xia Song:
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. CoRR abs/2102.08473 (2021) - [i124]Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. CoRR abs/2102.11479 (2021) - [i123]Xiangchen Song, Jiaming Shen, Jieyu Zhang, Jiawei Han:
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion. CoRR abs/2104.03682 (2021) - [i122]Sha Li, Heng Ji, Jiawei Han:
Document-Level Event Argument Extraction by Conditional Generation. CoRR abs/2104.05919 (2021) - [i121]Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, Clare R. Voss:
Future is not One-dimensional: Graph Modeling based Complex Event Schema Induction for Event Prediction. CoRR abs/2104.06344 (2021) - [i120]Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang:
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. CoRR abs/2105.14078 (2021) - [i119]Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu, Jiawei Han:
Training ELECTRA Augmented with Multi-word Selection. CoRR abs/2106.00139 (2021) - [i118]Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, Jiawei Han:
Eider: Evidence-enhanced Document-level Relation Extraction. CoRR abs/2106.08657 (2021) - [i117]Liyuan Liu, Jialu Liu, Jiawei Han:
Multi-head or Single-head? An Empirical Comparison for Transformer Training. CoRR abs/2106.09650 (2021) - [i116]Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi:
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. CoRR abs/2108.01099 (2021) - [i115]Jiaming Shen, Yunyi Zhang, Heng Ji, Jiawei Han:
Corpus-based Open-Domain Event Type Induction. CoRR abs/2109.03322 (2021) - [i114]Yu Meng, Yunyi Zhang, Jiaxin Huang, Xuan Wang, Yu Zhang, Heng Ji, Jiawei Han:
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training. CoRR abs/2109.05003 (2021) - [i113]Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin D. Burke:
Chemical-Reaction-Aware Molecule Representation Learning. CoRR abs/2109.09888 (2021) - [i112]Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. CoRR abs/2109.12093 (2021) - [i111]Wei Shen, Yuhan Li, Yinan Liu, Jiawei Han, Jianyong Wang, Xiaojie Yuan:
Entity Linking Meets Deep Learning: Techniques and Solutions. CoRR abs/2109.12520 (2021) - [i110]Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Wen-tau Yih, Madian Khabsa:
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. CoRR abs/2110.07577 (2021) - [i109]Suyu Ge, Jiaxin Huang, Yu Meng, Sharon Wang, Jiawei Han:
Fine-Grained Opinion Summarization with Minimal Supervision. CoRR abs/2110.08845 (2021) - [i108]Yu Zhang, Shweta Garg, Yu Meng, Xiusi Chen, Jiawei Han:
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information. CoRR abs/2111.04022 (2021) - [i107]Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu:
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. CoRR abs/2111.12796 (2021) - 2020
- [j195]Tarek F. Abdelzaher
, Jiawei Han, Yifan Hao, Andong Jing, Dongxin Liu, Shengzhong Liu, Hoang Hai Nguyen, David M. Nicol, Huajie Shao, Tianshi Wang
, Shuochao Yao, Yu Zhang, Omar Malik, Stephen Dipple, James Flamino, Fred Buchanan, Sam Cohen, György Korniss
, Boleslaw K. Szymanski
:
Multiscale online media simulation with SocialCube. Comput. Math. Organ. Theory 26(2): 145-174 (2020) - [j194]Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han:
Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts. Frontiers Big Data 3: 9 (2020) - [j193]Chanyoung Park, Jiawei Han, Hwanjo Yu:
Deep multiplex graph infomax: Attentive multiplex network embedding using global information. Knowl. Based Syst. 197: 105861 (2020) - [j192]Saurabh Bagchi
, Vaneet Aggarwal
, Somali Chaterji, Fred Douglis
, Aly El Gamal
, Jiawei Han, Brian J. Henz, Henry Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou
, Xiaokang Qiu
, Gesualdo Scutari:
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures. IEEE Open J. Comput. Soc. 1: 155-172 (2020) - [c675]Chanyoung Park, Donghyun Kim
, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. AAAI 2020: 5371-5378 - [c674]Xuan Wang, Yingjun Guan, Weili Liu, Aabhas Chauhan, Enyi Jiang, Qi Li
, David Liem, Dibakar Sigdel, John Caufield, Peipei Ping, Jiawei Han:
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences. ACL (demo) 2020: 56-62 - [c673]Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han:
Facet-Aware Evaluation for Extractive Summarization. ACL 2020: 4941-4957 - [c672]Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han:
Empower Entity Set Expansion via Language Model Probing. ACL 2020: 8151-8160 - [c671]Xuan Wang
, Xiangchen Song, Bangzheng Li, Kang Zhou, Qi Li
, Jiawei Han:
Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature. BIBM 2020: 491-494 - [c670]Xuan Wang
, Yingjun Guan, Yu Zhang, Qi Li
, Jiawei Han:
Pattern-enhanced Named Entity Recognition with Distant Supervision. IEEE BigData 2020: 818-827 - [c669]Xuan Wang, Yu Zhang, Aabhas Chauhan, Qi Li, Jiawei Han:
Textual Evidence Mining via Spherical Heterogeneous Information Network Embedding. IEEE BigData 2020: 828-837 - [c668]Carl Yang, Liyuan Liu, Mengxiong Liu, Zongyi Wang, Chao Zhang, Jiawei Han:
Graph Clustering with Embedding Propagation. IEEE BigData 2020: 858-867 - [c667]Jiaming Shen, Heng Ji, Jiawei Han:
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. EMNLP (1) 2020: 303-313 - [c666]Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. EMNLP (1) 2020: 1737-1751 - [c665]Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han:
Understanding the Difficulty of Training Transformers. EMNLP (1) 2020: 5747-5763 - [c664]Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han:
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. EMNLP (1) 2020: 6989-6999 - [c663]Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han:
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. EMNLP (1) 2020: 8292-8307 - [c662]Yu Meng
, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. EMNLP (1) 2020: 9006-9017 - [c661]Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, Jiawei Han:
Mining Text Outliers in Document Directories. ICDM 2020: 152-161 - [c660]Carl Yang, Jieyu Zhang, Jiawei Han:
Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. ICDM 2020: 721-730 - [c659]Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han:
On the Variance of the Adaptive Learning Rate and Beyond. ICLR 2020 - [c658]Yiqing Xie
, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han:
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation. IJCAI 2020: 1303-1309 - [c657]Dawei Zhou, Lecheng Zheng
, Jiawei Han, Jingrui He:
A Data-Driven Graph Generative Model for Temporal Interaction Networks. KDD 2020: 401-411 - [c656]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim
, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. KDD 2020: 1435-1445 - [c655]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang
, Jiawei Han:
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. KDD 2020: 1908-1917 - [c654]Jiaxin Huang, Yiqing Xie
, Yu Meng, Yunyi Zhang, Jiawei Han:
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. KDD 2020: 1928-1936 - [c653]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. KDD 2020: 2247-2257 - [c652]Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Charles Rosenberg, Jure Leskovec:
MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. KDD 2020: 2434-2443 - [c651]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma
, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang
, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734 - [c650]Yu Meng, Jiaxin Huang, Jiawei Han:
Embedding-Driven Multi-Dimensional Topic Mining and Text Analysis. KDD 2020: 3573-3574 - [c649]Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat
, Jiawei Han:
FUSE: Multi-faceted Set Expansion by Coherent Clustering of Skip-Grams. ECML/PKDD (3) 2020: 617-632 - [c648]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang
, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. SIGIR 2020: 1231-1240 - [c647]Honglei Zhuang, Fang Guo, Chao Zhang, Liyuan Liu, Jiawei Han:
Joint Aspect-Sentiment Analysis with Minimal User Guidance. SIGIR 2020: 1241-1250 - [c646]Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han:
Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. SIGIR 2020: 1629-1632 - [c645]Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han:
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. WSDM 2020: 510-518 - [c644]Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. WSDM 2020: 699-707 - [c643]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. WWW 2020: 486-497 - [c642]Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu
, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai
, Nicholas Zukoski:
Generating Representative Headlines for News Stories. WWW 2020: 1773-1784 - [c641]Jingbo Shang, Xinyang Zhang, Liyuan Liu, Sha Li, Jiawei Han:
NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network. WWW 2020: 1908-1919 - [c640]Yu Meng
, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang
, Yu Zhang, Jiawei Han:
Discriminative Topic Mining via Category-Name Guided Text Embedding. WWW 2020: 2121-2132 - [c639]Jiaxin Huang, Yiqing Xie
, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han:
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. WWW 2020: 2188-2198 - [c638]Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han:
Collective Multi-type Entity Alignment Between Knowledge Graphs. WWW 2020: 2241-2252 - [i106]Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han:
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. CoRR abs/2001.00132 (2020) - [i105]Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, Hongkun Yu, You Wu, Cong Yu, Daniel Finnie, Jiaqi Zhai, Nicholas Zukoski:
Generating Representative Headlines for News Stories. CoRR abs/2001.09386 (2020) - [i104]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. CoRR abs/2001.09522 (2020) - [i103]Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han:
Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. CoRR abs/2001.10106 (2020) - [i102]Carl Yang, Mengxiong Liu, Frank He, Jian Peng, Jiawei Han:
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. CoRR abs/2002.00841 (2020) - [i101]Xuan Wang, Xiangchen Song, Yingjun Guan, Bangzheng Li, Jiawei Han:
Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision. CoRR abs/2003.12218 (2020) - [i100]Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. CoRR abs/2004.00216 (2020) - [i99]Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han:
Understanding the Difficulty of Training Transformers. CoRR abs/2004.08249 (2020) - [i98]Xuan Wang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Jiawei Han:
Automatic Textual Evidence Mining in COVID-19 Literature. CoRR abs/2004.12563 (2020) - [i97]Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han:
Empower Entity Set Expansion via Language Model Probing. CoRR abs/2004.13897 (2020) - [i96]Shi Zhi, Liyuan Liu, Yu Zhang, Shiyin Wang, Qi Li, Chao Zhang, Jiawei Han:
Partially-Typed NER Datasets Integration: Connecting Practice to Theory. CoRR abs/2005.00502 (2020) - [i95]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. CoRR abs/2005.00624 (2020) - [i94]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. CoRR abs/2006.04239 (2020) - [i93]Jinfeng Xiao, Lidan Wang, Franck Dernoncourt, Trung Bui, Tong Sun, Jiawei Han:
Open-Domain Question Answering with Pre-Constructed Question Spaces. CoRR abs/2006.08337 (2020) - [i92]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. CoRR abs/2006.10276 (2020) - [i91]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma
, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020) - [i90]Qingyun Wang
, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. CoRR abs/2007.00576 (2020) - [i89]Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-paths. CoRR abs/2007.02643 (2020) - [i88]Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Chao Zhang, Jiawei Han:
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding. CoRR abs/2007.09536 (2020) - [i87]Qi Zhu, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han, Carl Yang:
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. CoRR abs/2009.05204 (2020) - [i86]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Generation-Augmented Retrieval for Open-domain Question Answering. CoRR abs/2009.08553 (2020) - [i85]Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han:
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. CoRR abs/2009.13827 (2020) - [i84]Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. CoRR abs/2010.00117 (2020) - [i83]Jiaming Shen, Heng Ji, Jiawei Han:
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding. CoRR abs/2010.00677 (2020) - [i82]Wanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han:
A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling. CoRR abs/2010.01986 (2020) - [i81]Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, Jiawei Han:
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding. CoRR abs/2010.06705 (2020) - [i80]Jiaxin Huang, Yiqing Xie, Yu Meng, Yunyi Zhang, Jiawei Han:
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring. CoRR abs/2010.06714 (2020) - [i79]Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, Jiawei Han:
Text Classification Using Label Names Only: A Language Model Self-Training Approach. CoRR abs/2010.07245 (2020) - [i78]Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Jiawei Han, Weizhu Chen:
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. CoRR abs/2010.08670 (2020) - [i77]Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han:
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks. CoRR abs/2010.12157 (2020) - [i76]Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han:
On the Transformer Growth for Progressive BERT Training. CoRR abs/2010.12562 (2020) - [i75]Yuning Mao, Xiang Ren, Heng Ji, Jiawei Han:
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation. CoRR abs/2010.12723 (2020) - [i74]Yu Zhang, Xiusi Chen, Yu Meng, Jiawei Han:
Hierarchical Metadata-Aware Document Categorization under Weak Supervision. CoRR abs/2010.13556 (2020) - [i73]Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: A Comprehensive Study. CoRR abs/2012.14978 (2020)
2010 – 2019
- 2019
- [b10]Chao Zhang, Jiawei Han:
Multidimensional Mining of Massive Text Data. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2019, ISBN 978-3-031-00786-6 - [j191]Xuan Wang
, Yu Zhang
, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han:
Cross-type biomedical named entity recognition with deep multi-task learning. Bioinform. 35(10): 1745-1752 (2019) - [j190]Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han:
TextCube: Automated Construction and Multidimensional Exploration. Proc. VLDB Endow. 12(12): 1974-1977 (2019) - [c637]Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler
, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. AAAI 2019: 249-256 - [c636]Yu Meng
, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Hierarchical Text Classification. AAAI 2019: 6826-6833 - [c635]Ying Lin, Liyuan Liu, Heng Ji, Dong Yu, Jiawei Han:
Reliability-aware Dynamic Feature Composition for Name Tagging. ACL (1) 2019: 165-174 - [c634]Xuan Wang
, Yu Zhang, Qi Li
, Xiang Ren, Jingbo Shang, Jiawei Han:
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion. BIBM 2019: 496-503 - [c633]Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han:
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. IEEE BigData 2019: 64-73 - [c632]Hyungsul Kim, Ahmed El-Kishky, Xiang Ren, Jiawei Han:
Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach. IEEE BigData 2019: 105-114 - [c631]Jiawei Han:
From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration. CIKM 2019: 5-6 - [c630]Chanyoung Park, Donghyun Kim
, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. CIKM 2019: 489-498 - [c629]Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han:
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. CIKM 2019: 599-608 - [c628]Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han:
Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CIKM 2019: 2121-2124 - [c627]Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren:
Hierarchical Text Classification with Reinforced Label Assignment. EMNLP/IJCNLP (1) 2019: 445-455 - [c626]Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han:
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. EMNLP/IJCNLP (1) 2019: 5153-5162 - [c625]Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. ICDM 2019: 698-707 - [c624]Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang
, Qi Li, Jiawei Han:
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. ICDM 2019: 876-885 - [c623]Carl Yang, Jiawei Han:
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. ICDM Workshops 2019: 1088-1089 - [c622]Jingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han:
Constructing and Mining Heterogeneous Information Networks from Massive Text. KDD 2019: 3191-3192 - [c621]Diya Li, Lifu Huang, Heng Ji, Jiawei Han:
Biomedical Event Extraction based on Knowledge-driven Tree-LSTM. NAACL-HLT (1) 2019: 1421-1430 - [c620]Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han:
Spherical Text Embedding. NeurIPS 2019: 8206-8215 - [c619]Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han:
User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription. ECML/PKDD (1) 2019: 361-377 - [c618]Sha Li, Chao Zhang, Dongming Lei, Ji Li, Jiawei Han:
GeoAttn: Localization of Social Media Messages via Attentional Memory Network. SDM 2019: 64-72 - [c617]Liyuan Liu, Jingbo Shang, Jiawei Han:
Arabic Named Entity Recognition: What Works and What's Next. WANLP@ACL 2019 2019: 60-67 - [c616]Ahmed El-Kishky, Xingyu Fu, Aseel Addawood, Nahil A. Sobh, Clare R. Voss, Jiawei Han:
Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings. WANLP@ACL 2019 2019: 88-96 - [c615]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han:
Integrating Local Context and Global Cohesiveness for Open Information Extraction. WSDM 2019: 42-50 - [c614]Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang
, Shaohan Hu, Lu Su, Jiawei Han, Tarek F. Abdelzaher:
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. WWW 2019: 2192-2202 - [c613]Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han:
Place Deduplication with Embeddings. WWW 2019: 3420-3426 - [i72]Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, Lu Su, Jiawei Han, Tarek F. Abdelzaher:
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. CoRR abs/1902.07849 (2019) - [i71]Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. CoRR abs/1906.01546 (2019) - [i70]Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han:
On the Variance of the Adaptive Learning Rate and Beyond. CoRR abs/1908.03265 (2019) - [i69]Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han:
Raw-to-End Name Entity Recognition in Social Media. CoRR abs/1908.05344 (2019) - [i68]Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han:
CatE: Category-Name GuidedWord Embedding. CoRR abs/1908.07162 (2019) - [i67]Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han:
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. CoRR abs/1908.07832 (2019) - [i66]Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han:
Facet-Aware Evaluation for Extractive Text Summarization. CoRR abs/1908.10383 (2019) - [i65]Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren:
Hierarchical Text Classification with Reinforced Label Assignment. CoRR abs/1908.10419 (2019) - [i64]Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han:
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. CoRR abs/1909.01441 (2019) - [i63]Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han:
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. CoRR abs/1909.01584 (2019) - [i62]Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han:
Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CoRR abs/1909.13183 (2019) - [i61]Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han:
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. CoRR abs/1910.00004 (2019) - [i60]Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. CoRR abs/1910.00005 (2019) - [i59]Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han:
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. CoRR abs/1910.01447 (2019) - [i58]Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han:
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. CoRR abs/1910.01448 (2019) - [i57]Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han:
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. CoRR abs/1910.01451 (2019) - [i56]Wanzheng Zhu, Hongyu Gong, Jiaming Shen, Chao Zhang, Jingbo Shang, Suma Bhat, Jiawei Han:
FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams. CoRR abs/1910.04345 (2019) - [i55]Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han:
Place Deduplication with Embeddings. CoRR abs/1910.04861 (2019) - [i54]Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han:
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. CoRR abs/1910.07115 (2019) - [i53]Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han:
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. CoRR abs/1910.08192 (2019) - [i52]Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han:
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. CoRR abs/1910.08194 (2019) - [i51]Yu Meng, Jiaxin Huang, Guangyuan Wang, Chao Zhang, Honglei Zhuang, Lance M. Kaplan, Jiawei Han:
Spherical Text Embedding. CoRR abs/1911.01196 (2019) - [i50]Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myunghwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. CoRR abs/1911.05465 (2019) - [i49]Hyungsul Kim, Ahmed El-Kishky, Xiang Ren, Jiawei Han:
Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach. CoRR abs/1911.06407 (2019) - [i48]Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. CoRR abs/1911.06750 (2019) - [i47]Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Hank Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari:
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures. CoRR abs/1912.11598 (2019) - 2018
- [b9]Xiang Ren, Jiawei Han:
Mining Structures of Factual Knowledge from Text: An Effort-Light Approach. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00784-2 - [j189]Chenguang Wang, Yangqiu Song
, Haoran Li, Ming Zhang
, Jiawei Han:
Unsupervised meta-path selection for text similarity measure based on heterogeneous information networks. Data Min. Knowl. Discov. 32(6): 1735-1767 (2018) - [j188]Julie Yixuan Zhu
, Chao Zhang, Huichu Zhang, Shi Zhi, Victor O. K. Li, Jiawei Han, Yu Zheng:
pg-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data. IEEE Trans. Big Data 4(4): 571-585 (2018) - [j187]Chao Zhang
, Dongming Lei, Quan Yuan, Honglei Zhuang, Lance M. Kaplan, Shaowen Wang, Jiawei Han:
GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams. ACM Trans. Intell. Syst. Technol. 9(3): 34:1-34:24 (2018) - [j186]Wei Shen
, Jiawei Han, Jianyong Wang, Xiaojie Yuan, Zhenglu Yang
:
SHINE+: A General Framework for Domain-Specific Entity Linking with Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 30(2): 353-366 (2018) - [j185]Jingbo Shang
, Meng Jiang
, Wenzhu Tong, Jinfeng Xiao
, Jian Peng
, Jiawei Han:
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. IEEE Trans. Knowl. Data Eng. 30(7): 1226-1239 (2018) - [j184]Jingbo Shang
, Jialu Liu, Meng Jiang
, Xiang Ren, Clare R. Voss, Jiawei Han:
Automated Phrase Mining from Massive Text Corpora. IEEE Trans. Knowl. Data Eng. 30(10): 1825-1837 (2018) - [j183]Wenjun Jiang, Chenglin Miao
, Lu Su
, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu
, Tarek F. Abdelzaher, Jiawei Han, Xue (Steve) Liu, Yan Gao, Lance M. Kaplan:
Towards Quality Aware Information Integration in Distributed Sensing Systems. IEEE Trans. Parallel Distributed Syst. 29(1): 198-211 (2018) - [c612]Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han:
Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach. AAAI 2018: 531-538 - [c611]Wanzheng Zhu, Chao Zhang, Shuochao Yao, Xiaobin Gao, Jiawei Han:
A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling. AAAI 2018: 4613-4620 - [c610]Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han:
Empower Sequence Labeling with Task-Aware Neural Language Model. AAAI 2018: 5253-5260 - [c609]Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han:
End-to-End Reinforcement Learning for Automatic Taxonomy Induction. ACL (1) 2018: 2462-2472 - [c608]Carl Yang, Mengxiong Liu, Vincent W. Zheng, Jiawei Han:
Node, Motif and Subgraph: Leveraging Network Functional Blocks Through Structural Convolution. ASONAM 2018: 47-52 - [c607]Xuan Wang
, Yu Zhang, Qi Li, Yinyin Chen, Jiawei Han:
Open Information Extraction with Meta-pattern Discovery in Biomedical Literature. BCB 2018: 291-300 - [c606]Qi Li
, Xuan Wang
, Yu Zhang, Fei Ling, Cathy H. Wu
, Jiawei Han:
Pattern Discovery for Wide-Window Open Information Extraction in Biomedical Literature. BIBM 2018: 420-427 - [c605]Xuan Wang, Yu Zhang, Qi Li
, Cathy H. Wu
, Jiawei Han:
PENNER: Pattern-enhanced Nested Named Entity Recognition in Biomedical Literature. BIBM 2018: 540-547 - [c604]Quan Yuan, Xiang Ren, Wenqi He, Chao Zhang
, Xinhe Geng, Lifu Huang, Heng Ji, Chin-Yew Lin, Jiawei Han:
Open-Schema Event Profiling for Massive News Corpora. CIKM 2018: 587-596 - [c603]Yu Meng
, Jiaming Shen, Chao Zhang
, Jiawei Han:
Weakly-Supervised Neural Text Classification. CIKM 2018: 983-992 - [c602]Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han:
Investigating Rumor News Using Agreement-Aware Search. CIKM 2018: 2117-2125 - [c601]Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng, Jiawei Han:
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. EMNLP 2018: 1215-1225 - [c600]Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han:
Learning Named Entity Tagger using Domain-Specific Dictionary. EMNLP 2018: 2054-2064 - [c599]Carl Yang, Chao Zhang
, Xuewen Chen, Jieping Ye, Jiawei Han:
Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding. ICDE 2018: 1392-1403 - [c598]Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han:
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. ICDM 2018: 657-666 - [c597]Shi Zhi, Fan Yang
, Zheyi Zhu, Qi Li, Zhaoran Wang, Jiawei Han:
Dynamic Truth Discovery on Numerical Data. ICDM 2018: 817-826 - [c596]Fangbo Tao, Chao Zhang
, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance M. Kaplan, Jiawei Han:
Doc2Cube: Allocating Documents to Text Cube Without Labeled Data. ICDM 2018: 1260-1265 - [c595]Doris Xin, Ahmed El-Kishky, De Liao, Brandon Norick, Jiawei Han:
Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach. ICDM 2018: 1350-1355 - [c594]Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han:
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. KDD 2018: 914-922 - [c593]Qi Li
, Meng Jiang, Xikun Zhang
, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han:
TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. KDD 2018: 1675-1684 - [c592]Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang
, Xiang Ren, Michelle T. Vanni, Brian M. Sadler
, Jiawei Han:
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. KDD 2018: 2180-2189 - [c591]Yu Shi, Qi Zhu, Fang Guo, Chao Zhang
, Jiawei Han:
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. KDD 2018: 2190-2199 - [c590]Chao Zhang
, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler
, Michelle Vanni, Jiawei Han:
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. KDD 2018: 2701-2709 - [c589]William Dron, Andrew Hunter, Ali Sydney, Siddharth Pal, John P. Hancock, Lisa Scott, Tarek F. Abdelzaher, Jiawei Han, Sibel Adali, Benjamin D. Horne:
Multi-Domain Integration and Correlation Engine. MILCOM 2018: 1-9 - [c588]Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang
, Jian Peng, Jiawei Han:
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. ECML/PKDD (2) 2018: 37-54 - [c587]Sheng Wang, Jianzhu Ma, Michael Ku Yu, Fan Zheng, Edward W. Huang, Jiawei Han, Jian Peng, Trey Ideker:
Annotating gene sets by mining large literature collections with protein networks. PSB 2018: 601-613 - [c586]Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han:
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. SDM 2018: 144-152 - [c585]Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han:
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. SIGIR 2018: 565-574 - [c584]Jiawei Han:
On the Power of Massive Text Data. WSDM 2018: 2 - [c583]Meng Qu, Jian Tang, Jiawei Han:
Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. WSDM 2018: 468-476 - [c582]Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han:
Indirect Supervision for Relation Extraction using Question-Answer Pairs. WSDM 2018: 646-654 - [c581]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Open Information Extraction with Global Structure Constraints. WWW (Companion Volume) 2018: 57-58 - [c580]Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han:
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. WWW 2018: 1257-1266 - [r30]Jiawei Han:
Data Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - [r29]Jiawei Han, Bolin Ding:
Stream Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - [r28]Hong Cheng, Jiawei Han:
Frequent Itemsets and Association Rules. Encyclopedia of Database Systems (2nd ed.) 2018 - [r27]Hong Cheng, Jiawei Han:
Pattern-Growth Methods. Encyclopedia of Database Systems (2nd ed.) 2018 - [r26]Yizhou Sun, Jiawei Han:
Ranking Methods for Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [r25]Chi Wang, Jiawei Han:
Role Discovery. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i46]Yu Shi, Fangqiu Han, Xinran He, Carl Yang, Jie Luo, Jiawei Han:
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding. CoRR abs/1801.06597 (2018) - [i45]Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han:
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning. CoRR abs/1801.09851 (2018) - [i44]Jingbo Shang, Xiyao Shi, Meng Jiang, Liyuan Liu, Timothy P. Hanratty, Jiawei Han:
Contrast Subgraph Mining from Coherent Cores. CoRR abs/1802.06189 (2018) - [i43]Jingbo Shang, Tianhang Sun, Jiaming Shen, Xingbang Liu, Anja Gruenheid, Flip Korn, Ádám D. Lelkes, Cong Yu, Jiawei Han:
Investigating Rumor News Using Agreement-Aware Search. CoRR abs/1802.07398 (2018) - [i42]Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han:
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. CoRR abs/1803.01848 (2018) - [i41]Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han:
Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings. CoRR abs/1803.03370 (2018) - [i40]Liyuan Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han:
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. CoRR abs/1804.07827 (2018) - [i39]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Integrating Local Context and Global Cohesiveness for Open Information Extraction. CoRR abs/1804.09931 (2018) - [i38]Jiaming Shen, Jinfeng Xiao, Xinwei He, Jingbo Shang, Saurabh Sinha, Jiawei Han:
Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. CoRR abs/1804.10877 (2018) - [i37]Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han:
End-to-End Reinforcement Learning for Automatic Taxonomy Induction. CoRR abs/1805.04044 (2018) - [i36]Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han:
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. CoRR abs/1807.03490 (2018) - [i35]Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Neural Text Classification. CoRR abs/1809.01478 (2018) - [i34]Jingbo Shang, Liyuan Liu, Xiang Ren, Xiaotao Gu, Teng Ren, Jiawei Han:
Learning Named Entity Tagger using Domain-Specific Dictionary. CoRR abs/1809.03599 (2018) - [i33]Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. CoRR abs/1811.07032 (2018) - [i32]Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han:
Higher-Order Clustering in Heterogeneous Information Networks. CoRR abs/1811.11320 (2018) - [i31]Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han:
TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. CoRR abs/1812.09551 (2018) - [i30]Yu Meng, Jiaming Shen, Chao Zhang, Jiawei Han:
Weakly-Supervised Hierarchical Text Classification. CoRR abs/1812.11270 (2018) - 2017
- [b8]Jialu Liu, Jingbo Shang, Jiawei Han:
Phrase Mining from Massive Text and Its Applications. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2017, ISBN 978-3-031-00782-8 - [j182]Lifu Huang, Jonathan May
, Xiaoman Pan, Heng Ji, Xiang Ren, Jiawei Han, Lin Zhao, James A. Hendler
:
Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems. Big Data 5(1): 19-31 (2017) - [j181]Xiuli Ma, Guangyu Zhou, Jingbo Shang, Jingjing Wang, Jian Peng, Jiawei Han:
Detection of Complexes in Biological Networks Through Diversified Dense Subgraph Mining. J. Comput. Biol. 24(9): 923-941 (2017) - [j180]Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang
, Brandon Norick, Lance M. Kaplan, Jiawei Han:
Embedding Learning with Events in Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 29(11): 2428-2441 (2017) - [c579]Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang
, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han:
Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. ACL (System Demonstrations) 2017: 55-60 - [c578]Quan Yuan, Jingbo Shang, Xin Cao
, Chao Zhang
, Xinhe Geng, Jiawei Han:
Detecting Multiple Periods and Periodic Patterns in Event Time Sequences. CIKM 2017: 617-626 - [c577]Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han:
Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CIKM 2017: 1339-1348 - [c576]Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang
, Jiawei Han:
Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks. CIKM 2017: 1629-1638 - [c575]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang
, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CIKM 2017: 1767-1776 - [c574]Mengxiong Liu, Zhengchao Liu, Chao Zhang
, Keyang Zhang, Quan Yuan, Tim Hanratty, Jiawei Han:
Urbanity: A System for Interactive Exploration of Urban Dynamics from Streaming Human Sensing Data. CIKM 2017: 2503-2506 - [c573]Shi Zhi, Yicheng Sun, Jiayi Liu
, Chao Zhang
, Jiawei Han:
ClaimVerif: A Real-time Claim Verification System Using the Web and Fact Databases. CIKM 2017: 2555-2558 - [c572]Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han:
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. EMNLP 2017: 46-56 - [c571]Honglei Zhuang, Chi Wang, Fangbo Tao, Lance M. Kaplan, Jiawei Han:
Identifying Semantically Deviating Outlier Documents. EMNLP 2017: 2748-2757 - [c570]Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang
, Philip S. Yu, Jiawei Han:
Link Prediction across Aligned Networks with Sparse and Low Rank Matrix Estimation. ICDE 2017: 971-982 - [c569]Chao Zhang
, Quan Yuan, Jiawei Han:
Bringing Semantics to Spatiotemporal Data Mining: Challenges, Methods, and Applications. ICDE 2017: 1455-1458 - [c568]Jiawei Han:
Mining structures from massive text data: will it help software engineering? ASE 2017: 2 - [c567]Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han:
PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. KDD 2017: 425-434 - [c566]Chao Zhang
, Liyuan Liu, Dongming Lei, Quan Yuan, Honglei Zhuang, Tim Hanratty, Jiawei Han:
TrioVecEvent: Embedding-Based Online Local Event Detection in Geo-Tagged Tweet Streams. KDD 2017: 595-604 - [c565]Meng Jiang
, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han:
MetaPAD: Meta Pattern Discovery from Massive Text Corpora. KDD 2017: 877-886 - [c564]Meng Qu, Xiang Ren, Jiawei Han:
Automatic Synonym Discovery with Knowledge Bases. KDD 2017: 997-1005 - [c563]Carl Yang, Lanxiao Bai, Chao Zhang
, Quan Yuan, Jiawei Han:
Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation. KDD 2017: 1245-1254 - [c562]Jiawei Han, Dongming Yan, Lili Wang, Qinping Zhao:
Computing Restricted Voronoi Diagram on Graphics Hardware. PG (Short Papers) 2017: 23-26 - [c561]Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han:
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. ECML/PKDD (1) 2017: 288-304 - [c560]Chao Zhang
, Keyang Zhang, Quan Yuan, Fangbo Tao, Luming Zhang, Tim Hanratty, Jiawei Han:
ReAct: Online Multimodal Embedding for Recency-Aware Spatiotemporal Activity Modeling. SIGIR 2017: 245-254 - [c559]Jiawei Han:
Construction of Structured Heterogeneous Networks from Massive Text Data: Extended Abstract. NDA@SIGMOD 2017: 1:1 - [c558]Xiang Ren, Meng Jiang
, Jingbo Shang, Jiawei Han:
Building Structured Databases of Factual Knowledge from Massive Text Corpora. SIGMOD Conference 2017: 1741-1745 - [c557]Jiawei Han:
Mining Structures from Massive Text Data: A Data-Driven Approach. SIMBig 2017: 16-19 - [c556]Quan Yuan, Wei Zhang, Chao Zhang
, Xinhe Geng, Gao Cong
, Jiawei Han:
PRED: Periodic Region Detection for Mobility Modeling of Social Media Users. WSDM 2017: 263-272 - [c555]Xiang Ren, Yuanhua Lv, Kuansan Wang, Jiawei Han:
Comparative Document Analysis for Large Text Corpora. WSDM 2017: 325-334 - [c554]Chao Zhang
, Keyang Zhang, Quan Yuan, Haoruo Peng, Yu Zheng, Tim Hanratty, Shaowen Wang, Jiawei Han:
Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning. WWW 2017: 361-370 - [c553]Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han:
Constructing Structured Information Networks from Massive Text Corpora. WWW (Companion Volume) 2017: 951-954 - [c552]Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han:
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. WWW 2017: 1015-1024 - [r24]Jiawei Han:
OLAP, Spatial. Encyclopedia of GIS 2017: 1479-1482 - [r23]Xin Jin, Jiawei Han:
Expectation Maximization Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 480-482 - [r22]Xin Jin, Jiawei Han:
K-Means Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 695-697 - [r21]Xin Jin, Jiawei Han:
K-Medoids Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 697-700 - [r20]Xin Jin, Jiawei Han:
K-Way Spectral Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 700 - [r19]Xin Jin, Jiawei Han:
Locality Sensitive Hashing Based Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 758-759 - [r18]Xin Jin, Jiawei Han:
Mean Shift. Encyclopedia of Machine Learning and Data Mining 2017: 806-808 - [r17]Xin Jin, Jiawei Han:
Partitional Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 973-974 - [r16]Xin Jin, Jiawei Han:
Quality Threshold Clustering. Encyclopedia of Machine Learning and Data Mining 2017: 1033-1034 - [i29]Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R. Voss, Jiawei Han:
Automated Phrase Mining from Massive Text Corpora. CoRR abs/1702.04457 (2017) - [i28]Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han:
MetaPAD: Meta Pattern Discovery from Massive Text Corpora. CoRR abs/1703.04213 (2017) - [i27]Yu Shi, Po-Wei Chan, Honglei Zhuang, Huan Gui, Jiawei Han:
PReP: Path-Based Relevance from a Probabilistic Perspective in Heterogeneous Information Networks. CoRR abs/1706.01177 (2017) - [i26]Meng Qu, Xiang Ren, Jiawei Han:
Automatic Synonym Discovery with Knowledge Bases. CoRR abs/1706.08186 (2017) - [i25]Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han:
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. CoRR abs/1707.00166 (2017) - [i24]Liyuan Liu, Jingbo Shang, Frank F. Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han:
Empower Sequence Labeling with Task-Aware Neural Language Model. CoRR abs/1709.04109 (2017) - [i23]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CoRR abs/1709.06636 (2017) - [i22]Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han:
Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CoRR abs/1710.02271 (2017) - [i21]Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han:
Indirect Supervision for Relation Extraction using Question-Answer Pairs. CoRR abs/1710.11169 (2017) - [i20]Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han:
Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach. CoRR abs/1711.03226 (2017) - [i19]Carl Yang, Mengxiong Liu, Zongyi Wang, Liyuan Liu, Jiawei Han:
Graph Clustering with Dynamic Embedding. CoRR abs/1712.08249 (2017) - 2016
- [j179]Fangbo Tao, Honglei Zhuang, Chi Wang Yu, Qi Wang, Taylor Cassidy, Lance M. Kaplan, Clare R. Voss, Jiawei Han:
Multi-Dimensional, Phrase-Based Summarization in Text Cubes. IEEE Data Eng. Bull. 39(3): 74-84 (2016) - [j178]Jun Li, Jingjing Wang, Junfei Zhang
, Qiming Qin, Tanvi Jindal, Jiawei Han:
A probabilistic approach to detect mixed periodic patterns from moving object data. GeoInformatica 20(4): 715-739 (2016) - [j177]Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang
, Jiawei Han:
World Knowledge as Indirect Supervision for Document Clustering. ACM Trans. Knowl. Discov. Data 11(2): 13:1-13:36 (2016) - [j176]Yaliang Li
, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery. IEEE Trans. Knowl. Data Eng. 28(8): 1986-1999 (2016) - [j175]Tahseen Al-Khateeb, Mohammad M. Masud, Khaled Al-Naami, Sadi Evren Seker
, Ahmad M. Mustafa
, Latifur Khan
, Zouheir Trabelsi, Charu C. Aggarwal, Jiawei Han:
Recurring and Novel Class Detection Using Class-Based Ensemble for Evolving Data Stream. IEEE Trans. Knowl. Data Eng. 28(10): 2752-2764 (2016) - [c551]Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han:
Text Classification with Heterogeneous Information Network Kernels. AAAI 2016: 2130-2136 - [c550]Min Li, Jingjing Wang, Wenzhu Tong, Hongkun Yu, Xiuli Ma, Yucheng Chen, Haoyan Cai, Jiawei Han:
EKNOT: Event Knowledge from News and Opinions in Twitter. AAAI 2016: 4367-4368 - [c549]Lifu Huang, Taylor Cassidy, Xiaocheng Feng, Heng Ji, Clare R. Voss, Jiawei Han, Avirup Sil:
Liberal Event Extraction and Event Schema Induction. ACL (1) 2016 - [c548]Rostyslav Korolov, Di Lu, Jingjing Wang, Guangyu Zhou, Claire Bonial, Clare R. Voss, Lance M. Kaplan, William A. Wallace, Jiawei Han, Heng Ji:
On predicting social unrest using social media. ASONAM 2016: 89-95 - [c547]Huan Gui, Haishan Liu, Xiangrui Meng, Anmol Bhasin, Jiawei Han:
Downside management in recommender systems. ASONAM 2016: 394-401 - [c546]Qian Cheng, Jingbo Shang, Joshua Juen, Jiawei Han, Bruce R. Schatz:
Mining Discriminative Patterns to Predict Health Status for Cardiopulmonary Patients. BCB 2016: 41-49 - [c545]Jiawei Han:
On the power of big data: Mining structures from massive, unstructured text data. IEEE BigData 2016: 4 - [c544]Tarique Siddiqui, Xiang Ren, Aditya G. Parameswaran
, Jiawei Han:
FacetGist: Collective Extraction of Document Facets in Large Technical Corpora. CIKM 2016: 871-880 - [c543]Hongkun Yu, Jingbo Shang, Meichun Hsu, Malú Castellanos, Jiawei Han:
Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis. CIKM 2016: 939-948 - [c542]Lidan Wang, Ming Tan, Jiawei Han:
FastHybrid: A Hybrid Model for Efficient Answer Selection. COLING 2016: 2378-2388 - [c541]Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han:
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. EMNLP 2016: 1369-1378 - [c540]Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Jiawei Han:
Large-Scale Embedding Learning in Heterogeneous Event Data. ICDM 2016: 907-912 - [c539]Huan Gui, Jiawei Han, Quanquan Gu:
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation. ICML 2016: 2300-2309 - [c538]Isaac Jones, Ran Wang, Jiawei Han, Huan Liu:
Community Cores: Removing Size Bias from Community Detection. ICWSM 2016: 603-606 - [c537]Wei Zhang, Quan Yuan, Jiawei Han, Jianyong Wang:
Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction. IJCAI 2016: 2986-2992 - [c536]Jingjing Wang, Changsung Kang, Yi Chang, Jiawei Han:
Learning Hostname Preference to Enhance Search Relevance. IJCAI 2016: 3903-3909 - [c535]Meng Jiang
, Christos Faloutsos, Jiawei Han:
CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors. KDD 2016: 945-954 - [c534]Chao Zhang
, Keyang Zhang, Quan Yuan, Luming Zhang, Tim Hanratty, Jiawei Han:
GMove: Group-Level Mobility Modeling Using Geo-Tagged Social Media. KDD 2016: 1305-1314 - [c533]Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han:
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. KDD 2016: 1825-1834 - [c532]Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao:
From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach. KDD 2016: 1885-1894 - [c531]Jing Gao, Qi Li, Bo Zhao, Wei Fan, Jiawei Han:
Mining Reliable Information from Passively and Actively Crowdsourced Data. KDD 2016: 2121-2122 - [c530]Di Lu, Clare R. Voss, Fangbo Tao, Xiang Ren, Rachel Guan, Rostyslav Korolov, Tongtao Zhang, Dongang Wang
, Hongzhi Li, Taylor Cassidy, Heng Ji, Shih-Fu Chang, Jiawei Han, William A. Wallace, James A. Hendler, Mei Si, Lance M. Kaplan:
Cross-media Event Extraction and Recommendation. HLT-NAACL Demos 2016: 72-76 - [c529]Xiuli Ma, Guangyu Zhou, Jingjing Wang, Jian Peng, Jiawei Han:
Complexes Detection in Biological Networks via Diversified Dense Subgraphs Mining. RECOMB 2016: 270-272 - [c528]Jingbo Shang, Jian Peng, Jiawei Han:
MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance. SDM 2016: 558-566 - [c527]Jingbo Shang, Wenzhu Tong, Jian Peng, Jiawei Han:
DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework. SDM 2016: 567-575 - [c526]Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, Ming Zhang
:
RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks. SDM 2016: 621-629 - [c525]Chao Zhang
, Guangyu Zhou, Quan Yuan, Honglei Zhuang, Yu Zheng, Lance M. Kaplan, Shaowen Wang, Jiawei Han:
GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams. SIGIR 2016: 513-522 - [c524]Xiang Ren, Ahmed El-Kishky, Heng Ji, Jiawei Han:
Automatic Entity Recognition and Typing in Massive Text Data. SIGMOD Conference 2016: 2235-2239 - [c523]Jing Zhang, Honglei Zhuang, Yanglei Song, Jiawei Han, Yutao Zhang, Jie Tang, Juanzi Li:
Knowledge Fragment Enrichment Using Domain Knowledge Base. SMP 2016: 274-286 - [c522]Jingjing Wang, Min Li, Jiawei Han, Xiaolong Wang:
Modeling Check-in Preferences with Multidimensional Knowledge: A Minimax Entropy Approach. WSDM 2016: 297-306 - [c521]Aston Zhang, Amit Goyal, Ricardo Baeza-Yates
, Yi Chang
, Jiawei Han, Carl A. Gunter, Hongbo Deng:
Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach. WWW 2016: 579-590 - [c520]Xiang Ren, Ahmed El-Kishky, Chi Wang, Jiawei Han:
Automatic Entity Recognition and Typing in Massive Text Corpora. WWW (Companion Volume) 2016: 1025-1028 - [c519]Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R. Voss, Jiawei Han:
Representing Documents via Latent Keyphrase Inference. WWW 2016: 1057-1067 - [c518]Yang Li, Shulong Tan, Huan Sun, Jiawei Han, Dan Roth, Xifeng Yan:
Entity Disambiguation with Linkless Knowledge Bases. WWW 2016: 1261-1270 - [i18]Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han:
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. CoRR abs/1602.05307 (2016) - [i17]Xiuli Ma, Guangyu Zhou, Jingjing Wang, Jian Peng, Jiawei Han:
Complexes Detection in Biological Networks via Diversified Dense Subgraphs Mining. CoRR abs/1604.03244 (2016) - [i16]Chenguang Wang, Yangqiu Song, Dan Roth, Ming Zhang, Jiawei Han:
World Knowledge as Indirect Supervision for Document Clustering. CoRR abs/1608.00104 (2016) - [i15]Julie Yixuan Zhu, Chao Zhang, Shi Zhi, Victor O. K. Li, Jiawei Han, Yu Zheng:
p-Causality: Identifying Spatiotemporal Causal Pathways for Air Pollutants with Urban Big Data. CoRR abs/1610.07045 (2016) - [i14]Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han:
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. CoRR abs/1610.08763 (2016) - [i13]Jingbo Shang, Meng Qu, Jialu Liu, Lance M. Kaplan, Jiawei Han, Jian Peng:
Meta-Path Guided Embedding for Similarity Search in Large-Scale Heterogeneous Information Networks. CoRR abs/1610.09769 (2016) - [i12]Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han:
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. CoRR abs/1610.09778 (2016) - 2015
- [b7]Chi Wang, Jiawei Han:
Mining Latent Entity Structures. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2015, ISBN 978-3-031-00779-8 - [j174]Ming Ji, Qi He
, Jiawei Han, W. Scott Spangler:
Mining strong relevance between heterogeneous entities from unstructured biomedical data. Data Min. Knowl. Discov. 29(4): 976-998 (2015) - [j173]Saurabh Sinha, Jun Song
, Richard M. Weinshilboum, C. Victor Jongeneel
, Jiawei Han:
KnowEnG: a knowledge engine for genomics. J. Am. Medical Informatics Assoc. 22(6): 1115-1119 (2015) - [j172]Chi Wang, Jialu Liu, Nihit Desai, Marina Danilevsky, Jiawei Han:
Constructing topical hierarchies in heterogeneous information networks. Knowl. Inf. Syst. 44(3): 529-558 (2015) - [j171]Jing Gao, Qi Li, Bo Zhao, Wei Fan, Jiawei Han:
Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective. Proc. VLDB Endow. 8(12): 2048-2049 (2015) - [j170]Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
A Survey on Truth Discovery. SIGKDD Explor. 17(2): 1-16 (2015) - [j169]Jun Li, Qiming Qin, Jiawei Han, Lu-An Tang, Kin Hou Lei:
Mining Trajectory Data and Geotagged Data in Social Media for Road Map Inference. Trans. GIS 19(1): 1-18 (2015) - [j168]