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Jingbo Shang
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- affiliation: University of California, San Diego, Department of Computer Science and Engineering, CA, USA
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2020 – today
- 2024
- [c111]Letian Peng, Yuwei Zhang, Jingbo Shang:
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation. ACL (Findings) 2024: 1-16 - [c110]Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang:
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. ACL (1) 2024: 459-477 - [c109]Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner, Jingbo Shang:
Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving. ACL (1) 2024: 776-790 - [c108]Li Zhong, Zilong Wang, Jingbo Shang:
Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step by Step. ACL (Findings) 2024: 851-870 - [c107]Yongqi Tong, Dawei Li, Sizhe Wang, Yujia Wang, Fei Teng, Jingbo Shang:
Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning. ACL (1) 2024: 3065-3080 - [c106]Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang:
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. ACL (Findings) 2024: 4348-4362 - [c105]Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang:
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph. ACL (1) 2024: 5218-5234 - [c104]Tao Zhang, Chenwei Zhang, Xian Li, Jingbo Shang, Hoang Nguyen, Philip S. Yu:
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products. ACL (Findings) 2024: 8631-8643 - [c103]Dheeraj Mekala, Alex Nguyen, Jingbo Shang:
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models. ACL (Findings) 2024: 10456-10470 - [c102]Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang:
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation. LREC/COLING 2024: 16514-16526 - [c101]Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister:
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. ICLR 2024 - [c100]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Fast-ELECTRA for Efficient Pre-training. ICLR 2024 - [c99]Chengyu Dong, Liyuan Liu, Jingbo Shang:
Toward Student-oriented Teacher Network Training for Knowledge Distillation. ICLR 2024 - [c98]Jiayun Zhang
, Shuheng Li
, Haiyu Huang
, Zihan Wang
, Xiaohan Fu
, Dezhi Hong
, Rajesh K. Gupta
, Jingbo Shang
:
How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments. WWW 2024: 2976-2985 - [i108]Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister:
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. CoRR abs/2401.04398 (2024) - [i107]Niraj Yagnik, Jay Jhaveri, Vivek Sharma, Gabriel Pila, Asma Ben, Jingbo Shang:
MedLM: Exploring Language Models for Medical Question Answering Systems. CoRR abs/2401.11389 (2024) - [i106]Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh K. Gupta, Jingbo Shang:
Large Language Models for Time Series: A Survey. CoRR abs/2402.01801 (2024) - [i105]Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang:
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. CoRR abs/2402.02658 (2024) - [i104]Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao:
Learning a Decision Tree Algorithm with Transformers. CoRR abs/2402.03774 (2024) - [i103]Yu Wang, Xiusi Chen, Jingbo Shang, Julian J. McAuley:
MEMORYLLM: Towards Self-Updatable Large Language Models. CoRR abs/2402.04624 (2024) - [i102]Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang:
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. CoRR abs/2402.09642 (2024) - [i101]Dheeraj Mekala, Alex Nguyen, Jingbo Shang:
Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models. CoRR abs/2402.10430 (2024) - [i100]Dheeraj Mekala, Jason Weston, Jack Lanchantin, Roberta Raileanu, Maria Lomeli, Jingbo Shang, Jane Dwivedi-Yu:
TOOLVERIFIER: Generalization to New Tools via Self-Verification. CoRR abs/2402.14158 (2024) - [i99]Lily Zhong, Zilong Wang, Jingbo Shang:
LDB: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step. CoRR abs/2402.16906 (2024) - [i98]Yongqi Tong, Dawei Li, Sizhe Wang, Yujia Wang, Fei Teng, Jingbo Shang:
Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning. CoRR abs/2403.20046 (2024) - [i97]Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala:
DOCMASTER: A Unified Platform for Annotation, Training, & Inference in Document Question-Answering. CoRR abs/2404.00439 (2024) - [i96]Letian Peng, Zilong Wang, Feng Yao, Zihan Wang, Jingbo Shang:
MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks. CoRR abs/2404.00457 (2024) - [i95]Dawei Li, William Hogan, Jingbo Shang:
READ: Improving Relation Extraction from an ADversarial Perspective. CoRR abs/2404.02931 (2024) - [i94]Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner, Jingbo Shang:
Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving. CoRR abs/2404.07382 (2024) - [i93]Letian Peng, Jingbo Shang:
Incubating Text Classifiers Following User Instruction with Nothing but LLM. CoRR abs/2404.10877 (2024) - [i92]Xiaochen Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang:
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph. CoRR abs/2404.14372 (2024) - [i91]Yongqi Tong, Sizhe Wang, Dawei Li, Yifan Wang, Simeng Han, Zi Lin, Chengsong Huang, Jiaxin Huang, Jingbo Shang:
Optimizing Language Model's Reasoning Abilities with Weak Supervision. CoRR abs/2405.04086 (2024) - [i90]Letian Peng, Jingbo Shang:
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing. CoRR abs/2405.07726 (2024) - [i89]William Hogan, Jingbo Shang:
Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction. CoRR abs/2406.00226 (2024) - [i88]Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang:
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. CoRR abs/2406.04460 (2024) - [i87]Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang:
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification. CoRR abs/2406.11115 (2024) - [i86]Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang:
Data Contamination Can Cross Language Barriers. CoRR abs/2406.13236 (2024) - [i85]Jingbo Shang, Zai Zheng, Xiang Ying, Felix Tao, Mindverse Team:
AI-native Memory: A Pathway from LLMs Towards AGI. CoRR abs/2406.18312 (2024) - [i84]Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang:
Open-world Multi-label Text Classification with Extremely Weak Supervision. CoRR abs/2407.05609 (2024) - [i83]Alex Nguyen, Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
When is the consistent prediction likely to be a correct prediction? CoRR abs/2407.05778 (2024) - [i82]Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister:
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. CoRR abs/2407.08223 (2024) - [i81]Zilong Wang, Yuedong Cui, Li Zhong, Zimin Zhang, Da Yin, Bill Yuchen Lin, Jingbo Shang:
OfficeBench: Benchmarking Language Agents across Multiple Applications for Office Automation. CoRR abs/2407.19056 (2024) - [i80]Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley:
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. CoRR abs/2407.20454 (2024) - 2023
- [c97]Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
PrimeNet: Pre-training for Irregular Multivariate Time Series. AAAI 2023: 7184-7192 - [c96]Hejie Cui
, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li:
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. ACL (Findings) 2023: 2026-2041 - [c95]Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang:
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches. ACL (Findings) 2023: 3944-3962 - [c94]Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang:
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. ACL (Findings) 2023: 10105-10118 - [c93]Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang, Jinho D. Choi:
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach. ACL (1) 2023: 12223-12239 - [c92]Tianle Wang
, Zihan Wang
, Weitang Liu
, Jingbo Shang
:
WOT-Class: Weakly Supervised Open-world Text Classification. CIKM 2023: 2666-2675 - [c91]Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Unleashing the Power of Shared Label Structures for Human Activity Recognition. CIKM 2023: 3340-3350 - [c90]Chengyu Dong, Zihan Wang, Jingbo Shang:
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. EMNLP 2023: 483-493 - [c89]Zilong Wang, Jingbo Shang:
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path. EMNLP (Findings) 2023: 4254-4265 - [c88]Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang:
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. EMNLP (Findings) 2023: 4694-4702 - [c87]Zi Lin, Quan Yuan, Panupong Pasupat, Jeremiah Z. Liu, Jingbo Shang:
Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty. EMNLP (Findings) 2023: 6330-6345 - [c86]Zihan Wang, Jingbo Shang, Ruiqi Zhong:
Goal-Driven Explainable Clustering via Language Descriptions. EMNLP 2023: 10626-10649 - [c85]Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang:
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. EMNLP (Findings) 2023: 10721-10734 - [c84]Letian Peng, Zihan Wang, Jingbo Shang:
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision. EMNLP (Findings) 2023: 13603-13616 - [c83]Yuwei Zhang, Zihan Wang, Jingbo Shang:
ClusterLLM: Large Language Models as a Guide for Text Clustering. EMNLP 2023: 13903-13920 - [c82]William Hogan, Jiacheng Li, Jingbo Shang:
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting. EMNLP 2023: 14227-14242 - [c81]Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
Towards Diverse and Coherent Augmentation for Time-Series Forecasting. ICASSP 2023: 1-5 - [c80]An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. ICCV 2023: 3067-3077 - [c79]Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang:
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing. ICLR 2023 - [c78]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. ICML 2023: 8244-8259 - [c77]Weitang Liu, Yi-Zhuang You, Ying-Wai Li, Jingbo Shang:
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space. ICML 2023: 22338-22351 - [c76]Jiayun Zhang
, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Minimally Supervised Contextual Inference from Human Mobility: An Iterative Collaborative Distillation Framework. IJCAI 2023: 2450-2458 - [c75]Jiacheng Li
, Zhankui He
, Jingbo Shang
, Julian J. McAuley
:
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. KDD 2023: 1248-1257 - [c74]Jiacheng Li
, Ming Wang
, Jin Li
, Jinmiao Fu
, Xin Shen
, Jingbo Shang
, Julian J. McAuley
:
Text Is All You Need: Learning Language Representations for Sequential Recommendation. KDD 2023: 1258-1267 - [c73]Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang
, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework. KDD 2023: 3297-3308 - [c72]Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han, Dezhi Hong, Rashmi Kulkarni, Jingbo Shang, Rajesh K. Gupta:
Physics-Informed Data Denoising for Real-Life Sensing Systems. SenSys 2023: 83-96 - [c71]Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang:
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability. UniReps 2023: 27-46 - [i79]Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Federated Learning with Client-Exclusive Classes. CoRR abs/2301.00489 (2023) - [i78]Xiyuan Zhang, Ranak Roy Chowdhury, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Modeling Label Semantics Improves Activity Recognition. CoRR abs/2301.03462 (2023) - [i77]Zi Lin, Jeremiah Z. Liu, Jingbo Shang:
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. CoRR abs/2301.11459 (2023) - [i76]Weitang Liu, Ying-Wai Li, Yi-Zhuang You, Jingbo Shang:
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space. CoRR abs/2302.09484 (2023) - [i75]Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh Gupta, Dezhi Hong:
Towards Diverse and Coherent Augmentation for Time-Series Forecasting. CoRR abs/2303.14254 (2023) - [i74]Tianle Wang
, Zihan Wang, Weitang Liu, Jingbo Shang:
WOT-Class: Weakly Supervised Open-world Text Classification. CoRR abs/2305.12401 (2023) - [i73]Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang:
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches. CoRR abs/2305.12749 (2023) - [i72]William Hogan, Jiacheng Li, Jingbo Shang:
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting. CoRR abs/2305.13533 (2023) - [i71]Jiacheng Li, Ming Wang, Jin Li, Jinmiao Fu, Xin Shen
, Jingbo Shang, Julian J. McAuley:
Text Is All You Need: Learning Language Representations for Sequential Recommendation. CoRR abs/2305.13731 (2023) - [i70]Zihan Wang, Jingbo Shang, Ruiqi Zhong:
Goal-Driven Explainable Clustering via Language Descriptions. CoRR abs/2305.13749 (2023) - [i69]Zilong Wang, Jingbo Shang:
Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path. CoRR abs/2305.13805 (2023) - [i68]Dheeraj Mekala, Adithya Samavedhi, Chengyu Dong, Jingbo Shang:
SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. CoRR abs/2305.14696 (2023) - [i67]Chengyu Dong, Zihan Wang, Jingbo Shang:
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. CoRR abs/2305.14794 (2023) - [i66]Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang:
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation. CoRR abs/2305.14828 (2023) - [i65]Yuwei Zhang, Zihan Wang, Jingbo Shang:
ClusterLLM: Large Language Models as a Guide for Text Clustering. CoRR abs/2305.14871 (2023) - [i64]Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang, Jinho D. Choi:
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach. CoRR abs/2305.18350 (2023) - [i63]Hejie Cui, Rongmei Lin, Nasser Zalmout, Chenwei Zhang, Jingbo Shang, Carl Yang, Xian Li:
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction. CoRR abs/2306.01016 (2023) - [i62]Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang:
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. CoRR abs/2307.01933 (2023) - [i61]Letian Peng, Yuwei Zhang, Jingbo Shang:
Generating Efficient Training Data via LLM-based Attribute Manipulation. CoRR abs/2307.07099 (2023) - [i60]An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. CoRR abs/2308.03685 (2023) - [i59]An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley:
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. CoRR abs/2310.03182 (2023) - [i58]Liangchen Luo, Zi Lin, Yinxiao Liu, Lei Shu, Yun Zhu, Jingbo Shang, Lei Meng:
Critique Ability of Large Language Models. CoRR abs/2310.04815 (2023) - [i57]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Fast-ELECTRA for Efficient Pre-training. CoRR abs/2310.07347 (2023) - [i56]Yongqi Tong, Yifan Wang, Dawei Li, Sizhe Wang, Zi Lin, Simeng Han, Jingbo Shang:
Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking. CoRR abs/2310.12342 (2023) - [i55]Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang:
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. CoRR abs/2310.17389 (2023) - [i54]Letian Peng, Zilong Wang, Hang Liu, Zihan Wang, Jingbo Shang:
EmojiLM: Modeling the New Emoji Language. CoRR abs/2311.01751 (2023) - [i53]Letian Peng, Zihan Wang, Jingbo Shang:
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision. CoRR abs/2311.02861 (2023) - [i52]Dawei Li, Yaxuan Li, Dheeraj Mekala, Shuyao Li, Yulin Wang, Xueqi Wang, William Hogan, Jingbo Shang:
DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase. CoRR abs/2311.03319 (2023) - [i51]Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han, Dezhi Hong, Rashmi Kulkarni, Jingbo Shang, Rajesh Gupta:
Physics-Informed Data Denoising for Real-Life Sensing Systems. CoRR abs/2311.06968 (2023) - [i50]Weitang Liu, Ying-Wai Li, Tianle Wang, Yi-Zhuang You, Jingbo Shang:
OMNIINPUT: A Model-centric Evaluation Framework through Output Distribution. CoRR abs/2312.03291 (2023) - 2022
- [c70]Xianjie Shen, Yinghan Wang
, Rui Meng, Jingbo Shang:
Unsupervised Deep Keyphrase Generation. AAAI 2022: 11303-11311 - [c69]Xiaochen Gao, Zhaoyi Hou, Yifei Ning, Kewen Zhao, Beilei He, Jingbo Shang, Vish Krishnan:
Towards Comprehensive Patent Approval Predictions: Beyond Traditional Document Classification. ACL (1) 2022: 349-372 - [c68]Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang:
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. ACL (Findings) 2022: 916-925 - [c67]Zi Lin, Jeremiah Zhe Liu, Jingbo Shang:
Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty. ACL (Findings) 2022: 4160-4173 - [c66]Zilong Wang, Jingbo Shang:
Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework. ACL (Findings) 2022: 4174-4186 - [c65]Jiacheng Li, Jingbo Shang, Julian J. McAuley:
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. ACL (1) 2022: 6159-6169 - [c64]Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang, Jiawei Han:
Phrase-aware Unsupervised Constituency Parsing. ACL (1) 2022: 6406-6415 - [c63]Utkrisht Rajkumar, Sara Javadzadeh, Mihir Bafna, Dongxia Wu, Rose Yu, Jingbo Shang, Vineet Bafna:
DeepViFi: detecting oncoviral infections in cancer genomes using transformers. BCB 2022: 2:1-2:8 - [c62]William Hogan, Jiacheng Li, Jingbo Shang:
Fine-grained Contrastive Learning for Relation Extraction. EMNLP 2022: 1083-1095 - [c61]Sudhanshu Ranjan, Dheeraj Mekala, Jingbo Shang:
Progressive Sentiment Analysis for Code-Switched Text Data. EMNLP (Findings) 2022: 1155-1167 - [c60]Zihan Wang, Kewen Zhao, Zilong Wang, Jingbo Shang:
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition. EMNLP (Findings) 2022: 3186-3199 - [c59]Zilong Wang, Jiuxiang Gu, Chris Tensmeyer, Nikolaos Barmpalios, Ani Nenkova, Tong Sun, Jingbo Shang, Vlad I. Morariu:
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding. EMNLP 2022: 3984-3993 - [c58]Zi Lin, Jeremiah Z. Liu, Jingbo Shang:
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. EMNLP 2022: 4759-4776 - [c57]Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. EMNLP (Findings) 2022: 4894-4908 - [c56]Dheeraj Mekala, Tu Vu, Timo Schick, Jingbo Shang:
Leveraging QA Datasets to Improve Generative Data Augmentation. EMNLP 2022: 9737-9750 - [c55]Lesheng Jin, Zihan Wang, Jingbo Shang:
WeDef: Weakly Supervised Backdoor Defense for Text Classification. EMNLP 2022: 11614-11626 - [c54]Ranak Roy Chowdhury, Xiyuan Zhang, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
TARNet: Task-Aware Reconstruction for Time-Series Transformer. KDD 2022: 212-220 - [c53]Chengyu Dong, Liyuan Liu, Jingbo Shang:
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting. NeurIPS 2022 - [c52]Shuheng Li, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
SQEE: A Machine Perception Approach to Sensing Quality Evaluation at the Edge by Uncertainty Quantification. SenSys 2022: 277-290 - [c51]Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
ESC-GAN: Extending Spatial Coverage of Physical Sensors. WSDM 2022: 1347-1356 - [c50]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 - [i49]Jiacheng Li, Jingbo Shang, Julian J. McAuley:
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining. CoRR abs/2202.13469 (2022) - [i48]Zilong Wang, Jingbo Shang:
Towards Few-shot Entity Recognition in Document Images: A Label-aware Sequence-to-Sequence Framework. CoRR abs/2204.05819 (2022) - [i47]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) - [i46]Zihan Wang, Kewen Zhao, Zilong Wang, Jingbo Shang:
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition. CoRR abs/2205.11799 (2022) - [i45]Lesheng Jin, Zihan Wang, Jingbo Shang:
WeDef: Weakly Supervised Backdoor Defense for Text Classification. CoRR abs/2205.11803 (2022) - [i44]William Hogan, Jiacheng Li, Jingbo Shang:
Fine-grained Contrastive Learning for Relation Extraction. CoRR abs/2205.12491 (2022) - [i43]Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification. CoRR abs/2205.12528 (2022) - [i42]Dheeraj Mekala, Tu Vu, Jingbo Shang:
Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation. CoRR abs/2205.12604 (2022) - [i41]Chengyu Dong, Liyuan Liu, Jingbo Shang:
SoTeacher: A Student-oriented Teacher Network Training Framework for Knowledge Distillation. CoRR abs/2206.06661 (2022) - [i40]Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley:
UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation. CoRR abs/2209.13885 (2022) - [i39]Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang:
Waveformer: Linear-Time Attention with Forward and Backward Wavelet Transform. CoRR abs/2210.01989 (2022) - [i38]Sudhanshu Ranjan, Dheeraj Mekala, Jingbo Shang:
Progressive Sentiment Analysis for Code-Switched Text Data. CoRR abs/2210.14380 (2022) - [i37]Zilong Wang, Jiuxiang Gu, Chris Tensmeyer, Nikolaos Barmpalios, Ani Nenkova, Tong Sun, Jingbo Shang, Vlad I. Morariu:
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding. CoRR abs/2211.14958 (2022) - 2021
- [c49]Jiaman Wu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Sensei: Self-Supervised Sensor Name Segmentation. ACL/IJCNLP (Findings) 2021: 1017-1027 - [c48]Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng:
Weakly Supervised Named Entity Tagging with Learnable Logical Rules. ACL/IJCNLP (1) 2021: 4568-4581 - [c47]Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
BFClass: A Backdoor-free Text Classification Framework. EMNLP (Findings) 2021: 444-453 - [c46]Dheeraj Mekala, Varun Gangal, Jingbo Shang:
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data. EMNLP (1) 2021: 583-594 - [c45]Zilong Wang, Yiheng Xu
, Lei Cui, Jingbo Shang, Furu Wei:
LayoutReader: Pre-training of Text and Layout for Reading Order Detection. EMNLP (1) 2021: 4735-4744 - [c44]Zihan Wang, Chengyu Dong, Jingbo Shang:
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. EMNLP (1) 2021: 5594-5603 - [c43]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 - [c42]Zihan Wang, Dheeraj Mekala, Jingbo Shang:
X-Class: Text Classification with Extremely Weak Supervision. NAACL-HLT 2021: 3043-3053 - [c41]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 - [c40]Peiran Li, Fang Guo, Jingbo Shang:
"Misc"-Aware Weakly Supervised Aspect Classification. SDM 2021: 468-476 - [c39]Shuheng Li, Ranak Roy Chowdhury, Jingbo Shang, Rajesh K. Gupta, Dezhi Hong:
UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification. SenSys 2021: 234-247 - [c38]Zhiqi Huang, Razieh Rahimi, Puxuan Yu, Jingbo Shang, James Allan:
AutoName: A Corpus-Based Set Naming Framework. SIGIR 2021: 2101-2105 - [c37]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 - [i36]Jiaman Wu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Sensei: Self-Supervised Sensor Name Segmentation. CoRR abs/2101.00130 (2021) - [i35]Chengyu Dong, Liyuan Liu, Jingbo Shang:
Data Profiling for Adversarial Training: On the Ruin of Problematic Data. CoRR abs/2102.07437 (2021) - [i34]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) - [i33]Zihan Wang, Chengyu Dong, Jingbo Shang:
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. CoRR abs/2104.08673 (2021) - [i32]Xiuwen Zheng, Dheeraj Mekala, Amarnath Gupta, Jingbo Shang:
News Meets Microblog: Hashtag Annotation via Retriever-Generator. CoRR abs/2104.08723 (2021) - [i31]Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang:
Unsupervised Deep Keyphrase Generation. CoRR abs/2104.08729 (2021) - [i30]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) - [i29]Jiacheng Li, Haibo Ding, Jingbo Shang, Julian J. McAuley, Zhe Feng:
Weakly Supervised Named Entity Tagging with Learnable Logical Rules. CoRR abs/2107.02282 (2021) - [i28]Zilong Wang, Yiheng Xu, Lei Cui, Jingbo Shang, Furu Wei:
LayoutReader: Pre-training of Text and Layout for Reading Order Detection. CoRR abs/2108.11591 (2021) - [i27]Zichao Li, Dheeraj Mekala, Chengyu Dong, Jingbo Shang:
BFClass: A Backdoor-free Text Classification Framework. CoRR abs/2109.10855 (2021) - [i26]Dheeraj Mekala, Varun Gangal, Jingbo Shang:
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data. CoRR abs/2109.10856 (2021) - [i25]Chengyu Dong, Liyuan Liu, Jingbo Shang:
Double Descent in Adversarial Training: An Implicit Label Noise Perspective. CoRR abs/2110.03135 (2021) - 2020
- [c36]Dheeraj Mekala, Jingbo Shang:
Contextualized Weak Supervision for Text Classification. ACL 2020: 323-333 - [c35]Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han:
Empower Entity Set Expansion via Language Model Probing. ACL 2020: 8151-8160 - [c34]Yang Jiao, Jiacheng Li, Jiaman Wu, Dezhi Hong, Rajesh Gupta, Jingbo Shang:
SeNsER: Learning Cross-Building Sensor Metadata Tagger. EMNLP (Findings) 2020: 950-960 - [c33]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 - [c32]Dheeraj Mekala, Xinyang Zhang, Jingbo Shang:
META: Metadata-Empowered Weak Supervision for Text Classification. EMNLP (1) 2020: 8351-8361 - [c31]Chengyu Dong, Liyuan Liu, Zichao Li, Jingbo Shang:
Towards Adaptive Residual Network Training: A Neural-ODE Perspective. ICML 2020: 2616-2626 - [c30]Meng Jiang, Jingbo Shang:
Scientific Text Mining and Knowledge Graphs. KDD 2020: 3537-3538 - [c29]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 - [c28]Jingbo Shang, Xinyang Zhang, Liyuan Liu, Sha Li, Jiawei Han:
NetTaxo: Automated Topic Taxonomy Construction from Text-Rich Network. WWW 2020: 1908-1919 - [i24]Yunyi Zhang, Jiaming Shen, Jingbo Shang, Jiawei Han:
Empower Entity Set Expansion via Language Model Probing. CoRR abs/2004.13897 (2020) - [i23]Peiran Li, Fang Guo, Jingbo Shang:
User-Guided Aspect Classification for Domain-Specific Texts. CoRR abs/2004.14555 (2020) - [i22]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) - [i21]Zichao Li, Liyuan Liu, Chengyu Dong, Jingbo Shang:
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training. CoRR abs/2010.08034 (2020) - [i20]Zihan Wang, Dheeraj Mekala, Jingbo Shang:
X-Class: Text Classification with Extremely Weak Supervision. CoRR abs/2010.12794 (2020)
2010 – 2019
- 2019
- [b2]Jingbo Shang:
Constructing and mining structured heterogeneous information networks from massive text corpora. University of Illinois Urbana-Champaign, USA, 2019 - [j5]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) - [j4]Yu Meng, Jiaxin Huang, Jingbo Shang, Jiawei Han:
TextCube: Automated Construction and Multidimensional Exploration. Proc. VLDB Endow. 12(12): 1974-1977 (2019) - [c27]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 - [c26]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 - [c25]Jingbo Shang, Jiaming Shen, Liyuan Liu, Jiawei Han:
Constructing and Mining Heterogeneous Information Networks from Massive Text. KDD 2019: 3191-3192 - [c24]Liyuan Liu, Jingbo Shang, Jiawei Han:
Arabic Named Entity Recognition: What Works and What's Next. WANLP@ACL 2019 2019: 60-67 - [c23]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 - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - 2018
- [j3]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) - [j2]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) - [c22]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 - [c21]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 - [c20]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 - [c19]Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han:
Learning Named Entity Tagger using Domain-Specific Dictionary. EMNLP 2018: 2054-2064 - [c18]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 - [c17]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 - [i14]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) - [i13]Jingbo Shang, Xiyao Shi, Meng Jiang, Liyuan Liu, Timothy P. Hanratty, Jiawei Han:
Contrast Subgraph Mining from Coherent Cores. CoRR abs/1802.06189 (2018) - [i12]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) - [i11]Liyuan Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han:
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. CoRR abs/1804.07827 (2018) - [i10]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) - [i9]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) - [i8]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) - 2017
- [b1]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 - [j1]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) - [c16]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 - [c15]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 - [c14]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 - [c13]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 - [c12]Xiang Ren, Meng Jiang
, Jingbo Shang, Jiawei Han:
Building Structured Databases of Factual Knowledge from Massive Text Corpora. SIGMOD Conference 2017: 1741-1745 - [c11]Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han:
Constructing Structured Information Networks from Massive Text Corpora. WWW (Companion Volume) 2017: 951-954 - [i7]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) - [i6]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) - [i5]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) - [i4]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) - 2016
- [c10]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 - [c9]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 - [c8]Jingbo Shang, Jian Peng, Jiawei Han:
MACFP: Maximal Approximate Consecutive Frequent Pattern Mining under Edit Distance. SDM 2016: 558-566 - [c7]Jingbo Shang, Wenzhu Tong, Jian Peng, Jiawei Han:
DPClass: An Effective but Concise Discriminative Patterns-Based Classification Framework. SDM 2016: 567-575 - [c6]Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R. Voss, Jiawei Han:
Representing Documents via Latent Keyphrase Inference. WWW 2016: 1057-1067 - [i3]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) - [i2]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
- [c5]Liang Hong, Yu Zheng, Duncan Yung, Jingbo Shang, Lei Zou:
Detecting urban black holes based on human mobility data. SIGSPATIAL/GIS 2015: 35:1-35:10 - [c4]Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, Jiawei Han:
Mining Quality Phrases from Massive Text Corpora. SIGMOD Conference 2015: 1729-1744 - 2014
- [c3]Diyi Yang, Jingbo Shang, Carolyn Penstein Rosé
:
Constrained Question Recommendation in MOOCs via Submodularity. CIKM 2014: 1987-1990 - [c2]Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu:
A Parallel and Efficient Algorithm for Learning to Match. ICDM 2014: 971-976 - [c1]Jingbo Shang, Yu Zheng, Wenzhu Tong, Eric Chang, Yong Yu:
Inferring gas consumption and pollution emission of vehicles throughout a city. KDD 2014: 1027-1036 - [i1]Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu:
A Parallel and Efficient Algorithm for Learning to Match. CoRR abs/1410.6414 (2014)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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