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ORCIDYizhou Sun
孙怡舟
Person information
- unicode name: 孙怡舟
- affiliation: University of California, Los Angeles, CA, USA
- affiliation (former): Northeastern University, Boston, USA
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2020 – today
- 2024
[j33]Fang Fang, Yizhou Sun:
Prediction of systemic lupus erythematosus-related genes based on graph attention network and deep neural network. Comput. Biol. Medicine 175: 108371 (2024)- [j32]Yizhou Sun, Jiao Liu, Fang Fang, Yaoguo Huang
:
Deciphering the abundance of immune cells in glomerular endothelium of Alport syndrome kidneys using the deconvolution algorithm CONVdeconv. Future Gener. Comput. Syst. 161: 496-501 (2024) - [c169]Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun:
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. ACL (Findings) 2024: 2707-2720 - [c168]Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang:
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. ICLR 2024 - [c167]Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun:
PGODE: Towards High-quality System Dynamics Modeling. ICML 2024 - [c166]Haoyu Li, Shichang Zhang, Longwen Tang, Mathieu Bauchy, Yizhou Sun:
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks. ICML 2024 - [c165]Arjun Subramonian, Levent Sagun, Yizhou Sun:
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction. ICML 2024 - [c164]Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang:
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. ICML 2024 - [c163]Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun:
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract). IJCAI 2024: 8421-8426 - [c162]Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong:
Learning to Compare Hardware Designs for High-Level Synthesis. MLCAD 2024: 2:1-2:7 - [c161]Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong:
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis. MLCAD 2024: 14:1-14:12 - [c160]Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz:
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. NAACL-HLT 2024: 5784-5809 - [c159]Yewen Wang, Shichang Zhang, John (Junghoo) Cho, Yizhou Sun:
Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks. SDM 2024: 19-27 - [c158]Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun:
Fast Inference of Removal-Based Node Influence. WWW 2024: 422-433 - [c157]Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang:
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. WWW 2024: 4607-4617 - [i122]Haoyu Li, Shichang Zhang, Longwen Tang, Mathieu Bauchy, Yizhou Sun:
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks. CoRR abs/2401.08627 (2024) - [i121]Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun:
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text. CoRR abs/2402.13415 (2024) - [i120]Hengchuang Yin, Zhonghui Gu, Fanhao Wang, Yiparemu Abuduhaibaier, Yanqiao Zhu, Xinming Tu, Xian-Sheng Hua, Xiao Luo, Yizhou Sun:
An Evaluation of Large Language Models in Bioinformatics Research. CoRR abs/2402.13714 (2024) - [i119]Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang:
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. CoRR abs/2403.00178 (2024) - [i118]Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun:
Fast Inference of Removal-Based Node Influence. CoRR abs/2403.08333 (2024) - [i117]Arjun Subramonian, Jian Kang, Yizhou Sun:
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks. CoRR abs/2404.03139 (2024) - [i116]Roshni G. Iyer, Wei Wang, Yizhou Sun:
Hierarchical Attention Models for Multi-Relational Graphs. CoRR abs/2404.09365 (2024) - [i115]Qi Zhu, Da Zheng, Xiang Song, Shichang Zhang, Bowen Jin, Yizhou Sun, George Karypis:
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. CoRR abs/2404.18271 (2024) - [i114]Kaiqiao Han, Yi Yang, Zijie Huang, Xuan Kan, Yang Yang, Ying Guo, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang:
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. CoRR abs/2405.00077 (2024) - [i113]Zifan He, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong:
HMT: Hierarchical Memory Transformer for Long Context Language Processing. CoRR abs/2405.06067 (2024) - [i112]Derek Xu, Olcay Cirit, Reza Asadi, Yizhou Sun, Wei Wang:
Mixture of In-Context Prompters for Tabular PFNs. CoRR abs/2405.16156 (2024) - [i111]Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover:
VideoPhy: Evaluating Physical Commonsense for Video Generation. CoRR abs/2406.03520 (2024) - [i110]Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong:
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis. CoRR abs/2406.09606 (2024) - [i109]Shichang Zhang, Botao Xia, Zimin Zhang, Qianli Wu, Fang Sun, Ziniu Hu, Yizhou Sun:
Automated Molecular Concept Generation and Labeling with Large Language Models. CoRR abs/2406.09612 (2024) - [i108]Haike Xu, Zongyu Lin, Yizhou Sun, Kai-Wei Chang, Piotr Indyk:
SparseCL: Sparse Contrastive Learning for Contradiction Retrieval. CoRR abs/2406.10746 (2024) - [i107]Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun:
Hierarchical Compression of Text-Rich Graphs via Large Language Models. CoRR abs/2406.11884 (2024) - [i106]Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun:
Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference. CoRR abs/2407.09722 (2024) - [i105]Zongyue Qin, Chen Luo, Zhengyang Wang, Haoming Jiang, Yizhou Sun:
Relational Database Augmented Large Language Model. CoRR abs/2407.15071 (2024) - [i104]Kewei Cheng, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun:
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs. CoRR abs/2408.00114 (2024) - [i103]Marco Maurizi, Derek Xu, Yu-Tong Wang, Desheng Yao, David Hahn, Mourad Oudich, Anish Satpati, Mathieu Bauchy, Wei Wang, Yizhou Sun, Yun Jing, Xiaoyu Rayne Zheng:
Inverse designing metamaterials with programmable nonlinear functional responses in graph space. CoRR abs/2408.06300 (2024) - [i102]Haixin Wang, Yadi Cao, Zijie Huang, Yuxuan Liu, Peiyan Hu, Xiao Luo, Zezheng Song, Wanjia Zhao, Jilin Liu, Jinan Sun, Shikun Zhang, Long Wei, Yue Wang, Tailin Wu, Zhi-Ming Ma, Yizhou Sun:
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey. CoRR abs/2408.12171 (2024) - [i101]Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong:
Efficient Task Transfer for HLS DSE. CoRR abs/2408.13270 (2024) - [i100]Zhicheng Ren, Zhiping Xiao, Yizhou Sun:
Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations. CoRR abs/2409.02965 (2024) - [i99]Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong:
Learning to Compare Hardware Designs for High-Level Synthesis. CoRR abs/2409.13138 (2024) - [i98]Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun:
Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference. CoRR abs/2409.16560 (2024) - 2023
- [j31]Zhiping Xiao, Jeffrey Zhu, Yining Wang, Pei Zhou, Wen Hong Lam, Mason A. Porter, Yizhou Sun:
Detecting political biases of named entities and hashtags on Twitter. EPJ Data Sci. 12(1): 20 (2023) - [j30]Tong Wang, Xu-Wen Wang, Kathleen A. Lee-Sarwar, Augusto A. Litonjua, Scott T. Weiss, Yizhou Sun, Sergei Maslov, Yang-Yu Liu:
Predicting metabolomic profiles from microbial composition through neural ordinary differential equations. Nat. Mac. Intell. 5(3): 284-293 (2023) - [j29]Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun:
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification. Trans. Mach. Learn. Res. 2023 (2023) - [j28]Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas:
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 41(3): 51:1-51:5 (2023) - [j27]Hongzhi Yin, Yizhou Sun, Guandong Xu, Evangelos Kanoulas:
Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2. ACM Trans. Inf. Syst. 41(4): 82:1-82:6 (2023) - [c156]Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie:
Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. AAAI 2023: 12968-12976 - [c155]Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. ACL (industry) 2023: 172-185 - [c154]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 - [c153]Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Bing Liu, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Guan-Ting Lin, Alexei Baevski, Hung-yi Lee, Yizhou Sun, Wei Wang:
Introducing Semantics into Speech Encoders. ACL (1) 2023: 11413-11429 - [c152]Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CVPR 2023: 23369-23379 - [c151]Roshni G. Iyer, Thuy Vu, Alessandro Moschitti, Yizhou Sun:
Question-Answer Sentence Graph for Joint Modeling Answer Selection. EACL 2023: 968-979 - [c150]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Robust GNN-Based Representation Learning for HLS. ICCAD 2023: 1-9 - [c149]Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun:
Neural Compositional Rule Learning for Knowledge Graph Reasoning. ICLR 2023 - [c148]Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun:
HOPE: High-order Graph ODE For Modeling Interacting Dynamics. ICML 2023: 23124-23139 - [c147]Ben Gorr, Alan Aguilar Jaramillo, Zida Wu, Wooyeong Cho, Kewei Cheng, Molly K. Stroud, Vinay Ravindra, Cédric H. David, Huilin Gao, Yizhou Sun, Ankur Mehta, George H. Allen, Daniel Selva:
Multi-Instrument Flood Monitoring With a Distributed, Decentralized, Dynamic and Context-Aware Satellite Sensor Web. IGARSS 2023: 4602-4605 - [c146]Alan Aguilar Jaramillo, Ben Gorr, Vinay Ravindra, Cédric H. David, Molly K. Stroud, Ankur Mehta, George H. Allen, Wooyeong Cho, Kewei Cheng, Huilin Gao, Yizhou Sun, Zida Wu, Daniel Selva:
Decentralized Market-Based Observation Assignment Strategy for Dynamic Networks in Sensor Web Mission Concepts. IGARSS 2023: 4748-4751 - [c145]Zijie Huang, Yizhou Sun, Wei Wang:
Generalizing Graph ODE for Learning Complex System Dynamics across Environments. KDD 2023: 798-809 - [c144]Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun:
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. KDD 2023: 997-1009 - [c143]Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun:
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation. NeurIPS 2023 - [c142]Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang:
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. NeurIPS 2023 - [c141]Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong:
Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs. NeurIPS 2023 - [c140]Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi:
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent. NeurIPS 2023 - [c139]Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang:
Code Recommendation for Open Source Software Developers. WWW 2023: 1324-1333 - [c138]Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun:
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. WWW 2023: 2467-2476 - [c137]Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun:
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. WWW 2023: 3784-3793 - [e4]Ambuj K. Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopulos, Xifeng Yan, Ravi Kumar, Fatma Ozcan, Jieping Ye:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023. ACM 2023 [contents] - [i97]Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun:
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. CoRR abs/2302.12465 (2023) - [i96]Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun:
Neural Compositional Rule Learning for Knowledge Graph Reasoning. CoRR abs/2303.03581 (2023) - [i95]Roshni G. Iyer, Wei Wang, Yizhou Sun:
Bi-Level Attention Graph Neural Networks. CoRR abs/2304.11533 (2023) - [i94]Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi:
AVIS: Autonomous Visual Information Seeking with Large Language Models. CoRR abs/2306.08129 (2023) - [i93]Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun:
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. CoRR abs/2306.11216 (2023) - [i92]Shengming Zhang, Yizhou Sun:
Meta-Path-based Probabilistic Soft Logic for Drug-Target Interaction Prediction. CoRR abs/2306.13770 (2023) - [i91]Shichang Zhang, Atefeh Sohrabizadeh, Cheng Wan, Zijie Huang, Ziniu Hu, Yewen Wang, Yingyan Lin, Jason Cong, Yizhou Sun:
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. CoRR abs/2306.14052 (2023) - [i90]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) - [i89]Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu:
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks. CoRR abs/2307.03937 (2023) - [i88]Zijie Huang, Yizhou Sun, Wei Wang:
Generalizing Graph ODE for Learning Complex System Dynamics across Environments. CoRR abs/2307.04287 (2023) - [i87]Arjun Subramonian, Adina Williams, Maximilian Nickel, Yizhou Sun, Levent Sagun:
Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test. CoRR abs/2307.05775 (2023) - [i86]Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang:
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. CoRR abs/2307.09688 (2023) - [i85]Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R. Loomba, Shichang Zhang, Yizhou Sun, Wei Wang:
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. CoRR abs/2307.10635 (2023) - [i84]Derek Xu, Yizhou Sun, Wei Wang:
Unveiling Invariances via Neural Network Pruning. CoRR abs/2309.08171 (2023) - [i83]Arjun Subramonian, Levent Sagun, Yizhou Sun:
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction. CoRR abs/2309.17417 (2023) - [i82]Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor W. Coley, Yizhou Sun, Wei Wang:
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. CoRR abs/2310.00115 (2023) - [i81]Song Jiang, Zahra Shakeri, Aaron Chan, Maziar Sanjabi, Hamed Firooz, Yinglong Xia, Bugra Akyildiz, Yizhou Sun, Jinchao Li, Qifan Wang, Asli Celikyilmaz:
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. CoRR abs/2310.04743 (2023) - [i80]Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang:
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems. CoRR abs/2310.06427 (2023) - [i79]Xiao Luo, Yiyang Gu, Huiyu Jiang, Jinsheng Huang, Wei Ju, Ming Zhang, Yizhou Sun:
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics. CoRR abs/2311.06554 (2023) - 2022
- [j26]Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang:
Multivariate time-series classification with hierarchical variational graph pooling. Neural Networks 154: 481-490 (2022) - [j25]Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
PGE: Robust Product Graph Embedding Learning for Error Detection. Proc. VLDB Endow. 15(6): 1288-1296 (2022) - [j24]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) - [j23]Guojie Song, Chuan Shi, Yizhou Sun, Zhiyuan Liu:
Guest Editorial: Special Issue on Social Media Computing. IEEE Trans. Big Data 8(4): 953-954 (2022) - [j22]Yue Hu, Xu Li, Xuan Dong, Dong Kong, Qimin Xu, Yizhou Sun:
A Reliable Cooperative Fusion Positioning Methodology for Intelligent Vehicle in Non-Line-of-Sight Environments. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j21]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) - [c136]Xuelu Chen, Ziniu Hu, Yizhou Sun:
Fuzzy Logic Based Logical Query Answering on Knowledge Graphs. AAAI 2022: 3939-3948 - [c135]Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun:
Unsupervised Adversarially Robust Representation Learning on Graphs. AAAI 2022: 4290-4298 - [c134]Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang:
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs. AAAI 2022: 4299-4307 - [c133]Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie:
Towards Fine-Grained Reasoning for Fake News Detection. AAAI 2022: 5746-5754 - [c132]Michael Potter, Hamlin Liu, Yash Lala, Christian Loanzon, Yizhou Sun:
GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract). AAAI 2022: 13029-13030 - [c131]Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang:
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. ACL (1) 2022: 474-485 - [c130]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. AKBC 2022 - [c129]Song Jiang, Yizhou Sun:
Estimating Causal Effects on Networked Observational Data via Representation Learning. CIKM 2022: 852-861 - [c128]Song Jiang, Tahin Syed, Xuan Zhu, Joshua Levy, Boris Aronchik, Yizhou Sun:
Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting. CIKM 2022: 3202-3211 - [c127]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Automated accelerator optimization aided by graph neural networks. DAC 2022: 55-60 - [c126]Yunsheng Bai, Atefeh Sohrabizadeh, Yizhou Sun, Jason Cong:
Improving GNN-based accelerator design automation with meta learning. DAC 2022: 1347-1350 - [c125]Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun:
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. EMNLP 2022: 9562-9581 - [c124]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Automated Accelerator Optimization Aided by Graph Neural Networks. FPGA 2022: 50 - [c123]Yizhou Sun, Ya Zhang:
Adaptive tracking control of unknown state target for CPSs subjected to cyberattacks. ICARCV 2022: 778-783 - [c122]Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah:
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. ICLR 2022 - [c121]Kewei Cheng, Jiahao Liu, Wei Wang, Yizhou Sun:
RLogic: Recursive Logical Rule Learning from Knowledge Graphs. KDD 2022: 179-189 - [c120]Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun:
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. KDD 2022: 676-686 - [c119]Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi:
Improving Multi-Task Generalization via Regularizing Spurious Correlation. NeurIPS 2022 - [c118]Arjun Subramonian, Kai-Wei Chang, Yizhou Sun:
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs. NeurIPS 2022 - [c117]Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun:
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games. NeurIPS 2022 - [c116]Junheng Hao, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Junghwan Rhee, Zhichuan Li, Wei Wang:
Multi-source Inductive Knowledge Graph Transfer. ECML/PKDD (2) 2022: 155-171 - [i78]Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen, Yizhou Sun, Jianxi Gao:
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics. CoRR abs/2201.04194 (2022) - [i77]Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun:
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games. CoRR abs/2201.12380 (2022) - [i76]Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
PGE: Robust Product Graph Embedding Learning for Error Detection. CoRR abs/2202.09747 (2022) - [i75]Roshni G. Iyer, Thuy Vu, Alessandro Moschitti, Yizhou Sun:
Question-Answer Sentence Graph for Joint Modeling Answer Selection. CoRR abs/2203.03549 (2022) - [i74]Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang:
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. CoRR abs/2203.14987 (2022) - [i73]Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi:
Improving Multi-Task Generalization via Regularizing Spurious Correlation. CoRR abs/2205.09797 (2022) - [i72]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) - [i71]Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang:
Subgraph Matching via Query-Conditioned Subgraph Matching Neural Networks and Bi-Level Tree Search. CoRR abs/2207.10305 (2022) - [i70]Zhiping Xiao, Jeffrey Zhu, Yining Wang, Pei Zhou, Wen Hong Lam, Mason A. Porter, Yizhou Sun:
Detecting Political Biases of Named Entities and Hashtags on Twitter. CoRR abs/2209.08110 (2022) - [i69]Roshni G. Iyer, Yunsheng Bai, Wei Wang, Yizhou Sun:
Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. CoRR abs/2209.08767 (2022) - [i68]Ang Li, Song Jiang, Yizhou Sun, Judea Pearl:
Unit Selection: Learning Benefit Function from Finite Population Data. CoRR abs/2210.08203 (2022) - [i67]Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang:
Code Recommendation for Open Source Software Developers. CoRR abs/2210.08332 (2022) - [i66]Ang Li, Song Jiang, Yizhou Sun, Judea Pearl:
Learning Probabilities of Causation from Finite Population Data. CoRR abs/2210.08453 (2022) - [i65]Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun:
Empowering Language Models with Knowledge Graph Reasoning for Question Answering. CoRR abs/2211.08380 (2022) - [i64]Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Alexei Baevski, Guan-Ting Lin, Hung-yi Lee, Yizhou Sun, Wei Wang:
Introducing Semantics into Speech Encoders. CoRR abs/2211.08402 (2022) - [i63]Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie:
Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes. CoRR abs/2211.13638 (2022) - [i62]Zhicheng Ren, Yifu Yuan, Yuxin Wu, Xiaxuan Gao, Yewen Wang, Yizhou Sun:
Dissimilar Nodes Improve Graph Active Learning. CoRR abs/2212.01968 (2022) - [i61]Danfeng Guo, Zijie Huang, Junheng Hao, Yizhou Sun, Wei Wang, Demetri Terzopoulos:
A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis. CoRR abs/2212.02575 (2022) - [i60]Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi:
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CoRR abs/2212.05221 (2022) - 2021
- [j20]Yang Yang, Yuhong Xu, Yizhou Sun, Yuxiao Dong, Fei Wu, Yueting Zhuang:
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks. IEEE Trans. Knowl. Data Eng. 33(1): 169-179 (2021) - [c115]Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. AAAI 2021: 14647-14655 - [c114]Ziniu Hu, Yizhou Sun, Kai-Wei Chang:
Relation-Guided Pre-Training for Open-Domain Question Answering. EMNLP (Findings) 2021: 3431-3448 - [c113]Kewei Cheng, Ziqing Yang, Ming Zhang, Yizhou Sun:
UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference. EMNLP (1) 2021: 9753-9771 - [c112]Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis:
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks. ICDE 2021: 912-923 - [c111]Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
CREATe: Clinical Report Extraction and Annotation Technology. ICDE 2021: 2677-2680 - [c110]Roshni G. Iyer, Wei Wang, Yizhou Sun:
Bi-Level Attention Graph Neural Networks. ICDM 2021: 1126-1131 - [c109]Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang:
GLSearch: Maximum Common Subgraph Detection via Learning to Search. ICML 2021: 588-598 - [c108]Zijie Huang, Yizhou Sun, Wei Wang:
Coupled Graph ODE for Learning Interacting System Dynamics. KDD 2021: 705-715 - [c107]Junheng Hao, Chuan Lei, Vasilis Efthymiou, Abdul Quamar, Fatma Özcan, Yizhou Sun, Wei Wang:
MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks. KDD 2021: 2946-2954 - [c106]Song Jiang, Bernard Koch, Yizhou Sun:
HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding. WWW 2021: 3158-3167 - [e3]Huajun Chen, Kang Liu, Yizhou Sun, Suge Wang, Lei Hou:
Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence - 5th China Conference, CCKS 2020, Nanchang, China, November 12-15, 2020, Revised Selected Papers. Communications in Computer and Information Science 1356, Springer 2021, ISBN 978-981-16-1963-2 [contents] - [i59]Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
CREATe: Clinical Report Extraction and Annotation Technology. CoRR abs/2103.00562 (2021) - [i58]Junheng Hao, Chelsea Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang:
Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases. CoRR abs/2103.04283 (2021) - [i57]Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang:
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. CoRR abs/2103.08115 (2021) - [i56]Yichao Zhou, Chelsea Ju, J. Harry Caufield, Kevin Shih, Calvin Yu-Chian Chen, Yizhou Sun, Kai-Wei Chang, Peipei Ping, Wei Wang:
Clinical Named Entity Recognition using Contextualized Token Representations. CoRR abs/2106.12608 (2021) - [i55]Xuelu Chen, Ziniu Hu, Yizhou Sun:
Fuzzy Logic based Logical Query Answering on Knowledge Graph. CoRR abs/2108.02390 (2021) - [i54]Ziniu Hu, Yizhou Sun, Kai-Wei Chang:
Relation-Guided Pre-Training for Open-Domain Question Answering. CoRR abs/2109.10346 (2021) - [i53]Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, Jacob Gates Foster:
Deep Learning of Potential Outcomes. CoRR abs/2110.04442 (2021) - [i52]Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah:
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation. CoRR abs/2110.08727 (2021) - [i51]Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie:
Towards Fine-Grained Reasoning for Fake News Detection. CoRR abs/2110.15064 (2021) - [i50]Atefeh Sohrabizadeh, Yunsheng Bai, Yizhou Sun, Jason Cong:
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks. CoRR abs/2111.08848 (2021) - 2020
- [j19]Changjun Fan, Li Zeng, Yizhou Sun, Yang-Yu Liu:
Finding key players in complex networks through deep reinforcement learning. Nat. Mach. Intell. 2(6): 317-324 (2020) - [j18]Heli Sun, Fang He, Jianbin Huang, Yizhou Sun, Yang Li, Chenyu Wang, Liang He, Zhongbin Sun, Xiaolin Jia:
Network Embedding for Community Detection in Attributed Networks. ACM Trans. Knowl. Discov. Data 14(3): 36:1-36:25 (2020) - [c105]Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang:
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching. AAAI 2020: 3219-3226 - [c104]Junheng Hao, Chelsea J.-T. Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang:
Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases. BCB 2020: 42:1-42:10 - [c103]Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun, Wei Wang:
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. CIKM 2020: 2517-2524 - [c102]Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo:
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer. EMNLP (Findings) 2020: 3227-3238 - [c101]Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang:
Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. ICDM 2020: 661-670 - [c100]Ting Chen, Lala Li, Yizhou Sun:
Differentiable Product Quantization for End-to-End Embedding Compression. ICML 2020: 1617-1626 - [c99]Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang:
Heterogeneous Network Representation Learning. IJCAI 2020: 4861-4867 - [c98]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun:
GPT-GNN: Generative Pre-Training of Graph Neural Networks. KDD 2020: 1857-1867 - [c97]Zongyue Qin, Yunsheng Bai, Yizhou Sun:
GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases. KDD 2020: 2062-2072 - [c96]Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun:
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. KDD 2020: 2258-2268 - [c95]Zijie Huang, Yizhou Sun, Wei Wang:
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations. NeurIPS 2020 - [c94]Yizhou Sun:
Graph Neural Networks for Graph Search. GRADES-NDA@SIGMOD 2020: 1:1 - [c93]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun:
Heterogeneous Graph Transformer. WWW 2020: 2704-2710 - [i49]Yunsheng Bai, Derek Xu, Alex Wang, Ken Gu, Xueqing Wu, Agustin Marinovic, Christopher Ro, Yizhou Sun, Wei Wang:
Fast Detection of Maximum Common Subgraph via Deep Q-Learning. CoRR abs/2002.03129 (2020) - [i48]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun:
Heterogeneous Graph Transformer. CoRR abs/2003.01332 (2020) - [i47]Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. CoRR abs/2004.00216 (2020) - [i46]Roshni G. Iyer, Yizhou Sun, Wei Wang, Justin Gottschlich:
Software Language Comprehension using a Program-Derived Semantic Graph. CoRR abs/2004.00768 (2020) - [i45]Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang:
Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning. CoRR abs/2005.07115 (2020) - [i44]Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun:
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. CoRR abs/2006.01321 (2020) - [i43]Yunsheng Bai, Ken Gu, Yizhou Sun, Wei Wang:
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. CoRR abs/2006.14002 (2020) - [i42]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun:
GPT-GNN: Generative Pre-Training of Graph Neural Networks. CoRR abs/2006.15437 (2020) - [i41]Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo:
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer. CoRR abs/2010.03158 (2020) - [i40]Haoyan Xu, Ziheng Duan, Yunsheng Bai, Yida Huang, Anni Ren, Qianru Yu, Qianru Zhang, Yueyang Wang, Xiaoqian Wang, Yizhou Sun, Wei Wang:
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling. CoRR abs/2010.05649 (2020) - [i39]Zijie Huang, Yizhou Sun, Wei Wang:
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations. CoRR abs/2011.03880 (2020) - [i38]Jiarong Xu, Junru Chen, Yang Yang, Yizhou Sun, Chunping Wang, Jiangang Lu:
Unsupervised Adversarially-Robust Representation Learning on Graphs. CoRR abs/2012.02486 (2020) - [i37]Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Yang Yang, Chunping Wang, Jiangang Lu:
Query-free Black-box Adversarial Attacks on Graphs. CoRR abs/2012.06757 (2020) - [i36]Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. CoRR abs/2012.08790 (2020) - [i35]Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis:
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks. CoRR abs/2012.10024 (2020) - [i34]Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun:
Motif-Driven Contrastive Learning of Graph Representations. CoRR abs/2012.12533 (2020)
2010 – 2019
- 2019
- [j17]Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, Yi Yao:
Abstract cost models for distributed data-intensive computations. Distributed Parallel Databases 37(3): 411-439 (2019) - [j16]Yu Zhou, Jianbin Huang, Heli Sun, Yizhou Sun, Shaojie Qiao, Stephen Manko Wambura:
Recurrent Meta-Structure for Robust Similarity Measure in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data 13(6): 64:1-64:33 (2019) - [c92]Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang:
Personalized Question Routing via Heterogeneous Network Embedding. AAAI 2019: 192-199 - [c91]Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo:
Embedding Uncertain Knowledge Graphs. AAAI 2019: 3363-3370 - [c90]Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Few-Shot Representation Learning for Out-Of-Vocabulary Words. ACL (1) 2019: 4102-4112 - [c89]Xiao Yang, Seungbae Kim, Yizhou Sun:
How do influencers mention brands in social media?: sponsorship prediction of Instagram posts. ASONAM 2019: 101-104 - [c88]Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu:
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. CIKM 2019: 559-568 - [c87]Yang Yang, Yuhong Xu, Chunping Wang, Yizhou Sun, Fei Wu, Yueting Zhuang, Ming Gu:
Understanding Default Behavior in Online Lending. CIKM 2019: 2043-2052 - [c86]Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang:
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. IJCAI 2019: 1988-1994 - [c85]Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang:
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. KDD 2019: 1709-1719 - [c84]Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu:
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks. NeurIPS 2019: 11247-11256 - [c83]Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang:
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. WSDM 2019: 384-392 - [e2]Reynold Cheng, Nikos Mamoulis, Yizhou Sun, Xin Huang:
Web Information Systems Engineering - WISE 2019 - 20th International Conference, Hong Kong, China, November 26-30, 2019, Proceedings. Lecture Notes in Computer Science 11881, Springer 2019, ISBN 978-3-030-34222-7 [contents] - [i33]Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang:
Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity. CoRR abs/1904.01098 (2019) - [i32]Rui Feng, Yang Yang, Yuehan Lyu, Chenhao Tan, Yizhou Sun, Chunping Wang:
Learning Fair Representations via an Adversarial Framework. CoRR abs/1904.13341 (2019) - [i31]Ting Chen, Song Bian, Yizhou Sun:
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification. CoRR abs/1905.04579 (2019) - [i30]Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu:
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. CoRR abs/1905.10418 (2019) - [i29]Ziniu Hu, Changjun Fan, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction. CoRR abs/1905.13728 (2019) - [i28]Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun:
Few-Shot Representation Learning for Out-Of-Vocabulary Words. CoRR abs/1907.00505 (2019) - [i27]Ting Chen, Yizhou Sun:
Differentiable Product Quantization for End-to-End Embedding Compression. CoRR abs/1908.09756 (2019) - [i26]Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun, Quanquan Gu:
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks. CoRR abs/1911.07323 (2019) - 2018
- [c82]Zhengxing Chen, Christopher Amato, Truong-Huy D. Nguyen, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr:
Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games. CIG 2018: 1-8 - [c81]Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh:
HeteroMed: Heterogeneous Information Network for Medical Diagnosis. CIKM 2018: 763-772 - [c80]Ting Chen, Martin Renqiang Min, Yizhou Sun:
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations. ICML 2018: 853-862 - [c79]Zhengxing Chen, Truong-Huy D. Nguyen, Yuyu Xu, Christopher Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr:
The art of drafting: a team-oriented hero recommendation system for multiplayer online battle arena games. RecSys 2018: 200-208 - [c78]Shobeir Fakhraei, Yanen Li, Yizhou Sun, Tim Weninger:
HeteroNAM: International Workshop on Heterogeneous Networks Analysis and Mining. WSDM 2018: 795-796 - [c77]Yupeng Gu, Yizhou Sun, Yanen Li, Yang Yang:
RaRE: Social Rank Regulated Large-scale Network Embedding. WWW 2018: 359-368 - [r2]Yizhou Sun, Jiawei Han:
Ranking Methods for Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i25]Zhengxing Chen, Yuyu Xu, Truong-Huy D. Nguyen, Yizhou Sun, Magy Seif El-Nasr:
Modeling Game Avatar Synergy and Opposition through Embedding in Multiplayer Online Battle Arena Games. CoRR abs/1803.10402 (2018) - [i24]Anahita Hosseini, Ting Chen, Wenjun Wu, Yizhou Sun, Majid Sarrafzadeh:
HeteroMed: Heterogeneous Information Network for Medical Diagnosis. CoRR abs/1804.08052 (2018) - [i23]Ting Chen, Martin Renqiang Min, Yizhou Sun:
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations. CoRR abs/1806.09464 (2018) - [i22]Zhengxing Chen, Chris Amato, Truong-Huy D. Nguyen, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr:
Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games. CoRR abs/1806.09771 (2018) - [i21]Zhengxing Chen, Truong-Huy D. Nguyen, Yuyu Xu, Chris Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr:
The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games. CoRR abs/1806.10130 (2018) - [i20]Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang:
Graph Edit Distance Computation via Graph Neural Networks. CoRR abs/1808.05689 (2018) - [i19]Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang:
Convolutional Neural Networks for Fast Approximation of Graph Edit Distance. CoRR abs/1809.04440 (2018) - [i18]Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang:
Convolutional Set Matching for Graph Similarity. CoRR abs/1810.10866 (2018) - [i17]Xi Chen, Jie Tang, Yizhou Sun:
Modeling Personalized Dynamics of Social Network and Opinion at Individual Level. CoRR abs/1811.02791 (2018) - [i16]Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo:
Embedding Uncertain Knowledge Graphs. CoRR abs/1811.10667 (2018) - 2017
- [j15]Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Wasim Sadiq, Xiaofang Zhou:
ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation. ACM Trans. Intell. Syst. Technol. 8(3): 48:1-48:25 (2017) - [j14]Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu:
A Survey of Heterogeneous Information Network Analysis. IEEE Trans. Knowl. Data Eng. 29(1): 17-37 (2017) - [c76]Rui Dong, Yizhou Sun, Lu Wang, Yupeng Gu, Yuan Zhong:
Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction. CIKM 2017: 1249-1258 - [c75]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 - [c74]Rundong Li, Ningfang Mi, Mirek Riedewald, Yizhou Sun, Yi Yao:
A Case for Abstract Cost Models for Distributed Execution of Analytics Operators. DaWaK 2017: 149-163 - [c73]He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, Yizhou Sun:
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks. IJCAI 2017: 1944-1950 - [c72]Yupeng Gu, Yizhou Sun, Jianxi Gao:
The Co-Evolution Model for Social Network Evolving and Opinion Migration. KDD 2017: 175-184 - [c71]Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong:
On Sampling Strategies for Neural Network-based Collaborative Filtering. KDD 2017: 767-776 - [c70]Yupeng Gu, Ting Chen, Yizhou Sun, Bingyu Wang:
Ideology Detection for Twitter Users via Link Analysis. SBP-BRiMS 2017: 262-268 - [c69]Ting Chen, Yizhou Sun:
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification. WSDM 2017: 295-304 - [c68]Yizhou Sun, Hongzhi Yin, Xiang Ren:
Recommendation in Context-Rich Environment: An Information Network Analysis Approach. WWW (Companion Volume) 2017: 941-945 - [c67]Zhengxing Chen, Su Xue, John Kolen, Navid Aghdaie, Kazi A. Zaman, Yizhou Sun, Magy Seif El-Nasr:
EOMM: An Engagement Optimized Matchmaking Framework. WWW 2017: 1143-1150 - [c66]Yizhou Sun:
User Stance Prediction via Online Behavior Mining. WWW (Companion Volume) 2017: 1317 - [i15]Zhengxing Chen, Yizhou Sun, Magy Seif El-Nasr, Truong-Huy D. Nguyen:
Player Skill Decomposition in Multiplayer Online Battle Arenas. CoRR abs/1702.06253 (2017) - [i14]Zhengxing Chen, Su Xue, John Kolen, Navid Aghdaie, Kazi A. Zaman, Yizhou Sun, Magy Seif El-Nasr:
EOMM: An Engagement Optimized Matchmaking Framework. CoRR abs/1702.06820 (2017) - [i13]Ting Chen, Liangjie Hong, Yue Shi, Yizhou Sun:
Joint Text Embedding for Personalized Content-based Recommendation. CoRR abs/1706.01084 (2017) - [i12]Ting Chen, Yizhou Sun, Yue Shi, Liangjie Hong:
On Sampling Strategies for Neural Network-based Collaborative Filtering. CoRR abs/1706.07881 (2017) - [i11]Ting Chen, Martin Renqiang Min, Yizhou Sun:
Learning K-way D-dimensional Discrete Code For Compact Embedding Representations. CoRR abs/1711.03067 (2017) - [i10]Yu Zhou, Jianbin Huang, Heli Sun, Yizhou Sun, Hong Chong:
DMSS: A Robust Deep Meta Structure Based Similarity Measure in Heterogeneous Information Networks. CoRR abs/1712.09008 (2017) - 2016
- [j13]Gang Fu, Ying Ding, Abhik Seal, Bin Chen, Yizhou Sun, Evan Bolton:
Predicting drug target interactions using meta-path-based semantic network analysis. BMC Bioinform. 17: 160 (2016) - [j12]Peng Xia, Shuangfei Zhai, Benyuan Liu, Yizhou Sun, Cindy X. Chen:
Design of reciprocal recommendation systems for online dating. Soc. Netw. Anal. Min. 6(1): 32:1-32:16 (2016) - [c65]Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun:
Towards Representation Independent Similarity Search Over Graph Databases. CIKM 2016: 2233-2238 - [c64]Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun:
Toward Representation Independent Analytics over Structured Data. ICDM Workshops 2016: 357-360 - [c63]Xiaozhong Liu, Tian Xia, Yingying Yu, Chun Guo, Yizhou Sun:
Cross Social Media Recommendation. ICWSM 2016: 221-230 - [c62]Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang:
Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events. IJCAI 2016: 1396-1403 - [c61]Zhipeng Huang, Yudian Zheng, Reynold Cheng, Yizhou Sun, Nikos Mamoulis, Xiang Li:
Meta Structure: Computing Relevance in Large Heterogeneous Information Networks. KDD 2016: 1595-1604 - [c60]Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Haifeng Chen, Guofei Jiang:
Integrating Community and Role Detection in Information Networks. SDM 2016: 72-80 - [c59]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 - [c58]Alex D. Wade, Kuansan Wang, Yizhou Sun, Antonio Gulli:
WSDM Cup 2016: Entity Ranking Challenge. WSDM 2016: 593-594 - [c57]Yupeng Gu, Bo Zhao, David Hardtke, Yizhou Sun:
Learning Global Term Weights for Content-based Recommender Systems. WWW 2016: 391-400 - [i9]Ting Chen, Lu-An Tang, Yizhou Sun, Zhengzhang Chen, Kai Zhang:
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events. CoRR abs/1608.07502 (2016) - [i8]Ting Chen, Yizhou Sun:
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification. CoRR abs/1612.02814 (2016) - [i7]Yupeng Gu, Ting Chen, Yizhou Sun, Bingyu Wang:
Ideology Detection for Twitter Users with Heterogeneous Types of Links. CoRR abs/1612.08207 (2016) - 2015
- [j11]Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun:
Universal-DB: Towards Representation Independent Graph Analytics. Proc. VLDB Endow. 8(12): 2016-2019 (2015) - [c56]Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang:
RAIN: Social Role-Aware Information Diffusion. AAAI 2015: 367-373 - [c55]Jiawei Han, Heng Ji, Yizhou Sun:
Successful Data Mining Methods for NLP. ACL (Tutorial Abstracts) 2015: 1-4 - [c54]Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Sujian Li, Chin-Yew Lin, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Bülent Yener:
Context-aware Entity Morph Decoding. ACL (1) 2015: 586-595 - [c53]Peng Xia, Benyuan Liu, Yizhou Sun, Cindy X. Chen:
Reciprocal Recommendation System for Online Dating. ASONAM 2015: 234-241 - [c52]Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia Wasim Sadiq, Xiaofang Zhou:
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation. KDD 2015: 1255-1264 - [c51]Yang Yang, Yizhou Sun, Jie Tang, Bo Ma, Juan-Zi Li:
Entity Matching across Heterogeneous Sources. KDD 2015: 1395-1404 - [c50]Susan Collins, Yizhou Sun, Michal Kosinski, David Stillwell, Natasha Markuzon:
Are You Satisfied with Life?: Predicting Satisfaction with Life from Facebook. SBP 2015: 24-33 - [c49]Junxiang Chen, Wei Dai, Yizhou Sun, Jennifer G. Dy:
Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model. SDM 2015: 424-432 - [e1]Jian Li, Yizhou Sun:
Web-Age Information Management - 16th International Conference, WAIM 2015, Qingdao, China, June 8-10, 2015. Proceedings. Lecture Notes in Computer Science 9098, Springer 2015, ISBN 978-3-319-21041-4 [contents] - [i6]Peng Xia, Benyuan Liu, Yizhou Sun, Cindy X. Chen:
Reciprocal Recommendation System for Online Dating. CoRR abs/1501.06247 (2015) - [i5]Weiqing Wang, Hongzhi Yin, Ling Chen, Yizhou Sun, Shazia W. Sadiq, Xiaofang Zhou:
Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation. CoRR abs/1503.03650 (2015) - [i4]Yodsawalai Chodpathumwan, Amirhossein Aleyasen, Arash Termehchy, Yizhou Sun:
Representation Independent Proximity and Similarity Search. CoRR abs/1508.03763 (2015) - [i3]Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun, Philip S. Yu:
A Survey of Heterogeneous Information Network Analysis. CoRR abs/1511.04854 (2015) - 2014
- [j10]Yizhou Sun, Jie Tang, Jiawei Han, Cheng Chen, Manish Gupta:
Co-Evolution of Multi-Typed Objects in Dynamic Star Networks. IEEE Trans. Knowl. Data Eng. 26(12): 2942-2955 (2014) - [j9]Hongzhi Yin, Bin Cui, Yizhou Sun, Zhiting Hu, Ling Chen:
LCARS: A Spatial Item Recommender System. ACM Trans. Inf. Syst. 32(3): 11:1-11:37 (2014) - [c48]Boliang Zhang, Hongzhao Huang, Xiaoman Pan, Heng Ji, Kevin Knight, Zhen Wen, Yizhou Sun, Jiawei Han, Bülent Yener:
Be Appropriate and Funny: Automatic Entity Morph Encoding. ACL (2) 2014: 706-711 - [c47]Xiaozhong Liu, Yingying Yu, Chun Guo, Yizhou Sun:
Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation. CIKM 2014: 121-130 - [c46]Huan Gui, Yizhou Sun, Jiawei Han, George Brova:
Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks. CIKM 2014: 649-658 - [c45]Xiaozhong Liu, Yingying Yu, Chun Guo, Yizhou Sun, Liangcai Gao:
Full-text based context-rich heterogeneous network mining approach for citation recommendation. JCDL 2014: 361-370 - [c44]Yupeng Gu, Yizhou Sun, Ning Jiang, Bingyu Wang, Ting Chen:
Topic-factorized ideal point estimation model for legislative voting network. KDD 2014: 183-192 - [c43]Yodsawalai Chodpathumwan, Arash Termehchy, Yizhou Sun, Amirhossein Aleyasen, Jose Picado:
Toward General Similarity Search Over Graphs. GRADES 2014: 12:1-12:4 - [c42]Fangbo Tao, George Brova, Jiawei Han, Heng Ji, Chi Wang, Brandon Norick, Ahmed El-Kishky, Jialu Liu, Xiang Ren, Yizhou Sun:
NewsNetExplorer: automatic construction and exploration of news information networks. SIGMOD Conference 2014: 1091-1094 - [c41]Xiaozhong Liu, Liangcai Gao, Noriko Hara, Yizhou Sun:
Open educational resource based information understanding via pdf document interaction. WebSci 2014: 291-292 - [c40]Xiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Bradley Sturt, Urvashi Khandelwal, Brandon Norick, Jiawei Han:
Personalized entity recommendation: a heterogeneous information network approach. WSDM 2014: 283-292 - [p4]Hongbo Deng, Yizhou Sun, Yi Chang, Jiawei Han:
Probabilistic Models for Classification. Data Classification: Algorithms and Applications 2014: 65-86 - [r1]Yizhou Sun, Jiawei Han:
Ranking Methods for Networks. Encyclopedia of Social Network Analysis and Mining 2014: 1488-1497 - [i2]Yodsawalai Chodpathumwan, Jose Picado, Arash Termehchy, Alan Fern, Yizhou Sun:
Representation Independent Analytics Over Structured Data. CoRR abs/1409.2553 (2014) - 2013
- [j8]Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu:
PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks. ACM Trans. Knowl. Discov. Data 7(3): 11:1-11:23 (2013) - [j7]Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han:
A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models. IEEE Trans. Knowl. Data Eng. 25(1): 15-28 (2013) - [c39]Hongzhao Huang, Zhen Wen, Dian Yu, Heng Ji, Yizhou Sun, Jiawei Han, He Li:
Resolving Entity Morphs in Censored Data. ACL (1) 2013: 1083-1093 - [c38]Hyungsul Kim, Xiang Ren, Yizhou Sun, Chi Wang, Jiawei Han:
Semantic Frame-Based Document Representation for Comparable Corpora. ICDM 2013: 350-359 - [c37]Hongzhi Yin, Yizhou Sun, Bin Cui, Zhiting Hu, Ling Chen:
LCARS: a location-content-aware recommender system. KDD 2013: 221-229 - [c36]Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han:
Recommendation in heterogeneous information networks with implicit user feedback. RecSys 2013: 347-350 - [c35]Fangbo Tao, Xiao Yu, Kin Hou Lei, George Brova, Xiao Cheng, Jiawei Han, Rucha Kanade, Yizhou Sun, Chi Wang, Lidan Wang, Tim Weninger:
Research-insight: providing insight on research by publication network analysis. SIGMOD Conference 2013: 1093-1096 - [p3]Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Chawla, Jiawei Han:
Perspective on Measurement Metrics for Community Detection Algorithms. Mining Social Networks and Security Informatics 2013: 227-242 - 2012
- [b2]Yizhou Sun:
Mining heterogeneous information networks. University of Illinois Urbana-Champaign, USA, 2012 - [b1]Yizhou Sun, Jiawei Han:
Mining Heterogeneous Information Networks: Principles and Methodologies. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2012, ISBN 978-3-031-00774-3 - [j6]Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen-Chih Peng, Yizhou Sun, Alice Leung, Thomas La Porta:
Multidimensional Sensor Data Analysis in Cyber-Physical System: An Atypical Cube Approach. Int. J. Distributed Sens. Networks 8 (2012) - [j5]Yizhou Sun, Charu C. Aggarwal, Jiawei Han:
Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes. Proc. VLDB Endow. 5(5): 394-405 (2012) - [j4]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu:
Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach. Proc. VLDB Endow. 5(12): 2022-2023 (2012) - [j3]Yizhou Sun, Jiawei Han:
Mining heterogeneous information networks: a structural analysis approach. SIGKDD Explor. 14(2): 20-28 (2012) - [c34]Xiao Yu, Yizhou Sun, Brandon Norick, Tiancheng Mao, Jiawei Han:
User guided entity similarity search using meta-path selection in heterogeneous information networks. CIKM 2012: 2025-2029 - [c33]Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Wen-Chih Peng, Yizhou Sun, Hector Gonzalez, Sebastian Seith:
Multidimensional Analysis of Atypical Events in Cyber-Physical Data. ICDE 2012: 1025-1036 - [c32]Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu:
Mining Knowledge from Data: An Information Network Analysis Approach. ICDE 2012: 1214-1217 - [c31]Hyungsul Kim, Yizhou Sun, Julia Hockenmaier, Jiawei Han:
ETM: Entity Topic Models for Mining Documents Associated with Entities. ICDM 2012: 349-358 - [c30]Yang Yang, Nitesh V. Chawla, Yizhou Sun, Jiawei Han:
Predicting Links in Multi-relational and Heterogeneous Networks. ICDM 2012: 755-764 - [c29]Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han:
Integrating community matching and outlier detection for mining evolutionary community outliers. KDD 2012: 859-867 - [c28]Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan, Philip S. Yu, Xiao Yu:
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks. KDD 2012: 1348-1356 - [c27]Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han:
Query-driven discovery of semantically similar substructures in heterogeneous networks. KDD 2012: 1500-1503 - [c26]Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han:
Community Trend Outlier Detection Using Soft Temporal Pattern Mining. ECML/PKDD (2) 2012: 692-708 - [c25]Yizhou Sun, Jiawei Han, Charu C. Aggarwal, Nitesh V. Chawla:
When will it happen?: relationship prediction in heterogeneous information networks. WSDM 2012: 663-672 - [c24]Shangkun Deng, Yizhou Sun, Akito Sakurai:
Robustness Test of Genetic Algorithm on Generating Rules for Currency Trading. INNS-WC 2012: 86-98 - [p2]Yizhou Sun, Hongbo Deng, Jiawei Han:
Probabilistic Models for Text Mining. Mining Text Data 2012: 259-295 - [i1]Yizhou Sun, Charu C. Aggarwal, Jiawei Han:
Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes. CoRR abs/1201.6563 (2012) - 2011
- [j2]Yizhou Sun, Jiawei Han, Xifeng Yan, Philip S. Yu, Tianyi Wu:
PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks. Proc. VLDB Endow. 4(11): 992-1003 (2011) - [c23]Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizhou Sun:
Evolutionary Clustering and Analysis of Bibliographic Networks. ASONAM 2011: 63-70 - [c22]Yizhou Sun, Rick Barber, Manish Gupta, Charu C. Aggarwal, Jiawei Han:
Co-author Relationship Prediction in Heterogeneous Bibliographic Networks. ASONAM 2011: 121-128 - [c21]Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Chawla, Jiawei Han:
Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks. ASONAM 2011: 394-397 - [c20]Hieu Khac Le, Jeff Pasternack, Hossein Ahmadi, Manish Gupta, Yizhou Sun, Tarek F. Abdelzaher, Jiawei Han, Dan Roth, Boleslaw K. Szymanski, Sibel Adali:
Apollo: Towards factfinding in participatory sensing. IPSN 2011: 129-130 - [c19]Tim Weninger, Marina Danilevsky, Fabio Fumarola, Joshua M. Hailpern, Jiawei Han, Thomas J. Johnston, Surya Kallumadi, Hyungsul Kim, Zhijin Li, David McCloskey, Yizhou Sun, Nathan E. TeGrotenhuis, Chi Wang, Xiao Yu:
WINACS: construction and analysis of web-based computer science information networks. SIGMOD Conference 2011: 1255-1258 - [c18]Manish Gupta, Yizhou Sun, Jiawei Han:
Trust analysis with clustering. WWW (Companion Volume) 2011: 53-54 - 2010
- [c17]Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, Yizhou Sun, Yaguang Liu:
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks. CIKM 2010: 219-228 - [c16]Tianyi Wu, Yizhou Sun, Cuiping Li, Jiawei Han:
Region-based online promotion analysis. EDBT 2010: 63-74 - [c15]Cuiping Li, Jiawei Han, Guoming He, Xin Jin, Yizhou Sun, Yintao Yu, Tianyi Wu:
Fast computation of SimRank for static and dynamic information networks. EDBT 2010: 465-476 - [c14]Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Sun, Jiawei Han:
On community outliers and their efficient detection in information networks. KDD 2010: 813-822 - [c13]Yizhou Sun, Jie Tang, Jiawei Han, Manish Gupta, Bo Zhao:
Community evolution detection in dynamic heterogeneous information networks. MLG@KDD 2010: 137-146 - [c12]Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao:
Graph Regularized Transductive Classification on Heterogeneous Information Networks. ECML/PKDD (1) 2010: 570-586 - [c11]Jiawei Han, Yizhou Sun, Xifeng Yan, Philip S. Yu:
Mining knowledge from databases: an information network analysis approach. SIGMOD Conference 2010: 1251-1252 - [p1]Yizhou Sun, Jiawei Han:
Integrating Clustering with Ranking in Heterogeneous Information Networks Analysis. Link Mining 2010: 439-473
2000 – 2009
- 2009
- [j1]Yintao Yu, Cindy Xide Lin, Yizhou Sun, Chen Chen, Jiawei Han, Binbin Liao, Tianyi Wu, ChengXiang Zhai, Duo Zhang, Bo Zhao:
iNextCube: Information Network-Enhanced Text Cube. Proc. VLDB Endow. 2(2): 1622-1625 (2009) - [c10]Peixiang Zhao, Jiawei Han, Yizhou Sun:
P-Rank: a comprehensive structural similarity measure over information networks. CIKM 2009: 553-562 - [c9]Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin, Hong Cheng, Tianyi Wu:
RankClus: integrating clustering with ranking for heterogeneous information network analysis. EDBT 2009: 565-576 - [c8]Yizhou Sun, Jiawei Han, Jing Gao, Yintao Yu:
iTopicModel: Information Network-Integrated Topic Modeling. ICDM 2009: 493-502 - [c7]Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han:
Heterogeneous source consensus learning via decision propagation and negotiation. KDD 2009: 339-348 - [c6]Yizhou Sun, Yintao Yu, Jiawei Han:
Ranking-based clustering of heterogeneous information networks with star network schema. KDD 2009: 797-806 - [c5]Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han:
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models. NIPS 2009: 585-593 - 2008
- [c4]Shan He, Cheng Hu, Guojie Song, Kunqing Xie, Yizhou Sun:
Real-Time Short-Term Traffic Flow Forecasting Based on Process Neural Network. ISNN (2) 2008: 560-569 - [c3]Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, Yizhou Sun:
Sampling cube: a framework for statistical olap over sampling data. SIGMOD Conference 2008: 779-790 - [c2]Yizhou Sun, Tianyi Wu, Zhijun Yin, Hong Cheng, Jiawei Han, Xiaoxin Yin, Peixiang Zhao:
BibNetMiner: mining bibliographic information networks. SIGMOD Conference 2008: 1341-1344 - 2007
- [c1]Yizhou Sun, Kunqing Xie, Ning Liu, Shuicheng Yan, Benyu Zhang, Zheng Chen:
Causal relation of queries from temporal logs. WWW 2007: 1141-1142
Coauthor Index
[j24] [j21] [c130] [i72] [i47] [r2] [c75] [c59] [c55] [c54] [j10] [c48] [c46] [c42] [c40] [p4] [r1] [j8] [j7] [c39] [c38] [c36] [c35] [p3] [b1] [j6] [j5] [j4] [j3] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [p2] [i1] [j2] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [p1] [j1] [c10] [c9] [c8] [c7] [c6] [c5] [c3] [c2]
[c168] [c164] [c157] [i119] [i116] [i114] [i112] [i103] [c154] [c153] [c145] [c139] [i95] [i90] [i88] [i85] [i84] [i82] [i80] [j26] [c133] [c131] [c121] [c120] [c116] [i74] [i71] [i69] [i67] [i64] [i61] [c115] [c111] [c110] [c109] [c108] [c107] [i59] [i58] [i57] [i56] [i51] [c105] [c104] [c103] [c101] [c95] [i49] [i46] [i45] [i43] [i40] [i39] [i36] [c92] [c86] [c85] [c83] [i33] [i20] [i19] [i18]
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