Causal relation of queries from temporal logs. - Yizhou Sun; Kunqing Xie; Ning Liu 001; Shuicheng Yan; Benyu Zhang; Zheng Chen 001 (WWW, 2007)

Real-Time Short-Term Traffic Flow Forecasting Based on Process Neural Network. - Shan He; Cheng Hu; Guojie Song; Kunqing Xie; Yizhou Sun (ISNN (2), 2008)

Sampling cube: a framework for statistical olap over sampling data. - Xiaolei Li 001; Jiawei Han 001; Zhijun Yin; Jae-Gil Lee 001; Yizhou Sun (SIGMOD Conference, 2008)

BibNetMiner: mining bibliographic information networks. - Yizhou Sun; Tianyi Wu; Zhijun Yin; Hong Cheng 001; Jiawei Han 001; Xiaoxin Yin; Peixiang Zhao 001 (SIGMOD Conference, 2008)

P-Rank: a comprehensive structural similarity measure over information networks. - Peixiang Zhao 001; Jiawei Han 001; Yizhou Sun (CIKM, 2009)

RankClus: integrating clustering with ranking for heterogeneous information network analysis. - Yizhou Sun; Jiawei Han 001; Peixiang Zhao 001; Zhijun Yin; Hong Cheng 001; Tianyi Wu (EDBT, 2009)

iTopicModel: Information Network-Integrated Topic Modeling. - Yizhou Sun; Jiawei Han 001; Jing Gao 004; Yintao Yu (ICDM, 2009)

Heterogeneous source consensus learning via decision propagation and negotiation. - Jing Gao 004; Wei Fan 001; Yizhou Sun; Jiawei Han 001 (KDD, 2009)

Ranking-based clustering of heterogeneous information networks with star network schema. - Yizhou Sun; Yintao Yu; Jiawei Han 001 (KDD, 2009)

Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models. - Jing Gao 004; Feng Liang; Wei Fan 001; Yizhou Sun; Jiawei Han 001 (NIPS, 2009)

iNextCube: Information Network-Enhanced Text Cube. - Yintao Yu; Cindy Xide Lin; Yizhou Sun; Chen Chen 005; Jiawei Han 001; Binbin Liao; Tianyi Wu; ChengXiang Zhai; Duo Zhang 001; Bo Zhao 001 (Proc. VLDB Endow., 2009)

Integrating Clustering with Ranking in Heterogeneous Information Networks Analysis. - Yizhou Sun; Jiawei Han 001 (Link Mining, 2010)

SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks. - Jianbin Huang; Heli Sun; Jiawei Han 001; Hongbo Deng; Yizhou Sun; Yaguang Liu (CIKM, 2010)

Fast computation of SimRank for static and dynamic information networks. - Cuiping Li 001; Jiawei Han 001; Guoming He; Xin Jin 001; Yizhou Sun; Yintao Yu; Tianyi Wu (EDBT, 2010)

Region-based online promotion analysis. - Tianyi Wu; Yizhou Sun; Cuiping Li 001; Jiawei Han 001 (EDBT, 2010)

On community outliers and their efficient detection in information networks. - Jing Gao 004; Feng Liang; Wei Fan 001; Chi Wang 001; Yizhou Sun; Jiawei Han 001 (KDD, 2010)

Community evolution detection in dynamic heterogeneous information networks. - Yizhou Sun; Jie Tang 001; Jiawei Han 001; Manish Gupta 001; Bo Zhao 001 (MLG@KDD, 2010)

Graph Regularized Transductive Classification on Heterogeneous Information Networks. - Ming Ji; Yizhou Sun; Marina Danilevsky; Jiawei Han 001; Jing Gao 004 (ECML/PKDD (1), 2010)

Mining knowledge from databases: an information network analysis approach. - Jiawei Han 001; Yizhou Sun; Xifeng Yan; Philip S. Yu (SIGMOD Conference, 2010)

Evolutionary Clustering and Analysis of Bibliographic Networks. - Manish Gupta 001; Charu C. Aggarwal; Jiawei Han 001; Yizhou Sun (ASONAM, 2011)

Co-author Relationship Prediction in Heterogeneous Bibliographic Networks. - Yizhou Sun; Rick Barber; Manish Gupta 001; Charu C. Aggarwal; Jiawei Han 001 (ASONAM, 2011)

Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks. - Yang Yang 008; Yizhou Sun; Saurav Pandit; Nitesh V. Chawla; Jiawei Han 001 (ASONAM, 2011)

Apollo: Towards factfinding in participatory sensing. - Hieu Khac Le; Jeff Pasternack; Hossein Ahmadi 001; Manish Gupta 001; Yizhou Sun; Tarek F. Abdelzaher; Jiawei Han 001; Dan Roth 001; Boleslaw K. Szymanski; Sibel Adali (IPSN, 2011)

WINACS: construction and analysis of web-based computer science information networks. - Tim Weninger; Marina Danilevsky; Fabio Fumarola; Joshua M. Hailpern; Jiawei Han 001; Thomas J. Johnston; Surya Kallumadi; Hyungsul Kim; Zhijin Li; David McCloskey; Yizhou Sun; Nathan E. TeGrotenhuis; et al. (SIGMOD Conference, 2011)

Trust analysis with clustering. - Manish Gupta 001; Yizhou Sun; Jiawei Han 001 (WWW (Companion Volume), 2011)

PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks. - Yizhou Sun; Jiawei Han 001; Xifeng Yan; Philip S. Yu; Tianyi Wu (Proc. VLDB Endow., 2011)

Probabilistic Models for Text Mining. - Yizhou Sun; Hongbo Deng; Jiawei Han 001 (Mining Text Data, 2012)

User guided entity similarity search using meta-path selection in heterogeneous information networks. - Xiao Yu 007; Yizhou Sun; Brandon Norick; Tiancheng Mao; Jiawei Han 001 (CIKM, 2012)

Mining Knowledge from Data: An Information Network Analysis Approach. - Jiawei Han 001; Yizhou Sun; Xifeng Yan; Philip S. Yu (ICDE, 2012)

Multidimensional Analysis of Atypical Events in Cyber-Physical Data. - Lu-An Tang; Xiao Yu 007; Sangkyum Kim; Jiawei Han 001; Wen-Chih Peng; Yizhou Sun; Hector Gonzalez; Sebastian Seith (ICDE, 2012)

ETM: Entity Topic Models for Mining Documents Associated with Entities. - Hyungsul Kim; Yizhou Sun; Julia Hockenmaier; Jiawei Han 001 (ICDM, 2012)

Predicting Links in Multi-relational and Heterogeneous Networks. - Yang Yang 008; Nitesh V. Chawla; Yizhou Sun; Jiawei Han 001 (ICDM, 2012)

Integrating community matching and outlier detection for mining evolutionary community outliers. - Manish Gupta 001; Jing Gao 004; Yizhou Sun; Jiawei Han 001 (KDD, 2012)

Integrating meta-path selection with user-guided object clustering in heterogeneous information networks. - Yizhou Sun; Brandon Norick; Jiawei Han 001; Xifeng Yan; Philip S. Yu; Xiao Yu 007 (KDD, 2012)

Query-driven discovery of semantically similar substructures in heterogeneous networks. - Xiao Yu 007; Yizhou Sun; Peixiang Zhao 001; Jiawei Han 001 (KDD, 2012)

Community Trend Outlier Detection Using Soft Temporal Pattern Mining. - Manish Gupta 001; Jing Gao 004; Yizhou Sun; Jiawei Han 001 (ECML/PKDD (2), 2012)

When will it happen?: relationship prediction in heterogeneous information networks. - Yizhou Sun; Jiawei Han 001; Charu C. Aggarwal; Nitesh V. Chawla (WSDM, 2012)

Multidimensional Sensor Data Analysis in Cyber-Physical System: An Atypical Cube Approach. - Lu-An Tang; Xiao Yu 007; Sangkyum Kim; Jiawei Han 001; Wen-Chih Peng; Yizhou Sun; Alice Leung; Thomas La Porta (Int. J. Distributed Sens. Networks, 2012)

Robustness Test of Genetic Algorithm on Generating Rules for Currency Trading. - Shangkun Deng; Yizhou Sun; Akito Sakurai (INNS-WC, 2012)

Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes. - Yizhou Sun; Charu C. Aggarwal; Jiawei Han 001 (Proc. VLDB Endow., 2012)

Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach. - Yizhou Sun; Jiawei Han 001; Xifeng Yan; Philip S. Yu (Proc. VLDB Endow., 2012)

Mining heterogeneous information networks: a structural analysis approach. - Yizhou Sun; Jiawei Han 001 (SIGKDD Explor., 2012)

Mining heterogeneous information networks - Yizhou Sun (2012)

Mining Heterogeneous Information Networks: Principles and Methodologies - Yizhou Sun; Jiawei Han 001 (Mining Heterogeneous Information Networks, 2012)

Resolving Entity Morphs in Censored Data. - Hongzhao Huang; Zhen Wen; Dian Yu 001; Heng Ji 001; Yizhou Sun; Jiawei Han 001; He Li (ACL (1), 2013)

Semantic Frame-Based Document Representation for Comparable Corpora. - Hyungsul Kim; Xiang Ren 001; Yizhou Sun; Chi Wang 001; Jiawei Han 001 (ICDM, 2013)

LCARS: a location-content-aware recommender system. - Hongzhi Yin; Yizhou Sun; Bin Cui 001; Zhiting Hu; Ling Chen 006 (KDD, 2013)

Recommendation in heterogeneous information networks with implicit user feedback. - Xiao Yu 007; Xiang Ren 001; Yizhou Sun; Bradley Sturt; Urvashi Khandelwal; Quanquan Gu; Brandon Norick; Jiawei Han 001 (RecSys, 2013)

Research-insight: providing insight on research by publication network analysis. - Fangbo Tao; Xiao Yu 007; Kin Hou Lei; George Brova; Xiao Cheng; Jiawei Han 001; Rucha Kanade; Yizhou Sun; Chi Wang 001; Lidan Wang; Tim Weninger (SIGMOD Conference, 2013)

PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks. - Yizhou Sun; Brandon Norick; Jiawei Han 001; Xifeng Yan; Philip S. Yu; Xiao Yu 007 (ACM Trans. Knowl. Discov. Data, 2013)

A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models. - Jing Gao 004; Feng Liang; Wei Fan 001; Yizhou Sun; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2013)

Perspective on Measurement Metrics for Community Detection Algorithms. - Yang Yang 008; Yizhou Sun; Saurav Pandit; Nitesh V. Chawla; Jiawei Han 001 (Mining Social Networks and Security Informatics, 2013)

Probabilistic Models for Classification. - Hongbo Deng; Yizhou Sun; Yi Chang 001; Jiawei Han 001 (Data Classification: Algorithms and Applications, 2014)

Be Appropriate and Funny: Automatic Entity Morph Encoding. - Boliang Zhang; Hongzhao Huang; Xiaoman Pan; Heng Ji 001; Kevin Knight; Zhen Wen; Yizhou Sun; Jiawei Han 001; Bülent Yener (ACL (2), 2014)

Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks. - Huan Gui; Yizhou Sun; Jiawei Han 001; George Brova (CIKM, 2014)

Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation. - Xiaozhong Liu; Yingying Yu; Chun Guo 001; Yizhou Sun (CIKM, 2014)

Full-text based context-rich heterogeneous network mining approach for citation recommendation. - Xiaozhong Liu; Yingying Yu; Chun Guo 001; Yizhou Sun; Liangcai Gao (JCDL, 2014)

Topic-factorized ideal point estimation model for legislative voting network. - Yupeng Gu; Yizhou Sun; Ning Jiang; Bingyu Wang; Ting Chen 007 (KDD, 2014)

Toward General Similarity Search Over Graphs. - Yodsawalai Chodpathumwan; Arash Termehchy; Yizhou Sun; Amirhossein Aleyasen; Jose Picado (GRADES, 2014)

NewsNetExplorer: automatic construction and exploration of news information networks. - Fangbo Tao; George Brova; Jiawei Han 001; Heng Ji 001; Chi Wang 001; Brandon Norick; Ahmed El-Kishky; Jialu Liu; Xiang Ren 001; Yizhou Sun (SIGMOD Conference, 2014)

Open educational resource based information understanding via pdf document interaction. - Xiaozhong Liu; Liangcai Gao; Noriko Hara; Yizhou Sun (WebSci, 2014)

Personalized entity recommendation: a heterogeneous information network approach. - Xiao Yu 007; Xiang Ren 001; Yizhou Sun; Quanquan Gu; Bradley Sturt; Urvashi Khandelwal; Brandon Norick; Jiawei Han 001 (WSDM, 2014)

Representation Independent Analytics Over Structured Data. - Yodsawalai Chodpathumwan; Jose Picado; Arash Termehchy; Alan Fern; Yizhou Sun (CoRR, 2014)

Co-Evolution of Multi-Typed Objects in Dynamic Star Networks. - Yizhou Sun; Jie Tang 001; Jiawei Han 001; Cheng Chen; Manish Gupta 001 (IEEE Trans. Knowl. Data Eng., 2014)

LCARS: A Spatial Item Recommender System. - Hongzhi Yin; Bin Cui 001; Yizhou Sun; Zhiting Hu; Ling Chen 006 (ACM Trans. Inf. Syst., 2014)

Ranking Methods for Networks. - Yizhou Sun; Jiawei Han 001 (Encyclopedia of Social Network Analysis and Mining, 2014)

RAIN: Social Role-Aware Information Diffusion. - Yang Yang 009; Jie Tang 001; Cane Wing-ki Leung; Yizhou Sun; Qicong Chen; Juanzi Li; Qiang Yang 001 (AAAI, 2015)

Successful Data Mining Methods for NLP. - Jiawei Han 001; Heng Ji 001; Yizhou Sun (ACL (Tutorial Abstracts), 2015)

Context-aware Entity Morph Decoding. - Boliang Zhang; Hongzhao Huang; Xiaoman Pan; Sujian Li; Chin-Yew Lin; Heng Ji 001; Kevin Knight; Zhen Wen; Yizhou Sun; Jiawei Han 001; Bülent Yener (ACL (1), 2015)

Reciprocal Recommendation System for Online Dating. - Peng Xia 003; Benyuan Liu; Yizhou Sun; Cindy X. Chen (ASONAM, 2015)

Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation. - Weiqing Wang 001; Hongzhi Yin; Ling Chen 006; Yizhou Sun; Shazia Sadiq; Xiaofang Zhou 001 (KDD, 2015)

Entity Matching across Heterogeneous Sources. - Yang Yang 009; Yizhou Sun; Jie Tang 001; Bo Ma; Juan-Zi Li (KDD, 2015)

Are You Satisfied with Life?: Predicting Satisfaction with Life from Facebook. - Susan Collins; Yizhou Sun; Michal Kosinski; David Stillwell; Natasha Markuzon (SBP, 2015)

Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model. - Junxiang Chen; Wei Dai; Yizhou Sun; Jennifer G. Dy (SDM, 2015)

Representation Independent Proximity and Similarity Search. - Yodsawalai Chodpathumwan; Amirhossein Aleyasen; Arash Termehchy; Yizhou Sun (CoRR, 2015)

Universal-DB: Towards Representation Independent Graph Analytics. - Yodsawalai Chodpathumwan; Amirhossein Aleyasen; Arash Termehchy; Yizhou Sun (Proc. VLDB Endow., 2015)

Towards Representation Independent Similarity Search Over Graph Databases. - Yodsawalai Chodpathumwan; Amirhossein Aleyasen; Arash Termehchy; Yizhou Sun (CIKM, 2016)

Toward Representation Independent Analytics over Structured Data. - Yodsawalai Chodpathumwan; Jose Picado; Arash Termehchy; Alan Fern; Yizhou Sun (ICDM Workshops, 2016)

Cross Social Media Recommendation. - Xiaozhong Liu; Tian Xia; Yingying Yu; Chun Guo 001; Yizhou Sun (ICWSM, 2016)

Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events. - Ting Chen 007; Lu-An Tang; Yizhou Sun; Zhengzhang Chen; Kai Zhang 001 (IJCAI, 2016)

Meta Structure: Computing Relevance in Large Heterogeneous Information Networks. - Zhipeng Huang 001; Yudian Zheng; Reynold Cheng; Yizhou Sun; Nikos Mamoulis; Xiang Li 067 (KDD, 2016)

Integrating Community and Role Detection in Information Networks. - Ting Chen 007; Lu-An Tang; Yizhou Sun; Zhengzhang Chen; Haifeng Chen; Guofei Jiang (SDM, 2016)

RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks. - Chenguang Wang 001; Yizhou Sun; Yanglei Song; Jiawei Han 001; Yangqiu Song; Lidan Wang; Ming Zhang 004 (SDM, 2016)

WSDM Cup 2016: Entity Ranking Challenge. - Alex D. Wade; Kuansan Wang; Yizhou Sun; Antonio Gulli (WSDM, 2016)

Learning Global Term Weights for Content-based Recommender Systems. - Yupeng Gu; Bo Zhao 001; David Hardtke; Yizhou Sun (WWW, 2016)

Predicting drug target interactions using meta-path-based semantic network analysis. - Gang Fu; Ying Ding 001; Abhik Seal; Bin Chen 002; Yizhou Sun; Evan Bolton (BMC Bioinform., 2016)

Ideology Detection for Twitter Users with Heterogeneous Types of Links. - Yupeng Gu; Ting Chen 007; Yizhou Sun; Bingyu Wang (CoRR, 2016)

Design of reciprocal recommendation systems for online dating. - Peng Xia 003; Shuangfei Zhai; Benyuan Liu; Yizhou Sun; Cindy X. Chen (Soc. Netw. Anal. Min., 2016)

Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction. - Rui Dong; Yizhou Sun; Lu Wang 008; Yupeng Gu; Yuan Zhong (CIKM, 2017)

Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks. - Chenguang Wang 001; Yangqiu Song; Haoran Li 003; Yizhou Sun; Ming Zhang 004; Jiawei Han 001 (CIKM, 2017)

A Case for Abstract Cost Models for Distributed Execution of Analytics Operators. - Rundong Li 001; Ningfang Mi; Mirek Riedewald; Yizhou Sun; Yi Yao (DaWaK, 2017)

Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks. - He Jiang; Yangqiu Song; Chenguang Wang 001; Ming Zhang 004; Yizhou Sun (IJCAI, 2017)

On Sampling Strategies for Neural Network-based Collaborative Filtering. - Ting Chen 007; Yizhou Sun; Yue Shi 002; Liangjie Hong (KDD, 2017)

The Co-Evolution Model for Social Network Evolving and Opinion Migration. - Yupeng Gu; Yizhou Sun; Jianxi Gao (KDD, 2017)

Ideology Detection for Twitter Users via Link Analysis. - Yupeng Gu; Ting Chen 007; Yizhou Sun; Bingyu Wang (SBP-BRiMS, 2017)

Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification. - Ting Chen 007; Yizhou Sun (WSDM, 2017)

EOMM: An Engagement Optimized Matchmaking Framework. - Zhengxing Chen; Su Xue; John Kolen; Navid Aghdaie; Kazi A. Zaman; Yizhou Sun; Magy Seif El-Nasr (WWW, 2017)

User Stance Prediction via Online Behavior Mining. - Yizhou Sun (WWW (Companion Volume), 2017)

Recommendation in Context-Rich Environment: An Information Network Analysis Approach. - Yizhou Sun; Hongzhi Yin; Xiang Ren 001 (WWW (Companion Volume), 2017)

Joint Text Embedding for Personalized Content-based Recommendation. - Ting Chen 007; Liangjie Hong; Yue Shi 002; Yizhou Sun (CoRR, 2017)

Player Skill Decomposition in Multiplayer Online Battle Arenas. - Zhengxing Chen; Yizhou Sun; Magy Seif El-Nasr; Truong-Huy D. Nguyen (CoRR, 2017)

Learning K-way D-dimensional Discrete Code For Compact Embedding Representations. - Ting Chen 007; Martin Renqiang Min; Yizhou Sun (CoRR, 2017)

DMSS: A Robust Deep Meta Structure Based Similarity Measure in Heterogeneous Information Networks. - Yu Zhou 019; Jianbin Huang; Heli Sun; Yizhou Sun; Hong Chong (CoRR, 2017)

ST-SAGE: A Spatial-Temporal Sparse Additive Generative Model for Spatial Item Recommendation. - Weiqing Wang 001; Hongzhi Yin; Ling Chen 006; Yizhou Sun; Shazia Sadiq; Xiaofang Zhou 001 (ACM Trans. Intell. Syst. Technol., 2017)

A Survey of Heterogeneous Information Network Analysis. - Chuan Shi 001; Yitong Li; Jiawei Zhang 001; Yizhou Sun; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2017)

Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games. - Zhengxing Chen; Christopher Amato; Truong-Huy D. Nguyen; Seth Cooper; Yizhou Sun; Magy Seif El-Nasr (CIG, 2018)

HeteroMed: Heterogeneous Information Network for Medical Diagnosis. - Anahita Hosseini; Ting Chen 007; Wenjun Wu; Yizhou Sun; Majid Sarrafzadeh (CIKM, 2018)

Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations. - Ting Chen 007; Martin Renqiang Min; Yizhou Sun (ICML, 2018)

The art of drafting: a team-oriented hero recommendation system for multiplayer online battle arena games. - Zhengxing Chen; Truong-Huy D. Nguyen; Yuyu Xu; Christopher Amato; Seth Cooper; Yizhou Sun; Magy Seif El-Nasr (RecSys, 2018)

HeteroNAM: International Workshop on Heterogeneous Networks Analysis and Mining. - Shobeir Fakhraei; Yanen Li; Yizhou Sun; Tim Weninger (WSDM, 2018)

RaRE: Social Rank Regulated Large-scale Network Embedding. - Yupeng Gu; Yizhou Sun; Yanen Li; Yang Yang 009 (WWW, 2018)

Modeling Game Avatar Synergy and Opposition through Embedding in Multiplayer Online Battle Arena Games. - Zhengxing Chen; Yuyu Xu; Truong-Huy D. Nguyen; Yizhou Sun; Magy Seif El-Nasr (CoRR, 2018)

Graph Edit Distance Computation via Graph Neural Networks. - Yunsheng Bai; Hao Ding 003; Song Bian 002; Ting Chen 007; Yizhou Sun; Wei Wang 010 (CoRR, 2018)

Convolutional Neural Networks for Fast Approximation of Graph Edit Distance. - Yunsheng Bai; Hao Ding 003; Yizhou Sun; Wei Wang 010 (CoRR, 2018)

Convolutional Set Matching for Graph Similarity. - Yunsheng Bai; Hao Ding 003; Yizhou Sun; Wei Wang 010 (CoRR, 2018)

Modeling Personalized Dynamics of Social Network and Opinion at Individual Level. - Xi Chen; Jie Tang 001; Yizhou Sun (CoRR, 2018)

Ranking Methods for Networks. - Yizhou Sun; Jiawei Han 001 (Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018)

Embedding Uncertain Knowledge Graphs. - Xuelu Chen; Muhao Chen 001; Weijia Shi; Yizhou Sun; Carlo Zaniolo (AAAI, 2019)

Personalized Question Routing via Heterogeneous Network Embedding. - Zeyu Li 001; Jyun-Yu Jiang; Yizhou Sun; Wei Wang 010 (AAAI, 2019)

Few-Shot Representation Learning for Out-Of-Vocabulary Words. - Ziniu Hu; Ting Chen 007; Kai-Wei Chang; Yizhou Sun (ACL (1), 2019)

How do influencers mention brands in social media?: sponsorship prediction of Instagram posts. - Xiao Yang; Seungbae Kim; Yizhou Sun (ASONAM, 2019)

Understanding Default Behavior in Online Lending. - Yang Yang 009; Yuhong Xu; Chunping Wang 001; Yizhou Sun; Fei Wu 001; Yueting Zhuang; Ming Gu (CIKM, 2019)

Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. - Changjun Fan; Li Zeng; Yuhui Ding; Muhao Chen 001; Yizhou Sun; Zhong Liu 002 (CIKM, 2019)

Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. - Yunsheng Bai; Hao Ding 003; Yang Qiao; Agustin Marinovic; Ken Gu; Ting Chen 007; Yizhou Sun; Wei Wang 010 (IJCAI, 2019)

Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. - Junheng Hao; Muhao Chen 001; Wenchao Yu; Yizhou Sun; Wei Wang 010 (KDD, 2019)

Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks. - Difan Zou; Ziniu Hu; Yewen Wang; Song Jiang 002; Yizhou Sun; Quanquan Gu (NeurIPS, 2019)

SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. - Yunsheng Bai; Hao Ding 003; Song Bian 002; Ting Chen 007; Yizhou Sun; Wei Wang 010 (WSDM, 2019)

Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity. - Yunsheng Bai; Hao Ding 003; Yang Qiao; Agustin Marinovic; Ken Gu; Ting Chen 007; Yizhou Sun; Wei Wang 010 (CoRR, 2019)

Learning Fair Representations via an Adversarial Framework. - Rui Feng; Yang Yang 009; Yuehan Lyu; Chenhao Tan; Yizhou Sun; Chunping Wang 001 (CoRR, 2019)

Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification. - Ting Chen 007; Song Bian 002; Yizhou Sun (CoRR, 2019)

Pre-Training Graph Neural Networks for Generic Structural Feature Extraction. - Ziniu Hu; Changjun Fan; Ting Chen 007; Kai-Wei Chang; Yizhou Sun (CoRR, 2019)

Differentiable Product Quantization for End-to-End Embedding Compression. - Ting Chen 007; Yizhou Sun (CoRR, 2019)

Abstract cost models for distributed data-intensive computations. - Rundong Li 001; Ningfang Mi; Mirek Riedewald; Yizhou Sun; Yi Yao (Distributed Parallel Databases, 2019)

Recurrent Meta-Structure for Robust Similarity Measure in Heterogeneous Information Networks. - Yu Zhou 019; Jianbin Huang; Heli Sun; Yizhou Sun; Shaojie Qiao; Stephen Manko Wambura (ACM Trans. Knowl. Discov. Data, 2019)

Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching. - Yunsheng Bai; Hao Ding 003; Ken Gu; Yizhou Sun; Wei Wang 010 (AAAI, 2020)

Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases. - Junheng Hao; Chelsea J.-T. Ju; Muhao Chen 001; Yizhou Sun; Carlo Zaniolo; Wei Wang 010 (BCB, 2020)

P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. - Junheng Hao; Tong Zhao 002; Jin Li 003; Xin Luna Dong; Christos Faloutsos; Yizhou Sun; Wei Wang 010 (CIKM, 2020)

Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer. - Xuelu Chen; Muhao Chen 001; Changjun Fan; Ankith Uppunda; Yizhou Sun; Carlo Zaniolo (EMNLP (Findings), 2020)

Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. - Tianxin Wei; Ziwei Wu; Ruirui Li 002; Ziniu Hu; Fuli Feng; Xiangnan He 001; Yizhou Sun; Wei Wang 010 (ICDM, 2020)

Differentiable Product Quantization for End-to-End Embedding Compression. - Ting Chen 007; Lala Li; Yizhou Sun (ICML, 2020)

Heterogeneous Network Representation Learning. - Yuxiao Dong; Ziniu Hu; Kuansan Wang; Yizhou Sun; Jie Tang 001 (IJCAI, 2020)

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. - Zhiping Xiao 001; Weiping Song; Haoyan Xu; Zhicheng Ren; Yizhou Sun (KDD, 2020)

GPT-GNN: Generative Pre-Training of Graph Neural Networks. - Ziniu Hu; Yuxiao Dong; Kuansan Wang; Kai-Wei Chang; Yizhou Sun (KDD, 2020)

GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases. - Zongyue Qin; Yunsheng Bai; Yizhou Sun (KDD, 2020)

Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations. - Zijie Huang 002; Yizhou Sun; Wei Wang 010 (NeurIPS, 2020)

Graph Neural Networks for Graph Search. - Yizhou Sun (GRADES-NDA@SIGMOD, 2020)

Heterogeneous Graph Transformer. - Ziniu Hu; Yuxiao Dong; Kuansan Wang; Yizhou Sun (WWW, 2020)

Fast Detection of Maximum Common Subgraph via Deep Q-Learning. - Yunsheng Bai; Derek Xu; Alex Wang; Ken Gu; Xueqing Wu 001; Agustin Marinovic; Christopher Ro; Yizhou Sun; Wei Wang 010 (CoRR, 2020)

Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. - Carl Yang 001; Yuxin Xiao; Yu Zhang 044; Yizhou Sun; Jiawei Han 001 (CoRR, 2020)

Software Language Comprehension using a Program-Derived Semantic Graph. - Roshni G. Iyer; Yizhou Sun; Wei Wang 010; Justin Gottschlich (CoRR, 2020)

Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning. - Haoyan Xu; Runjian Chen; Yunsheng Bai; Jie Feng 006; Ziheng Duan; Ke Luo; Yizhou Sun; Wei Wang 010 (CoRR, 2020)

Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. - Yunsheng Bai; Ken Gu; Yizhou Sun; Wei Wang 010 (CoRR, 2020)

Multivariate Time Series Classification with Hierarchical Variational Graph Pooling. - Haoyan Xu; Ziheng Duan; Yunsheng Bai; Yida Huang; Anni Ren; Qianru Yu; Qianru Zhang; Yueyang Wang; Xiaoqian Wang 001; Yizhou Sun; Wei Wang 010 (CoRR, 2020)

Unsupervised Adversarially-Robust Representation Learning on Graphs. - Jiarong Xu; Junru Chen; Yang Yang 009; Yizhou Sun; Chunping Wang 001; Jiangang Lu (CoRR, 2020)

Query-free Black-box Adversarial Attacks on Graphs. - Jiarong Xu; Yizhou Sun; Xin Jiang; Yanhao Wang; Yang Yang 009; Chunping Wang 001; Jiangang Lu (CoRR, 2020)

Finding key players in complex networks through deep reinforcement learning. - Changjun Fan; Li Zeng; Yizhou Sun; Yang-Yu Liu (Nat. Mach. Intell., 2020)

Network Embedding for Community Detection in Attributed Networks. - Heli Sun; Fang He; Jianbin Huang; Yizhou Sun; Yang Li; Chenyu Wang; Liang He 006; Zhongbin Sun; Xiaolin Jia (ACM Trans. Knowl. Discov. Data, 2020)

Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. - Yichao Zhou 001; Yu Yan; Rujun Han; J. Harry Caufield; Kai-Wei Chang; Yizhou Sun; Peipei Ping; Wei Wang 010 (AAAI, 2021)

UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference. - Kewei Cheng; Ziqing Yang 002; Ming Zhang 004; Yizhou Sun (EMNLP (1), 2021)

Relation-Guided Pre-Training for Open-Domain Question Answering. - Ziniu Hu; Yizhou Sun; Kai-Wei Chang (EMNLP (Findings), 2021)

Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks. - Xiang Li 067; Danhao Ding; Ben Kao; Yizhou Sun; Nikos Mamoulis (ICDE, 2021)

CREATe: Clinical Report Extraction and Annotation Technology. - Yichao Zhou 001; Wei-Ting Chen; Bowen Zhang 002; David Lee; J. Harry Caufield; Kai-Wei Chang; Yizhou Sun; Peipei Ping; Wei Wang 010 (ICDE, 2021)

Bi-Level Attention Graph Neural Networks. - Roshni G. Iyer; Wei Wang 010; Yizhou Sun (ICDM, 2021)

GLSearch: Maximum Common Subgraph Detection via Learning to Search. - Yunsheng Bai; Derek Xu; Yizhou Sun; Wei Wang 010 (ICML, 2021)

Coupled Graph ODE for Learning Interacting System Dynamics. - Zijie Huang 002; Yizhou Sun; Wei Wang 010 (KDD, 2021)

MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks. - Junheng Hao; Chuan Lei; Vasilis Efthymiou; Abdul Quamar; Fatma Özcan; Yizhou Sun; Wei Wang 010 (KDD, 2021)

HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding. - Song Jiang 002; Bernard Koch; Yizhou Sun (WWW, 2021)

Clinical Named Entity Recognition using Contextualized Token Representations. - Yichao Zhou 001; Chelsea Ju; J. Harry Caufield; Kevin Shih; Calvin Yu-Chian Chen; Yizhou Sun; Kai-Wei Chang; Peipei Ping; Wei Wang 010 (CoRR, 2021)

Fuzzy Logic based Logical Query Answering on Knowledge Graph. - Xuelu Chen; Ziniu Hu; Yizhou Sun (CoRR, 2021)

Deep Learning of Potential Outcomes. - Bernard Koch; Tim Sainburg; Pablo Geraldo; Song Jiang 002; Yizhou Sun; Jacob Gates Foster (CoRR, 2021)

Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks. - Atefeh Sohrabizadeh; Yunsheng Bai; Yizhou Sun; Jason Cong (CoRR, 2021)

Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks. - Yang Yang 009; Yuhong Xu; Yizhou Sun; Yuxiao Dong; Fei Wu 001; Yueting Zhuang (IEEE Trans. Knowl. Data Eng., 2021)

Fuzzy Logic Based Logical Query Answering on Knowledge Graphs. - Xuelu Chen; Ziniu Hu; Yizhou Sun (AAAI, 2022)

Towards Fine-Grained Reasoning for Fake News Detection. - Yiqiao Jin; Xiting Wang; Ruichao Yang; Yizhou Sun; Wei Wang 010; Hao Liao; Xing Xie 001 (AAAI, 2022)

GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract). - Michael Potter; Hamlin Liu; Yash Lala; Christian Loanzon; Yizhou Sun (AAAI, 2022)

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs. - Jiarong Xu; Yizhou Sun; Xin Jiang; Yanhao Wang; Chunping Wang 001; Jiangang Lu; Yang Yang 009 (AAAI, 2022)

Unsupervised Adversarially Robust Representation Learning on Graphs. - Jiarong Xu; Yang Yang 009; Junru Chen; Xin Jiang; Chunping Wang 001; Jiangang Lu; Yizhou Sun (AAAI, 2022)

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. - Zijie Huang 002; Zheng Li 018; Haoming Jiang; Tianyu Cao 001; Hanqing Lu; Bing Yin; Karthik Subbian; Yizhou Sun; Wei Wang 010 (ACL (1), 2022)

Schema-Guided Event Graph Completion. - Hongwei Wang; Zixuan Zhang; Sha Li; Jiawei Han 001; Yizhou Sun; Hanghang Tong; Joseph P. Olive; Heng Ji 001 (AKBC, 2022)

Estimating Causal Effects on Networked Observational Data via Representation Learning. - Song Jiang 002; Yizhou Sun (CIKM, 2022)

Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting. - Song Jiang 002; Tahin Syed; Xuan Zhu 002; Joshua Levy; Boris Aronchik; Yizhou Sun (CIKM, 2022)

Improving GNN-based accelerator design automation with meta learning. - Yunsheng Bai; Atefeh Sohrabizadeh; Yizhou Sun; Jason Cong (DAC, 2022)

Automated accelerator optimization aided by graph neural networks. - Atefeh Sohrabizadeh; Yunsheng Bai; Yizhou Sun; Jason Cong (DAC, 2022)

Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. - Ziniu Hu; Yichong Xu; Wenhao Yu 002; Shuohang Wang; Ziyi Yang; Chenguang Zhu 001; Kai-Wei Chang; Yizhou Sun (EMNLP, 2022)

Adaptive tracking control of unknown state target for CPSs subjected to cyberattacks. - Yizhou Sun; Ya Zhang 001 (ICARCV, 2022)

Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. - Shichang Zhang; Yozen Liu; Yizhou Sun; Neil Shah (ICLR, 2022)

RLogic: Recursive Logical Rule Learning from Knowledge Graphs. - Kewei Cheng; Jiahao Liu; Wei Wang 010; Yizhou Sun (KDD, 2022)

Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs. - Roshni G. Iyer; Yunsheng Bai; Wei Wang 010; Yizhou Sun (KDD, 2022)

Improving Multi-Task Generalization via Regularizing Spurious Correlation. - Ziniu Hu; Zhe Zhao 001; Xinyang Yi; Tiansheng Yao; Lichan Hong; Yizhou Sun; Ed H. Chi (NeurIPS, 2022)

On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs. - Arjun Subramonian; Kai-Wei Chang; Yizhou Sun (NeurIPS, 2022)

GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games. - Shichang Zhang; Yozen Liu; Neil Shah; Yizhou Sun (NeurIPS, 2022)

Multi-source Inductive Knowledge Graph Transfer. - Junheng Hao; Lu-An Tang; Yizhou Sun; Zhengzhang Chen; Haifeng Chen; Junghwan Rhee; Zhichuan Li; Wei Wang 010 (ECML/PKDD (2), 2022)

Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics. - Chunheng Jiang; Tejaswini Pedapati; Pin-Yu Chen; Yizhou Sun; Jianxi Gao (CoRR, 2022)

Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games. - Shichang Zhang; Neil Shah; Yozen Liu; Yizhou Sun (CoRR, 2022)

Subgraph Matching via Query-Conditioned Subgraph Matching Neural Networks and Bi-Level Tree Search. - Yunsheng Bai; Derek Xu; Yizhou Sun; Wei Wang 010 (CoRR, 2022)

Unit Selection: Learning Benefit Function from Finite Population Data. - Ang Li 009; Song Jiang 002; Yizhou Sun; Judea Pearl (CoRR, 2022)

Learning Probabilities of Causation from Finite Population Data. - Ang Li 009; Song Jiang 002; Yizhou Sun; Judea Pearl (CoRR, 2022)

Empowering Language Models with Knowledge Graph Reasoning for Question Answering. - Ziniu Hu; Yichong Xu; Wenhao Yu 002; Shuohang Wang; Ziyi Yang; Chenguang Zhu 001; Kai-Wei Chang; Yizhou Sun (CoRR, 2022)

Introducing Semantics into Speech Encoders. - Derek Xu; Shuyan Dong; Changhan Wang; Suyoun Kim; Zhaojiang Lin; Akshat Shrivastava; Shang-Wen Li 001; Liang-Hsuan Tseng; Alexei Baevski; Guan-Ting Lin; Hung-yi Lee; Yizhou Sun; et al. (CoRR, 2022)

Dissimilar Nodes Improve Graph Active Learning. - Zhicheng Ren; Yifu Yuan; Yuxin Wu; Xiaxuan Gao; Yewen Wang; Yizhou Sun (CoRR, 2022)

A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis. - Danfeng Guo; Zijie Huang 002; Junheng Hao; Yizhou Sun; Wei Wang 010; Demetri Terzopoulos (CoRR, 2022)

Multivariate time-series classification with hierarchical variational graph pooling. - Ziheng Duan; Haoyan Xu; Yueyang Wang; Yida Huang; Anni Ren; Zhongbin Xu; Yizhou Sun; Wei Wang 010 (Neural Networks, 2022)

PGE: Robust Product Graph Embedding Learning for Error Detection. - Kewei Cheng; Xian Li; Yifan Ethan Xu; Xin Luna Dong; Yizhou Sun (Proc. VLDB Endow., 2022)

Heterogeneous Information Networks: the Past, the Present, and the Future. - Yizhou Sun; Jiawei Han 001; Xifeng Yan; Philip S. Yu; Tianyi Wu (Proc. VLDB Endow., 2022)

Guest Editorial: Special Issue on Social Media Computing. - Guojie Song; Chuan Shi 001; Yizhou Sun; Zhiyuan Liu 001 (IEEE Trans. Big Data, 2022)

A Reliable Cooperative Fusion Positioning Methodology for Intelligent Vehicle in Non-Line-of-Sight Environments. - Yue Hu 009; Xu Li 004; Xuan Dong; Dong Kong; Qimin Xu; Yizhou Sun (IEEE Trans. Instrum. Meas., 2022)

Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark. - Carl Yang 001; Yuxin Xiao; Yu Zhang 044; Yizhou Sun; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2022)

Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. - Yiqiao Jin; Xiting Wang; Yaru Hao; Yizhou Sun; Xing Xie 001 (AAAI, 2023)

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs. - Zijie Huang 002; Daheng Wang; Binxuan Huang; Chenwei Zhang; Jingbo Shang; Yan Liang 004; Zhengyang Wang; Xian Li; Christos Faloutsos; Yizhou Sun; Wei Wang 010 (ACL (Findings), 2023)

Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. - Kewei Cheng; Xian Li; Zhengyang Wang; Chenwei Zhang; Binxuan Huang; Yifan Ethan Xu; Xin Luna Dong; Yizhou Sun (ACL (industry), 2023)

Introducing Semantics into Speech Encoders. - Derek Xu; Shuyan Dong; Changhan Wang; Suyoun Kim; Zhaojiang Lin; Bing Liu; Akshat Shrivastava; Shang-Wen Li 001; Liang-Hsuan Tseng; Guan-Ting Lin; Alexei Baevski; Hung-yi Lee; et al. (ACL (1), 2023)

Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Zirui Wang; Kai-Wei Chang; Yizhou Sun; Cordelia Schmid; David A. Ross; Alireza Fathi (CVPR, 2023)

Question-Answer Sentence Graph for Joint Modeling Answer Selection. - Roshni G. Iyer; Thuy Vu; Alessandro Moschitti; Yizhou Sun (EACL, 2023)

Robust GNN-Based Representation Learning for HLS. - Atefeh Sohrabizadeh; Yunsheng Bai; Yizhou Sun; Jason Cong (ICCAD, 2023)

Neural Compositional Rule Learning for Knowledge Graph Reasoning. - Kewei Cheng; Nesreen K. Ahmed; Yizhou Sun (ICLR, 2023)

HOPE: High-order Graph ODE For Modeling Interacting Dynamics. - Xiao Luo 001; Jingyang Yuan; Zijie Huang 002; Huiyu Jiang; Yifang Qin; Wei Ju 001; Ming Zhang 004; Yizhou Sun (ICML, 2023)

Multi-Instrument Flood Monitoring With a Distributed, Decentralized, Dynamic and Context-Aware Satellite Sensor Web. - Ben Gorr 001; 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; et al. (IGARSS, 2023)

Decentralized Market-Based Observation Assignment Strategy for Dynamic Networks in Sensor Web Mission Concepts. - Alan Aguilar Jaramillo; Ben Gorr 001; Vinay Ravindra; Cédric H. David; Molly K. Stroud; Ankur Mehta; George H. Allen; Wooyeong Cho; Kewei Cheng; Huilin Gao; Yizhou Sun; Zida Wu; et al. (IGARSS, 2023)

CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems. - Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Yizhou Sun (KDD, 2023)

Generalizing Graph ODE for Learning Complex System Dynamics across Environments. - Zijie Huang 002; Yizhou Sun; Wei Wang 010 (KDD, 2023)

CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation. - Xiao Luo 001; Haixin Wang 003; Zijie Huang 002; Huiyu Jiang; Abhijeet Gangan; Song Jiang 002; Yizhou Sun (NeurIPS, 2023)

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. - Wei Jin 009; Haitao Mao; Zheng Li 018; Haoming Jiang; Chen Luo 003; Hongzhi Wen; Haoyu Han 001; Hanqing Lu; Zhengyang Wang; Ruirui Li 002; Zhen Li; Monica Xiao Cheng; et al. (NeurIPS, 2023)

Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs. - Yunsheng Bai; Atefeh Sohrabizadeh; Zongyue Qin; Ziniu Hu; Yizhou Sun; Jason Cong (NeurIPS, 2023)

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Kai-Wei Chang; Yizhou Sun; David Ross 001; Cordelia Schmid; Alireza Fathi (NeurIPS, 2023)

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. - Song Jiang 002; Qiyue Yao; Qifan Wang 001; Yizhou Sun (WWW, 2023)

Code Recommendation for Open Source Software Developers. - Yiqiao Jin; Yunsheng Bai; Yanqiao Zhu 001; Yizhou Sun; Wei Wang 010 (WWW, 2023)

PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. - Shichang Zhang; Jiani Zhang 003; Xiang Song 003; Soji Adeshina; Da Zheng; Christos Faloutsos; Yizhou Sun (WWW, 2023)

AVIS: Autonomous Visual Information Seeking with Large Language Models. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Kai-Wei Chang; Yizhou Sun; David A. Ross; Cordelia Schmid; Alireza Fathi (CoRR, 2023)

Meta-Path-based Probabilistic Soft Logic for Drug-Target Interaction Prediction. - Shengming Zhang; Yizhou Sun (CoRR, 2023)

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. - Shichang Zhang; Atefeh Sohrabizadeh; Cheng Wan 005; Zijie Huang 002; Ziniu Hu; Yewen Wang; Yingyan Lin; Jason Cong; Yizhou Sun (CoRR, 2023)

Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test. - Arjun Subramonian; Adina Williams; Maximilian Nickel; Yizhou Sun; Levent Sagun (CoRR, 2023)

Unveiling Invariances via Neural Network Pruning. - Derek Xu; Yizhou Sun; Wei Wang 010 (CoRR, 2023)

TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems. - Zijie Huang 002; Wanjia Zhao; Jingdong Gao; Ziniu Hu; Xiao Luo 001; Yadi Cao; Yuanzhou Chen; Yizhou Sun; Wei Wang 010 (CoRR, 2023)

Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics. - Xiao Luo 001; Yiyang Gu; Huiyu Jiang; Jinsheng Huang; Wei Ju 001; Ming Zhang 004; Yizhou Sun (CoRR, 2023)

RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification. - Xiao Luo 001; Yusheng Zhao; Zhengyang Mao; Yifang Qin; Wei Ju 001; Ming Zhang 004; Yizhou Sun (Trans. Mach. Learn. Res., 2023)

Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1. - Hongzhi Yin; Yizhou Sun; Guandong Xu; Evangelos Kanoulas (ACM Trans. Inf. Syst., 2023)

Predicting metabolomic profiles from microbial composition through neural ordinary differential equations. - Tong Wang 033; Xu-Wen Wang; Kathleen A. Lee-Sarwar; Augusto A. Litonjua; Scott T. Weiss; Yizhou Sun; Sergei Maslov; Yang-Yu Liu (Nat. Mac. Intell., 2023)

Trustworthy Recommendation and Search: Introduction to the Special Section - Part 2. - Hongzhi Yin; Yizhou Sun; Guandong Xu; Evangelos Kanoulas (ACM Trans. Inf. Syst., 2023)

Detecting political biases of named entities and hashtags on Twitter. - Zhiping Xiao 001; Jeffrey Zhu; Yining Wang; Pei Zhou; Wen Hong Lam; Mason A. Porter; Yizhou Sun (EPJ Data Sci., 2023)

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. - Fred Xu; Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Shichang Zhang; Yuanzhou Chen; Yizhou Sun (ACL (Findings), 2024)

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. - Kaiqiao Han; Yi Yang 001; Zijie Huang 002; Xuan Kan; Ying Guo 003; Yang Yang 009; Lifang He 001; Liang Zhan; Yizhou Sun; Wei Wang 010; Carl Yang 001 (BHI, 2024)

Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text. - Kewei Cheng; Nesreen K. Ahmed; Theodore L. Willke; Yizhou Sun (EMNLP, 2024)

Efficient Task Transfer for HLS DSE. - Zijian Ding; Atefeh Sohrabizadeh; Weikai Li 002; Zongyue Qin; Yizhou Sun; Jason Cong (ICCAD, 2024)

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. - Yanqiao Zhu 001; Jeehyun Hwang; Keir Adams; Zhen Liu; Bozhao Nan; Brock Stenfors; Yuanqi Du; Jatin Chauhan; Olaf Wiest; Olexandr Isayev; Connor W. Coley; Yizhou Sun; et al. (ICLR, 2024)

PGODE: Towards High-quality System Dynamics Modeling. - Xiao Luo 001; Yiyang Gu; Huiyu Jiang; Hang Zhou 008; Jinsheng Huang; Wei Ju 001; Zhiping Xiao 001; Ming Zhang 004; Yizhou Sun (ICML, 2024)

Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks. - Haoyu Li; Shichang Zhang; Longwen Tang; Mathieu Bauchy; Yizhou Sun (ICML, 2024)

Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction. - Arjun Subramonian; Levent Sagun; Yizhou Sun (ICML, 2024)

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. - Xiaoxuan Wang; Ziniu Hu; Pan Lu; Yanqiao Zhu 001; Jieyu Zhang 001; Satyen Subramaniam; Arjun R. Loomba; Shichang Zhang; Yizhou Sun; Wei Wang 010 (ICML, 2024)

A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (Extended Abstract). - Song Jiang 002; Qiyue Yao; Qifan Wang 001; Yizhou Sun (IJCAI, 2024)

Learning to Compare Hardware Designs for High-Level Synthesis. - Yunsheng Bai; Atefeh Sohrabizadeh; Zijian Ding; Rongjian Liang; Weikai Li 002; Ding Wang; Haoxing Ren; Yizhou Sun; Jason Cong (MLCAD, 2024)

Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis. - Zongyue Qin; Yunsheng Bai; Atefeh Sohrabizadeh; Zijian Ding; Ziniu Hu; Yizhou Sun; Jason Cong (MLCAD, 2024)

Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations. - Zhicheng Ren; Zhiping Xiao 001; Yizhou Sun (MMSR@CIKM, 2024)

RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models. - Song Jiang 002; Zahra Shakeri; Aaron Chan; Maziar Sanjabi; Hamed Firooz; Yinglong Xia; Bugra Akyildiz; Yizhou Sun; Jinchao Li; Qifan Wang 001; Asli Celikyilmaz (NAACL-HLT, 2024)

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling. - Zijie Huang 002; Wanjia Zhao; Jingdong Gao; Ziniu Hu; Xiao Luo 001; Yadi Cao; Yuanzhou Chen; Yizhou Sun; Wei Wang 010 (NeurIPS, 2024)

Non-Euclidean Mixture Model for Social Network Embedding. - Roshni G. Iyer; Yewen Wang; Wei Wang 010; Yizhou Sun (NeurIPS, 2024)

Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks. - Arjun Subramonian; Jian Kang 008; Yizhou Sun (NeurIPS, 2024)

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation. - Arvind Vepa; Zukang Yang; Andrew Choi; Jungseock Joo; Fabien Scalzo; Yizhou Sun (NeurIPS, 2024)

Laplacian Score Benefit Adaptive Filter Selection for Graph Neural Networks. - Yewen Wang; Shichang Zhang; John (Junghoo) Cho; Yizhou Sun (SDM, 2024)

Fast Inference of Removal-Based Node Influence. - Weikai Li 002; Zhiping Xiao 001; Xiao Luo 001; Yizhou Sun (WWW, 2024)

Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. - Zijie Huang 002; Jeehyun Hwang; Junkai Zhang; Jinwoo Baik; Weitong Zhang; Dominik Wodarz; Yizhou Sun; Quanquan Gu; Wei Wang 010 (WWW, 2024)

Prediction of systemic lupus erythematosus-related genes based on graph attention network and deep neural network. - Fang Fang; Yizhou Sun (Comput. Biol. Medicine, 2024)

An Evaluation of Large Language Models in Bioinformatics Research. - Hengchuang Yin; Zhonghui Gu; Fanhao Wang; Yiparemu Abuduhaibaier; Yanqiao Zhu 001; Xinming Tu; Xian-Sheng Hua 001; Xiao Luo 001; Yizhou Sun (CoRR, 2024)

Hierarchical Attention Models for Multi-Relational Graphs. - Roshni G. Iyer; Wei Wang 010; Yizhou Sun (CoRR, 2024)

Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. - Qi Zhu 008; Da Zheng; Xiang Song 003; Shichang Zhang; Bowen Jin; Yizhou Sun; George Karypis (CoRR, 2024)

HMT: Hierarchical Memory Transformer for Long Context Language Processing. - Zifan He; Zongyue Qin; Neha Prakriya; Yizhou Sun; Jason Cong (CoRR, 2024)

Mixture of In-Context Prompters for Tabular PFNs. - Derek Xu; Olcay Cirit; Reza Asadi; Yizhou Sun; Wei Wang 010 (CoRR, 2024)

SparseCL: Sparse Contrastive Learning for Contradiction Retrieval. - Haike Xu; Zongyu Lin; Yizhou Sun; Kai-Wei Chang; Piotr Indyk (CoRR, 2024)

Hierarchical Compression of Text-Rich Graphs via Large Language Models. - Shichang Zhang; Da Zheng; Jiani Zhang 003; Qi Zhu 008; Xiang Song 003; Soji Adeshina; Christos Faloutsos; George Karypis; Yizhou Sun (CoRR, 2024)

Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference. - Zongyue Qin; Ziniu Hu; Zifan He; Neha Prakriya; Jason Cong; Yizhou Sun (CoRR, 2024)

Relational Database Augmented Large Language Model. - Zongyue Qin; Chen Luo 003; Zhengyang Wang; Haoming Jiang; Yizhou Sun (CoRR, 2024)

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs. - Kewei Cheng; Jingfeng Yang 001; Haoming Jiang; Zhengyang Wang; Binxuan Huang; Ruirui Li 002; Shiyang Li; Zheng Li 018; Yifan Gao 001; Xian Li; Bing Yin; Yizhou Sun (CoRR, 2024)

Inverse designing metamaterials with programmable nonlinear functional responses in graph space. - Marco Maurizi; Derek Xu; Yu-Tong Wang; Desheng Yao; David Hahn; Mourad Oudich; Anish Satpati; Mathieu Bauchy; Wei Wang 010; Yizhou Sun; Yun Jing; Xiaoyu Rayne Zheng (CoRR, 2024)

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey. - Haixin Wang 003; Yadi Cao; Zijie Huang 002; Yuxuan Liu; Peiyan Hu; Xiao Luo 001; Zezheng Song; Wanjia Zhao; Jilin Liu; Jinan Sun; Shikun Zhang; Long Wei; et al. (CoRR, 2024)

Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference. - Zongyue Qin; Zifan He; Neha Prakriya; Jason Cong; Yizhou Sun (CoRR, 2024)

Do Contemporary CATE Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark. - Haining Yu; Yizhou Sun (CoRR, 2024)

Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics. - Fang Sun; Zijie Huang 002; Haixin Wang 003; Yadi Cao; Xiao Luo 001; Wei Wang 010; Yizhou Sun (CoRR, 2024)

Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation. - Arvind Murari Vepa; Zukang Yang; Andrew Choi; Jungseock Joo; Fabien Scalzo; Yizhou Sun (CoRR, 2024)

Does Few-Shot Learning Help LLM Performance in Code Synthesis? - Derek Xu; Tong Xie; Botao Xia; Haoyu Li; Yunsheng Bai; Yizhou Sun; Wei Wang 010 (CoRR, 2024)

STIV: Scalable Text and Image Conditioned Video Generation. - Zongyu Lin; Wei Liu; Chen Chen 005; Jiasen Lu; Wenze Hu; Tsu-Jui Fu; Jesse Allardice; Zhengfeng Lai; Liangchen Song; Bowen Zhang 002; Cha Chen; Yiran Fei; et al. (CoRR, 2024)

Deciphering the abundance of immune cells in glomerular endothelium of Alport syndrome kidneys using the deconvolution algorithm CONVdeconv. - Yizhou Sun; Jiao Liu; Fang Fang; Yaoguo Huang (Future Gener. Comput. Syst., 2024)

Motif-Driven Contrastive Learning of Graph Representations. - Shichang Zhang; Ziniu Hu; Arjun Subramonian; Yizhou Sun (IEEE Trans. Knowl. Data Eng., 2024)

Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey. - Kewei Cheng; Nesreen K. Ahmed; Ryan A. Rossi; Theodore L. Willke; Yizhou Sun (ACM Trans. Knowl. Discov. Data, 2024)

Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks. - Shixuan Liu; Changjun Fan; Kewei Cheng; Yunfei Wang; Peng Cui 001; Yizhou Sun; Zhong Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis. - Weikai Li 002; Ding Wang; Zijian Ding; Atefeh Sohrabizadeh; Zongyue Qin; Jason Cong; Yizhou Sun (AAAI, 2025)

Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation. - Yanna Ding; Zijie Huang 002; Xiao Shou; Yihang Guo; Yizhou Sun; Jianxi Gao (AAAI, 2025)

Dynamic-Width Speculative Beam Decoding for LLM Inference. - Zongyue Qin; Zifan He; Neha Prakriya; Jason Cong; Yizhou Sun (AAAI, 2025)

Open-Set Living Need Prediction with Large Language Models. - Xiaochong Lan; Jie Feng 002; Yizhou Sun; Chen Gao 001; Jiahuan Lei; Xinleishi Xinleishi; Hengliang Luo; Yong Li 008 (ACL (Findings), 2025)

V-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning. - Zongyu Lin; Zhikun Xu; Xiaohan Song; Yixin Wan; Xingcheng Yao; Tsung-Han Lin; Selina Song; Pranav Subbaraman; Ben Zhou; Kai-Wei Chang; Yizhou Sun (ACL (Findings), 2025)

Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection. - Mingyu Derek Ma; Yanna Ding; Zijie Huang 002; Jianxi Gao; Yizhou Sun; Wei Wang 010 (ACL (1), 2025)

Automated Molecular Concept Generation and Labeling with Large Language Models. - Zimin Zhang; Qianli Wu; Botao Xia; Fang Sun; Ziniu Hu; Yizhou Sun; Shichang Zhang (COLING, 2025)

VideoPhy: Evaluating Physical Commonsense for Video Generation. - Hritik Bansal; Zongyu Lin; Tianyi Xie; Zeshun Zong; Michal Yarom; Yonatan Bitton; Chenfanfu Jiang; Yizhou Sun; Kai-Wei Chang; Aditya Grover (ICLR, 2025)

Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference. - Zongyue Qin; Ziniu Hu; Zifan He; Neha Prakriya; Jason Cong; Yizhou Sun (ICLR, 2025)

Mixture of In-Context Prompters for Tabular PFNs. - Derek Qiang Xu; F. Olcay Cirit; Reza Asadi; Yizhou Sun; Wei Wang 010 (ICLR, 2025)

Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark. - Haining Yu; Yizhou Sun (ICLR, 2025)

Future Matters for Present: Towards Effective Physical Simulation over Meshes. - Xiao Luo 001; Junyu Luo 002; Huiyu Jiang; Hang Zhou 008; Zhiping Xiao 001; Wei Ju 001; Carl Ji Yang; Ming Zhang 004; Yizhou Sun (KDD (1), 2025)

Neural Network Pruning for Invariance Learning. - Derek Xu; Yuanzhou Chen; Yizhou Sun; Wei Wang 010 (KDD (1), 2025)

HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing. - Zifan He; Yingqi Cao; Zongyue Qin; Neha Prakriya; Yizhou Sun; Jason Cong (NAACL (Long Papers), 2025)

How Do Large Language Models Perform in Dynamical System Modeling. - Xiao Luo 001; Binqi Chen; Haixin Wang 003; Zhiping Xiao 001; Ming Zhang 004; Yizhou Sun (NAACL (Findings), 2025)

Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics. - Fang Sun; Zijie Huang 002; Haixin Wang 003; Huacong Tang; Xiao Luo 001; Wei Wang 010; Yizhou Sun (Trans. Mach. Learn. Res., 2025)

QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search. - Zongyu Lin; Yao Tang; Xingcheng Yao; Da Yin; Ziniu Hu; Yizhou Sun; Kai-Wei Chang (CoRR, 2025)

Protein Large Language Models: A Comprehensive Survey. - Yijia Xiao; Wanjia Zhao; Junkai Zhang; Yiqiao Jin; Han Zhang; Zhicheng Ren; Renliang Sun; Haixin Wang 003; Guancheng Wan; Pan Lu; Xiao Luo 001; Yu Zhang 044; et al. (CoRR, 2025)

A Social Dynamical System for Twitter Analysis. - Zhiping Xiao 001; Xinyu Wang; Yifang Qin; Zijie Huang 002; Mason A. Porter; Yizhou Sun (CoRR, 2025)

How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence. - Hongzhe Du; Weikai Li 002; Min Cai; Karim Saraipour; Zimin Zhang; Himabindu Lakkaraju; Yizhou Sun; Shichang Zhang (CoRR, 2025)

From Coarse to Fine: A Physics-Informed Self-Guided Flow Diffusion Model. - Ruoyan Li; Zijie Huang 002; Yizhou Sun; Wei Wang 010 (CoRR, 2025)

Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction. - Zongyue Qin; Shichang Zhang; Mingxuan Ju; Tong Zhao 003; Neil Shah; Yizhou Sun (CoRR, 2025)

Beyond the Time Domain: Recent Advances on Frequency Transforms in Time Series Analysis. - Qianru Zhang; Peng Yang 016; Honggang Wen; Xinzhu Li; Haixin Wang 003; Fang Sun; Zezheng Song; Zhichen Lai; Rui Ma; Ruihua Han; Tailin Wu; Siu-Ming Yiu; et al. (CoRR, 2025)

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. - Kun Wang 056; Guibin Zhang; Zhenhong Zhou; Jiahao Wu; Miao Yu; Shiqian Zhao; Chenlong Yin; Jinhu Fu; Yibo Yan; Hanjun Luo; Liang Lin; Zhihao Xu; et al. (CoRR, 2025)

Agree to Disagree? A Meta-Evaluation of LLM Misgendering. - Arjun Subramonian; Vagrant Gautam; Preethi Seshadri; Dietrich Klakow; Kai-Wei Chang; Yizhou Sun (CoRR, 2025)

LIFT: LLM-Based Pragma Insertion for HLS via GNN Supervised Fine-Tuning. - Neha Prakriya; Zijian Ding; Yizhou Sun; Jason Cong (CoRR, 2025)

LLM-DSE: Searching Accelerator Parameters with LLM Agents. - Hanyu Wang; Xinrui Wu; Zijian Ding; Su Zheng; Chengyue Wang 002; Tony Nowatzki; Yizhou Sun; Jason Cong (CoRR, 2025)

Learning Probabilities of Causation from Finite Population Data. - Shuai Wang; Song Jiang 002; Yizhou Sun; Judea Pearl; Ang Li 009 (CoRR, 2025)

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation. - Haixin Wang 003; Ruoyan Li; Fred Xu; Fang Sun; Kaiqiao Han; Zijie Huang 002; Guancheng Wan; Ching Chang; Xiao Luo 001; Wei Wang 010; Yizhou Sun (CoRR, 2025)

Lossless Token Sequence Compression via Meta-Tokens. - John Harvill; Ziwei Fan 001; Hao Wang 014; Yizhou Sun; Hao Ding 003; Luke Huan; Anoop Deoras (CoRR, 2025)

Open-Set Living Need Prediction with Large Language Models. - Xiaochong Lan; Jie Feng 002; Yizhou Sun; Chen Gao 001; Jiahuan Lei; Xinlei Shi; Hengliang Luo; Yong Li 008 (CoRR, 2025)

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion. - Fred Xu; Song Jiang 002; Zijie Huang 002; Xiao Luo 001; Shichang Zhang; Adrian Chen; Yizhou Sun (CoRR, 2025)

Iceberg: Enhancing HLS Modeling with Synthetic Data. - Zijian Ding; Tung Nguyen; Weikai Li 002; Aditya Grover; Yizhou Sun; Jason Cong (CoRR, 2025)