Jundong Li

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	All	Since 2020
Citations	15325	13519
h-index	60	56
i10-index	128	122

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Huan LiuRegents Professor, Arizona State UniversityVerified email at asu.edu
Yushun DongAssistant Professor, Department of Computer Science, Florida State UniversityVerified email at fsu.edu
Song WangPh.D. Student, University of VirginiaVerified email at virginia.edu
Kaize DingAssistant Professor of Stats & Data Science, Northwestern UniversityVerified email at northwestern.edu
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
Jing MaCase Western Reserve UniversityVerified email at case.edu
Ruocheng GuoByteDance Research, LondonVerified email at bytedance.com
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
Xiao HuangAssistant Professor at The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
kewei chengPh.D. Student at UCLAVerified email at g.ucla.edu
Chen ChenUniversity of VirginiaVerified email at virginia.edu
Liang WuLinkedInVerified email at linkedin.com
Junliang YuThe University of QueenslandVerified email at uq.edu.au
Hongzhi YinProfessor and ARC Future Fellow, University of QueenslandVerified email at uq.edu.au
Lu ChengAssistant Professor, UIC CSVerified email at uic.edu
Binchi ZhangUniversity of VirginiaVerified email at virginia.edu
Yaochen ZhuUniversity of VirginiaVerified email at virginia.edu
Fred MorstatterUniversity of Southern California, Information Sciences InstituteVerified email at usc.edu
Ninghao LiuAssistant Professor, University of GeorgiaVerified email at uga.edu
Harsh DaniApple IncVerified email at apple.com

Jundong Li

Assistant Professor, University of Virginia

Verified email at virginia.edu - Homepage

AI Machine Learning Data Mining Graph Learning


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Feature Selection: A Data Perspective J Li, K Cheng, S Wang, F Morstatter, RP Trevino, J Tang, H Liu ACM Computing Surveys 50 (6), 94, 2018	3690	2018
Label Informed Attributed Network Embedding X Huang, J Li, X Hu ACM International Conference on Web Search and Data Mining (WSDM), 2017	564	2017
A Survey of Learning Causality with Data: Problems and Methods R Guo, L Cheng, J Li, PR Hahn, H Liu ACM Computing Surveys, 2020	530	2020
Deep Anomaly Detection on Attributed Networks K Ding, J Li, R Bhanushali, H Liu SIAM International Conference on Data Mining (SDM), 2019	519	2019
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation J Yu, H Yin, J Li, Q Wang, NQV Hung, X Zhang The Web Conference (WWW), 413-424, 2021	494	2021
Attributed Network Embedding for Learning in a Dynamic Environment J Li, H Dani, X Hu, J Tang, Y Chang, H Liu ACM International Conference on Information and Knowledge Management (CIKM), 2017	416	2017
Accelerated Attributed Network Embedding X Huang, J Li, X Hu SIAM International Conference on Data Mining (SDM), 2017	367	2017
Self-Supervised Learning for Recommender Systems: A Survey J Yu, H Yin, X Xia, T Chen, J Li, Z Huang IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023	320	2023
Challenges of Feature Selection for Big Data Analytics J Li, H Liu IEEE Intelligent Systems 32 (2), 9-15, 2017	282	2017
Line Graph Neural Networks for Link Prediction L Cai, J Li, J Wang, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 44 (9 …, 2022	260	2022
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification K Ding, J Wang, J Li, D Li, H Liu Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020	254	2020
Radar: Residual Analysis for Anomaly Detection in Attributed Networks J Li, H Dani, X Hu, H Liu International Joint Conference on Artificial Intelligence (IJCAI), 2017	250	2017
Multi-Label Informed Feature Selection L Jian, J Li, K Shu, H Liu International Joint Conference on Artificial Intelligence (IJCAI), 2016	238	2016
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks Z Peng, M Luo, J Li, H Liu, Q Zheng International Joint Conference on Artificial Intelligence (IJCAI), 2018	202	2018
Enhancing Social Recommendation with Adversarial Graph Convolutional Networks J Yu, H Yin, J Li, M Gao, Z Huang, L Cui IEEE Transactions on Knowledge and Data Engineering (TKDE) 34 (8), 3727-3739, 2022	196	2022
Interactive Anomaly Detection on Attributed Networks K Ding, J Li, H Liu ACM International Conference on Web Search and Data Mining (WSDM), 2019	183	2019
Graph Prototypical Networks for Few-Shot Learning on Attributed Networks K Ding, J Wang, J Li, K Shu, C Liu, H Liu ACM International Conference on Information & Knowledge Management (CIKM …, 2020	164	2020
TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark S Feng, H Wan, N Wang, J Li, M Luo ACM International Conference on Information and Knowledge Management (CIKM …, 2021	153	2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks Y Dong, N Liu, J Brian, J Li The Web Conference (WWW), 2022	145	2022
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation J Yu, M Gao, J Li, H Yin, H Liu ACM International Conference on Information and Knowledge Management (CIKM), 2018	144	2018

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