Jundong Li

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	All	Since 2018
Citations	7465	7164
h-index	40	40
i10-index	81	76

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Huan LiuRegents Professor of CSE, Arizona State UniversityVerified email at asu.edu
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
Kaize DingArizona State UniversityVerified email at asu.edu
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
Minnan LuoProfessor, Xi'an Jiaotong UniversityVerified email at xjtu.edu.cn
Ruocheng GuoBytedance Research, LondonVerified email at bytedance.com
Yushun DongUniversity of VirginiaVerified email at virginia.edu
Liang WuArizona State UniversityVerified email at asu.edu
Junliang YuThe University of QueenslandVerified email at uq.edu.au
Chen ChenUniversity of VirginiaVerified email at virginia.edu
Hongzhi YinFuture Fellow and Associate Professor, University of QueenslandVerified email at uq.edu.au
Harsh DaniApple IncVerified email at apple.com
Fred MorstatterUniversity of Southern California, Information Sciences InstituteVerified email at usc.edu
Jing MaUniversity of VirginiaVerified email at virginia.edu
Chenghao LiuSalesforce Research AsiaVerified email at salesforce.com
Yi ChangJilin UniversityVerified email at acm.org
Lu ChengAssistant Professor, UIC CSVerified email at uic.edu
Min Gao (高旻)School of Big Data and Software Engineering, Chongqing University (重庆大学大数据与软件学院)Verified email at cqu.edu.cn

Jundong Li

Assistant Professor, University of Virginia

Verified email at virginia.edu - Homepage

Feature Selection Data Mining Machine Learning Graph Mining Causal Inference


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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	2137	2018
Label Informed Attributed Network Embedding X Huang, J Li, X Hu ACM International Conference on Web Search and Data Mining (WSDM), 2017	463	2017
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	334	2017
Accelerated Attributed Network Embedding X Huang, J Li, X Hu SIAM International Conference on Data Mining (SDM), 2017	300	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	283	2020
Challenges of Feature Selection for Big Data Analytics J Li, H Liu IEEE Intelligent Systems 32 (2), 9-15, 2017	216	2017
Deep Anomaly Detection on Attributed Networks K Ding, J Li, R Bhanushali, H Liu SIAM International Conference on Data Mining (SDM), 2019	209	2019
Multi-Label Informed Feature Selection L Jian, J Li, K Shu, H Liu International Joint Conference on Artificial Intelligence (IJCAI), 2016	168	2016
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	150	2021
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	127	2017
Unsupervised Streaming Feature Selection in Social Media J Li, X Hu, J Tang, H Liu ACM International on Conference on Information and Knowledge Management (CIKM), 2015	99	2015
Gleaning Wisdom From The Past: Early Detection of Emerging Rumors in Social Media L Wu, J Li, X Hu, H Liu SIAM International Conference on Data Mining (SDM), 2017	95	2017
Interactive Anomaly Detection on Attributed Networks K Ding, J Li, H Liu ACM International Conference on Web Search and Data Mining (WSDM), 2019	92	2019
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	91	2018
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	88	2020
XBully: Cyberbullying Detection within a Multi-Modal Context L Cheng, J Li, YN Silva, H Hall, Deborah, Liu ACM International Conference on Web Search and Data Mining (WSDM), 2019	85	2019
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	82	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	81	2022
Robust Unsupervised Feature Selection on Networked Data J Li, X Hu, L Wu, H Liu SIAM International Conference on Data Mining (SDM), 2016	81	2016
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	75	2020

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