Jundong Li

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Citations	10012	9685
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Huan LiuRegents Professor, Arizona State UniversityVerified email at asu.edu
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
Kaize DingAssistant Professor of Stats & Data Science, Northwestern UniversityVerified email at asu.edu
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
Yushun DongUniversity of VirginiaVerified email at virginia.edu
Xiao HuangAssistant Professor at The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Minnan LuoProfessor, Xi'an Jiaotong UniversityVerified email at xjtu.edu.cn
Ruocheng GuoByteDance Research, LondonVerified email at bytedance.com
kewei chengPh.D. Student at UCLAVerified email at g.ucla.edu
Jing MaCase Western Reserve UniversityVerified email at case.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
Song WangPhD. Student, University of VirginiaVerified email at virginia.edu
Hongzhi YinARC Future Fellow and 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
Lu ChengAssistant Professor, UIC CSVerified email at uic.edu
Chenghao LiuSalesforce Research AsiaVerified email at salesforce.com
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

AI Machine Learning Data Mining Graph Mining


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	2661	2018
Label Informed Attributed Network Embedding X Huang, J Li, X Hu ACM International Conference on Web Search and Data Mining (WSDM), 2017	515	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	373	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	369	2020
Accelerated Attributed Network Embedding X Huang, J Li, X Hu SIAM International Conference on Data Mining (SDM), 2017	344	2017
Deep Anomaly Detection on Attributed Networks K Ding, J Li, R Bhanushali, H Liu SIAM International Conference on Data Mining (SDM), 2019	313	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	266	2021
Challenges of Feature Selection for Big Data Analytics J Li, H Liu IEEE Intelligent Systems 32 (2), 9-15, 2017	241	2017
Multi-Label Informed Feature Selection L Jian, J Li, K Shu, H Liu International Joint Conference on Artificial Intelligence (IJCAI), 2016	191	2016
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	170	2017
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	140	2020
Interactive Anomaly Detection on Attributed Networks K Ding, J Li, H Liu ACM International Conference on Web Search and Data Mining (WSDM), 2019	130	2019
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	127	2022
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	126	2018
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	121	2015
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	116	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	114	2018
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	107	2020
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	105	2023
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	103	2019

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