Jundong Li

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Huan LiuProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
Jiliang TangMichigan 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
Kaize DingArizona State UniversityVerified email at asu.edu
Ruocheng GuoVerified email at cityu.edu.hk
Minnan LuoProfessor, Xi'an Jiaotong UniversityVerified email at xjtu.edu.cn
Liang WuArizona State UniversityVerified email at asu.edu
Harsh DaniApple IncVerified email at apple.com
Junliang YuThe University of QueenslandVerified email at uq.edu.au
Fred MorstatterUniversity of Southern California, Information Sciences InstituteVerified email at usc.edu
Hongzhi YinFuture Fellow and Associate Professor, University of QueenslandVerified email at uq.edu.au
Chenghao LiuSalesforce Research AsiaVerified email at salesforce.com
Lu ChengIncoming Assistant Professor, UIC CSVerified email at asu.edu
Osmar ZaianeUniversity of Alberta - Alberta Machine Intelligence Institute, Canada CIFAR AI ChairVerified email at cs.ualberta.ca
Yi ChangJilin UniversityVerified email at acm.org
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
Chen ChenArizona State UniversityVerified email at asu.edu
Yushun DongUniversity of VirginiaVerified email at virginia.edu

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	1637	2018
Label Informed Attributed Network Embedding X Huang, J Li, X Hu ACM International Conference on Web Search and Data Mining (WSDM), 2017	417	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	286	2017
Accelerated Attributed Network Embedding X Huang, J Li, X Hu SIAM International Conference on Data Mining (SDM), 2017	271	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	186	2020
Challenges of Feature Selection for Big Data Analytics J Li, H Liu IEEE Intelligent Systems 32 (2), 9-15, 2017	186	2017
Multi-Label Informed Feature Selection L Jian, J Li, K Shu, H Liu International Joint Conference on Artificial Intelligence (IJCAI), 2016	140	2016
Deep Anomaly Detection on Attributed Networks K Ding, J Li, R Bhanushali, H Liu SIAM International Conference on Data Mining (SDM), 2019	131	2019
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	100	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	85	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	81	2017
Robust Unsupervised Feature Selection on Networked Data J Li, X Hu, L Wu, H Liu SIAM International Conference on Data Mining (SDM), 2016	75	2016
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	69	2018
Interactive Anomaly Detection on Attributed Networks K Ding, J Li, H Liu ACM International Conference on Web Search and Data Mining (WSDM), 2019	68	2019
Sentiment Informed Cyberbullying Detection in Social Media H Dani, J Li, H Liu European Conference on Machine Learning and Principles and Practice of …, 2017	61	2017
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	60	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	59	2021
Personalized Privacy-Preserving Social Recommendation X Meng, S Wang, K Shu, J Li, B Chen, H Liu, Y Zhang AAAI Conference on Artificial Intelligence (AAAI), 2018	59	2018
Multi-Layered Network Embedding J Li, C Chen, H Tong, H Liu SIAM International Conference on Data Mining (SDM), 2018	57	2018
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	55	2018

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