Jundong Li

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Huan LiuRegents Professor, Arizona State UniversityEmail confirmado em asu.edu
Yushun DongAssistant Professor, Department of Computer Science, Florida State UniversityEmail confirmado em fsu.edu
Song WangPh.D. Student, University of VirginiaEmail confirmado em virginia.edu
Kaize DingAssistant Professor of Stats & Data Science, Northwestern UniversityEmail confirmado em northwestern.edu
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityEmail confirmado em rice.edu
Jing MaCase Western Reserve UniversityEmail confirmado em case.edu
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityEmail confirmado em msu.edu
Ruocheng GuoEmail confirmado em bytedance.com
Xiao HuangAssistant Professor at The Hong Kong Polytechnic UniversityEmail confirmado em comp.polyu.edu.hk
kewei chengPh.D. Student at UCLAEmail confirmado em g.ucla.edu
Chen ChenUniversity of VirginiaEmail confirmado em virginia.edu
Liang WuCoupangEmail confirmado em coupang.com
Junliang YuThe University of QueenslandEmail confirmado em uq.edu.au
Binchi ZhangUniversity of VirginiaEmail confirmado em virginia.edu
Hongzhi YinProfessor and ARC Future Fellow, University of QueenslandEmail confirmado em uq.edu.au
Lu ChengAssistant Professor, UIC CSEmail confirmado em uic.edu
Yaochen ZhuUniversity of VirginiaEmail confirmado em virginia.edu
Fred MorstatterUniversity of Southern California, Information Sciences InstituteEmail confirmado em usc.edu
Ninghao LiuAssistant Professor, University of GeorgiaEmail confirmado em uga.edu
Harsh DaniApple IncEmail confirmado em apple.com

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Jundong Li

Assistant Professor, University of Virginia

Email confirmado em virginia.edu - Página inicial

AI Machine Learning Data Mining Graph Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	3724	2018
Label Informed Attributed Network Embedding X Huang, J Li, X Hu ACM International Conference on Web Search and Data Mining (WSDM), 2017	568	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	541	2020
Deep Anomaly Detection on Attributed Networks K Ding, J Li, R Bhanushali, H Liu SIAM International Conference on Data Mining (SDM), 2019	526	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	505	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	420	2017
Accelerated Attributed Network Embedding X Huang, J Li, X Hu SIAM International Conference on Data Mining (SDM), 2017	368	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	330	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	267	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	260	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	255	2017
Multi-Label Informed Feature Selection L Jian, J Li, K Shu, H Liu International Joint Conference on Artificial Intelligence (IJCAI), 2016	237	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	209	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	198	2022
Interactive Anomaly Detection on Attributed Networks K Ding, J Li, H Liu ACM International Conference on Web Search and Data Mining (WSDM), 2019	184	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	167	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	158	2021
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	148	2018
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks Y Dong, N Liu, J Brian, J Li The Web Conference (WWW), 2022	143	2022

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