Jundong Li

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Citazioni	14406	13532
Indice H	59	58
i10-index	122	117

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108 articoli

13 articoli

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

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Jundong Li

Assistant Professor, University of Virginia

Email verificata su virginia.edu - Home page

AI Machine Learning Data Mining Graph Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	3509	2018
Label Informed Attributed Network Embedding X Huang, J Li, X Hu ACM International Conference on Web Search and Data Mining (WSDM), 2017	559	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	500	2020
Deep Anomaly Detection on Attributed Networks K Ding, J Li, R Bhanushali, H Liu SIAM International Conference on Data Mining (SDM), 2019	481	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	456	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	410	2017
Accelerated Attributed Network Embedding X Huang, J Li, X Hu SIAM International Conference on Data Mining (SDM), 2017	362	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	278	2023
Challenges of Feature Selection for Big Data Analytics J Li, H Liu IEEE Intelligent Systems 32 (2), 9-15, 2017	274	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	239	2022
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	239	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	234	2020
Multi-Label Informed Feature Selection L Jian, J Li, K Shu, H Liu International Joint Conference on Artificial Intelligence (IJCAI), 2016	233	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	192	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	184	2022
Interactive Anomaly Detection on Attributed Networks K Ding, J Li, H Liu ACM International Conference on Web Search and Data Mining (WSDM), 2019	173	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	149	2020
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
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	142	2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks Y Dong, N Liu, J Brian, J Li The Web Conference (WWW), 2022	137	2022

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