Jundong Li

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

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Jundong Li

Assistant Professor, University of Virginia

Dirección de correo verificada de virginia.edu - Página principal

AI Machine Learning Data Mining Graph Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	3552	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	505	2020
Deep Anomaly Detection on Attributed Networks K Ding, J Li, R Bhanushali, H Liu SIAM International Conference on Data Mining (SDM), 2019	488	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	459	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	412	2017
Accelerated Attributed Network Embedding X Huang, J Li, X Hu SIAM International Conference on Data Mining (SDM), 2017	363	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	283	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	243	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	240	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	238	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	194	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	188	2022
Interactive Anomaly Detection on Attributed Networks K Ding, J Li, H Liu ACM International Conference on Web Search and Data Mining (WSDM), 2019	175	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	150	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	144	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	144	2018
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks Y Dong, N Liu, J Brian, J Li The Web Conference (WWW), 2022	138	2022

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