Chao Huang

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Lianghao XiaPostdoctoral Fellow, University of Hong KongDirección de correo verificada de hku.hk
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameDirección de correo verificada de nd.edu
Chuxu ZhangAssociate Professor of CSE, University of Connecticut (UConn)Dirección de correo verificada de uconn.edu
Dawei YinSenior Director of Search Science at Baidu, Inc.Dirección de correo verificada de baidu.com
Wei WeiUniversity of Hong KongDirección de correo verificada de connect.hku.hk
Yuhao YangUniversity of Hong KongDirección de correo verificada de connect.hku.hk
Xubin RenUniversity of Hong KongDirección de correo verificada de connect.hku.hk
Jiabin TangUniversity of Hong KongDirección de correo verificada de connect.hku.hk
Yuxiao DongCS, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Jian PeiArthur S. Pearse Distinguished Professor, Duke UniversityDirección de correo verificada de cs.sfu.ca
Junbo Zhang（张钧波）JD Intelligent Cities Research | JD TechnologyDirección de correo verificada de jd.com
Yanfang (Fanny) YeGalassi Family Collegiate Professor in Computer Science and Engineering, University of Notre DameDirección de correo verificada de nd.edu
Meng JiangUniversity of Notre DameDirección de correo verificada de nd.edu
Ben KaoThe University of Hong KongDirección de correo verificada de cs.hku.hk
Gregory MadeyResearch Professor of Computer Science & Engineering, University of Notre DameDirección de correo verificada de nd.edu
Xiangji Huang (Jimmy Huang)Tier I York Research Chair, Professor & ACM Distinguished Scientist York University CanadaDirección de correo verificada de yorku.ca
Ananthram SwamiArmy Research Laboratory

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Chao Huang

Assistant Professor of Computer Science, University of Hong Kong

Dirección de correo verificada de hku.hk - Página principal

Graph Learning Spatio-Temporal Data Mining Recommendation Large Language Models


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Heterogeneous graph neural network C Zhang, D Song, C Huang, A Swami, NV Chawla KDD 2019, 2019	1438	2019
Hypergraph Contrastive Collaborative Filtering L Xia, C Huang, Y Xu, J Zhao, D Yin, JX Huang SIGIR 2022, 2022	281	2022
Knowledge Graph Contrastive Learning for Recommendation Y Yang, C Huang, L Xia, C Li SIGIR 2022, 2022	278	2022
Few-shot knowledge graph completion C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla AAAI 2020, 2020	218	2020
Knowledge-enhanced hierarchical graph transformer network for multi-behavior recommendation L Xia, C Huang, Y Xu, P Dai, X Zhang, H Yang, J Pei, L Bo AAAI 2021, 2021	194	2021
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation X Cai, C Huang, L Xia, X Ren ICLR 2023, 2023	193	2023
Traffic flow forecasting with spatial-temporal graph diffusion network X Zhang, C Huang, Y Xu, L Xia, P Dai, L Bo, J Zhang, Y Zheng AAAI 2021, 2021	184	2021
Knowledge-aware coupled graph neural network for social recommendation C Huang, H Xu, Y Xu, P Dai, L Xia, M Lu, L Bo, H Xing, X Lai, Y Ye AAAI 2021, 2021	181	2021
Graph meta network for multi-behavior recommendation L Xia, Y Xu, C Huang, P Dai, L Bo SIGIR 2021, 2021	175	2021
DeepCrime: Attentive hierarchical recurrent networks for crime prediction C Huang, J Zhang, Y Zheng, NV Chawla CIKM 2018, 2018	174	2018
Contrastive Meta Learning with Behavior Multiplicity for Recommendation W Wei, C Huang, L Xia, Y Xu, J Zhao, D Yin WSDM 2022, 2022	147	2022
Heterogeneous deep graph infomax Y Ren, B Liu, C Huang, P Dai, L Bo, J Zhang AAAI Workshop 2020, 2019	141	2019
Neural tensor factorization for temporal interaction learning X Wu, B Shi, Y Dong, C Huang, NV Chawla WSDM 2019, 2019	115*	2019
Heterogeneous graph contrastive learning for recommendation M Chen, C Huang, L Xia, W Wei, Y Xu, R Luo WSDM 2023, 2023	114	2023
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction J Ji, J Wang, C Huang, J Wu, B Xu, Z Wu, J Zhang, Y Zheng AAAI 2023, 2022	113	2022
Mist: A multiview and multimodal spatial-temporal learning framework for citywide abnormal event forecasting C Huang, C Zhang, J Zhao, X Wu, D Yin, N Chawla WWW 2019, 2019	113	2019
Multiplex behavioral relation learning for recommendation via memory augmented transformer network L Xia, C Huang, Y Xu, P Dai, B Zhang, L Bo SIGIR 2020, 2020	106	2020
Graph-enhanced multi-task learning of multi-level transition dynamics for session-based recommendation C Huang, J Chen, L Xia, Y Xu, P Dai, Y Chen, L Bo, J Zhao, JX Huang AAAI 2021, 2021	101	2021
LLMRec: Large Language Models with Graph Augmentation for Recommendation W Wei, X Ren, J Tang, Q Wang, L Su, S Cheng, J Wang, D Yin, C Huang WSDM 2024, 2023	94	2023
Online purchase prediction via multi-scale modeling of behavior dynamics C Huang, X Wu, X Zhang, C Zhang, J Zhao, D Yin, NV Chawla KDD 2019, 2019	94	2019

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