Chao Huang

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Lianghao XiaPostdoctoral Fellow, University of Hong KongVerified email at hku.hk
Nitesh V Chawla, FACM, FAAAI, FIEEEFrank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameVerified email at nd.edu
Chuxu ZhangAssistant Professor, Computer Science, Brandeis UniversityVerified email at brandeis.edu
Dawei YinSenior Director of Search Science at Baidu, Inc.Verified email at baidu.com
Wei WeiUniversity of Hong KongVerified email at connect.hku.hk
Yuhao YangUniversity of Hong KongVerified email at connect.hku.hk
Xubin RenUniversity of Hong KongVerified email at connect.hku.hk
Yuxiao DongCS, Tsinghua UniversityVerified email at tsinghua.edu.cn
Junbo Zhang（张钧波）JD Intelligent Cities Research | JD TechnologyVerified email at jd.com
Jian PeiArthur S. Pearse Distinguished Professor, Duke UniversityVerified email at cs.sfu.ca
Yanfang (Fanny) YeCollegiate Associate Professor of of Computer Science and Engineering, University of Notre DameVerified email at nd.edu
Meng JiangUniversity of Notre DameVerified email at nd.edu
Jiabin TangUniversity of Hong KongVerified email at connect.hku.hk
Gregory MadeyResearch Professor of Computer Science & Engineering, University of Notre DameVerified email at nd.edu
Ben KaoThe University of Hong KongVerified email at cs.hku.hk
Xiangji Huang (Jimmy Huang)York Research Chair, Professor & ACM Distinguished Scientist York University Toronto, CanadaVerified email at yorku.ca
Ananthram SwamiArmy Research Laboratory

Chao Huang

Assistant Professor of Computer Science, University of Hong Kong

Verified email at hku.hk - Homepage

Graph Learning Spatio-Temporal Data Mining Recommendation Large Language Models


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Heterogeneous graph neural network C Zhang, D Song, C Huang, A Swami, NV Chawla KDD 2019, 2019	1223	2019
Hypergraph Contrastive Collaborative Filtering L Xia, C Huang, Y Xu, J Zhao, D Yin, JX Huang SIGIR 2022, 2022	197	2022
Few-shot knowledge graph completion C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla AAAI 2020, 2020	187	2020
Knowledge Graph Contrastive Learning for Recommendation Y Yang, C Huang, L Xia, C Li SIGIR 2022, 2022	175	2022
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	158	2021
DeepCrime: Attentive hierarchical recurrent networks for crime prediction C Huang, J Zhang, Y Zheng, NV Chawla CIKM 2018, 2018	158	2018
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	155	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	146	2021
Graph meta network for multi-behavior recommendation L Xia, Y Xu, C Huang, P Dai, L Bo SIGIR 2021, 2021	133	2021
Heterogeneous deep graph infomax Y Ren, B Liu, C Huang, P Dai, L Bo, J Zhang AAAI Workshop 2020, 2019	123	2019
Contrastive Meta Learning with Behavior Multiplicity for Recommendation W Wei, C Huang, L Xia, Y Xu, J Zhao, D Yin WSDM 2022, 2022	111	2022
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation X Cai, C Huang, L Xia, X Ren ICLR 2023, 2023	108	2023
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	104	2019
Neural tensor factorization for temporal interaction learning X Wu, B Shi, Y Dong, C Huang, NV Chawla WSDM 2019, 2019	103*	2019
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	88	2021
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	88	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	83	2020
On robust truth discovery in sparse social media sensing DY Zhang, R Han, D Wang, C Huang BigData 2016, 2016	80	2016
Social Recommendation with Self-Supervised Metagraph Informax Network X Long, C Huang, Y Xu, H Xu, PD Dai, L Xia, L Bo CIKM 2021, 2021	63	2021
Towards scalable and dynamic social sensing using a distributed computing framework DY Zhang, C Zheng, D Wang, D Thain, X Mu, G Madey, C Huang ICDCS 2017, 2017	61	2017

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