Wei Wei

Cited by

	All	Since 2019
Citations	336	336
h-index	6	6
i10-index	6	6

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20222023202421 133 182

Co-authors

Lianghao XiaPostdoctoral Fellow, University of Hong KongVerified email at hku.hk
Chao HuangAssistant Professor of Computer Science, University of Hong KongVerified email at hku.hk
Dawei YinSenior Director of Search Science at Baidu, Inc.Verified email at baidu.com
Jiabin TangUniversity of Hong KongVerified email at connect.hku.hk
Xubin RenUniversity of Hong KongVerified email at connect.hku.hk
Lixin SuBaidu Inc.Verified email at baidu.com
Yuhao YangUniversity of Hong KongVerified email at connect.hku.hk
Zhao JiashuWilfrid Laurier UniversityVerified email at wlu.ca
Chuxu ZhangAssistant Professor, Computer Science, Brandeis UniversityVerified email at brandeis.edu
Qinyong WangBaidu, inc.Verified email at baidu.com
Tianle WangUniversity of Hong KongVerified email at connect.hku.hk
Xuheng CaiThe University of Hong KongVerified email at hku.hk
Zirui GuoBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Lei ShiBaidu Inc.Verified email at baidu.com

Wei Wei

University of Hong Kong

Verified email at connect.hku.hk

Graph Learning Recommendation System


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Contrastive meta learning with behavior multiplicity for recommendation W Wei, C Huang, L Xia, Y Xu, J Zhao, D Yin WSDM 2022, Best Paper Candidate, 1120-1128, 2022	116	2022
Heterogeneous graph contrastive learning for recommendation M Chen, C Huang, L Xia, W Wei, Y Xu, R Luo Proceedings of the sixteenth ACM international conference on web search and …, 2023	60	2023
Multi-Modal Self-Supervised Learning for Recommendation W Wei, C Huang, L Xia, C Zhang Proceedings of the ACM Web Conference 2023, 2023	46	2023
Graphgpt: Graph instruction tuning for large language models J Tang, Y Yang, W Wei, L Shi, L Su, S Cheng, D Yin, C Huang SIGIR'2024, 2023	40	2023
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	38	2023
Representation learning with large language models for recommendation X Ren, W Wei, L Xia, L Su, S Cheng, J Wang, D Yin, C Huang WWW 2024, 2023	21	2023
Multi-relational contrastive learning for recommendation W Wei, L Xia, C Huang Proceedings of the 17th ACM Conference on Recommender Systems, 338-349, 2023	6	2023
SSLRec: A Self-Supervised Learning Library for Recommendation X Ren, L Xia, Y Yang, W Wei, T Wang, X Cai, C Huang WSDM 2024, 2023	5	2023
GraphEdit: Large Language Models for Graph Structure Learning Z Guo, L Xia, Y Yu, Y Wang, Z Yang, W Wei, L Pang, TS Chua, C Huang arXiv preprint arXiv:2402.15183, 2024	2	2024
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning W Wei, J Tang, Y Jiang, L Xia, C Huang WWW 2024, 2024	1	2024
Multi-Behavior Dynamic Contrastive Learning for Recommendation W Wei, C Huang, L Xia, Y Yu, C Zhang	1	2022
A Comprehensive Survey on Self-Supervised Learning for Recommendation X Ren, W Wei, L Xia, C Huang arXiv preprint arXiv:2404.03354, 2024		2024
HiGPT: Heterogeneous Graph Language Model J Tang, Y Yang, W Wei, L Shi, L Xia, D Yin, C Huang arXiv preprint arXiv:2402.16024, 2024		2024

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