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Wei Wei
Wei Wei
Verified email at connect.hku.hk
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
1612022
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
1372023
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
1332023
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
1232023
Multi-Modal Self-Supervised Learning for Recommendation
W Wei, C Huang, L Xia, C Zhang
Proceedings of the ACM Web Conference 2023, 2023
1062023
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
892023
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
26*2023
Higpt: Heterogeneous graph language model
J Tang, Y Yang, W Wei, L Shi, L Xia, D Yin, C Huang
KDD'2024, 2024
162024
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
162024
Multi-relational contrastive learning for recommendation
W Wei, L Xia, C Huang
Proceedings of the 17th ACM Conference on Recommender Systems, 338-349, 2023
11*2023
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning
W Wei, J Tang, Y Jiang, L Xia, C Huang
WWW 2024, 2024
102024
A comprehensive survey on self-supervised learning for recommendation
X Ren, W Wei, L Xia, C Huang
arXiv preprint arXiv:2404.03354, 2024
82024
DiffMM: Multi-Modal Diffusion Model for Recommendation
Y Jiang, L Xia, W Wei, D Luo, K Lin, C Huang
MM'24, Best Paper Candidate, 2024
32024
EasyST: A Simple Framework for Spatio-Temporal Prediction
J Tang, W Wei, L Xia, C Huang
CIKM'2024, 2024
2024
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