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Wei Wei
Wei Wei
在 connect.hku.hk 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
962022
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
402023
Multi-Modal Self-Supervised Learning for Recommendation
W Wei, C Huang, L Xia, C Zhang
Proceedings of the ACM Web Conference 2023, 2023
322023
Graphgpt: Graph instruction tuning for large language models
J Tang, Y Yang, W Wei, L Shi, L Su, S Cheng, D Yin, C Huang
arXiv preprint arXiv:2310.13023, 2023
292023
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 Oral Presentation, 2023
212023
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
112023
SSLRec: A Self-Supervised Learning Library for Recommendation
X Ren, L Xia, Y Yang, W Wei, T Wang, X Cai, C Huang
WSDM 2024 Oral Presentation, 2023
32023
Multi-relational contrastive learning for recommendation
W Wei, L Xia, C Huang
Proceedings of the 17th ACM Conference on Recommender Systems, 338-349, 2023
22023
Multi-Behavior Dynamic Contrastive Learning for Recommendation
W Wei, C Huang, L Xia, Y Yu, C Zhang
12022
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning
W Wei, J Tang, Y Jiang, L Xia, C Huang
WWW 2024, 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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