| LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation X Cai, C Huang, L Xia, X Ren ICLR 2023, 2023 | 150 | 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, 2024 | 69 | 2024 |
| Disentangled Contrastive Collaborative Filtering X Ren, L Xia, J Zhao, D Yin, C Huang SIGIR 2023, 2023 | 43 | 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, 2024 | 38 | 2024 |
| Graph Transformer for Recommendation C Li, L Xia, X Ren, Y Ye, Y Xu, C Huang SIGIR 2023, 2023 | 21 | 2023 |
| SSLRec: A Self-Supervised Learning Framework for Recommendation X Ren, L Xia, Y Yang, W Wei, T Wang, X Cai, C Huang WSDM 2024, 2024 | 11* | 2024 |
| A Comprehensive Survey on Self-Supervised Learning for Recommendation X Ren, W Wei, L Xia, C Huang arXiv 2024, 2024 | 4 | 2024 |
| How Expressive are Graph Neural Networks in Recommendation? X Cai, L Xia, X Ren, C Huang CIKM 2023, 2023 | 2 | 2023 |
| Multi-Auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation J Yi, X Ren, Z Chen TOIS 2023, 2023 | 2 | 2023 |
| Deep Deconfounded Content-based Tag Recommendation for UGC with Causal Intervention Y Zhu, X Ren, J Yi, Z Chen arXiv 2022, 2022 | 2 | 2022 |
| A Survey of Large Language Models for Graphs X Ren, J Tang, D Yin, N Chawla, C Huang KDD 2024, 2024 | 1 | 2024 |
| XRec: Large Language Models for Explainable Recommendation Q Ma, X Ren, C Huang arXiv 2024, 2024 | | 2024 |
| Large Language Models for Graphs: Progresses and Directions C Huang, X Ren, J Tang, D Yin, N Chawla WWW 2024, 2024 | | 2024 |
Lianghao XiaPostdoctoral Fellow, University of Hong Kong在 hku.hk 的电子邮件经过验证
