Tianxin Wei

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Collaborative Filtering

Unsupervised Manner

Top Venues

Publications

Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, Hamed Zamani
Scalable and Effective Generative Information Retrieval. WWW (2024)
Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He
Meta Clustering of Neural Bandits. KDD (2024)
Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. CoRR (2024)
Zhuang Zhuang, Tianxin Wei, Lingbo Liu, Heng Qi, Yanming Shen, Baocai Yin
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation. AAAI (2024)
Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. ICLR (2024)
Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, Hamed Zamani
Scalable and Effective Generative Information Retrieval. CoRR (2023)
Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning. ICML (2023)
Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning. CoRR (2023)
Yan Han, Yuning You, Wenqing Zheng, Scott Hoang, Tianxin Wei, Majdi Hassan, Tianlong Chen, Ying Ding, Yang Shen, Zhangyang Wang
Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. IEEE Data Eng. Bull. 46 (2) (2023)
Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He
Meta-Learning with Neural Bandit Scheduler. NeurIPS (2023)
Xinrui He, Tianxin Wei, Jingrui He
Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning. CoRR (2023)
Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
Adaptive Test-Time Personalization for Federated Learning. CoRR (2023)
Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
Adaptive Test-Time Personalization for Federated Learning. NeurIPS (2023)
Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang
Language Models As Semantic Indexers. CoRR (2023)
Xinrui He, Tianxin Wei, Jingrui He
Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning. CIKM (2023)
Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. NeurIPS (2022)
Tianxin Wei, Jingrui He
Comprehensive Fair Meta-learned Recommender System. KDD (2022)
Yikun Ban, Yunzhe Qi, Tianxin Wei, Jingrui He
Neural Collaborative Filtering Bandits via Meta Learning. CoRR (2022)
Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. CoRR (2022)
Tianxin Wei, Jingrui He
Comprehensive Fair Meta-learned Recommender System. CoRR (2022)
Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang
Causal Intervention for Leveraging Popularity Bias in Recommendation. CoRR (2021)
Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang
Causal Intervention for Leveraging Popularity Bias in Recommendation. SIGIR (2021)
Yijun Wang, Tianxin Wei, Qi Liu, Enhong Chen
Unpaired Multimodal Neural Machine Translation via Reinforcement Learning. DASFAA (2) (2021)
Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. KDD (2021)
Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang
Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. ICDM (2020)
Tianxin Wei, Fuli Feng, Jiawei Chen, Chufeng Shi, Ziwei Wu, Jinfeng Yi, Xiangnan He
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. CoRR (2020)