Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. - Tianxin Wei; Ziwei Wu; Ruirui Li 002; Ziniu Hu; Fuli Feng; Xiangnan He 001; Yizhou Sun; Wei Wang 010 (ICDM, 2020)

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. - Tianxin Wei; Fuli Feng; Jiawei Chen 007; Chufeng Shi; Ziwei Wu; Jinfeng Yi; Xiangnan He 001 (CoRR, 2020)

Unpaired Multimodal Neural Machine Translation via Reinforcement Learning. - Yijun Wang 002; Tianxin Wei; Qi Liu 003; Enhong Chen (DASFAA (2), 2021)

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. - Tianxin Wei; Fuli Feng; Jiawei Chen 007; Ziwei Wu; Jinfeng Yi; Xiangnan He 001 (KDD, 2021)

Causal Intervention for Leveraging Popularity Bias in Recommendation. - Yang Zhang 072; Fuli Feng; Xiangnan He 001; Tianxin Wei; Chonggang Song; Guohui Ling; Yongdong Zhang 001 (SIGIR, 2021)

Comprehensive Fair Meta-learned Recommender System. - Tianxin Wei; Jingrui He (KDD, 2022)

Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. - Tianxin Wei; Yuning You; Tianlong Chen 001; Yang Shen 001; Jingrui He; Zhangyang Wang (NeurIPS, 2022)

Neural Collaborative Filtering Bandits via Meta Learning. - Yikun Ban; Yunzhe Qi; Tianxin Wei; Jingrui He (CoRR, 2022)

Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning. - Xinrui He; Tianxin Wei; Jingrui He (CIKM, 2023)

NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning. - Tianxin Wei; Zeming Guo; Yifan Chen 004; Jingrui He (ICML, 2023)

Adaptive Test-Time Personalization for Federated Learning. - Wenxuan Bao; Tianxin Wei; Haohan Wang; Jingrui He (NeurIPS, 2023)

Meta-Learning with Neural Bandit Scheduler. - Yunzhe Qi; Yikun Ban; Tianxin Wei; Jiaru Zou; Huaxiu Yao; Jingrui He (NeurIPS, 2023)

Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. - Yan Han 001; Yuning You; Wenqing Zheng; Scott Hoang; Tianxin Wei; Majdi Hassan; Tianlong Chen 001; Ying Ding 001; Yang Shen 001; Zhangyang Wang (IEEE Data Eng. Bull., 2023)

TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation. - Zhuang Zhuang; Tianxin Wei; Lingbo Liu; Heng Qi; Yanming Shen; Baocai Yin (AAAI, 2024)

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. - Tianxin Wei; Bowen Jin; Ruirui Li 002; Hansi Zeng; Zhengyang Wang; Jianhui Sun; Qingyu Yin; Hanqing Lu; Suhang Wang; Jingrui He; Xianfeng Tang (ICLR, 2024)

Language Models as Semantic Indexers. - Bowen Jin; Hansi Zeng; Guoyin Wang 001; Xiusi Chen; Tianxin Wei; Ruirui Li 002; Zhengyang Wang; Zheng Li 018; Yang Li; Hanqing Lu; Suhang Wang; Jiawei Han 001; et al. (ICML, 2024)

Graph Mixup on Approximate Gromov-Wasserstein Geodesics. - Zhichen Zeng 001; Ruizhong Qiu; Zhe Xu 007; Zhining Liu 002; Yuchen Yan; Tianxin Wei; Lei Ying 001; Jingrui He; Hanghang Tong (ICML, 2024)

Meta Clustering of Neural Bandits. - Yikun Ban; Yunzhe Qi; Tianxin Wei; Lihui Liu; Jingrui He (KDD, 2024)

Scalable and Effective Generative Information Retrieval. - Hansi Zeng; Chen Luo 003; Bowen Jin; Sheikh Muhammad Sarwar; Tianxin Wei; Hamed Zamani (WWW, 2024)

WAPITI: A Watermark for Finetuned Open-Source LLMs. - Lingjie Chen; Ruizhong Qiu; Siyu Yuan; Zhining Liu 002; Tianxin Wei; Hyunsik Yoo; Zhichen Zeng 001; Deqing Yang; Hanghang Tong (CoRR, 2024)

Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. - Jiacheng Lin; Kun Qian 018; Haoyu Han; Nurendra Choudhary; Tianxin Wei; Zhongruo Wang; Sahika Genc; Edward W. Huang; Sheng Wang 012; Karthik Subbian; Danai Koutra; Jimeng Sun 001 (CoRR, 2024)

LLM-Forest for Health Tabular Data Imputation. - Xinrui He; Yikun Ban; Jiaru Zou; Tianxin Wei; Curtiss B. Cook; Jingrui He (CoRR, 2024)

PyG-SSL: A Graph Self-Supervised Learning Toolkit. - Lecheng Zheng; Baoyu Jing; Zihao Li 006; Zhichen Zeng 001; Tianxin Wei; Mengting Ai; Xinrui He; Lihui Liu; Dongqi Fu; Jiaxuan You; Hanghang Tong; Jingrui He (CoRR, 2024)

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence. - Zhining Liu 002; Rana Ali Amjad; Ravinarayana Adkathimar; Tianxin Wei; Hanghang Tong (ACL (1), 2025)

LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation. - Xinrui He; Yikun Ban; Jiaru Zou; Tianxin Wei; Curtiss B. Cook; Jingrui He (ACL (Findings), 2025)

ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. - Mengting Ai; Tianxin Wei; Yifan Chen 004; Zhichen Zeng 001; Ritchie Zhao; Girish Varatkar; Bita Darvish Rouhani; Xianfeng Tang; Hanghang Tong; Jingrui He (KDD (1), 2025)

Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization. - Tianxin Wei; Yifan Chen 004; Xinrui He; Wenxuan Bao; Jingrui He (KDD (1), 2025)

i2VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation. - Xuying Ning; Wujiang Xu; Tianxin Wei; Xiaolei Liu (UAI, 2025)

CATS: Mitigating Correlation Shift for Multivariate Time Series Classification. - Xiao Lin; Zhichen Zeng 001; Tianxin Wei; Zhining Liu 002; Yuzhong Chen; Hanghang Tong (CoRR, 2025)

Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics. - Zhichen Zeng 001; Ruizhong Qiu; Wenxuan Bao; Tianxin Wei; Xiao Lin; Yuchen Yan; Tarek F. Abdelzaher; Jiawei Han 001; Hanghang Tong (CoRR, 2025)

CLIMB: Class-imbalanced Learning Benchmark on Tabular Data. - Zhining Liu 002; Zihao Li 006; Ze Yang; Tianxin Wei; Jian Kang 008; Yada Zhu; Hendrik F. Hamann; Jingrui He; Hanghang Tong (CoRR, 2025)

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting. - Zhining Liu 002; Ze Yang; Xiao Lin; Ruizhong Qiu; Tianxin Wei; Yada Zhu; Hendrik F. Hamann; Jingrui He; Hanghang Tong (CoRR, 2025)

Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance. - Ruizhong Qiu; Gaotang Li; Tianxin Wei; Jingrui He; Hanghang Tong (CoRR, 2025)

Flow Matching Meets Biology and Life Science: A Survey. - Zihao Li 006; Zhichen Zeng 001; Xiao Lin; Feihao Fang; Yanru Qu; Zhe Xu 007; Zhining Liu 002; Xuying Ning; Tianxin Wei; Ge Liu; Hanghang Tong; Jingrui He (CoRR, 2025)

Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning. - Wenxuan Bao; Ruxi Deng; Ruizhong Qiu; Tianxin Wei; Hanghang Tong; Jingrui He (CoRR, 2025)