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Tianxin Wei

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

29

Venues

14

Active years

2020–2026

Best venue rank

A*

Where they publish

Papers

29 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIPanda: Test-Time Adaptation with Negative Data Augmentation.Ruxi Deng, Wenxuan Bao, Tianxin Wei, Jingrui He
2026ACLMem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents.Yuanchen Bei, Tianxin Wei, Xuying Ning, Yanjun Zhao, Zhining Liu, Xiao Lin, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2026ACLAdaFuse: Adaptive Ensemble Decoding for Large Language Models.Chengming Cui, Tianxin Wei, Ziyi Chen, Ruizhong Qiu, Zhichen Zeng, Zhining Liu, Xuying Ning, Duo Zhou, Jingrui He
2026ACLPAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs.Yanjun Zhao, Tianxin Wei, Jiaru Zou, Xuying Ning, Yuanchen Bei, Lingjie Chen, Simmi Rana, Wendy H. Yang, Hanghang Tong, Jingrui He
2026EACLHarnessing Consistency for Robust Test-Time LLM Ensemble.Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong
2026WWWFeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation.Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He
2025ACLSelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence.Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong
2025ACLLLM-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
2025CIKMPyG-SSL: A Graph Self-Supervised Learning Toolkit.Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He
2025EMNLPLearning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs.Yunzhe Qi, Jinjin Tian, Tianci Liu, Ruirui Li, Tianxin Wei, Hui Liu, Xianfeng Tang, Monica Xiao Cheng, Jingrui He
2025ICCVLatte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning.Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He
2025ICMLBreaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting.Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025ICMLGraph4MM: Weaving Multimodal Learning with Structural Information.Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He
2025KDDResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration.Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He
2025KDDConnecting Domains and Contrasting Samples: A Ladder for Domain Generalization.Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He
2025UAIiXuying Ning, Wujiang Xu, Tianxin Wei, Xiaolei Liu
2024AAAITAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation.Zhuang Zhuang, Tianxin Wei, Lingbo Liu, Heng Qi, Yanming Shen, Baocai Yin
2024ICLRTowards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
2024ICMLLanguage Models as Semantic Indexers.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
2024ICMLGraph Mixup on Approximate Gromov-Wasserstein Geodesics.Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong
2024KDDMeta Clustering of Neural Bandits.Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He
2024WWWScalable and Effective Generative Information Retrieval.Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, Hamed Zamani
2023CIKMRobust Basket Recommendation via Noise-tolerated Graph Contrastive Learning.Xinrui He, Tianxin Wei, Jingrui He
2023ICMLNTK-approximating MLP Fusion for Efficient Language Model Fine-tuning.Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He
2022KDDComprehensive Fair Meta-learned Recommender System.Tianxin Wei, Jingrui He
2021DASFAAUnpaired Multimodal Neural Machine Translation via Reinforcement Learning.Yijun Wang, Tianxin Wei, Qi Liu, Enhong Chen
2021KDDModel-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System.Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He
2021SIGIRCausal Intervention for Leveraging Popularity Bias in Recommendation.Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang
2020ICDMFast Adaptation for Cold-start Collaborative Filtering with Meta-learning.Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang