Tianxin Wei - RankMe

77 papers A* 18A 3Journal 49Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification. CoRR Xiao Lin, Philip Li, Zhichen Zeng, Tingwei Li, Tianxin Wei, Xuying Ning, Gaotang Li, Yuzhong Chen, Hanghang Tong
2026	J	`jnl`	AdaFuse: Adaptive Ensemble Decoding with Test-Time Scaling for LLMs. CoRR Chengming Cui, Tianxin Wei, Ziyi Chen, Ruizhong Qiu, Zhichen Zeng, Zhining Liu, Xuying Ning, Duo Zhou, Jingrui He
2026	J	`jnl`	Agentic Reasoning for Large Language Models. CoRR Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Dongqi Fu, Zihao Li, Mengting Ai, Duo Zhou, Wenxuan Bao, Yunzhe Li, Gaotang Li, Cheng Qian, Yu Wang, Xiangru Tang, Yin Xiao, Liri Fang, Hui Liu, Xianfeng Tang, Yuji Zhang, Chi Wang, Jiaxuan You, Heng Ji, Hanghang Tong, Jingrui He
2026	J	`jnl`	CoReflect: Conversational Evaluation via Co-Evolutionary Simulation and Reflective Rubric Refinement. CoRR Yunzhe Li, Richie Yueqi Feng, Tianxin Wei, Chin-Chia Hsu
2026	J	`jnl`	DiffKGW: Stealthy and Robust Diffusion Model Watermarking. Trans. Mach. Learn. Res. Tianxin Wei, Ruizhong Qiu, Yifan Chen, Yunzhe Qi, Jiacheng Lin, Wenxuan Bao, Wenju Xu, Sreyashi Nag, Ruirui Li, Hanqing Lu, Zhengyang Wang, Chen Luo, Hui Liu, Suhang Wang, Jingrui He, Qi He, Xianfeng Tang
2026	A*	`conf`	FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation. WWW Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He
2026	J	`jnl`	FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation. CoRR Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He
2026	—	`conf`	Harnessing Consistency for Robust Test-Time LLM Ensemble. EACL (Findings) Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong
2026	J	`jnl`	MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains. CoRR Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik F. Hamann, Jingrui He
2026	J	`jnl`	Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents. CoRR Yuanchen Bei, Tianxin Wei, Xuying Ning, Yanjun Zhao, Zhining Liu, Xiao Lin, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2026	A*	`conf`	Panda: Test-Time Adaptation with Negative Data Augmentation. AAAI Ruxi Deng, Wenxuan Bao, Tianxin Wei, Jingrui He
2026	J	`jnl`	Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics. Trans. Mach. Learn. Res. Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong
2026	J	`jnl`	ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning. CoRR Ruizhong Qiu, Hanqing Zeng, Yinglong Xia, Yiwen Meng, Ren Chen, Jiarui Feng, Dongqi Fu, Qifan Wang, Jiayi Liu, Jun Xiao, Xiangjun Fan, Benyu Zhang, Hong Li, Zhining Liu, Hyunsik Yoo, Zhichen Zeng, Tianxin Wei, Hanghang Tong
2026	J	`jnl`	Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu
2026	J	`jnl`	Subspace Alignment for Vision-Language Model Test-time Adaptation. CoRR Zhichen Zeng, Wenxuan Bao, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Xuying Ning, Yuchen Yan, Chen Luo, Monica Xiao Cheng, Jingrui He, Hanghang Tong
2026	J	`jnl`	TSAQA: Time Series Analysis Question And Answering Benchmark. CoRR Baoyu Jing, Sanhorn Chen, Lecheng Zheng, Boyu Liu, Zihao Li, Jiaru Zou, Tianxin Wei, Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Yuchen Yan, Dongqi Fu, Jingchao Ni, Jingrui He, Hanghang Tong
2025	A*	`conf`	Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting. ICML Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025	J	`jnl`	Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting. CoRR Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025	J	`jnl`	CATS: Mitigating Correlation Shift for Multivariate Time Series Classification. CoRR Xiao Lin, Zhichen Zeng, Tianxin Wei, Zhining Liu, Yuzhong Chen, Hanghang Tong
2025	J	`jnl`	CLIMB: Class-imbalanced Learning Benchmark on Tabular Data. CoRR Zhining Liu, Zihao Li, Ze Yang, Tianxin Wei, Jian Kang, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong
2025	J	`jnl`	CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation. CoRR Tianxin Wei, Xuying Ning, Xuxing Chen, Ruizhong Qiu, Yupeng Hou, Yan Xie, Shuang Yang, Zhigang Hua, Jingrui He
2025	—	`conf`	Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization. KDD (1) Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He
2025	J	`jnl`	Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization. CoRR Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He
2025	J	`jnl`	Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory. CoRR Tianxin Wei, Noveen Sachdeva, Benjamin Coleman, Zhankui He, Yuanchen Bei, Xuying Ning, Mengting Ai, Yunzhe Li, Jingrui He, Ed H. Chi, Chi Wang, Shuo Chen, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng
2025	J	`jnl`	Flow Matching Meets Biology and Life Science: A Survey. CoRR Zihao Li, Zhichen Zeng, Xiao Lin, Feihao Fang, Yanru Qu, Zhe Xu, Zhining Liu, Xuying Ning, Tianxin Wei, Ge Liu, Hanghang Tong, Jingrui He
2025	J	`jnl`	Geometric-Disentangelment Unlearning. CoRR Duo Zhou, Yuji Zhang, Tianxin Wei, Ruizhong Qiu, Ke Yang, Xiao Lin, Cheng Qian, Jingrui He, Hanghang Tong, Heng Ji, Huan Zhang
2025	A*	`conf`	Graph4MM: Weaving Multimodal Learning with Structural Information. ICML Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He
2025	J	`jnl`	Graph4MM: Weaving Multimodal Learning with Structural Information. CoRR Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He
2025	J	`jnl`	Harnessing Consistency for Robust Test-Time LLM Ensemble. CoRR Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong
2025	J	`jnl`	Hierarchical LoRA MoE for Efficient CTR Model Scaling. CoRR Zhichen Zeng, Mengyue Hang, Xiaolong Liu, Xiaoyi Liu, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Zhining Liu, Siyang Yuan, Chaofei Yang, Yiqun Liu, Hang Yin, Jiyan Yang, Hanghang Tong
2025	—	`conf`	LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation. ACL (Findings) Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He
2025	J	`jnl`	Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning. CoRR Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He
2025	—	`conf`	Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs. EMNLP (Findings) Yunzhe Qi, Jinjin Tian, Tianci Liu, Ruirui Li, Tianxin Wei, Hui Liu, Xianfeng Tang, Monica Xiao Cheng, Jingrui He
2025	J	`jnl`	NIRVANA: Structured pruning reimagined for large language models compression. CoRR Mengting Ai, Tianxin Wei, Sirui Chen, Jingrui He
2025	J	`jnl`	Panda: Test-Time Adaptation with Negative Data Augmentation. CoRR Ruxi Deng, Wenxuan Bao, Tianxin Wei, Jingrui He
2025	J	`jnl`	Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics. CoRR Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong
2025	A	`conf`	PyG-SSL: A Graph Self-Supervised Learning Toolkit. CIKM Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He
2025	—	`conf`	ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. KDD (1) Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He
2025	J	`jnl`	ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. CoRR Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He
2025	J	`jnl`	Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance. CoRR Ruizhong Qiu, Gaotang Li, Tianxin Wei, Jingrui He, Hanghang Tong
2025	J	`jnl`	Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs. CoRR Zhining Liu, Ziyi Chen, Hui Liu, Chen Luo, Xianfeng Tang, Suhang Wang, Joy Zeng, Zhenwei Dai, Zhan Shi, Tianxin Wei, Benoît Dumoulin, Hanghang Tong
2025	—	`conf`	SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence. ACL (1) Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong
2025	J	`jnl`	SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence. CoRR Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong
2025	A	`conf`	i UAI Xuying Ning, Wujiang Xu, Tianxin Wei, Xiaolei Liu
2024	A*	`conf`	Graph Mixup on Approximate Gromov-Wasserstein Geodesics. ICML Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong
2024	J	`jnl`	LLM-Forest for Health Tabular Data Imputation. CoRR Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He
2024	A*	`conf`	Language Models as Semantic Indexers. ICML 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
2024	A*	`conf`	Meta Clustering of Neural Bandits. KDD Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He
2024	J	`jnl`	Meta Clustering of Neural Bandits. CoRR Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He
2024	J	`jnl`	PyG-SSL: A Graph Self-Supervised Learning Toolkit. CoRR Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He
2024	A*	`conf`	Scalable and Effective Generative Information Retrieval. WWW Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, Hamed Zamani
2024	A*	`conf`	TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation. AAAI Zhuang Zhuang, Tianxin Wei, Lingbo Liu, Heng Qi, Yanming Shen, Baocai Yin
2024	A*	`conf`	Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. ICLR Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
2024	J	`jnl`	Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. CoRR Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
2024	J	`jnl`	Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. CoRR Jiacheng Lin, Kun Qian, Haoyu Han, Nurendra Choudhary, Tianxin Wei, Zhongruo Wang, Sahika Genc, Edward W. Huang, Sheng Wang, Karthik Subbian, Danai Koutra, Jimeng Sun
2024	J	`jnl`	WAPITI: A Watermark for Finetuned Open-Source LLMs. CoRR Lingjie Chen, Ruizhong Qiu, Siyu Yuan, Zhining Liu, Tianxin Wei, Hyunsik Yoo, Zhichen Zeng, Deqing Yang, Hanghang Tong
2023	A*	`conf`	Adaptive Test-Time Personalization for Federated Learning. NeurIPS Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
2023	J	`jnl`	Adaptive Test-Time Personalization for Federated Learning. CoRR Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He
2023	J	`jnl`	Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. IEEE Data Eng. Bull. Yan Han, Yuning You, Wenqing Zheng, Scott Hoang, Tianxin Wei, Majdi Hassan, Tianlong Chen, Ying Ding, Yang Shen, Zhangyang Wang
2023	J	`jnl`	Language Models As Semantic Indexers. CoRR 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
2023	A*	`conf`	Meta-Learning with Neural Bandit Scheduler. NeurIPS Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He
2023	A*	`conf`	NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning. ICML Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He
2023	J	`jnl`	NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning. CoRR Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He
2023	A	`conf`	Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning. CIKM Xinrui He, Tianxin Wei, Jingrui He
2023	J	`jnl`	Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning. CoRR Xinrui He, Tianxin Wei, Jingrui He
2023	J	`jnl`	Scalable and Effective Generative Information Retrieval. CoRR Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, Hamed Zamani
2022	A*	`conf`	Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. NeurIPS Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
2022	J	`jnl`	Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. CoRR Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang
2022	A*	`conf`	Comprehensive Fair Meta-learned Recommender System. KDD Tianxin Wei, Jingrui He
2022	J	`jnl`	Comprehensive Fair Meta-learned Recommender System. CoRR Tianxin Wei, Jingrui He
2022	J	`jnl`	Neural Collaborative Filtering Bandits via Meta Learning. CoRR Yikun Ban, Yunzhe Qi, Tianxin Wei, Jingrui He
2021	A*	`conf`	Causal Intervention for Leveraging Popularity Bias in Recommendation. SIGIR Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang
2021	J	`jnl`	Causal Intervention for Leveraging Popularity Bias in Recommendation. CoRR Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang
2021	A*	`conf`	Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. KDD Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He
2021	—	`conf`	Unpaired Multimodal Neural Machine Translation via Reinforcement Learning. DASFAA (2) Yijun Wang, Tianxin Wei, Qi Liu, Enhong Chen
2020	A*	`conf`	Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. ICDM Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang
2020	J	`jnl`	Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. CoRR Tianxin Wei, Fuli Feng, Jiawei Chen, Chufeng Shi, Ziwei Wu, Jinfeng Yi, Xiangnan He