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Tianxin Wei
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2020 – today
- 2026
- [j3]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:
DiffKGW: Stealthy and Robust Diffusion Model Watermarking. Trans. Mach. Learn. Res. 2026 (2026) - [j2]Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong:
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics. Trans. Mach. Learn. Res. 2026 (2026) - [c28]Ruxi Deng, Wenxuan Bao, Tianxin Wei, Jingrui He:
Panda: Test-Time Adaptation with Negative Data Augmentation. AAAI 2026: 3551-3559 - [c27]Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong:
Harnessing Consistency for Robust Test-Time LLM Ensemble. EACL (Findings) 2026: 3528-3545 - [c26]Xinrui He
, Ting-Wei Li, Tianxin Wei
FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation. WWW 2026: 6206-6217 - [i46]Yuanchen Bei, Tianxin Wei, Xuying Ning, Yanjun Zhao, Zhining Liu, Xiao Lin, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong:
Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents. CoRR abs/2601.03515 (2026) - [i45]Xiao Lin, Philip Li, Zhichen Zeng, Tingwei Li, Tianxin Wei, Xuying Ning, Gaotang Li, Yuzhong Chen, Hanghang Tong:
ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification. CoRR abs/2601.03600 (2026) - [i44]Chengming Cui, Tianxin Wei, Ziyi Chen, Ruizhong Qiu, Zhichen Zeng, Zhining Liu, Xuying Ning, Duo Zhou, Jingrui He:
AdaFuse: Adaptive Ensemble Decoding with Test-Time Scaling for LLMs. CoRR abs/2601.06022 (2026) - [i43]Zhichen Zeng, Wenxuan Bao, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Xuying Ning, Yuchen Yan, Chen Luo, Monica Xiao Cheng, Jingrui He, Hanghang Tong:
Subspace Alignment for Vision-Language Model Test-time Adaptation. CoRR abs/2601.08139 (2026) - [i42]Yunzhe Li, Richie Yueqi Feng, Tianxin Wei, Chin-Chia Hsu:
CoReflect: Conversational Evaluation via Co-Evolutionary Simulation and Reflective Rubric Refinement. CoRR abs/2601.12208 (2026) - [i41]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:
Agentic Reasoning for Large Language Models. CoRR abs/2601.12538 (2026) - [i40]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:
TSAQA: Time Series Analysis Question And Answering Benchmark. CoRR abs/2601.23204 (2026) - [i39]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:
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey. CoRR abs/2602.06052 (2026) - [i38]Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He:
FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation. CoRR abs/2602.16034 (2026) - [i37]Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik F. Hamann, Jingrui He:
MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains. CoRR abs/2603.00873 (2026) - [i36]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:
ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning. CoRR abs/2603.10160 (2026) - 2025
- [c25]Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He:
LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation. ACL (Findings) 2025: 6921-6936 - [c24]Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong:
SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence. ACL (1) 2025: 9153-9173 - [c23]Lecheng Zheng
PyG-SSL: A Graph Self-Supervised Learning Toolkit. CIKM 2025: 6580-6586 - [c22]Yunzhe Qi, Jinjin Tian, Tianci Liu, Ruirui Li, Tianxin Wei, Hui Liu, Xianfeng Tang, Monica Xiao Cheng, Jingrui He:
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs. EMNLP (Findings) 2025: 7707-7733 - [c21]Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong:
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting. ICML 2025 - [c20]Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He:
Graph4MM: Weaving Multimodal Learning with Structural Information. ICML 2025 - [c19]Mengting Ai
ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. KDD (1) 2025: 1-12 - [c18]Tianxin Wei
Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization. KDD (1) 2025: 1563-1574 - [c17]Xuying Ning, Wujiang Xu, Tianxin Wei, Xiaolei Liu:
i2VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation. UAI 2025: 3235-3251 - [i35]Zhining Liu, Rana Ali Amjad, Ravinarayana Adkathimar, Tianxin Wei, Hanghang Tong:
SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence. CoRR abs/2502.08767 (2025) - [i34]Mengting Ai, Tianxin Wei, Yifan Chen, Zhichen Zeng, Ritchie Zhao, Girish Varatkar, Bita Darvish Rouhani, Xianfeng Tang, Hanghang Tong, Jingrui He:
ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. CoRR abs/2503.06881 (2025) - [i33]Xiao Lin, Zhichen Zeng, Tianxin Wei, Zhining Liu, Yuzhong Chen, Hanghang Tong:
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification. CoRR abs/2504.04283 (2025) - [i32]Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong:
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics. CoRR abs/2505.12709 (2025) - [i31]Zhining Liu, Zihao Li, Ze Yang, Tianxin Wei, Jian Kang, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong:
CLIMB: Class-imbalanced Learning Benchmark on Tabular Data. CoRR abs/2505.17451 (2025) - [i30]Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong:
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting. CoRR abs/2505.18442 (2025) - [i29]Ruizhong Qiu, Gaotang Li, Tianxin Wei, Jingrui He, Hanghang Tong:
Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance. CoRR abs/2506.06444 (2025) - [i28]Zihao Li, Zhichen Zeng, Xiao Lin, Feihao Fang, Yanru Qu, Zhe Xu, Zhining Liu, Xuying Ning, Tianxin Wei, Ge Liu, Hanghang Tong, Jingrui He:
Flow Matching Meets Biology and Life Science: A Survey. CoRR abs/2507.17731 (2025) - [i27]Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He:
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning. CoRR abs/2507.21494 (2025) - [i26]Mengting Ai, Tianxin Wei, Sirui Chen, Jingrui He:
NIRVANA: Structured pruning reimagined for large language models compression. CoRR abs/2509.14230 (2025) - [i25]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:
Hierarchical LoRA MoE for Efficient CTR Model Scaling. CoRR abs/2510.10432 (2025) - [i24]Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong:
Harnessing Consistency for Robust Test-Time LLM Ensemble. CoRR abs/2510.13855 (2025) - [i23]Tianxin Wei, Yifan Chen, Xinrui He, Wenxuan Bao, Jingrui He:
Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization. CoRR abs/2510.16704 (2025) - [i22]Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He:
Graph4MM: Weaving Multimodal Learning with Structural Information. CoRR abs/2510.16990 (2025) - [i21]Zhining Liu, Ziyi Chen, Hui Liu, Chen Luo, Xianfeng Tang, Suhang Wang, Joy Zeng, Zhenwei Dai, Zhan Shi, Tianxin Wei, Benoît Dumoulin, Hanghang Tong:
Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs. CoRR abs/2510.17771 (2025) - [i20]Ruxi Deng, Wenxuan Bao, Tianxin Wei, Jingrui He:
Panda: Test-Time Adaptation with Negative Data Augmentation. CoRR abs/2511.10481 (2025) - [i19]Duo Zhou, Yuji Zhang, Tianxin Wei, Ruizhong Qiu, Ke Yang, Xiao Lin, Cheng Qian, Jingrui He, Hanghang Tong, Heng Ji, Huan Zhang:
Geometric-Disentangelment Unlearning. CoRR abs/2511.17100 (2025) - [i18]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:
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory. CoRR abs/2511.20857 (2025) - [i17]Tianxin Wei, Xuying Ning, Xuxing Chen, Ruizhong Qiu, Yupeng Hou, Yan Xie, Shuang Yang, Zhigang Hua, Jingrui He:
CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation. CoRR abs/2511.22707 (2025) - 2024
- [c16]Zhuang Zhuang
TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation. AAAI 2024: 22565-22573 - [c15]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 - [c14]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. ICML 2024: 22244-22259 - [c13]Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong:
Graph Mixup on Approximate Gromov-Wasserstein Geodesics. ICML 2024: 58387-58406 - [c12]Yikun Ban
Meta Clustering of Neural Bandits. KDD 2024: 95-106 - [c11]Hansi Zeng
Scalable and Effective Generative Information Retrieval. WWW 2024: 1441-1452 - [i16]Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond. CoRR abs/2403.10667 (2024) - [i15]Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He:
Meta Clustering of Neural Bandits. CoRR abs/2408.05586 (2024) - [i14]Lingjie Chen, Ruizhong Qiu, Siyu Yuan, Zhining Liu, Tianxin Wei, Hyunsik Yoo, Zhichen Zeng, Deqing Yang, Hanghang Tong:
WAPITI: A Watermark for Finetuned Open-Source LLMs. CoRR abs/2410.06467 (2024) - [i13]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:
Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. CoRR abs/2410.11235 (2024) - [i12]Xinrui He, Yikun Ban, Jiaru Zou, Tianxin Wei, Curtiss B. Cook, Jingrui He:
LLM-Forest for Health Tabular Data Imputation. CoRR abs/2410.21520 (2024) - [i11]Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You
PyG-SSL: A Graph Self-Supervised Learning Toolkit. CoRR abs/2412.21151 (2024) - 2023
- [j1]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. 47(2): 80-95 (2023) - [c10]Xinrui He
Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning. CIKM 2023: 709-719 - [c9]Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He:
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning. ICML 2023: 36821-36838 - [c8]Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He:
Adaptive Test-Time Personalization for Federated Learning. NeurIPS 2023 - [c7]Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He:
Meta-Learning with Neural Bandit Scheduler. NeurIPS 2023 - [i10]Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He:
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning. CoRR abs/2307.08941 (2023) - [i9]Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang
Language Models As Semantic Indexers. CoRR abs/2310.07815 (2023) - [i8]Wenxuan Bao, Tianxin Wei, Haohan Wang, Jingrui He:
Adaptive Test-Time Personalization for Federated Learning. CoRR abs/2310.18816 (2023) - [i7]Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, Hamed Zamani:
Scalable and Effective Generative Information Retrieval. CoRR abs/2311.09134 (2023) - [i6]Xinrui He, Tianxin Wei, Jingrui He:
Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning. CoRR abs/2311.16334 (2023) - 2022
- [c6]Tianxin Wei
Comprehensive Fair Meta-learned Recommender System. KDD 2022: 1989-1999 - [c5]Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang:
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. NeurIPS 2022 - [i5]Yikun Ban, Yunzhe Qi, Tianxin Wei, Jingrui He:
Neural Collaborative Filtering Bandits via Meta Learning. CoRR abs/2201.13395 (2022) - [i4]Tianxin Wei
Comprehensive Fair Meta-learned Recommender System. CoRR abs/2206.04789 (2022) - [i3]Tianxin Wei
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. CoRR abs/2210.03801 (2022) - 2021
- [c4]Yijun Wang, Tianxin Wei
Unpaired Multimodal Neural Machine Translation via Reinforcement Learning. DASFAA (2) 2021: 168-185 - [c3]Tianxin Wei
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. KDD 2021: 1791-1800 - [c2]Yang Zhang
Causal Intervention for Leveraging Popularity Bias in Recommendation. SIGIR 2021: 11-20 - [i2]Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang:
Causal Intervention for Leveraging Popularity Bias in Recommendation. CoRR abs/2105.06067 (2021) - 2020
- [c1]Tianxin Wei
Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. ICDM 2020: 661-670 - [i1]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 abs/2010.15363 (2020)
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