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Tianxin Wei
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2020 – today
- 2025
- [c21]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 - [c20]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 - [c19]Mengting Ai
, Tianxin Wei
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 - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]Mengting Ai, Tianxin Wei, Sirui Chen, Jingrui He:
NIRVANA: Structured pruning reimagined for large language models compression. CoRR abs/2509.14230 (2025) - [i21]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) - [i20]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) - [i19]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) - [i18]Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He:
Graph4MM: Weaving Multimodal Learning with Structural Information. CoRR abs/2510.16990 (2025) - [i17]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) - 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 - [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 - [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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