Wei, Tianxin

15 publications

TMLR 2026 Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong

ICML 2025 Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong

NeurIPS 2025 CLIMB: Class-Imbalanced Learning Benchmark on Tabular Data Zhining Liu, Zihao Li, Ze Yang, Tianxin Wei, Jian Kang, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong

ICML 2025 Graph4MM: Weaving Multimodal Learning with Structural Information Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He

ICCV 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

ICLRW 2025 TASP: Preserving Training Dynamics in Transformers via NTK-Aware Structured Pruning Mengting Ai, Tianxin Wei, Jingrui He

UAI 2025 i$^2$VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation Xuying Ning, Wujiang Xu, Tianxin Wei, Xiaolei Liu

ICML 2024 Graph Mixup on Approximate Gromov–Wasserstein Geodesics Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong

ICML 2024 Language 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

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

ICLR 2024 Towards 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

NeurIPS 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

ICML 2023 NTK-Approximating MLP Fusion for Efficient Language Model Fine-Tuning Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He

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