Chu, Wei

30 publications

ICLR 2026 The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward Long Li, Zhijian Zhou, Jiaran Hao, Jason Klein Liu, Yanting Miao, Wei Pang, Xiaoyu Tan, Wei Chu, Zhe Wang, Shirui Pan, Chao Qu, Yuan Qi

NeurIPS 2025 VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning Haozhe Wang, Chao Qu, Zuming Huang, Wei Chu, Fangzhen Lin, Wenhu Chen

ICLR 2024 LogicMP: A Neuro-Symbolic Approach for Encoding First-Order Logic Constraints Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu

CVPR 2023 Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval Tan Pan, Furong Xu, Xudong Yang, Sifeng He, Chen Jiang, Qingpei Guo, Feng Qian, Xiaobo Zhang, Yuan Cheng, Lei Yang, Wei Chu

AAAI 2023 DC-Former: Diverse and Compact Transformer for Person Re-Identification Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu

AAAI 2023 DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks Lei Zhang, Xiaodong Yan, Jianshan He, Ruopeng Li, Wei Chu

CVPR 2023 Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation Jiangwei Lao, Weixiang Hong, Xin Guo, Yingying Zhang, Jian Wang, Jingdong Chen, Wei Chu

AAAI 2022 CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma

ECCV 2022 Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input Qingpei Guo, Kaisheng Yao, Wei Chu

CVPR 2022 Training Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer Weixiang Hong, Jiangwei Lao, Wang Ren, Jian Wang, Jingdong Chen, Wei Chu

AAAI 2022 Width & Depth Pruning for Vision Transformers Fang Yu, Kun Huang, Meng Wang, Yuan Cheng, Wei Chu, Li Cui

CVPR 2021 Discrimination-Aware Mechanism for Fine-Grained Representation Learning Furong Xu, Meng Wang, Wei Zhang, Yuan Cheng, Wei Chu

CVPR 2021 LPSNet: A Lightweight Solution for Fast Panoptic Segmentation Weixiang Hong, Qingpei Guo, Wei Zhang, Jingdong Chen, Wei Chu

AAAI 2020 Automatic Car Damage Assessment System: Reading and Understanding Videos as Professional Insurance Inspectors Wei Zhang, Yuan Cheng, Xin Guo, Qingpei Guo, Jian Wang, Qing Wang, Chen Jiang, Meng Wang, Furong Xu, Wei Chu

ECCV 2020 Variational Connectionist Temporal Classification Linlin Chao, Jingdong Chen, Wei Chu

AAAI 2019 Latent Dirichlet Allocation for Internet Price War Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong

AISTATS 2011 Contextual Bandits with Linear Payoff Functions Wei Chu, Lihong Li, Lev Reyzin, Robert Schapire

AISTATS 2009 Probabilistic Models for Incomplete Multi-Dimensional Arrays Wei Chu, Zoubin Ghahramani

NeurIPS 2007 Gaussian Process Models for Link Analysis and Transfer Learning Kai Yu, Wei Chu

NeurIPS 2007 Hidden Common Cause Relations in Relational Learning Ricardo Silva, Wei Chu, Zoubin Ghahramani

IJCAI 2007 Semi-Supervised Gaussian Process Classifiers Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi

NeurIPS 2006 Relational Learning with Gaussian Processes Wei Chu, Vikas Sindhwani, Zoubin Ghahramani, S. S. Keerthi

NeurIPS 2006 Stochastic Relational Models for Discriminative Link Prediction Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu

NeurIPS 2005 A Matching Pursuit Approach to Sparse Gaussian Process Regression Sathiya Keerthi, Wei Chu

JMLR 2005 Gaussian Processes for Ordinal Regression Wei Chu, Zoubin Ghahramani

ICML 2005 New Approaches to Support Vector Ordinal Regression Wei Chu, S. Sathiya Keerthi

ICML 2005 Preference Learning with Gaussian Processes Wei Chu, Zoubin Ghahramani

ICML 2004 A Graphical Model for Protein Secondary Structure Prediction Wei Chu, Zoubin Ghahramani, David L. Wild

NeCo 2003 Bayesian Trigonometric Support Vector Classifier Wei Chu, S. Sathiya Keerthi, Chong Jin Ong

ICML 2001 A Unified Loss Function in Bayesian Framework for Support Vector Regression Wei Chu, S. Sathiya Keerthi, Chong Jin Ong