Wang, Donglin

43 publications

ICLR 2026 Spatial Forcing: Implicit Spatial Representation Alignment for Vision-Language-Action Model Fuhao Li, Wenxuan Song, Han Zhao, Jingbo Wang, Pengxiang Ding, Donglin Wang, Long Zeng, Haoang Li

ICLR 2026 Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denosing Diffusion Process Jiayi Chen, Wenxuan Song, Pengxiang Ding, Ziyang Zhou, Han Zhao, Feilong Tang, Donglin Wang, Haoang Li

NeurIPS 2025 Boundary-to-Region Supervision for Offline Safe Reinforcement Learning Huikang Su, Dengyun Peng, Zifeng Zhuang, YuHan Liu, Qiguang Chen, Donglin Wang, Qinghe Liu

ICCV 2025 CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction Zhefei Gong, Pengxiang Ding, Shangke Lyu, Siteng Huang, Mingyang Sun, Wei Zhao, Zhaoxin Fan, Donglin Wang

AAAI 2025 CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls Li Chai, Donglin Wang

AAAI 2025 Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang

ICLR 2025 GEVRM: Goal-Expressive Video Generation Model for Robust Visual Manipulation Hongyin Zhang, Pengxiang Ding, Shangke Lyu, Ying Peng, Donglin Wang

CoRL 2025 Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation Yiguo Fan, Shuanghao Bai, Xinyang Tong, Pengxiang Ding, Yuyang Zhu, Hongchao Lu, Fengqi Dai, Wei Zhao, Yang Liu, Siteng Huang, Zhaoxin Fan, Badong Chen, Donglin Wang

AAAI 2025 MGDA: Model-Based Goal Data Augmentation for Offline Goal-Conditioned Weighted Supervised Learning Xing Lei, Xuetao Zhang, Donglin Wang

ICML 2025 ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning Hongyin Zhang, Zifeng Zhuang, Han Zhao, Pengxiang Ding, Hongchao Lu, Donglin Wang

ICML 2025 Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation Shuanghao Bai, Wanqi Zhou, Pengxiang Ding, Wei Zhao, Donglin Wang, Badong Chen

NeurIPS 2025 SSR: Enhancing Depth Perception in Vision-Language Models via Rationale-Guided Spatial Reasoning Yang Liu, Ming Ma, Xiaomin Yu, Pengxiang Ding, Han Zhao, Mingyang Sun, Siteng Huang, Donglin Wang

ICML 2025 Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport Mingyang Sun, Pengxiang Ding, Weinan Zhang, Donglin Wang

ICML 2025 Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning Huaicheng Zhou, Zifeng Zhuang, Donglin Wang

ICLR 2025 VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation Wei Zhao, Pengxiang Ding, Zhang Min, Zhefei Gong, Shuanghao Bai, Han Zhao, Donglin Wang

AAAI 2024 Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang

ICML 2024 DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation Jinxin Liu, Xinghong Guo, Zifeng Zhuang, Donglin Wang

AAAI 2024 Expressive Forecasting of 3D Whole-Body Human Motions Pengxiang Ding, Qiongjie Cui, Haofan Wang, Min Zhang, Mengyuan Liu, Donglin Wang

CVPR 2024 Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation Siteng Huang, Biao Gong, Yutong Feng, Xi Chen, Yuqian Fu, Yu Liu, Donglin Wang

ECCV 2024 PiTe: Pixel-Temporal Alignment for Large Video-Language Model Yang Liu, Pengxiang Ding, Siteng Huang, Min Zhang, Han Zhao, Donglin Wang

AAAI 2024 Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation Shuanghao Bai, Min Zhang, Wanqi Zhou, Siteng Huang, Zhirong Luan, Donglin Wang, Badong Chen

ECCV 2024 QUAR-VLA: Vision-Language-Action Model for Quadruped Robots Pengxiang Ding, Han Zhao, Wenjie Zhang, Wenxuan Song, Min Zhang, Siteng Huang, Ningxi Yang, Donglin Wang

ICML 2024 Reinformer: Max-Return Sequence Modeling for Offline RL Zifeng Zhuang, Dengyun Peng, Jinxin Liu, Ziqi Zhang, Donglin Wang

CVPR 2024 Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning Siteng Huang, Biao Gong, Yutong Feng, Min Zhang, Yiliang Lv, Donglin Wang

ICLR 2023 Behavior Proximal Policy Optimization Zifeng Zhuang, Kun Lei, Jinxin Liu, Donglin Wang, Yilang Guo

ICML 2023 Beyond Reward: Offline Preference-Guided Policy Optimization Yachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang

NeurIPS 2023 CEIL: Generalized Contextual Imitation Learning Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu

CoRL 2023 CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning Jinxin Liu, Lipeng Zu, Li He, Donglin Wang

NeurIPS 2023 Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang

CVPR 2023 VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval Siteng Huang, Biao Gong, Yulin Pan, Jianwen Jiang, Yiliang Lv, Yuyuan Li, Donglin Wang

ICLR 2022 DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning Jinxin Liu, Zhang Hongyin, Donglin Wang

IJCAI 2022 End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection Tiancheng Huang, Donglin Wang, Yuan Fang, Zhengyu Chen

AAAI 2022 Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen

AAAI 2022 Learning to Evolve on Dynamic Graphs (Student Abstract) Xintao Xiang, Tiancheng Huang, Donglin Wang

ECCV 2022 Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang

AAAI 2021 A General Offline Reinforcement Learning Framework for Interactive Recommendation Teng Xiao, Donglin Wang

AAAI 2021 Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang

AAAI 2021 Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems Zhengyu Chen, Ziqing Xu, Donglin Wang

CVPR 2021 Pareto Self-Supervised Training for Few-Shot Learning Zhengyu Chen, Jixie Ge, Heshen Zhan, Siteng Huang, Donglin Wang

NeurIPS 2021 Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning Jinxin Liu, Hao Shen, Donglin Wang, Yachen Kang, Qiangxing Tian

IJCAI 2020 Independent Skill Transfer for Deep Reinforcement Learning Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang

ECCV 2014 A Robust Vision-Based Framework for Screen Readers Michael Cormier, Robin Cohen, Richard Mann, Kamal Rahim, Donglin Wang

ECCVW 2014 A Robust Vision-Based Framework for Screen Readers Michael Cormier, Robin Cohen, Richard Mann, Kamal Rahim, Donglin Wang