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Donglin Wang

45 papers · 2020–2026 · 11 conferences · across top CS/AI conferences

Achievements

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Conferences

AAAI (17) ICML (7) CVPR (4) ICLR (4) ECCV (3) NIPS (3) CORL (2) IJCAI (2) EMNLP (1) ICCV (1) RSS (1)

Top co-authors

Pengxiang Ding (16) Siteng Huang (14) Jinxin Liu (12) Han Zhao (8) Min Zhang (8) Zifeng Zhuang (8) Yachen Kang (7) Wei Zhao (6) Hongyin Zhang (5) Shangke Lyu (4)

Keywords

offline reinforcement learning (7) representation learning (5) reinforcement learning (3) imitation learning (3) vision-language-action model (2) large language model (2) graph neural network (2) diffusion model (2) intrinsic reward (2) few-shot learning (2) unsupervised domain adaptation (2) feature alignment (2) cross-domain learning (2) computational efficiency (2) prompt tuning (2) transfer learning (2) multimodal learning (2) policy learning (2) robot manipulation (2) policy optimization (1)

Papers

VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model AAAI 2026 ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver AAAI 2026 Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration AAAI 2026 Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach AAAI 2026 Activation-wise Propagation: A One-Timestep Strategy for Spiking Neural Networks AAAI 2026 Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models AAAI 2026 ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning ICML 2025 Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference AAAI 2025 MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning AAAI 2025 CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls AAAI 2025 Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation ICML 2025 Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport ICML 2025 Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation CORL 2025 VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation ICLR 2025 GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation ICLR 2025 CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction ICCV 2025 Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning ICML 2025 QUAR-VLA: Vision-Language-Action Model for Quadruped Robots ECCV 2024 Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation AAAI 2024 Expressive Forecasting of 3D Whole-Body Human Motions AAAI 2024 Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning AAAI 2024 Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation CVPR 2024 Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning CVPR 2024 PiTe: Pixel-Temporal Alignment for Large Video-Language Model ECCV 2024 Nash CoT: Multi-Path Inference with Preference Equilibrium EMNLP 2024 DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation ICML 2024 Reinformer: Max-Return Sequence Modeling for Offline RL ICML 2024 RL2AC: Reinforcement Learning-based Rapid Online Adaptive Control for Legged Robot Robust Locomotion RSS 2024 Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization NIPS 2023 CEIL: Generalized Contextual Imitation Learning NIPS 2023 VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval CVPR 2023 Behavior Proximal Policy Optimization ICLR 2023 Beyond Reward: Offline Preference-guided Policy Optimization ICML 2023 CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning CORL 2023 Learning to Evolve on Dynamic Graphs (Student Abstract) AAAI 2022 Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning AAAI 2022 DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning ICLR 2022 Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation ECCV 2022 End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection IJCAI 2022 Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning NIPS 2021 Pareto Self-Supervised Training for Few-Shot Learning CVPR 2021 Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition AAAI 2021 A General Offline Reinforcement Learning Framework for Interactive Recommendation AAAI 2021 Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems AAAI 2021 Independent Skill Transfer for Deep Reinforcement Learning IJCAI 2020