← Authors

Donglin Wang

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

Achievements

πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (68) 🌍 Conference Polyglot (11) 🀝 Dynamic Duo (12) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (39) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (153)

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