Donglin Wang
47 papers · 2020–2026 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Machine Learning
(27)
Artificial Intelligence
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Deep Learning
(20)
Reinforcement Learning
(20)
Core AI
(19)
Methods
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Learning Types Β· Machine Learning
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Learning Types Β· Deep Learning
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Keywords
offline reinforcement learning
(11)
representation learning
(5)
vision-language-action model
(4)
reinforcement learning
(4)
diffusion model
(3)
imitation learning
(3)
robot manipulation
(3)
multimodal learning
(3)
prompt tuning
(2)
feature alignment
(2)
intrinsic reward
(2)
few-shot learning
(2)
transfer learning
(2)
proximal policy optimization
(2)
unsupervised domain adaptation
(2)
cross-domain learning
(2)
computational efficiency
(2)
policy learning
(2)
diffusion policy
(2)
visuomotor policy
(2)
Papers
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
CUBic: Coordinated Unified Bimanual Perception and Control Framework
CVPR 2026
Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration
AAAI 2026
HiF-VLA: Hindsight, Insight and Foresight through Motion Representation for Vision-Language-Action Models
CVPR 2026
ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver
AAAI 2026
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach
AAAI 2026
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
AAAI 2026
CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction
ICCV 2025
Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference
AAAI 2025
CSL-L2M: Controllable Song-Level Lyric-to-Melody Generation Based on Conditional Transformer with Fine-Grained Lyric and Musical Controls
AAAI 2025
GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation
ICLR 2025
Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation
CoRL 2025
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning
AAAI 2025
ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning
ICML 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
Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning
ICML 2025
VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation
ICLR 2025
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning
AAAI 2024
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
ICML 2024
Expressive Forecasting of 3D Whole-Body Human Motions
AAAI 2024
Learning Disentangled Identifiers for Action-Customized Text-to-Image Generation
CVPR 2024
Nash CoT: Multi-Path Inference with Preference Equilibrium
EMNLP 2024
PiTe: Pixel-Temporal Alignment for Large Video-Language Model
ECCV 2024
Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation
AAAI 2024
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots
ECCV 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
Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning
CVPR 2024
Behavior Proximal Policy Optimization
ICLR 2023
Beyond Reward: Offline Preference-guided Policy Optimization
ICML 2023
CEIL: Generalized Contextual Imitation Learning
NeurIPS 2023
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning
CoRL 2023
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization
NeurIPS 2023
VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval
CVPR 2023
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning
ICLR 2022
End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection
IJCAI 2022
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
AAAI 2022
Learning to Evolve on Dynamic Graphs (Student Abstract)
AAAI 2022
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation
ECCV 2022
A General Offline Reinforcement Learning Framework for Interactive Recommendation
AAAI 2021
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition
AAAI 2021
Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems
AAAI 2021
Pareto Self-Supervised Training for Few-Shot Learning
CVPR 2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
NeurIPS 2021
Independent Skill Transfer for Deep Reinforcement Learning
IJCAI 2020