Kun Wu
Orcid: 0000-0003-2095-2140Affiliations:
- Syracuse University, USA
  According to our database1,
  Kun Wu
  authored at least 30 papers
  between 2019 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
- 
    on orcid.org
On csauthors.net:
Bibliography
  2025
MLA: A Multisensory Language-Action Model for Multimodal Understanding and Forecasting in Robotic Manipulation.
    
  
    CoRR, September, 2025
    
  
    CoRR, July, 2025
    
  
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning.
    
  
    IEEE Trans. Neural Networks Learn. Syst., June, 2025
    
  
    CoRR, June, 2025
    
  
ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot Learning.
    
  
    CoRR, June, 2025
    
  
    CoRR, June, 2025
    
  
TinyVLA: Toward Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation.
    
  
    IEEE Robotics Autom. Lett., April, 2025
    
  
    CoRR, February, 2025
    
  
Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation.
    
  
    Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025
    
  
Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation.
    
  
    Proceedings of the IEEE International Conference on Robotics and Automation, 2025
    
  
Learning From Imperfect Demonstrations With Self-Supervision for Robotic Manipulation.
    
  
    Proceedings of the IEEE International Conference on Robotics and Automation, 2025
    
  
  2024
    ACM Trans. Intell. Syst. Technol., February, 2024
    
  
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning.
    
  
    CoRR, 2024
    
  
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation.
    
  
    CoRR, 2024
    
  
Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation.
    
  
    CoRR, 2024
    
  
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation.
    
  
    CoRR, 2024
    
  
An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation.
    
  
    CoRR, 2024
    
  
SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation.
    
  
    CoRR, 2024
    
  
  2023
Multi-Clue Reasoning with Memory Augmentation for Knowledge-based Visual Question Answering.
    
  
    CoRR, 2023
    
  
    CoRR, 2023
    
  
  2022
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving.
    
  
    Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
    
  
  2021
PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking.
    
  
    IEEE J. Sel. Areas Commun., 2021
    
  
EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads.
    
  
    Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
    
  
    Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
    
  
  2020
    Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
    
  
  2019
    Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019