[1] S. Lyu, Z. Wei, D. Wang*, "The Robotic Guide Dog for individuals with visual impairments", Nature Reviews Electrical Engineering, Accepted 2024.

[2] P. Ding, H. Zhao, W. Song, W. Zhang, M. Zhang, S. Huang, N. Yang, D. Wang*. "QUAR-VLA: Vision-Language-Action Model for Quadruped Robots", The 18th European Conference on Computer Vision (ECCV), 2024. (第一个足式机器人VLA大模型)

[3] Y. Liu, P. Ding, S. Huang, M. Zhang, H. Zhao, D. Wang*. "PiTe: Pixel-Temporal Alignment for Large Video-Language Model", The 18th European Conference on Computer Vision (ECCV), 2024 (ECCV Oral: 2.3%).

[4] S. Lyu, X. Lang, H. Zhao, H. Zhang, P. Ding, D. Wang*, "RL2AC: Reinforcement Learning-based Rapid Online Adaptive Control for Legged Robot Robust Locomotion", Robotics: Science and Systems (RSS), 2024.

[5] Z. Zhuang, D. Peng, J. Liu, Z. Zhang, D. Wang*, "Reinformer: Max-Return Sequence Modeling for offline RL", International Conference on Machine Learning (ICML), 2024.

[6] J. Liu, X. Guo, Z. Zhuang, D. Wang*, "DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation", International Conference on Machine Learning (ICML), 2024.

[7] Z. Zhuang, K. Lei, J. Liu, D. Wang*, Y. Guo. "Behavior Proximal Policy Optimization," In Proceedings of The International Conference on Learning Representations (ICLR), 2023.

[8] J. Liu, L. He, Y. Kang, Z. Zhuang, D. Wang*, H. Xu, "CEIL: Generalized Contextual Imitation Learning", Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.

[9] Y. Kang, D. Shi, J. Liu, L. He, D. Wang*. “Beyond Reward: Offline Preference-guided Policy Optimization,” In Proceedings of the Fortieth International Conference on Machine Learning (ICML), 2023. (第一个奖励无关人在回路强化学习方法)

[10] J. Liu, H. Zhang, D. Wang*, "DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning," International Conference on Learning Representations (ICLR), 2022.

[11] J. Liu, H. Shen, D. Wang*, Y. Kang, Q. Tian, "Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning," Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS), 2021.

[12] H. Zhao, M. Zhang, W. Zhao, P. Ding, S. Huang, D. Wang*. "Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference", Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2025.

[13] S. Huang, B. Gong, Y. Pan, J. Jiang, Y. Lv, Y. Li, D.Wang*. "VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal Retrieval," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

[14] Z. Chen, J. Ge, H. Zhan, S. Huang, D. Wang*, "Pareto Self-Supervised Training for Few-Shot Learning," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

[15] T. Wang, Z. Wu, D. Wang*, "Visual Perception Generalization for Vision-and-Language Navigation via Meta-Learning," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.

*A list of published papers can be found on laboratory's homepage: https://milab.westlake.edu.cn/.

Main Projects:

1. National Science and Technology Innovation 2030- Major Project (tens of millions of projects), "Deep Reinforcement Learning Methods for Brain-like Chips", 2022-2027, PI.

2. National Natural Science Foundation of China, "Theory and Application of Reinforcement Learning in the Behavioral Intelligence of Quadruped Robots", 2022-2025, PI.

3. Key Project of Zhejiang Natural Science Foundation, "A New Height in the Field of Positioning -- Theoretical Research on Millimeter Level Ultra-High Precision Wireless Positioning", 2019-2022, PI.