Seeing What Matters for Action: Bridging Visual Priors and Robotic Control in Vision-Language-Action Models
Alex Wang, Jingyu Sun, Shuanglin Dai, Ziming Lin, Zhiwei Dong, Mengmeng Wang*, Guang Dai, Yong Liu, Jingdong Wang
Latest work, under review.
I am currently an Assistant Professor at the College of Computer Science & Technology, Zhejiang University of Technology. My research interests lie in Robotic Embodied Intelligence, Computer Vision, and Multi-media Technology. Specifically, my work focuses on robotic manipulation, robot perception and cognition, video action recognition, object tracking, training and inference acceleration, and video/image editing.
I received my Ph.D. (2024), M.S. (2018), and B.S. (2015) degrees in Control Science and Engineering from Zhejiang University, under the supervision of Prof. Yong Liu.
I have published over 60 papers in top-tier computer vision journals and conferences (e.g., TPAMI, TIP, TMM, CVPR, ICCV, ICLR, AAAI) and top robotics conferences (ICRA, IROS). I have also served as an Area Chair (AC) for ICCV 2025, ECCV 2026, and WACV 2026, and as a Senior Program Committee (SPC) member for AAAI 2027.
For prospective students interested in robotics and computer vision, feel free to contact me via email!
Full publication list can be found on Google Scholar (opens new window) or Full list.
*corresponding author.
Seeing What Matters for Action: Bridging Visual Priors and Robotic Control in Vision-Language-Action Models
Alex Wang, Jingyu Sun, Shuanglin Dai, Ziming Lin, Zhiwei Dong, Mengmeng Wang*, Guang Dai, Yong Liu, Jingdong Wang
Latest work, under review.
CARE-VLA: Context-Aware Retrieval of Execution Experience for Agentic VLA Planning
Wei Wang, Lei Jia, Yang Luo, Jingyu Sun, Wentao BU, EreJin, Guang Dai, Jingdong Wang, Mengmeng Wang*
Latest work, under review.
DynBridge: Bridging Imagination and Control through Interaction Dynamics for Robot Manipulation
Alex Wang, Zhiwei Dong, Qicheng Bai, Chenshi Zhang, Yujie Yi, Guang Dai, Yong Liu, Mengmeng Wang*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
Exploring Multimodal Adapters with Multi-Task Decoders for Video Action Recognition
Mengmeng Wang, Zeyi Huang, Boyuan Jiang, Guojiang Shen, Xiangjie Kong, Guang Dai,Yong Liu, and Jingdong Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026.
PA-BiCoop: A Primary-Auxiliary Cooperative Framework for General Bimanual Manipulation
Bai Qicheng, Wang Ziru, Ma Teli, Dai Guang, Wang Jingdong, Mengmeng Wang*
IEEE International Conference on Robotics and Automation (ICRA), 2026.
MonoLift: Learning 3D Manipulation Policies from Monocular RGB via Distillation
Alex Wang, Mengmeng Wang*, Guang Dai, Yongliu Long, Jingdong Wang
Neural Information Processing Systems (NeurIPS spotlight), 2025.
[PDF]
DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making
Ziru Wang, Mengmeng Wang*, Jade Dai, Teli Ma, Guo-Jun Qi, Yong Liu, Guang Dai, Jingdong Wang
International Conference on Machine Learning (ICML), 2025.
[PDF]
SRA 2: Variational Autoencoder Self-Representation Alignment for Efficient Diffusion Training
Mengmeng Wang, Dengyang Jiang, Liuzhuozheng Li, Yucheng Lin, Guojiang Shen, Xiangjie Kong, Yong Liu, Guang Dai, Jingdong Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
[PDF]
SRA: No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves
Dengyang Jiang, Mengmeng Wang*, Liuzhuozheng Li, Lei Zhang, Haoyu Wang, Wei Wei, Guang Dai, Yanning Zhang, Jingdong Wang
International Conference on Learning Representations (ICLR), 2026.
TrackAny3D: Transferring Pretrained 3D Models for Category-unified 3D Point Cloud Tracking
Mengmeng Wang, Haonan Wang, Yulong Li, Xiangjie Kong, Jiaxin Du, Guojiang Shen, Feng Xia
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2025.
Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling
Yuzhe YAO, Jun Chen, Zeyi Huang, Haonan Lin, Mengmeng Wang*, Guang Dai, Jingdong Wang
International Conference on Learning Representations (ICLR), 2025.
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing
Haonan Lin, Yan Chen, Jiahao Wang, Wenbin An, Mengmeng Wang*, Feng Tian, Yong Liu, Guang Dai, Jingdong Wang, QianYing Wang
Neural Information Processing Systems (NeurIPS), 2024.
A Multimodal, Multi-Task Adapting Framework for Video Action Recognition
Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu*
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024, (Oral)
ActionCLIP: Adapting Language-Image Pretrained Models for Video Action Recognition
Mengmeng Wang, Jiazheng Xing, Jianbiao Mei, Yong Liu, Yunliang Jiang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
Correlation pyramid network for 3d single object tracking
Mengmeng Wang, Teli Ma, Xingxing Zuo, Jiajun Lv, Yong Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Learning SpatioTemporal and Motion Features in a Unified 2D Network for Action Recognition
Mengmeng Wang, Jiazheng Xing, Jing Su, Jun Chen, Yong Liu*
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking
Teli Ma, Mengmeng Wang, Jimin Xiao, Huifeng Wu, Yong Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching
Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
HR-Depth : High Resolution Self-Supervised Monocular Depth Estimation
Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu*, Xinxin Chen, Yi Yuan
The Association for the Advance of Artificial Intelligence (AAAI), 2021.
FDN: Feature Decoupling Network for Head Pose Estimation
Hao Zhang, Mengmeng Wang, Yong Liu Yi Yuan
The Association for the Advance of Artificial Intelligence (AAAI), 2020.
STM: SpatioTemporal and motion encoding for action recognition
Boyuan Jiang, Mengmeng Wang *, Weihao Gan, Wei Wu, Junjie Yan.
Proceedings of the IEEE International Conference on Computer Vision (ICCV). 2019.
Accurate and Real-time 3D Tracking for the Following Robots by Fusing Vision and Ultra-sonar Information
Mengmeng Wang, Yong Liu*, Daobilige Su, Yufan Liao, Lei Shi and Jinhong Xu.
IEEE/ASME Transactions on Mechatronics, 2018.
Large Margin Object Tracking with Circulant Feature Map
Mengmeng Wang, Yong Liu∗, Zeyi Huang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
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