Can Cui (崔灿)

Hello! I’m Can Cui (崔灿 in chinese). I recived my Master degree from Shanghai Jiao Tong University in June 2023, and advised by Prof. Tao Fang of Key Laboratory of System Control and Information Processing. Before that, I received my B.Eng. Degree from College of Information Science and Technology, Donghua University (Shanghai, China) in June 2020. Recently, I have been working as a research assistant at MiLAB in the School of Engineering at Westlake University (Hangzhou, China), under the advisement of Prof. Donglin Wang. My research interest includes embodied ai, vision and Language Model, and Computer Vision. I am currently looking for PhD opportunities. Please feel free to contact me at any time!

You can find my CV here: CuiCan’s Curriculum Vitae.

Email / Github / Wechat

News

[Jan 28, 2025] The paper “QUART-Online: Latency-Free Multimodal Large Language Model for Quadruped Robot Learning” got accepted for ICRA 2025.

[Dec 12, 2024] The paper “Score and Distribution Matching Policy: Advanced Accelerated Visuomotor Policies via Matched Distillation” is pre-printed in Arxiv.

[July 16, 2024] The paper “ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-Identification” got accepted for ACM MM 2024.

[June 30, 2024] The paper “GeRM: A Generalist Robotic Model with Mixture-of-experts for Quadruped Robot” got accepted for IROS 2024 (Oral).

[February 09, 2024] During my graduate studies, one of the patents I led was granted.

[August 15, 2023] I join the MiLAB as a research assistant at Westlake University!

[February 13, 2023] The paper “Deep Hashing With Multi-Central Ranking Loss for Multi-Label Image Retrieval” got accepted for IEEE Signal Processing Letters.

Publications

Xinyang Tong, Pengxiang Ding, Yiguo Fan, Donglin Wang, Wenjie Zhang, Can Cui, Mingyang Sun, Han Zhao, Hongyin Zhang, Yonghao Dang, Siteng Huang, Shangke Lyu,"QUART-Online: Latency-Free Multimodal Large Language Model for Quadruped Robot Learning". In International Conference on Robotics and Automation 2025. [Link]

Bofang Jia, Pengxiang Ding, Can Cui, Mingyang Sun, Pengfang Qian, Siteng Huang, Zhaoxin Fan, Donglin Wang,"Score and Distribution Matching Policy: Advanced Accelerated Visuomotor Policies via Matched Distillation". In arXiv preprint arXiv:2412.09265 2024. [Link]

Can Cui, Siteng Huang, Wenxuan Song, Pengxiang Ding, Min Zhang, Donglin Wang, "ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-Identification". In ACM International Conference on Multimedia 2024. [Link]

Wenxuan Song, Han Zhao, Pengxiang Ding, Can Cui, Shangke Lyu, Yaning Fan, Donglin Wang, "GeRM: A Generalist Robotic Model with Mixture-of-experts for Quadruped Robot". In IEEE/RSJ International Conference on Intelligent Robots and Systems 2024. (Oral) [arXiv]

Can Cui, Hong Huo, Tao Fang, "Deep Hashing With Multi-Central Ranking Loss for Multi-Label Image Retrieval". In IEEE Signal Processing Letters. [Link]

Experience

• Research Assistant - Machine Intelligence Lab (MiLAB), Westlake University
  • Time: August 2023 - Present.

Services

Conference Reviewer

• ACM International Conference on Multimedia (ACM MM)

Journal Reviewer

• IEEE Transactions on Multimedia (TMM)
• IEEE Signal Processing Letters (SPL)