CV

🛕 Education

Ph.D., University of Electronic Science and Technology of China

Combined Master and Doctoral Program
- M.S.: Sep. 2020 – Jun. 2022
- Ph.D.: Sep. 2022 – Present
Computer Science and Technology
Supervisor: Prof. Mao Ye

Sep. 2020 – Present

B.S., University of Electronic Science and Technology of China

Computer Science and Technology
GPA: 3.82/4.0, Top 20% Students
Postgraduate Recommendation

Sep. 2016 – Jun. 2020

🧐 Research Experience

Large Cloud Model Adaptation

Cloud Object Detector Adaptation

2024 – Present

Domain Adaptive Object Detection

Unsupervised Domain Adaptive Object Detection
Source-free Object Detection

2020 – Present

Multi-Modal Pedestrian Detection

Thermal Pedestrian Detection
Multispectral Pedestrian Detection

2023 – Present

🎯 Publications

Cloud Object Detector Adaptation by Integrating Different Source Knowledge

Shuaifeng Li, Mao Ye, Lihua Zhou, Nianxin Li, Siying Xiao, Song Tang, Xiatian Zhu. The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.

Key Words: Cloud Object Detector Adaptation; Gradient Direction Alignment

We propose to explore an interesting and promising problem CODA.

Source-Free Object Detection by Learning to Overlook Domain Style

Shuaifeng Li, Mao Ye, Xiatian Zhu, Lihua Zhou, Lin Xiong. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, ORAL.

Key Words: Source-Free Object Detection; Style Enhancement; Overlooking Style

We propose a novel learning to overlook domain style strategy for SFOD.

Adversarial Experts Model for Black-box Domain Adaptation

Siying Xiao, Mao Ye, Qichen He, Shuaifeng Li, Song Tang, Xiatian Zhu. Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM), 2024.

Key Words: Black-box Domain Adaptation; CLIP; Adversarial Experts

Paper | Code | Video

Rethinking Weak-to-Strong Augmentation in Source-Free Domain Adaptive Object Detection

Jiuzheng Yang, Song Tang, Yangkuiyi Zhang, Shuaifeng Li, Mao Ye, Jianwei Zhang, Xiatian Zhu. arXiv preprint, 2024.

Key Words: Source-Free Object Detection; Weak-to-Strong Contrastive Learning

Paper

Adaptive Mutual Learning for Unsupervised Domain Adaptation

Lihua Zhou, Siying Xiao, Mao Ye, Xiatian Zhu, Shuaifeng Li. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.

Key Words: Unsupervised Domain Adaptation; Adaptive Mutual Learning

Paper

Class Discriminative Adversarial Learning for Unsupervised Domain Adaptation

Lihua Zhou, Mao Ye, Xiatian Zhu, Shuaifeng Li, Yiguang Liu. Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022.

Key Words: Unsupervised Domain Adaptation; Class Discriminative Adversarial Learning

Paper | Code | Video

Source-Style Transferred Mean Teacher for Source-data Free Object Detection

Dan Zhang, Mao Ye, Lin Xiong, Shuaifeng Li, Xue Li. Proceedings of the 3rd ACM International Conference on Multimedia in Asia (ACM MM Asia), 2021.

Key Words: Source-Free Object Detection; Batch Normalization Adaptation

Paper

🏆️ Selected awards

[2024] Second Prize, China Postgraduate Mathematical Contest in Modeling
[2020–2024] Multiple Academic Excellence Scholarships (First Class, Second Class)
[2022] Academic Seedling Award, University of Electronic Science and Technology of China
[2016–2020] Multiple National Encouragement Scholarships and Outstanding Student Scholarships (Top 20% Students)

🧭 Service

Conference Reviewer
- ACM International Conference on Multimedia (ACM MM), 2023, 2024, 2025
- The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
- International Conference on Computer Vision, ICCV 2025
Journal Reviewer
- Knowledge-Based Systems (KBS)