I am a Ph.D. student at CVLAB, University of Electronic Science and Technology of China (UESTC), supervised by Professor Mao Ye. Specifically, I am enrolled in a combined Master and Doctoral program, with my Master's study spanning from 2020 to 2022 and my Ph.D. research continuing from 2022 to the present. Before this, I completed my Bachelor's degree at UESTC (2016–2020). My primary research interests include Large Cloud Model Adaptation and Domain Adaptive Object Detection. Additionally, I have a broad interest in language-vision models, encompassing recognition, detection, and segmentation tasks.
I am open to research collaborations. If you share similar interests or are interested in my previous work, please feel free to contact me.
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.
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.
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
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
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
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
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
OpenReview
Zhihu
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