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Recruitment / 招生

Our research group recruits Master's and PhD students in Computer Vision and Multimodal Intelligence every year, and we also welcome postdoctoral researchers. In addition, undergraduate students and external interns are encouraged to join the group for research training.

Our group emphasizes research driven by students' interests and long-term academic development. We provide sufficient computing resources, an open and collaborative research environment, and systematic academic guidance. Outstanding students may be recommended to leading universities, research institutes, and top technology companies worldwide.

Students interested in our research directions are welcome to contact me in advance.

招生说明（2026年秋季入学）：

• 博士研究生：1–2 名
• 硕士研究生：2–3 名
• 科研助理及访问实习生：若干名

欢迎对 多模态大模型（Vision-Language Models, VLM） 研究方向感兴趣的同学邮件联系。
请将个人信息及简历发送至：zhangyb@hit.edu.cn
邮件标题格式：[姓名]-[硕士/博士申请]-[学校]-[研究方向]

Selected Publications

Unsupervised multi-class domain adaptation: Theory, algorithms, and practice Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, Kui Jia IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2022 [Paper] [Code]

Exact feature distribution matching for arbitrary style transfer and domain generalization Yabin Zhang, Minghan Li, Ruihuang Li, Kui Jia, Lei Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR Oral). 2022 [Paper] [Code]

Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning Yabin Zhang, Jiehong Lin, Ruihuang Li, Kui Jia, Lei Zhang IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 2025 [Arxiv] [Code]

Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, Lei Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR). 2024 [Paper] [Code]

	Label propagation with augmented anchors: A simple semi-supervised learning baseline for unsupervised domain adaptation Yabin Zhang, Bin Deng, Lei Zhang, Kui Jia European Conference on Computer Vision (ECCV Spotlight). 2022 [Paper] [Code]
	Domain-symmetric networks for adversarial domain adaptation Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan, Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR). 2019 [Paper] [Code]
	Fine-grained visual categorization using meta-learning optimization with sample selection of auxiliary data Yabin Zhang, Hui Tang, Kui Jia, European Conference on Computer Vision (ECCV). 2018 [Paper] [Code]
	Part-aware fine-grained object categorization using weakly supervised part detection network Yabin Zhang, Kui Jia, Zhixin Wang, IEEE Transactions on Multimedia (TMM). [Paper] [Code]
	Unsupervised Domain Adaptation of Black-Box Source Models Haojian Zhang*, Yabin Zhang*, Kui Jia, Lei Zhang, British Machine Vision Conference (BMVC). 2021 [Paper] [Code]

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