Yabin Zhang (张亚斌)I got the PhD degree in Computer Science at The Hong Kong Polytechnic University, under the supervision of Prof. Lei Zhang. I received my Master's and Bachelor's degrees from South China University of Technology, mentored by Prof. Kui Jia. Research Field: Machine Learning | Computer Vision | Vision-Language Models | OOD Generalization and Detection Email: ybzhang815@gmail.com; 20113441r@connect.polyu.hk Other Link: [Google Scholar] [Github] [Zhihu] Upcoming Graduation: I am nearing the completion of my PhD studies and am currently looking for research positions. Feel free to contact me via email. |
2021.01 - Now |
The Hong Kong Polytechnic University
PhD of Computing, Advisor: Prof. Lei Zhang |
2017.09 - 2020.06 |
South China University of Technology, Guangzhou, China
Master of Signal and Information Processing, Advisor: Prof. Kui Jia |
2013.09 - 2017.06 |
South China University of Technology, Guangzhou, China
Bachelor of Electronic and Information Engineering |
Unsupervised multi-class domain adaptation: Theory, algorithms, and practice
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2022
|
Exact feature distribution matching for arbitrary style transfer and domain generalization
Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR Oral). 2022
|
Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR). 2024
|
Label propagation with augmented anchors: A simple semi-supervised learning baseline for unsupervised domain adaptation
European Conference on Computer Vision (ECCV Spotlight). 2022
|
|
Domain-symmetric networks for adversarial domain adaptation
Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR). 2019
|
|
Fine-grained visual categorization using meta-learning optimization with sample selection of auxiliary data
European Conference on Computer Vision (ECCV). 2018
|
|
Part-aware fine-grained object categorization using weakly supervised part detection network
IEEE Transactions on Multimedia (TMM).
|
|
Unsupervised Domain Adaptation of Black-Box Source Models
British Machine Vision Conference (BMVC). 2021
|