I am a PhD candidate in the Department of Computing, The Hong Kong Polytechnic University (PolyU), advised by Prof. Lei Zhang. I received my Bachelor’s and Master’s degrees in South China University of Technology, under the supervision of Prof. Kui Jia. I worked as a Research Intern in DAMO Academy, Alibaba during 2019.1-2021.10. Email: csybzhang[at]comp.polyu.edu.hk or ybzhang815[at]gmail.com

My current research interests include transfer learning, self-supervised learning, semi-supervised learning, and computer vision. More specifically, I am working on the problem of domain generalization and self-supervised learning.

Preprints

Masked Surfel Prediction for Self-Supervised Point Cloud Learning
Yabin Zhang, Jiehong Lin, Chenhang He, Yongwei Chen, Kui Jia, and Lei Zhang. Codes

Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners
Yabin Zhang, Haojian Zhang, Bin Deng, Shuai Li, Kui Jia, and Lei Zhang. Codes

Gradual Domain Adaptation via Self-Training of Auxiliary Models
Yabin Zhang, Bin Deng, Kui Jia, and Lei Zhang. Codes

Publications

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization
Yabin Zhang, Minghan Li, Ruihuang Li, Kui Jia, and Lei Zhang. CVPR2022 Oral. Codes Supp

Unsupervised Domain Adaptation of Black-Box Source Models
Haojian Zhang, Yabin Zhang, Kui Jia, and Lei Zhang. BMVC2021 Codes

Label propagation with augmented anchors: A simple semi-supervised learning baseline for unsupervised domain adaptation
Yabin Zhang, Bin Deng, Kui Jia, and Lei Zhang. European Conferenceon Computer Vision (ECCV), 2020.

Domain-Symnetric Networks for Adversarial Domain Adaptation
Yabin Zhang, Hui Tang, Kui Jia, and Mingkui Tan. Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

Fine-grained Visual Categorization using Meta-learning Optimization with Sample Selection of Auxiliary Data
Yabin Zhang, Hui Tang, and Kui Jia. European Conferenceon Computer Vision (ECCV), 2018.

Unsupervised multi-class domain adaptation: Theory, algorithms, and practice
Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, and Kui Jia. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.

Part-aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network
Yabin Zhang, Kui Jia, and Zhixin Wang. IEEE Transactions on Multimedia (TMM), 2019.

Services

Reviewer of NIPS2022, CVPR2022, ECCV2022, AAAI2022, TIP, TNNLS, ML, TMLR