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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Thu, 28 Aug 2025 19:56:02 GMT access-control-allow-origin: * strict-transport-security: max-age=31556952 etag: W/"68b0b452-5c45" expires: Mon, 29 Dec 2025 17:02:11 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: C04A:36A0B4:91B6B4:A36F9E:6952B1BA accept-ranges: bytes age: 0 date: Mon, 29 Dec 2025 16:52:11 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210088-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767027131.904321,VS0,VE212 vary: Accept-Encoding x-fastly-request-id: 5ff924f55cd58ed7807c1005021011565f9db3fa content-length: 4908 Yabin Zhang

Yabin Zhang (张亚斌)

I work in Stanford University as a Postdoctoral Researcher in the Stanford University, advised by Prof. Curtis Langlotz. 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; yabin@stanford.edu; 20113441r@connect.polyu.hk

Other Link: [Google Scholar] [Github] [Zhihu]

News

[04/2025] One paper Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection gets accepted to ACMMM 2025. [Paper][Code]

[04/2025] One paper Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning gets accepted to TNNLS. [Paper][Code]

[02/2025] I have joined Stanford University as a Postdoctoral Researcher, advised by Prof. Curtis Langlotz.

[09/2024] One paper AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models gets accepted to NeurIPS 2024. [Paper][Code]

[07/2024] Two papers have been accepted by ECCV 2024:

LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models [Paper] [Code]
ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation [Paper]

[03/2024] One paper DMN for versatile adaptation of vision-language models gets accepted to CVPR 2024. [Paper][Code]

Education

2025.02 - Now	Stanford University Postdoctoral Researcher, Advisor: Prof. Curtis Langlotz
2021.01 - 2024.11	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

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]

Services

Program Committee/Reviewers: CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS, SIGGRAPH, AAAI, ACMMM, TPAMI, IJCV, TIP, TMM, TNNLS, TMLR.

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