Shaozhe Hao 郝绍哲

CS Ph.D. candidate @ HKU
szhao [at] cs [dot] hku [dot] hk


I am a fourth-year Ph.D. student in the Department of Computer Science at the University of Hong Kong, advised by Prof. Kenneth K.Y. Wong and Dr. Kai Han. Before that, I obtained my B.E. degree from Huazhong University of Science and Technology.

My research focuses on generative models and representation learning.

🙋 I am actively seeking internship and full-time positions.

News

  • [Aug 2024] One paper is accepted to WACV 2025 in Round 1 (12.1%). Congratulate Zhi!

  • [Jul 2024] Two papers about diffusion models are accepted to ECCV 2024, with one as an Oral.

  • [Mar 2024] One paper, CiPR, about generalized category discovery is finally accepted to TMLR.

More
  • [Sep 2023] One paper about controllable generation is accepted to NeurIPS 2023.

  • [Feb 2023] One paper about compositional zero-shot learning is accepted to CVPR 2023.

  • [Jul 2022] One paper about masked face recognition is accepted to ICIP 2022.

  • [Sep 2021] I start my Ph.D. journey at HKU.


Publications

(*Equal contribution; #Corresponding authors; Project lead)

BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
Shaozhe Hao, Xuantong Liu, Xianbiao Qi, Shihao Zhao, Bojia Zi, Rong Xiao, Kai Han#, Kwan-Yee K. Wong#
arXiv, 2024
[Project page]   [arXiv]   [Code]  

Elucidating the Design Space of Language Models for Image Generation
Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu#, Jun Wang, Rong Xiao, Yuan Yao#
arXiv, 2024
[Project page]   [arXiv]   [Code]  

ArtiFade: Learning to Generate High-quality Subject from Blemished Images
Shuya Yang*, Shaozhe Hao*, Yukang Cao#, Kwan-Yee K. Wong#
arXiv, 2024
[Project page]   [arXiv]   [Code]  

CusConcept: Customized Visual Concept Decomposition with Diffusion Models
Zhi Xu*, Shaozhe Hao*, Kai Han#
WACV 2025
[Project page]   [arXiv]   [Code]  

ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction
Shaozhe Hao, Kai Han#, Zhengyao Lv, Shihao Zhao, Kwan-Yee K. Wong#
ECCV 2024 (Oral)
[Project page]   [arXiv]   [Code]  

Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation
Shihao Zhao, Shaozhe Hao, Bojia Zi, Huaizhe Xu, Kwan-Yee K. Wong
ECCV 2024
[Project page]   [arXiv]   [Code]  

ViCo: Plug-and-play Visual Condition for Personalized Text-to-Image Generation
Shaozhe Hao, Kai Han#, Shihao Zhao, Kwan-Yee K. Wong#
arXiv, 2023
[arXiv]   [Code]  

CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
Shaozhe Hao, Kai Han#, Kwan-Yee K. Wong#
TMLR 2024
[arXiv]   [Code]  

Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Shihao Zhao, Dongdong Chen#, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong#
NeurIPS 2023
[Project page]   [arXiv]   [Code]  

Learning Attention as Disentangler for Compositional Zero-shot Learning
Shaozhe Hao, Kai Han#, Kwan-Yee K. Wong#
CVPR 2023
[Project page]   [arXiv]   [Code]   [Video]  

A Unified Framework for Masked and Mask-Free Face Recognition via Feature Rectification
Shaozhe Hao, Chaofeng Chen, Zhenfang Chen, Kwan-Yee K. Wong
ICIP 2022
[arXiv]   [Code]  

Professional Service

Reviewer for:
  • CVPR (2024), ECCV (2024), AAAI (2025), TMLR, TPAMI, IJCV, TIP

Teaching Assistant for:
  • COMP3317 Computer Vision (Spring 2022, 2023, 2024)

  • COMP7310 Artificial Intelligence of Things (Fall 2023)