Zheng Gu   顾峥
Assistant Professor
I am currently an Assistant Professor with the
Visual Computing Research Center (VCC)
(led by
Prof. Hui Huang)
at the
College of Computer Science and Software Engineering, Shenzhen University.
I received my Ph.D. degree from the
Reasoning and Learning (RL) Group
at College of Computer, Nanjing University in 2024, advised by
Prof. Yang Gao
and
Prof. Jing Huo. I
received my dual Ph.D. degree from Department of Computer
Science, City Univercity of Hong Kong, advised by
Prof. Jing Liao. Before that, I received my B.Sc. degree from Nanjing
University in 2017.
My research focuses on machine learning, pattern analysis, and
computer vision, aiming to enhance the transferability and
controllability of visual generative models, exploring their
applications in dynamic open-world scenarios such as few-shot
learning, in-context learning and continual learning.
Address: L6-811, Shenzhen University Cang Hai Campus,
Shenzhen, China
Email: guzheng@szu.edu.cn
Google Scholar
 / 
GitHub  / 
中文
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I am looking for highly motivated graduate and undergraduate
students for research opportunities in machine learning,
computer vision, and generative models starting from Sep.
2025. Feel free to get in touch!
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News
• [2025-01] I join the VCC group at Shenzhen University.
• [2024-12] I defend my PhD thesis at City University of
Hong Kong.
• [2024-11] I defend my PhD thesis at Nanjing
University.
• [2024-10] I am invited to give a talk at PRCV 2024 PhD
Workshop.
• [2024-06] One paper (LiesGAN) is accepted by PRCV
2024.
• [2024-03] One paper (Analogist) is accepted by
SIGGRAPH 2024.
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Task-Aware Few-Shot Image Generation via Dynamic Local
Distribution Estimation and Sampling
Zheng Gu, Wenbin Li*, Tianyu Ding, Zhengli
Wang, Jing Huo, Kuihua Huang, and Yang Gao
Chinese Conference on Pattern Recognition and Computer Vision
(PRCV), 2024
[Paper]
[Code]
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Analogist: Out-of-the-box Visual In-Context Learning with
Image Diffusion Model
Zheng Gu, Shiyuan Yang, Jing Liao*, Jing Huo*,
and Yang Gao
ACM Transactions on Graphics (Proceedings of SIGGRAPH),
2024
[Project Page]
[Paper]
[Arxiv]
[Code]
[Data]
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CariMe: Unpaired Caricature Generation with Multiple
Exaggerations
Zheng Gu, Chuanqi Dong, Jing Huo*, Wenbin Li,
and Yang Gao
IEEE Transactions on Multimedia (TMM), 2021
[Paper]
[Arxiv]
[Code]
[Data]
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LoFGAN: Fusing Local Representations for Few-shot Image
Generation
Zheng Gu†, Wenbin Li†, Jing Huo*, Lei Wang, and Yang Gao
International Conference on Computer Vision (ICCV),
2021
[Paper]
[Code]
[Data]
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Learning Task-aware Local Representations for Few-shot
Learning
Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu,
and Yang Gao*
International Joint Conference on Artificial Intelligence
(IJCAI), 2020
[Paper]
[Code]
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Unsupervised Domain Attention Adaptation Network for
Caricature Attribute Recognition
Wen Ji, Kelei He, Jing Huo*, Zheng Gu, and Yang
Gao
European Conference on Computer Vision (ECCV), 2020
[Paper]
[Code]
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DeepMEF: A Deep Model Ensemble Framework for Video Based
Multi-modal Person Identification
Chuanqi Dong, Zheng Gu, Zhonghao Huang, Wen Ji,
Jing Huo, and Yang Gao
ACM Conference on Multimedia (ACM MM), 2019
[Paper]
[Code]
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Honors
Huawei Scholarship, Nanjing University, 2021
Suzhou Yucai Scholarship, Nanjing University, 2021
Outstanding Postgraduate Student, Nanjing University,
2021
PhD Talent Scholarship, Nanjing University, 2020
3rd Place, iQIYI Celebrity Video Identification
Challenge of ACM MM , 2019
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Teaching
Web-based Programming, Shenzhen University, Instructor, 2025
Spring
CS3402: Database Systems, City University of HongKong,
Teaching Assistant (TA), 2022-2023
Object-oriented Design Method, Nanjing University, Teaching
Assistant (TA), 2019-2020
Artificial Intelligence, Nanjing University, Teaching
Assistant (TA), 2018-2019
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Service
Conference/Journal Reviewer: SIGGRAPH Asia, ICCV, ECCV,
ACCV, WACV, TVCG, Multimedia Systems.
Executive Chair: CCF Nanjing University Student Branch
in 2019-2021.
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Experience
2023.12~2024.07       Research
Assistant at CityU Shenzhen Research Institute
2017.08~2018.07       Serve as a
Volunteer Teacher at Yunnan Province, Southwest China
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You could steal the source code
here
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