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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Wed, 22 Oct 2025 06:00:48 GMT access-control-allow-origin: * etag: W/"68f87310-627c" expires: Mon, 29 Dec 2025 22:48:07 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: 901A:3827E5:966D45:A8D664:695302CF accept-ranges: bytes age: 0 date: Mon, 29 Dec 2025 22:38:07 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210062-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1767047888.586889,VS0,VE200 vary: Accept-Encoding x-fastly-request-id: 50059924c028faebd88c8cfeb3a85a6f9e75c2d7 content-length: 5114 Zheng Gu

Zheng Gu 顾峥

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 University of Hong Kong, advised by Prof. Jing Liao. I received my B.Sc. degree from Nanjing University in 2017.

My research focuses on machine learning, pattern analysis, and computer vision. Recently, I'm interested in enhancing the transferability and controllability of Multi-modal generative models, exploring their applications in dynamic and 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

News

[2025-05] One paper on visual-to-music generation is accepted by ACL Findings 2025.
[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 on few-shot image generation is accepted by PRCV 2024.
[2024-03] One paper on visual in-context learning is accepted by SIGGRAPH 2024.

Publications

CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning

Xikang Guan, Zheng Gu, Jing Huo*, Tianyu Ding, and Yang Gao

Findings of the Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2025

MTV-Inpaint: Multi-Task Long Video Inpainting

Shiyuan Yang, Zheng Gu, Liang Hou, Xin Tao, Pengfei Wan, Xiaodong Chen, and Jing Liao

arxiv preprint, 2025

[Project Page] [Arxiv] [Hugging Face]

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]

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]

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]

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]

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]

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]

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]

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

Teaching

Fundamentals of Computer, Shenzhen University, Instructor, 2025 Fall
Algorithm Design and Analysis, Shenzhen University, Instructor, 2025 Fall
Web-based Programming, Shenzhen University, Instructor, 2025 Spring
CS3402: Database Systems, City University of HongKong, Teaching Assistant, 2022-2023
Object-oriented Design Method, Nanjing University, Teaching Assistant, 2019-2020
Artificial Intelligence, Nanjing University, Teaching Assistant, 2018-2019

Service

Conference/Journal Reviewer: SIGGRAPH Asia, ICCV, ECCV, ACCV, WACV, TVCG, Multimedia Systems.
Executive Chair: CCF Nanjing University Student Branch in 2019-2021.

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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