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

Zheng Gu

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!

News

Publications

CoT-VTM Teaser

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]

LiesGAN Teaser

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 Teaser

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 Teaser

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 Teaser

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 Teaser

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 Teaser

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 Teaser

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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