Zheng Gu

Zheng Gu (顾峥)

I am last-year a Ph.D. candidate at Department of Computer Science and Technology, Nanjing University as a member of Reasoning and Learning Group, advised by Prof. Yang Gao and Prof. Jing Huo.

Currently, I am also a joint Ph.D. at Department of Computer Science and Technology, City Univercity of HongKong, advised by Prof. Jing Liao.

I received my B.Sc. degree in Computer Science and Technology from Nanjing University. My research interests lie in machine learning and computer vision, with a focus on the application and adaptation of generative models in cross-domain and few-shot scenarios.

Email / GitHub / Google Scholar

Publication

	Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model Zheng Gu, Shiyuan Yang, Jing Liao, Jing Huo, 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, 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, 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, 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, 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, Yang Gao ACM Multimedia, 2019 [Paper] [Code]