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Jinghao Zhang (张景皓)
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About
I am currently a Ph.D. student at the Department of Automation, University of Science and Technology of China (USTC), advised by Prof. Feng Zhao at BIVLab. I obtained my Bachelor degree in the School of Electronic Engineering, XiDian University (XDU) in 2021. My current research include reasoning in large language models and Reinforcement Learning, and I previously worked in computer vision, especially generative models and low-level vision tasks.
Selected Publications
Jinghao Zhang, Wen Qian, Hao Luo, Fan Wang, and Feng Zhao. AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status.
Arxiv, 2024.
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Zizheng Yang, Hu Yu, Bing Li, Jinghao Zhang, Jie Huang, and Feng Zhao. Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing.
In European Conference on Computer Vision, 2024 (ECCV).
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Jinghao Zhang, Zizheng Yang, Qi Zhu, and Feng Zhao. Prototype Clustered Diffusion Models for Versatile Inverse Problems.
Arxiv, 2024.
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Jinghao Zhang, and Feng Zhao. Decomposition Ascribed Synergistic Learning for Unified Image Restoration.
Arxiv, 2023.
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Jinghao Zhang, Jie Huang, Mingde Yao, Zizheng Yang, Hu Yu, Man Zhou, and Feng Zhao. Ingredient-oriented Multi-Degradation Learning for Image Restoration.
In IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR).
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Jie Huang, Man Zhou, Jinghao Zhang, Gang Yang, Mingde Yao, Chongyi Li, Zhiwei Xiong, and Feng Zhao. Transition-constant Normalization for Image Enhancement.
Advances in Neural Information Processing Systems, 2023 (NeurIPS).
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Zizheng Yang, Jie Huang, Jiahao Chang, Man Zhou, Hu Yu, Jinghao Zhang, Feng Zhao. Visual Recognition-Driven Image Restoration for Multiple Degradation with Intrinsic Semantics Recovery.
In IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR).
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Qi Zhu, Naishan Zheng, Jie Huang, Man Zhou, Jinghao Zhang, and Feng Zhao. Learning spatio-temporal sharpness map for video deblurring.
IEEE Transactions on Circuits and Systems for Video Technology, 2023 (TCSVT).
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Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, and Zhiwei Xiong. Deep Fourier- based Exposure Correction Network with Spatial-Frequency Interaction.
In European Conference on Computer Vision, 2022 (ECCV, Oral).
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Jinghao Zhang, Jie Huang, Mingde Yao, Man Zhou, and Feng Zhao. Structure- and Texture-Aware Learning for Low-Light Image Enhancement.
In ACM International Conference on Multimedia, 2022 (ACM MM).
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