Portrait of Zhang Jinghao

Jinghao Zhang

Ph.D. Student · Universiy of Science and Technolofy of China & Shanghai Innovation Institute Large Reasoning Models · RL Algorithms · Multimodal Models

About

Bio

My name is Jinghao Zhang (张景皓). I am now a Ph.D. student at the University of Science and Technology of China & Shanghai Innovation Institute, advised by Prof. Feng Zhao, and co-advised by Jiaqi Wang. My current research interests include LLM post-training and reinforcement learning. And previously,

I worked in computer vision, especially generative models and low-level vision tasks. I obtained my Bachelor degree from the School of Electronic Engineering at XiDian University in 2021, advised by Prof. Zhekun Zheng.

Selected

Publications

ArXiv 2025

RLFR: Extending Reinforcement Learning for LLMs with Flow Environment

Jinghao Zhang, Naishan Zheng, Ruilin Li, Dongzhou Cheng, Zheming Liang, Feng Zhao, Jiaqi Wang

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ArXiv 2025

EtCon: Edit-then-Consolidate for Reliable Knowledge Editing

Ruilin Li, Yibin Wang, Wenhong Zhu, Chenglin Li, Jinghao Zhang, Chenliang Li, Junchi Yan, Jiaqi Wang

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ICLR 2026

Group Critical-token Policy Optimization for Autoregressive Image Generation

Guohui Zhang, Hu Yu, Xiaoxiao Ma, Jinghao Zhang, Yaning Pan, Mingde Yao, Jie Xiao, Linjiang Huang, Feng Zhao

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ArXiv 2024

AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status

Jinghao Zhang, Wen Qian, Hao Luo, Fan Wang, Feng Zhao

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ECCV 2024

Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing

Zizheng Yang, Hu Yu, Bing Li, Jinghao Zhang, Jie Huang, Feng Zhao

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ArXiv 2024

Prototype Clustered Diffusion Models for Versatile Inverse Problems

Jinghao Zhang, Zizheng Yang, Qi Zhu, Feng Zhao

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ArXiv 2023

Decomposition Ascribed Synergistic Learning for Unified Image Restoration

Jinghao Zhang, Feng Zhao

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CVPR 2023

Ingredient-oriented Multi-Degradation Learning for Image Restoration

Jinghao Zhang, Jie Huang, Mingde Yao, Zizheng Yang, Hu Yu, Man Zhou, Feng Zhao

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CVPR 2023

Visual Recognition-Driven Image Restoration for Multiple Degradation with Intrinsic Semantics Recovery

Zizheng Yang, Jie Huang, Jiahao Chang, Man Zhou, Hu Yu, Jinghao Zhang, Feng Zhao

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NeurIPS 2023

Transition-constant Normalization for Image Enhancement

Jie Huang, Man Zhou, Jinghao Zhang, Gang Yang, Mingde Yao, Chongyi Li, Zhiwei Xiong, Feng Zhao

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TCSVT 2023

Learning Spatio-temporal Sharpness Map for Video Deblurring

Qi Zhu, Naishan Zheng, Jie Huang, Man Zhou, Jinghao Zhang, Feng Zhao

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ECCV 2022 (Oral)

Deep Fourier-based Exposure Correction Network with Spatial-Frequency Interaction

Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, Zhiwei Xiong

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ACM MM 2022

Structure- and Texture-Aware Learning for Low-Light Image Enhancement

Jinghao Zhang, Jie Huang, Mingde Yao, Man Zhou, Feng Zhao

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Research

Experience

USTC logo

Oct. 2025 — Present

Research Intern, JD Explore Academy

Topic: Vision-Language Foundation Model Training

Shanghai, China

DAMO Academy logo

Nov. 2023 — Aug. 2024

Research Intern, DAMO Academy, Alibaba

Topic: Visual generative models

Hangzhou, China

Recognition

Honors & Awards

National Scholarship, 2023

Contact

Get in touch

Email

Location

31.2304° N, 121.4737° E · Shanghai, China

Links

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