Portrait of Jinghao Zhang

Ph.D. researcher
Shanghai, China

Toward Recursive Self-Improvement

Jinghao Zhang 张景皓

Ph.D. Student · University of Science and Technology of China | Shanghai Innovation Institute
Research Intern @ TGT Program · JD Explore Academy

  • LLM Post-training
  • Reinforcement Learning
  • Multimodal Learning

About

I am currently a Ph.D. student at the University of Science and Technology of China (USTC) and Shanghai Innovation Institute (SII), advised by Prof. Feng Zhao and co-advised by Jiaqi Wang. My current research interests include LLM post-training and reinforcement learning. I am also a research intern in the TGT Program at JD Explore Academy, where I work on JoyAI-VL foundation models.

Previously, I worked on computer vision, particularly generative models and low-level vision. I received my bachelor's degree from the School of Electronic Engineering at Xidian University in 2021, advised by Prof. Zhekun Zheng.

Publications

Selected works across reinforcement learning, generative models, and low-level vision tasks.

arXiv · 2024

AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status

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

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

arXiv · 2024

Prototype Clustered Diffusion Models for Versatile Inverse Problems

Jinghao Zhang, Zizheng Yang, Qi Zhu, Feng Zhao

arXiv · 2023

Decomposition Ascribed Synergistic Learning for Unified Image Restoration

Jinghao Zhang, Feng Zhao

CVPR · 2023

Ingredient-oriented Multi-Degradation Learning for Image Restoration

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

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

NeurIPS · 2023

Transition-constant Normalization for Image Enhancement

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

TCSVT · 2023

Learning Spatio-temporal Sharpness Map for Video Deblurring

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

ECCV Oral · 2022

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

ACM MM · 2022

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

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

Experience

JD Explore Academy logo

Oct. 2025 — Present

Research Intern · JD Explore Academy

Multimodal foundation models

Shanghai, China

DAMO Academy logo

Nov. 2023 — Aug. 2024

Research Intern · DAMO Academy, Alibaba

Visual generative models

Hangzhou, China

Honors & Awards

ICML Silver Reviewer

2026

Tech Genius Team · JD Explore Academy

2026

National Scholarship

2023