| I am a third-year Prior to that, I received my M.Eng. from Shanghai Jiao Tong University (SJTU) in 2023, supervised by Prof. Xinyi Le and Prof. Yu Zheng, and my B.Eng. from the same university in 2020. My current research interest mainly lies in low-level vision based on foundation models. CV / Google Scholar / Github |  |
| [2025.11] One paper to appear in TIP. |
| *: Equal Contribution, †: Corresponding Author |
 | Xin Cai, Zhiyuan You, Zhoutong Zhang, Tianfan Xue under review, 2025 paper We introduce Detail-Aligned VAE (DA-VAE), a method that increases the compression ratio of a pretrained VAE while requiring only lightweight adaptation for the pretrained diffusion backbone. |
 | Zhiyuan You, Ke Wang, He Zhang, Xin Cai, Jinjin Gu, Tianfan Xue, Chao Dong, Zhoutong Zhang arXiv, 2025 paper / project page We introduce PhotoFramer, a multi-modal composition instruction framework, to provide composition guidance. Given a poorly composed image, PhotoFramer first describes how to improve the composition in natural language and then generates a well-composed example image. |
 | Xuming He*, Zhiyuan You*, Junchao Gong, Couhua Liu, Xiaoyu Yue, Peiqin Zhuang, Wenlong Zhang†, Lei Bai† Neural Information Processing Systems (NeurIPS), 2025 paper / code / data We introduce an MLLM-based weather forecast quality analysis method, RadarQA, integrating key physical attributes with detailed assessment reports. |
 | Xu Wang, Jingyuan Zhuo, Zhiyuan You, Zhiyu Tan, Yikuan Yu, Siyu Wang, Xinyi Le† Neural Information Processing Systems (NeurIPS), 2025, Datasets & Benchmarks Track paper / code / data We introduce ReinAD dataset, a comprehensive, contrast-based, fine-grained, unaligned, and large-scale dataset towards real-world industrial anomaly detection. |
 | Xinqi Lin, Fanghua Yu, Jinfan Hu, Zhiyuan You, Wu Shi, Jimmy S. Ren, Jinjin Gu†, Chao Dong† ACM Transactions on Graphics (TOG), ACM SIGGRAPH Asia, 2025, Journal Track paper / project page / code / online app / CCTV news reports (央视新闻直播间报道) We introduce HYPIR, a simple yet powerful paradigm: fine-tuning a pre-trained diffusion model with adversarial (GAN) loss — no diffusion sampling, no extra adapters, achieving an unprecedented balance of speed, fidelity, and quality. |
 | Junjie Gao, Runze Liu, Yingzhe Peng, Shujian Yang, Jin Zhang, Kai Yang†, Zhiyuan You† IEEE International Conference on Computer Vision Workshop (ICCVW), 2025 paper / code Our DeQA-Doc wins the Championship 🏆 in the VQualA 2025 DIQA (Document Image Quality Assessment) Challenge, ICCV 2025 Workshop. |
 | Zhiyuan You, Xin Cai, Jinjin Gu, Tianfan Xue†, Chao Dong† IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025 paper / project page / code / data We introduce DeQA-Score, a distribution-based depicted image quality assessment model for score regression. |
 | Zixuan Chen*, Yujin Wang*, Xin Cai, Zhiyuan You, Zheming Lu, Fan Zhang, Shi Guo, Tianfan Xue† IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025, Highlight, Best Demo Honorable Mention paper / project page / github page / code / demo (HuggingFace / OpenXLab) We propose UltraFusion, the first exposure fusion technique that can merge input with 9 stops differences. |
 | Jinfan Hu, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong† IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 paper / code We propose Causal Effect Map (CEM), a model-agnostic and task-agnostic interpreting method for low-level vision models. |
 | Kaiwen Zhu*, Jinjin Gu*, Zhiyuan You, Yu Qiao, Chao Dong† International Conference on Learning Representations (ICLR), 2025 paper / project page / code We introduce AgenticIR, an LLM-based agentic system that utilize various tools for complex image restoration problems. |
 | Jinyu Zhang*, Zhiyuan You*, Jize Wang, Xinyi Le† Association for the Advancement of Artificial Intelligence (AAAI), 2025, Oral paper / code We introduce SAIL, a sample-centric approach selecting tailored in-context examples for training-free document information extraction. |
 | Zhiyuan You, Jinjin Gu, Xin Cai, Zheyuan Li, Kaiwen Zhu, Chao Dong†, Tianfan Xue† IEEE Transactions on Image Processing (TIP), 2025 paper / project page / code / data We introduce DepictQA-Wild, also named Enhanced DepictQA (EDQA), a multi-functional in-the-wild descriptive image quality assessment model. |
 | Xin Cai, Zhiyuan You, Hailong Zhang, Wentao Liu, Jinwei Gu, Tianfan Xue† Neural Information Processing Systems (NeurIPS), 2024, Spotlight paper / project page / code We introduce PhoCoLens, a novel two-stage approach for consistent and photorealistic lensless image reconstruction. |
 | Zhiyuan You*, Zheyuan Li*, Jinjin Gu*, Zhenfei Yin, Tianfan Xue†, Chao Dong† European Conference on Computer Vision (ECCV), 2024 paper / project page / code / data We introduce DepictQA, leveraging multi-modal large language models, allowing for detailed, language-based, and human-like evaluation of image quality. |
 | Jie Liu*, Yinmin Zhang*, Chuming Li, Zhiyuan You, Zhanhui Zhou, Chao Yang, Yaodong Yang†, Yu Liu, Wanli Ouyang Transactions on Machine Learning Research (TMLR), 2024 paper We release MaskMA, a masked pretraining framework for multi-agent decision-making. |
 | Zhiyuan You, Kai Yang, Wenhan Luo, Xin Lu, Lei Cui, Xinyi Le† Winter Conference on Applications of Computer Vision (WACV), 2023, Early Accept paper / code / video We propose a novel SAFECount block, equipped with a similarity comparison module and a feature enhancement module for few-shot object counting. |
 | Zhiyuan You, Lei Cui, Yujun Shen, Kai Yang, Xin Lu, Yu Zheng, Xinyi Le† Neural Information Processing Systems (NeurIPS), 2022, Spotlight paper / code We present UniAD that accomplishes anomaly detection for multiple classes with a unified framework. |
 | Zhiyuan You, Kai Yang, Wenhan Luo, Lei Cui, Yu Zheng, Xinyi Le† International Conference on Neural Information Processing (ICONIP), 2022, Oral paper We propose ADTR to apply a transformer to reconstruct pre-trained features for anomaly detection, and propose novel losses to extend ADTR to anomaly-available case (both image-level & pixel-level labeled). |
 | Zhiyuan You, Junzheng Li, Hongcheng Zhang, Bo Yang, Xinyi Le† Complex & Intelligent Systems (CAIS), 2022 paper / code My undergraduate thesis and my first first-author paper. We propose a novel star identification approach based on spectral graph matching. |
 | Liyang Chen, Zhiyuan You, Nian Zhang, Juntong Xi, Xinyi Le† Neural Networks (NN), 2022 paper / code We introduce UTRAD, a U-TRansformer based Anomaly Detection framework. |
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 | Research Scientist Intern @ Adobe Jul. 2025 - Nov. 2025 Mentor: Dr. Ke Wang, Dr. Zhoutong Zhang, and Dr. He Zhang |
 | Ph.D. Student at Multimedia Laboratory (MMLab) @ The Chinese University of Hong Kong Aug. 2023 - Current Advisor: Prof. Tianfan Xue and Prof. Chao Dong |
 | M.Eng. with Honor @ Shanghai Jiao Tong University Sep. 2020 - Mar. 2023 GPA: 3.76 / 4.0 Advisor: Prof. Xinyi Le and Prof. Yu Zheng |
| B.Eng. with Honor @ Shanghai Jiao Tong University Sep. 2016 - Jun. 2020 GPA: 89.36 / 100, Ranking: 5 / 148 Advisor: Prof. Xinyi Le |
| IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, 2025, 2026 |
| [2023.03] SJTU Excellent Master Dissertation |
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