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HTTP/2 200 server: GitHub.com content-type: text/html; charset=utf-8 last-modified: Thu, 25 Dec 2025 02:59:08 GMT access-control-allow-origin: * strict-transport-security: max-age=31556952 etag: W/"694ca87c-2cd4" expires: Sun, 28 Dec 2025 16:05:02 GMT cache-control: max-age=600 content-encoding: gzip x-proxy-cache: MISS x-github-request-id: 7EAA:2D8B9D:7C5ACC:8B6ED2:695152D5 accept-ranges: bytes age: 0 date: Sun, 28 Dec 2025 15:55:02 GMT via: 1.1 varnish x-served-by: cache-bom-vanm7210076-BOM x-cache: MISS x-cache-hits: 0 x-timer: S1766937302.395680,VS0,VE221 vary: Accept-Encoding x-fastly-request-id: 040b2d372b34fccc361c6d59232477bda2a8e670 content-length: 2543 Tianrui Zhu

Tianrui Zhu (朱添瑞)

Hi! I am a first-year master at Tsinghua University, majoring in Artificial Intelligence. Now I am doing research advised by Prof. Yansong Tang. I received my B.S. degree in Electronic Information School, Wuhan University in 2025. Before that, I worked as an intern in LIESMARS advised by Prof. Zhen Dong, doing research in the field of point cloud.

My research interests lie in the fields of AIGC. My current research focuses on image editing and video generation.

Email / Github

Education

	Tsinghua University, 2025.09 - Now M.S. degree in Data Science Shenzhen International Graduate School
	Wuhan University, 2021.09 - 2025.06 B.S. degree in Communication Engineering Electronic Information School

Industrial Experience

ChinaTelecom TeleAI, Shanghai, China. 2024.10 - 2025.02

Project: Efficient inference framework of LLMs.

Work with Dr. JiaWei Shao

News

2025-06: 1 paper about Image Editing was accepted on ICCV 2025 .

Recent Selected Publications

(*Equal Contribution, #Corresponding Author)

	KV-Edit: Training-Free Image Editing for Precise Background Preservation Tianrui Zhu, Shiyi Zhang, Jiawei Shao, Yansong Tang# IEEE International Conference on Computer Vision (ICCV), 2025 [arXiv] [Code] We propose KV-Edit to address the challenge of background preservation in image editing, thereby enhancing the practicality of AI editing.
	Memorize-and-Generate: Towards Long-Term Consistency in Real-Time Video Generation Tianrui Zhu, Shiyi Zhang, Zhirui Sun, Jingqi Tian, Yansong Tang# arXiv preprint, 2025 [arXiv] [Code] We explore MAG framework, which decouples memory and generation into independent tasks, aiming to enhance historical scene consistency while achieving efficient compression for GPU memory.

Selected Honors and Awards

National Schoolship, 2024.

The third prize - National Undergraduate Electronics Design Contest(Analog Electronic System), 2024.

The second prize - National Undergraduate Electronics Design Contest, 2023.

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