Guixu Lin

I am an AI Researcher at Shanda AI Research Tokyo, with current research interests in model acceleration for world models and video generation for AI-native game scenarios.

I received my Ph.D. degree in March 2026 from the Graduate School of Information Science and Technology, The University of Tokyo (UTokyo), under the supervision of Prof. Yinqiang Zheng. I obtained my M.S. degree from UTokyo in March 2023. Prior to that, I worked as a Research Assistant at the Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), from 2019 to 2021. I received my B.Eng. degree from the South China University of Technology (SCUT).

Hiring!
I am currently looking for self-motivated interns to join us in Shanghai or Tokyo. Students whose interests align with efficient modeling and acceleration for world models and video models in gaming scenarios are welcome to send their CVs to my email.

Email  /  Google Scholar  /  Github

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News

[2025 January] One paper is accepted by ICLR2025.
[2024 December] One paper is accepted by AAAI2025.
[2024 July] Two papers are accepted by ACMMM2024.
[2023 July] One paper is accepted by ACMMM2023.
Selected Publications

Random Is All You Need: Random Noise Injection on Feature Statistics for Generalizable Deep Image Denoising (ICLR, 2025)
Zhengwei Yin, Hongjun Wang, Guixu Lin, Weihang Ran, Yinqiang Zheng.

Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach (AAAI, 2025)
Guixu Lin , Muyao Niu, Qingtian Zhu, Zhengwei Yin, Zhuoxiao Li, Shengfeng He, Yinqiang Zheng.

FlexIR: Towards Flexible and Manipulable Image Restoration (ACMMM, 2024)
Zhengwei Yin, Guixu Lin, Mengshun Hu, Hao Zhang, Yinqiang Zheng.

Exploring Data Efficiency in Image Restoration: A Gaussian Denoising Case Study (ACMMM, 2024)
Zhengwei Yin, Mingze MA, Guixu Lin, Yinqiang Zheng.

Event-guided Frame Interpolation and Dynamic Range Expansion of Single Rolling Shutter Image (ACMMM, 2023)
Guixu Lin, Jin Han, Mingdeng Cao, Zhihang Zhong, Yinqiang Zheng.

Exploring intercity regional similarity using worldwide location-based social network data (demo paper)(SIGSPATIAL, 2022)
Zipei Fan, Guixu Lin, Wei Yuan, Ryosuke Shibasaki, Pengpeng E, Xuan Song.

Internet of Things positioning technology based intelligent delivery system (IEEE Transactions on Intelligent Transportation Systems, 2022)
Yuhao Yao, Haoran Zhang, Lifeng Lin, Guixu Lin, Ryosuke Shibasaki, Xuan Song, Keping Yu.
Academic Services

Serve as reviewer for TMLR, ICML2026, ICLR 2026, AAAI 2026, ICML 2025, NeurlPS 2024, ACM MM 2024.
Internships

[2025 June - 2025 November] Tencent Video, at Shenzhen China

[2024 July - 2025 May] Singapore Management Univeristy (SMU) at Singapore, supervised by Prof. Shengfeng He