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Xinle Cheng

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Email: adacheng [at] stu [dot] pku [dot] edu [dot] cn

"Wir müssen wissen, wir werden wissen."  --David Hilbert

I am an undergraduate student at Peking University, majoring in Computer Science. Currently, I have the privilege of working with Prof. Zhihao Jia at CMU's Catalyst as a research intern.

Previously, I worked with Prof. Di He on exciting projects on Large Language Models. Before that, I interned at CoRe Lab under the guidance of Prof. Yixin Zhu, focusing on geometric deep learning.

I am seeking a Ph.D. position in the area of Machine Learning Systems for Fall 2025.

Feel free to drop me an e-mail if you would like to connect!

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I am passionate about machine learning and systems.

• As for machine learning, I focus on Generative AI such as Large Language Models and Diffusion Models.

• As for systems, I am interested in building efficient and scalable systems for machine learning applications.

I am enthusiastic about contributing to the synergy between these fields.

July '24  

 Paper accepted at ECCV 2024, see you in Milan!

Jan '24  

 I was a Conference Reviewer for CVPR 2024!
Image FMap

Zero-Shot Image Feature Consensus with Deep Functional Maps
Xinle Cheng, Congyue Deng†, Adam Harley, Yixin Zhu†, Leonidas Guibas† (†corresponding author)
European Conference on Computer Vision (ECCV), 2024 [paper]

RTO

DPO Meets PPO: Reinforced Token Optimization for RLHF
Han Zhong*, Guhao Feng*, Wei Xiong*, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang
ICML'24 Workshop MHFAIA [paper]

I have a passion for enjoying delicious food and watching musicals. My current favorite musical is Sleep No More.

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