Cheng Lu (路橙) 

Member of Technical Staff, OpenAI

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I am a research scientist at OpenAI. I received my Ph.D. degree from TSAIL Group in the Department of Computer Science and Technology, Tsinghua University, advised by Prof. Jun Zhu in December 2023. Before that, I received my B.S. degree from the Department of Computer Science and Technology, Tsinghua University in July, 2019.

Currently, my research interest includes topics on theoretical understandings and scalable algorithms for deep generative models, including diffusion models, normalizing flows and energy-based models, and their applications in computer vision, 3D generation and offline reinforcement learning.

My Doctoral Dissertation (in Chinese): Research on Invertible Generative Models and Efficient Algorithms, supervised by Prof. Jun Zhu, 2019.

Research Highlight

* indicates co-first authors.


* indicates co-first authors.


Honors & Awards



NeurIPS (2021, 2022 with Top Reviewer, 2022 workshop); ICML (2021-2024); ICLR (2021, 2023-2024); CVPR (2023-2024); ICCV 2023; ECCV 2024; IJCV;


huggingface/diffusers, the most widely-used library for diffusion models.


2021 Spring, Head TA in Statistical Learning Theory and Applications, instructed by Prof. Jun Zhu
2021 Spring, TA in Deep Learning, instructed by Prof. Xiaolin Hu and Prof. Jun Zhu


I was a bass singer in Chorus of Tsinghua University with a vocal range of C2-F4 (where C2 is also known as "low C"). I won the top ten compus singers competition of Tsinghua University in 2019 by singing a famous jazz song Autumn Leaves. I love singing!
© 2024 Cheng Lu