Monge Tenure-Track Assistant Professor
I am a Monge tenure-track assistant professor in the Computer Science Department (Département d'Informatique, DIX), École Polytechnique, France. I am also a PI at the DaSciM lab, which is part of the Computer Science Laboratory (Laboratoire d'Informatique, LIX) of École Polytechnique, Institut Polytechnique de Paris (IPP).
My research lies in Machine Learning and Computer Vision, with a particular focus on deep probablistic generative models (e.g., diffusion models and GANs) and their applications in multimodal settings (e.g., vision, audio, and text) as well as in scientific domains (e.g., astrophysical inversions).
Before joining l'X, I spent two years as a postdoctoral researcher at Princeton University, working with Prof. Olga Russakovsky. I earned my Ph.D. in Computer Science under the supervision of Prof. Yan Yan at Illinois Tech in Chicago. I also hold M.S. and B.S. degrees from Shanghai Jiao Tong University (SJTU), and received the French engineering diploma through the dual-degree program with SJTU after studying at École Polytechnique.
📬 For students and external collaborators with questions about my availability, please see the Contact.
⏳ I am currently experiencing a high volume of emails and may be slow to reply. Thank you for your patience!
09/2025: Our works Dynamic diffusion Schrödinger bridge for astrophysical inversions and BNMusic for noise acoustic masking via personalized music generation accepted to NeurIPS 2025. I am traveling to NeurIPS Mexico in December.
09/2025: I joined École Polytechnique as a Monge tenure-track assistant professor in Computer Science.
07/2025: Our work NoiseQuery for enhanced goal driven image generation accepted to ICCV 2025 as a Highlight paper.
02/2025: Our work D3 for scaling up deepfake detection accepted to CVPR 2025.
01/2025: Our work on exploring magnetific field in the interstellar medium via diffusion generative models accepted to The Astrophysical Journal (APJ).
Thanks for your interest in getting in touch! You can reach me at: yezhu[at]lix.polytechnique.fr
Before reaching out, please kindly take a moment to read the notes below to help keep our communication efficient. I usually receive a high volume of emails and messages, so replies may take a few days or sometimes longer, depending on my schedule. Thank you for your patience and understanding — I’ll do my best to respond!
For perspective Ph.D. students:I am not actively recruiting Ph.D. students at the moment. However, opportunities may become available next year. Please check back here for updates!
For prospective M.S. students and research/visiting interns:There is no need to contact me directly if you are applying to the M.S. programs at École Polytechnique (EP) or Institut Polytechnique de Paris (IPP). Please refer to the official program websites for detailed information on application procedures and deadlines.
At the moment, I have limited availability to supervise external visiting students or research interns. The best way to connect with me regarding research opportunities is usually through the classes I teach. Please refer to my Teaching for more information.
For outreach and other service:I occasionally give talks and regularly organize workshops at ML/CV venues such as NeurIPS and CVPR. Workshop talks are generally easier to accommodate if I plan to attend the conference in person. Other outreach activities may depend on my availability during the semester and are subject to my teaching schedule. Please feel free to reach out with details and expectations.