Ye Zhu

Researcher in CV/ML.


Postdoc Researcher

Ph.D. (she/her)

Princeton University

I am Ye Zhu (竺 烨 in Chinese), currently a postdoc research associate in the Computer Science Department at Princeton University, working with Prof. Olga Russakovsky at the VisualAI lab. My main research focuses on Multimodality Generation, with interdisciplinary research interests in Machine Learning for Physics.

Prior to the postdoc, I received my Ph.D. in Computer Science from Illinois Institute of Technology, USA; and my M.S. and B.S. from Shanghai Jiao Tong University (SJTU), China. I completed my partial education within the French engineering system, which included three years of intensive mathematics and physics training as an undergraduate. Subsequently, I pursued studies at École Polytechnique (X), France and obtained my French Engineering Diploma (Diplôme d’Ingénieur in French).

I serve as a regular reviewer for NeurIPS, ICLR, ICML, CVPR, ECCV, ICCV, and SIGGRAPH. I also hold French language diplomas in both DALF and TCF C1, and was a part-time French translator for the European scientific magazine Science & Vie for 8 years.


Jun 7, 2024 Our Vision + X: A Survey on Multimodal Learning in the Light of Data paper accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)!
May 29, 2024 Our Surveying Image Segmentation Approaches in Astronomy paper accepted to Astronomy and Computing!
May 1, 2024 Our What is Dataset Distillation Learning? paper accepted to ICML 2024.
Feb 25, 2024 I am recently giving a themed talk on the Tuning-free Paradigm for Versatile Applications with Diffusion Models at academia and industrial labs.
Feb 15, 2024 I am co-organizing the first Responsible Generative AI (ReGenAI) workshop at CVPR 24!