Zhijie Deng (邓志杰)

Assistant Professor, Ph.D. Advisor

Qing Yuan Research Institute
School of Electronic Information and Electrical Engineering
Shanghai Jiao Tong University
Shanghai, China

Office: SEIEE-3-301/剑川路930号A栋318C
Email: zhijied@sjtu[dot]edu[dot]cn, dengzhijiethu@gmail[dot]com
[GitHub] [Group] [Google Scholar]

Biography

I am an Assistant Professor at Qing Yuan Research Institute, Shanghai Jiao Tong University. I obtained the Ph.D. degree from Department of Computer Science and Technology, Tsinghua University in June 2022, under the supervision of Prof. Bo Zhang and Prof. Jun Zhu. Before that, I received the B.S. degree from Department of Computer Science and Technology, Tsinghua University in 2017. I was a visiting scholar from July 2016 to September 2016 in Machine Learning Department, Carnegie Mellon University, advised by Prof. Eric P. Xing.

My principal research interests lie in the development of machine learning and statistical methodology, spanning generative models, spectral methods, Bayesian inference, etc. The developed methods have been applied to scenarios such as image/language generation, semi-/self-/un-supervised learning, PDE solving, uncertainty quantification, and trustworthy ML.

Openings

I am looking for visitors and postdocs who have a strong background in mathematics/physics/computer science and are eager to get involved in cutting-edge, fundamental AI research (especially in fields of text, image, and multi-modal content generation). If you are interested, feel free to drop me an email.

Selected Publications [More]

* equal contribution. † corresponding author.

Efficient Large Language Models

Deep Generative Models and Diffusion Models

Date-efficient Learning with Neural Eigenfunctions

Bayesian Deep Learning and Uncertainty Estimation

Talks

Selected Honors & Awards

Services

Conference reviewer: NeurIPS 2019-; ICML 2021-; ICLR 2022-; CVPR 2021-; ICCV 2021-; AISTATS 2024-; ECCV 2022-; AAAI 2021-2022; AutoML 2022
Journal reviewer: TPAMI, TIP, TNNLS, Artificial Intelligence , TITS , Neural Networks , TMLR

Teaching

2024 spring, [CS7352] Advanced Neural Network Theory and Application, in cooperation with Prof. Weiran Huang and Prof. Yonglu Li, Shanghai Jiao Tong University
2024 spring, [CS3507] Science and Technology Innovation (Part 4-J), Shanghai Jiao Tong University
2023 fall, [AI1601] Artificial Intelligence Thinking and Ethics, in cooperation with Prof. Leilei Gu and Prof. Ge Zheng, Shanghai Jiao Tong University
2023 spring, [CS7310H] Algorithm Design and Analysis, in cooperation with Prof. Zhilei Xu, Shanghai Jiao Tong University
2022 fall, assistant of Deep Learning and the Application by Prof. Junchi Yan, Shanghai Jiao Tong University
2019 spring, TA in Statistical Machine Learning, instructed by Prof. Jun Zhu, Tsinghua University
2018 fall, TA in Machine Learning, instructed by Prof. Jie Tang and Prof. Jun Zhu, Tsinghua University

© 2024.09 Zhijie Deng