Yucheng Xing
Ph.D. | Research Associate at Stony Brook University
Biography
I am a Research Associate at Stony Brook University and received my Ph.D. in Electrical Engineering from Stony Brook University in 2026, advised by Professor Xin Wang. My research focuses on Efficient Generative AI (Diffusion Models), Continuous-Time Neural Modeling (Neural ODEs/SDEs), and Adaptive Neural Architectures, with an emphasis on efficient inference and input-adaptive computation. I received my M.S. in Electrical Engineering from Stony Brook University in 2021 and my B.S. in Computer Science and Technology (IEEE Honor Class) from Shanghai Jiao Tong University in 2017.
News
- 06/2026 — Puppet-CNN was accepted to ECCV 2026.
- 05/2026 — Successfully defended my Ph.D. dissertation.
- 09/2024 — An extended version of AGGDN was published in Intelligent and Converged Networks.
- 08/2024 — ∞-Net was accepted to ICONIP 2024.
- 05/2024 — Passed my oral preliminary examination.
- 01/2024 — A co-authored book chapter on AI-enabled smart grid was published.
- 08/2023 — AGGDN was accepted to ICONIP 2023.
- 07/2023 — HDG-ODE was accepted to ICCV 2023.
Interests
- Generative AI
- Computer Vision
- Continuous-Time Neural Modeling
- Efficient & Adaptive Learning
Education
- Ph.D. in Electrical Engineering, 2026
Stony Brook University - M.S. in Electrical Engineering, 2021
Stony Brook University - B.S. in Computer Science (IEEE Honor Class), 2017
Shanghai Jiao Tong University
Yucheng Xing's Homepage 