Scholar
Mingyang Yi
Google Scholar ID: RlOZiPUAAAAJ
Assistant Professor of Renmin University of China
Citations & Impact
Citations
600
H-index
11
i10-index
11
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Continuous-time Riemannian SGD and SVRG Flows on Wasserstein Probabilistic Space, NeurIPS 2025
- TANDEM: Bi-Level Data Mixture Optimization with Twin Networks, NeurIPS 2025
- Stability and Sharper Risk Bounds with Convergence Rate O(1/n^2), NeurIPS 2025
- TR-PTS: Task-Relevant Parameter and Token Selection for Efficient Tuning, ICCV 2025
- Improved Diffusion-based Generative Model with Better Adversarial Robustness, ICLR 2025
- Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model, NeurIPS 2024
- V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark, NeurIPS 2024
- SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models, NeurIPS 2023
- Breaking Correlation Shift via Conditional Invariant Regularizer, ICLR 2023
Research Experience
- 2024.10-Present Assistant Professor, School of Information, Renmin University of China
- 2022.7-2024.10 Researcher, AI Theory Group of Huawei Noah’s Ark Lab, supervisor: Zhenguo Li
- 2021.2-2022.5 Research Intern, AI Theory Group of Huawei Noah’s Ark Lab, supervisor: Zhenguo Li
- 2020.4-2021.2 Research Intern, Speech & Language Processing Group of Huawei Noah’s Ark Lab, supervisor: Lu Hou
- 2018.9-2020.3 Research Intern, Machine Learning Group of Microsoft Research Asia, supervisor: Wei Chen
Background
- Research Interests: Optimization Theory, Statistical Learning, Understanding of Large Models; Brief Introduction: Assistant Professor at the School of Information, Renmin University of China, currently working closely with Prof. Ju Fan. Before joining Renmin University of China, he was a researcher at the AI Theory Group of Huawei Noah’s Ark Lab.
Miscellany
- Hiring: Looking for MS/Phd/Interns with strong machine learning and mathematical background in the School of Information, Renmin University of China. Please drop an email if you are interested in machine learning theory, optimization, or generative model.
