I am currently a Principal Researcher in Applied Sciences Group at Microsoft, Redmond. I earned my PhD in Applied Mathematics and Statistics from Johns Hopkins University (JHU) in 2021, where I was advised by Dr. Daniel P. Robinson and Dr. René Vidal. Prior to my PhD, I received my Master's degrees in Computer Science and Financial Mathematics from JHU in 2020 and 2016, respectively. I began my academic journey with a Bachelor's degree in Mathematics from Sun Yat-sen University in 2014.
Throughout my career, I have focused on improving efficiency in machine learning and artificial intelligence, especially in areas like computer vision and generative models. I am constantly seeking new ways to push the boundaries of these fields and make contributions to the world of applied science.
Noisy Dual Principal Component Pursuit Tianyu Ding*, Zhihui Zhu*, Tianjiao Ding, Yunchen Yang, René Vidal, Manolis C. Tsakiris, and Daniel P. Robinson International Conference on Machine Learning (ICML), 2019
Haidong Zhu (Microsoft Research Intern, Summer 2023)
Area of Focus: Generalizable & Few-Shot NeRF
Intern Project: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering »»» The work has been accepted by ECCV 2024!
Jinxin Zhou (Microsoft Research Intern, Summer 2023)
Area of Focus: Efficient Training of Diffusion Models
Intern Project: Diffusion Rectification and Estimation-Adaptive Models »»» The work has been accepted by CVPR 2024!
Teaching
Teaching Fellow at Department of Applied Mathematics and Statistics, JHU (Spring 2021)
Instructor for EN 553.282.13(14) A Hands-On Introduction to MATLAB (Intersession 2016, 2017, 2018 & 2019)
Teaching Assistant for EN 553.665 Introduction to Convexity (Fall 2019)
Teaching Assistant for EN 553.761 Nonlinear Optimization (Fall 2016 & Fall 2017)
Teaching Assistant for EN 553.644 Introduction to Financial Derivatives (Fall 2017)
Teaching Assistant for EN 553.645 Interest Rate and Credit Derivatives (Spring 2016 & Spring 2017)
Teaching Assistant for EN 553.627 Stochastic Processes (Fall 2015 & Fall 2016)
Teaching Assistant for EN 553.628 Stochastic Processes and Applications to Finance II (Spring 2016)
Services
Reviewer for AISTATS 2021
Reviewer for BMVC 2024
Reviewer for CVPR 2021, 2022, 2023, 2024
Reviewer for ECCV 2022, 2024
Reviewer for ECML-PKDD 2020
Reviewer for ICCV 2021, 2023
Reviewer for ICLR 2021, 2022, 2023, 2024, 2025
Reviewer for ICML 2021, 2023, 2024
Reviewer for NeurIPS 2020, 2021, 2022, 2023, 2024