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Posts by Collection
portfolio
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publications
talks
ICQSR 2024
Published:
Title: Multi-physics Simulation Guided Generative Diffusion Models with Applications in Fluid and Heat Dynamics
INFORMS 2024
Published:
Title: Triple Component Matrix Factorization
INFORMS 2024
Published:
Title: Multi-physics Simulation Guided Generative Diffusion Models with Applications in Fluid and Heat Dynamics
teaching
Game theory
Undergraduate course, Peking University, 2020
I was the teaching assistant of the course Game theory during my undergraduate. The main instructor is Weiying Zhang.
Optimization in deep learning
Graduate course, Chinese University of Hong Kong Shenzhen, 2021
I was the teaching assistant of the course Optimization in deep learning when I was visiting the Chinese University of Hong Kong Shenzhen. I teach the discussion sessions. The main instructor is Ruoyu Sun.
IOE 691: Modern Bayesian statistics
Graduate course, University of Michigan, Department of Industrial and Operations Engineering, 2021
Guest lecturer of the course IOE 691: Modern Bayesian statistics. I teach two lectures: Variational inference and Bayesian deep learning. The main instructor is Raed Al Kontar.
IOE 202: Introductions to Operations Engineering
Undergraduate course, University of Michigan, Department of Industrial and Operations Engineering, 2023
I am the main instructor of the course IOE 202: Introductions to Operations Engineering. This is a core course for undergraduates in IOE.
IOE 570: Experimental Design
Graduate course, University of Michigan, Department of Industrial and Operations Engineering, 2024
Graduate student instructor of the course IOE 570: Experimental Design. The main instructor is Raed Al Kontar.
AI for Manufacturing
Graduate/Undergraduate course, Northwestern University, Department of Industrial Engineering and Management Sciences and Department of Mechanical Engineering, 2026
Graduate and undergraduate course on AI for Manufacturing. The course covers machine learning and AI methods with applications in manufacturing systems, including process monitoring, quality control, digital twins, generative design, and data-driven modeling of manufacturing processes.
Design of Experiments
Undergraduate course, Northwestern University, Department of Industrial Engineering and Management Sciences, 2026
Main instructor of this undergraduate course on Design of Experiments. The course covers classical and modern experimental design methodology, including factorial designs and Bayesian optimization, with applications in engineering and data science. We fly optimally-designed paper helicopters at the end!