Teaching & Mentoring

Teaching Assistant

I served as a teaching assistant for the following courses:

• Winter 2024: Stanford CS 233: Geometric and Topological Data Analysis
• Fall 2022: Cornell CS 5785 Applied Machine Learning
• Spring 2022: ECE 5545 Machine Learning Hardware and Systems
• Fall 2019: CS 5785 Applied Machine Learning
• Fall 2018: CS 6670 Computer Vision
• Spring 2018: CS 4780 Machine Learning for Intelligent Systems
• Spring 2017: CS 4780 Machine Learning for Intelligent Systems
• Spring 2016: CS 3110 Data Structures and Functional Programming
• Spring 2016: CS2049: Intermediate iPhone Development
• Fall 2015: CS 3110 Data Structures and Functional Programming
• Fall 2015: CS 2048 Introduction to iPhone App Development

Invited Lectures and Talks

• Jan 2025. Toward Spatial Intelligence with Limited Data. UPenn GRASP SFI Seminar.
• Jan 2025. Toward Spatial Intelligence with Limited Data. Stanford SCIEN Seminar.
• Jan 2025. Toward Artificial Intelligence with Limited Data. UCSC, ECE Seminar.
• Oct 2024. Shapes as Fields: Toward Geometry Processing without Discretization. Invited lecture in University of Pennsylvania, CIS 7000: Introduction to Neural Scene Representation and Neural Rendering.
• Oct 2024. A Gentle Introduction to Visual AI. Invited lecture in Stanford COMM 278A: Artificial Intelligence (AI) and Journalism.
• Sep 2024. Survey of Large Language Models and Large Vision Models. Invited lecture in Stanford CS 468: Topics in Geometric Computing - 3D and 4D Foundation Models.
• Mar 2024. Evaluating 3D Shapes for Digital and Physical Applications . Invited talk at UIUC Vision Seminar.
• Mar 2024. Detecting and Exploiting Symmetry and Regularity in 3D Geometry. Invited lecture in Stanford CS 233: Geometric and Topological Data Analysis.
• Oct 2023. Neural Monte Carlo PDE Solvers. Invited spotlight talk at Michigan AI Symposium Rising Star 2023.
• Dec 2022. Deep Learning for Geometric Data Proecssing. Cornell CS Student Colloquium.
• May 2022. Geometry Processing with Discretization-Free Representation and Prio. Invited talk at the Pioneer Center for AI and the University of Copenhagen.
• Mar 2022. Geometry Processing with Neural Fields [Video]. Invited talk at the Learning on Graphs and Geometry Reading Group
• Jun 2019. Learning Single-view 3D Reconstruction with Limited Pose Supervision. Invited talk In the 2019 Scene Understanding and Modeling (SUMO) Workshop (CVPRW).

Collaborations

I am forunated to collaborate with many brilliant students:

• Jihyeon Je at Stanford.
• Ian Huang at Stanford.
• Kiyohiro Nakayama at Stanford.
• Jan Ackermann visiting Stanford from ETH.
• Timur Levent Kesdogan visiting Stanford from ETH.
• Jiahe Huang at UMichigan.
• Tong Wu during her visit at Stanford from CUHK.
• Zilu Li from Cornell, now at UCSD.
• Gene Chou at Cornell.
• Katie Luo at Cornell.
• Ruojin Cai at Cornell.