Teaching

Instructor

• Fall 2026: UT Austin ECE 381V: Advanced Topics in Computer Vision.

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

• Transformers beyond Languages and Visions.
  • July 2026. Invited talk at Caltech.
  • May 2026. Invited talk at UCSD.
• Toward Spatial Intelligence with Limited Data.
  • April 2026. Guest Lecture at CMU.
  • April 2025. Guest Lecture at NYU Tandon.
  • April 2025. Guest Lecture at CMU 18-789, Deep Generative Model Link.
  • Mar 2025. UT Austin ECE Seminar Link.
  • Mar 2025. Stanford Vision and Learning Seminar.
  • Mar 2025. Boston University CS Seminar.
  • Feb 2025. UC Irvine CS Seminar.
  • Feb 2025. Cornell Vision and Graphics Seminar.
  • Jan 2025. UPenn GRASP SFI Seminar. Link.
  • Jan 2025. Stanford SCIEN Seminar. Link.
  • Jan 2025. UCSC ECE Seminar.
• Shapes as Fields: Toward Geometry Processing without Discretization.
  • Oct 2024. Invited lecture in UPenn, CIS 7000: Introduction to Neural Scene Representation and Neural Rendering.
• A Gentle Introduction to Visual AI.
  • Oct 2024. Invited lecture in Stanford COMM 278A: Artificial Intelligence (AI) and Journalism.
• Survey of Large Language Models and Large Vision Models.
  • Sep 2024. Invited lecture in Stanford CS 468: Topics in Geometric Computing - 3D and 4D Foundation Models.
• Evaluating 3D Shapes for Digital and Physical Applications.
  • Mar 2024. Invited talk at UIUC Vision Seminar.
• Detecting and Exploiting Symmetry and Regularity in 3D Geometry.
  • Mar 2024. Guest lecture in Stanford CS 233: Geometric and Topological Data Analysis.
• Neural Monte Carlo PDE Solvers.
  • Oct 2023. Invited spotlight talk at Michigan AI Symposium Rising Star 2023.
• Deep Learning for Geometric Data Proecssing.
  • Dec 2022. Cornell CS Student Colloquium.
• Geometry Processing with Discretization-Free Representation and Prior.
  • May 2022. Invited talk at the Pioneer Center for AI and the University of Copenhagen.
• Geometry Processing with Neural Fields [Video].
  • Mar 2022. Invited talk at the Learning on Graphs and Geometry Reading Group
• Learning Single-view 3D Reconstruction with Limited Pose Supervision.
  • Jun 2019. Invited talk In the 2019 Scene Understanding and Modeling (SUMO) Workshop (CVPRW).