I am a computer science PhD student at the University of California, San Diego, where I am fortunate to be advised by Rose Yu. I received my Master’s degree in computer science from Georgia Institute of Technology, and Bachelor degrees in computer science and physics from the University of Illinois at Urbana-Champaign.
I am broadly interested in deep learning theory and optimization. Currently, I am studying symmetries in the neural network parameter space and their impact on optimization, generalization, and the loss landscape.
Publications
- Improving Convergence and Generalization Using Parameter Symmetries
Bo Zhao, Robert M. Gower, Robin Walters, Rose Yu
International Conference on Learning Representations (ICLR), 2024 (Oral presentation)
[arXiv] [code]
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Salva Rühling Cachay, Bo Zhao, Hailey Joren, Rose Yu
Advances in Neural Information Processing Systems (NeurIPS), 2023
[arXiv] [code] [blog]Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
Bo Zhao*, Iordan Ganev*, Robin Walters, Rose Yu, Nima Dehmamy (*equal contribution)
International Conference on Learning Representations (ICLR), 2023
[arXiv] [code] [talk]Symmetry Teleportation for Accelerated Optimization
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
Advances in Neural Information Processing Systems (NeurIPS), 2022
[arXiv] [code] [video]LIMO: Latent Inceptionism for Targeted Molecule Generation
Peter Eckmann, Kunyang Sun, Bo Zhao, Mudong Feng, Michael Gilson, Rose Yu
International Conference on Machine Learning (ICML), 2022
[paper] [code] [video] [website]Concentric Spherical Neural Network for 3D Representation Learning
James Fox, Bo Zhao, Beatriz Gonzalez Del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song
International Joint Conference on Neural Networks (IJCNN), 2022
[paper] [pdf] [code]Multiple Aging Mechanisms in Ferroelectric Deuterated Potassium Dihydrogen Phosphate
Gregory A. Fields, Samuel F. Cieszynski, Bo Zhao, Kidan A. Tadesse, Mohammed A. Sheikh, Eugene V Colla, and M. B. Weissman.
Journal of Applied Physics 125, 194102, 2019
[paper] [pdf]
Experience
- IBM, AI Intern, June - September 2022
Teaching
- Teaching Assistant, CS 4641 Machine Learning, Georgia Tech, Fall 2020
- Lead Course Assistant, CS 225 Data Structures, UIUC, Spring 2019
- Course Assistant, CS 225 Data Structures, UIUC, Fall 2017 / Spring 2018 / Fall 2018
Education
- Ph.D. in Computer Science, University of California, San Diego, 2021-present
- M.S. in Computer Science, Georgia Institute of Technology, 2019-2021
- B.S. in Computer Science, University of Illinois at Urbana-Champaign, 2016-2019
- B.S. in Physics, University of Illinois at Urbana-Champaign, 2016-2019