Ke Li

I am a fifth-year PhD candidate at UC Berkeley advised by Jitendra Malik. My research interests are in machine learning, computer vision and algorithms. I received my bachelor's in computer science from the University of Toronto. I can be reached by e-mail at ke [dot] li [at] eecs [dot] berkeley [dot] edu.

Google Scholar  |  Twitter

For a quick introduction to my research, see the following videos:

IAS Workshop on Theory of Deep Learning (Slides): this is aimed at machine learning researchers
CIFAR Deep Learning and Reinforcement Learning Summer School (Slides): this is aimed at a broader audience in the style of a tutorial

Research Directions

I am interested in tackling fundamental problems in machine learning that cannot be solved using a straightforward application of conventional techniques. Below are the major areas that I contributed to:

Selected Papers

Generative Modelling

Learning to Optimize

Fast Nearest Neighbour Search

Instance Segmentation

Other Topics

Teaching

CS 189: Introduction to Machine Learning (Summer 2018) — Instructor