About
I'm a 3rd-year Ph.D. student in Computer Science at UMass Amherst, advised by Prof. Lee Spector. My research interests are optimization algorithms and related areas including evolutionary computing, deep learning, and computer vision.
During Ph.D., I interned at Meta Reality Labs. Before joining UMass, I was a research engineer at MIT for three years, working with Dr. Lex Fridman and Dr. Bryan Reimer. I received my master's degree in Data Science from the University of Rochester, where I got started on research working with Prof. Chenliang Xu.
News
Publications
Multi-Objective Evolutionary Architecture Search for Parameterized Quantum Circuits
Li Ding, Lee Spector
Entropy (Special Issue: Quantum Machine Learning)
[paper]
Going Faster and Hence Further with Lexicase Selection
Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector
GECCO 2022 (poster)
[paper]
Value of Temporal Dynamics Information in Driving Scene Segmentation
Li Ding, Jack Terwilliger, Rini Sherony, Bryan Reimer, Lex Fridman
IEEE Transactions on Intelligent Vehicles
[paper]
[arXiv]
[MIT DriveSeg
Dataset]
Press coverage:
[MIT News]
[Forbes]
[InfoQ]
[TechCrunch]
Joint Cognitive Load Estimation and Eye Landmarks Detection in the Wild
Li Ding, Jack Terwilliger, Aishni Parab, Meng Wang, Bruce Mehler, Bryan Reimer, Lex Fridman
[Under Review]
MIT Advanced Vehicle Technology Study:
Large-Scale Naturalistic Driving Study of
Driver Behavior and Interaction with Automation
Lex Fridman, Daniel E. Brown, Michael Glazer, William Angell, Spencer Dodd, Benedikt Jenik, Jack
Terwilliger, Julia Kindelsberger, Li Ding, Sean Seaman, Alea Mehler, Andrew Sipperley, Anthony
Pettinato, Bobbie Seppelt, Linda Angell, Bruce Mehler, Bryan Reimer
IEEE Access
[paper]
[arXiv]
[video]
Object as Distribution
Li Ding, Lex Fridman
Technical Report
[arXiv]
Human Interaction with Deep Reinforcement
Learning Agents in Virtual Reality
Lex Fridman, Henri Schmidt, Jack Terwilliger, Li Ding
NeurIPS 2018: Deep RL Workshop
TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation
Li Ding, Chenliang Xu
Technical Report
[arXiv]