2022

Optimizing Neural Networks with Gradient Lexicase Selection
Li Ding and Lee Spector
[ICLR 2022] [OpenReview]

2021

Evolving Neural Selection with Adaptive Regularization
Li Ding and Lee Spector
[GECCO 2021: Workshop on NeuroEvolution at Work] [paper] [presentation]

Perceptual Evaluation of Driving Scene Segmentation
Li Ding, Rini Sherony, Bruce Mehler, and Bryan Reimer
[IEEE IV 2021]

Value of Temporal Dynamics Information in Driving Scene Segmentation
Li Ding, Jack Terwilliger, Rini Sherony, Bryan Reimer, and Lex Fridman
[IEEE Transactions on Intelligent Vehicles] [paper] [arXiv] [dataset]

2020

MIT-AVT Clustered Driving Scene Dataset: Evaluating Perception Systems in Real-World Naturalistic Driving Scenarios
Li Ding, Michael Glazer, Meng Wang, Bruce Mehler, Bryan Reimer, and Lex Fridman
[IEEE IV 2020: NDDA Workshop (oral presentation)] [paper]

Joint Cognitive Load Estimation and Eye Landmarks Detection in the Wild
Li Ding, Jack Terwilliger, Aishni Parab, Meng Wang, Bruce Mehler, Bryan Reimer, and Lex Fridman
[Under Review]

Real-time Cognitive Load Estimation with Multi-source Features and Individual Normalization
Meng Wang, Li Ding, Pnina Gershon, Bruce Mehler, and Bryan Reimer
[Under Review]

2019

Arguing Machines: Human Supervision of Black Box AI Systems that Make Life-Critical Decisions
Lex Fridman, Li Ding, Benedikt Jenik, Bryan Reimer
[CVPR 2019: Workshop on Autonomous Driving] [paper] [arXiv]

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, et al.
[IEEE Access] [paper] [arXiv]

Object as Distribution
Li Ding, Lex Fridman
[Technical Report] [arXiv]

2018

Human Interaction with Deep Reinforcement Learning Agents in Virtual Reality
Lex Fridman, Henri Schmidt, Jack Terwilliger, Li Ding
[NeurIPS 2018: Deep RL Workshop]

Weakly-Supervised Action Segmentation with Iterative Soft Boundary Assignment
Li Ding, Chenliang Xu
[CVPR 2018] [paper] [arXiv] [poster] [code]

2017

TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation
Li Ding, Chenliang Xu
[Technical Report] [arXiv]