Li Ding

35 papers A* 3A 1B 1C 2Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
2024 B conf
DALex: Lexicase-Like Selection via Diverse Aggregation.
EuroGP
Andrew Ni, Li Ding, Lee Spector
2024 J jnl
DALex: Lexicase-like Selection via Diverse Aggregation.
CoRR
Andrew Ni, Li Ding, Lee Spector
2024 J jnl
Pareto-Optimal Learning from Preferences with Hidden Context.
CoRR
Ryan Boldi, Li Ding, Lee Spector, Scott Niekum
2024 A* conf
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization.
ICML
Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman
2024 — conf
Solving Deceptive Problems Without Explicit Diversity Maintenance.
GECCO Companion
Ryan Boldi, Li Ding, Lee Spector
2023 J jnl
CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild.
CoRR
Li Ding, Jack Terwilliger, Aishni Parab, Meng Wang, Lex Fridman, Bruce Mehler, Bryan Reimer
2023 J jnl
CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild.
ACM Trans. Comput. Hum. Interact.
Li Ding, Jack Terwilliger, Aishni Parab, Meng Wang, Lex Fridman, Bruce Mehler, Bryan Reimer
2023 J jnl
Multi-Objective Evolutionary Architecture Search for Parameterized Quantum Circuits.
Entropy
Li Ding, Lee Spector
2023 J jnl
Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance.
CoRR
Ryan Boldi, Li Ding, Lee Spector
2023 J jnl
Optimizing Neural Networks with Gradient Lexicase Selection.
CoRR
Li Ding, Lee Spector
2023 — conf
Particularity.
GPTP
Lee Spector, Li Ding, Ryan Boldi
2023 J jnl
Particularity.
CoRR
Lee Spector, Li Ding, Ryan Boldi
2023 A conf
Probabilistic Lexicase Selection.
GECCO
Li Ding, Edward R. Pantridge, Lee Spector
2023 J jnl
Probabilistic Lexicase Selection.
CoRR
Li Ding, Edward R. Pantridge, Lee Spector
2023 J jnl
Quality Diversity through Human Feedback.
CoRR
Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman
2022 J jnl
Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits.
CoRR
Li Ding, Lee Spector
2022 — conf
Evolutionary quantum architecture search for parametrized quantum circuits.
GECCO Companion
Li Ding, Lee Spector
2022 J jnl
Evolving Neural Selection with Adaptive Regularization.
CoRR
Li Ding, Lee Spector
2022 — conf
Going faster and hence further with lexicase selection.
GECCO Companion
Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector
2022 J jnl
Lexicase Selection at Scale.
CoRR
Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector
2022 — conf
Lexicase selection at scale.
GECCO Companion
Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector
2022 A* conf
Optimizing Neural Networks with Gradient Lexicase Selection.
ICLR
Li Ding, Lee Spector
2022 J jnl
Value of Temporal Dynamics Information in Driving Scene Segmentation.
IEEE Trans. Intell. Veh.
Li Ding, Jack Terwilliger, Rini Sherony, Bryan Reimer, Lex Fridman
2021 — conf
Evolving neural selection with adaptive regularization.
GECCO Companion
Li Ding, Lee Spector
2021 C conf
Perceptual Evaluation of Driving Scene Segmentation.
IV
Li Ding, Rini Sherony, Bruce Mehler, Bryan Reimer
2020 C conf
MIT-AVT Clustered Driving Scene Dataset: Evaluating Perception Systems in Real-World Naturalistic Driving Scenarios.
IV
Li Ding, Michael Glazer, Meng Wang, Bruce Mehler, Bryan Reimer, Lex Fridman
2019 — conf
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions.
CVPR Workshops
Lex Fridman, Li Ding, Benedikt Jenik, Bryan Reimer
2019 — conf
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions.
CVPR Workshops
Lex Fridman, Li Ding, Benedikt Jenik, Bryan Reimer
2019 J jnl
MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation.
IEEE Access
Lex Fridman, Daniel E. Brown, Michael Glazer, William Angell, Spencer Dodd, Benedikt Jenik, Jack Terwilliger, Aleksandr Patsekin, Julia Kindelsberger, Li Ding, Sean Seaman, Alea Mehler, Andrew Sipperley, Anthony Pettinato, Bobbie D. Seppelt, Linda Angell, Bruce Mehler, Bryan Reimer
2019 J jnl
Object as Distribution.
CoRR
Li Ding, Lex Fridman
2019 J jnl
Value of Temporal Dynamics Information in Driving Scene Segmentation.
CoRR
Li Ding, Jack Terwilliger, Rini Sherony, Bryan Reimer, Lex Fridman
2018 A* conf
Weakly-Supervised Action Segmentation With Iterative Soft Boundary Assignment.
CVPR
Li Ding, Chenliang Xu
2018 J jnl
Weakly-Supervised Action Segmentation with Iterative Soft Boundary Assignment.
CoRR
Li Ding, Chenliang Xu
2017 J jnl
MIT Autonomous Vehicle Technology Study: Large-Scale Deep Learning Based Analysis of Driver Behavior and Interaction with Automation.
CoRR
Lex Fridman, Daniel E. Brown, Michael Glazer, William Angell, Spencer Dodd, Benedikt Jenik, Jack Terwilliger, Julia Kindelsberger, Li Ding, Sean Seaman, Hillary Abraham, Alea Mehler, Andrew Sipperley, Anthony Pettinato, Bobbie Seppelt, Linda Angell, Bruce Mehler, Bryan Reimer
2017 J jnl
TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation.
CoRR
Li Ding, Chenliang Xu