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Li Ding
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MIT advanced vehicle technology study: Large-scale naturalistic driving study of driver behavior and interaction with automation
L Fridman, DE Brown, M Glazer, W Angell, S Dodd, B Jenik, J Terwilliger, ...
IEEE Access, 2019
361*2019
Weakly-supervised action segmentation with iterative soft boundary assignment
L Ding, C Xu
CVPR 2018, 2018
2252018
Tricornet: A hybrid temporal convolutional and recurrent network for video action segmentation
L Ding, C Xu
Technical Report, 2017
762017
Arguing machines: Human supervision of black box AI systems that make life-critical decisions
L Fridman, L Ding, B Jenik, B Reimer
CVPR 2019 Workshops, 2019
71*2019
Evolutionary quantum architecture search for parametrized quantum circuits
L Ding, L Spector
GECCO 2022 Companion, 2022
282022
Optimizing neural networks with gradient lexicase selection
L Ding, L Spector
ICLR 2022, 2022
282022
Value of temporal dynamics information in driving scene segmentation
L Ding, J Terwilliger, R Sherony, B Reimer, L Fridman
IEEE Transactions on Intelligent Vehicles, 2021
282021
MIT DriveSeg (Manual) Dataset for Dynamic Driving Scene Segmentation
L Ding, J Terwilliger, R Sherony, B Reimer, L Fridman
Technical Report, 2020
22*2020
Lexicase selection at scale
L Ding, R Boldi, T Helmuth, L Spector
GECCO 2022 Companion, 2022
202022
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
L Ding, J Zhang, J Clune, L Spector, J Lehman
ICML 2024, 2024
17*2024
Multi-objective evolutionary architecture search for parameterized quantum circuits
L Ding, L Spector
Entropy, 2023
172023
Probabilistic Lexicase Selection
L Ding, E Pantridge, L Spector
GECCO 2023, 2023
142023
MIT-AVT clustered driving scene dataset: Evaluating perception systems in real-world naturalistic driving scenarios
L Ding, M Glazer, M Wang, B Mehler, B Reimer, L Fridman
IEEE Intelligent Vehicles Symposium (IV) 2020, 2020
122020
Going faster and hence further with lexicase selection
L Ding, R Boldi, T Helmuth, L Spector
GECCO 2022 Companion, 2022
82022
Object as distribution
L Ding, L Fridman
Technical Report, 2019
82019
Evolving Neural Selection with Adaptive Regularization
L Ding, L Spector
GECCO 2021 Companion, 2021
62021
DALex: Lexicase-Like Selection via Diverse Aggregation
A Ni, L Ding, L Spector
EuroGP 2024, 2024
52024
MIT DriveSeg (Semi-auto) Dataset: Large-scale Semi-automated Annotation of Semantic Driving Scenes
L Ding, M Glazer, J Terwilliger, B Reimer, L Fridman
Technical Report, 2020
4*2020
Pareto-optimal learning from preferences with hidden context
R Boldi, L Ding, L Spector, S Niekum
arXiv preprint arXiv:2406.15599, 2024
32024
Particularity
L Spector, L Ding, R Boldi
Genetic Programming Theory and Practice XX, 2024
32024
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