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Li Ding
Li Ding
PhD Candidate, University of Massachusetts Amherst
Verified email at mit.edu - Homepage
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Cited by
Cited by
Year
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 7, 102021-102038, 2019
323*2019
Weakly-supervised action segmentation with iterative soft boundary assignment
L Ding, C Xu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1992018
Tricornet: A hybrid temporal convolutional and recurrent network for video action segmentation
L Ding, C Xu
arXiv preprint arXiv:1705.07818, 2017
662017
Arguing machines: Human supervision of black box AI systems that make life-critical decisions
L Fridman, L Ding, B Jenik, B Reimer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
63*2019
Optimizing neural networks with gradient lexicase selection
L Ding, L Spector
International Conference on Learning Representations, 2022
182022
Value of temporal dynamics information in driving scene segmentation
L Ding, J Terwilliger, R Sherony, B Reimer, L Fridman
IEEE Transactions on Intelligent Vehicles 7 (1), 113-122, 2021
172021
Evolutionary quantum architecture search for parametrized quantum circuits
L Ding, L Spector
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
162022
Lexicase selection at scale
L Ding, R Boldi, T Helmuth, L Spector
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
102022
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
2020 IEEE Intelligent Vehicles Symposium (IV), 232-237, 2020
92020
MIT DriveSeg (Manual) Dataset for Dynamic Driving Scene Segmentation
L Ding, J Terwilliger, R Sherony, B Reimer, L Fridman
82020
Object as distribution
L Ding, L Fridman
arXiv preprint arXiv:1907.12929, 2019
72019
Multi-Objective Evolutionary Architecture Search for Parameterized Quantum Circuits
L Ding, L Spector
Entropy 25 (1), 93, 2023
52023
Evolving Neural Selection with Adaptive Regularization
L Ding, L Spector
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
42021
Probabilistic Lexicase Selection
L Ding, E Pantridge, L Spector
Proceedings of the Genetic and Evolutionary Computation Conference, 1073–1081, 2023
32023
Going faster and hence further with lexicase selection
L Ding, R Boldi, T Helmuth, L Spector
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
32022
Quality Diversity through Human Feedback
L Ding, J Zhang, J Clune, L Spector, J Lehman
arXiv preprint arXiv:2310.12103, 2023
22023
Perceptual Evaluation of Driving Scene Segmentation
L Ding, R Sherony, B Mehler, B Reimer
2021 IEEE Intelligent Vehicles Symposium (IV), 1444-1450, 2021
12021
MIT DriveSeg (Semi-auto) Dataset: Large-scale Semi-automated Annotation of Semantic Driving Scenes
L Ding, M Glazer, J Terwilliger, B Reimer, L Fridman
12020
Particularity
L Spector, L Ding, R Boldi
Genetic Programming Theory and Practice XX, 159-176, 2024
2024
DALex: Lexicase-like Selection via Diverse Aggregation
A Ni, L Ding, L Spector
arXiv preprint arXiv:2401.12424, 2024
2024
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