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ORCIDLi Ding 0010
Person information
- affiliation: UMass Amherst, MA, USA
- affiliation (former): University of Rochester, NY, USA
- unicode name: 丁立
Other persons with the same name
- Li Ding — disambiguation page
- Li Ding 0001 — Rensselaer Polytechnic Institute, Troy, NY, USA (and 2 more)
- Li Ding 0002 — Synopsys Inc., Mountain View, CA, USA (and 1 more)
- Li Ding 0003 — PLA University of Science and Technology, Institute of Command Automation, Nanjing, China
- Li Ding 0004 — Beihang University, School of Biological Science and Medical Engineering, Beijing, China
- Li Ding 0005 — University of Science and Technology of China, Hefei, China
- Li Ding 0006 — University of Ottawa, Multimedia Communications Research Laboratory, Canada
- Li Ding 0007
![[0000-0002-3469-224X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3469-224X")
— University of Science and Technology of China, Department of Automation, Hefei, China - Li Ding 0008 — Jiangsu University of Technology, College of Mechanical Engineering, Changzhou, China
- Li Ding 0009 — University of Rochester, Rochester, NY, USA
- Li Ding 0011 — Zhengzhou University of Light Industry, Zhengzhou, China
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2020 – today
- 2024
[c13]Andrew Ni, Li Ding, Lee Spector:
DALex: Lexicase-Like Selection via Diverse Aggregation. EuroGP 2024: 90-107- [i15]Andrew Ni, Li Ding, Lee Spector:
DALex: Lexicase-like Selection via Diverse Aggregation. CoRR abs/2401.12424 (2024) - 2023
- [j4]Li Ding, Lee Spector:
Multi-Objective Evolutionary Architecture Search for Parameterized Quantum Circuits. Entropy 25(1): 93 (2023) - [j3]Li Ding, Jack Terwilliger, Aishni Parab, Meng Wang, Lex Fridman, Bruce Mehler, Bryan Reimer:
CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild. ACM Trans. Comput. Hum. Interact. 30(6): 84:1-84:23 (2023) - [c12]Li Ding, Edward R. Pantridge, Lee Spector:
Probabilistic Lexicase Selection. GECCO 2023: 1073-1081 - [c11]Lee Spector, Li Ding, Ryan Boldi:
Particularity. GPTP 2023: 159-176 - [i14]Li Ding, Edward R. Pantridge, Lee Spector:
Probabilistic Lexicase Selection. CoRR abs/2305.11681 (2023) - [i13]Lee Spector, Li Ding, Ryan Boldi:
Particularity. CoRR abs/2306.06812 (2023) - [i12]Li Ding, Jack Terwilliger, Aishni Parab, Meng Wang, Lex Fridman, Bruce Mehler, Bryan Reimer:
CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild. CoRR abs/2306.15073 (2023) - [i11]Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman:
Quality Diversity through Human Feedback. CoRR abs/2310.12103 (2023) - [i10]Ryan Boldi, Li Ding, Lee Spector:
Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance. CoRR abs/2311.02283 (2023) - [i9]Li Ding, Lee Spector:
Optimizing Neural Networks with Gradient Lexicase Selection. CoRR abs/2312.12606 (2023) - 2022
- [j2]Li Ding, Jack Terwilliger, Rini Sherony, Bryan Reimer, Lex Fridman:
Value of Temporal Dynamics Information in Driving Scene Segmentation. IEEE Trans. Intell. Veh. 7(1): 113-122 (2022) - [c10]Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector:
Going faster and hence further with lexicase selection. GECCO Companion 2022: 538-541 - [c9]Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector:
Lexicase selection at scale. GECCO Companion 2022: 2054-2062 - [c8]Li Ding, Lee Spector:
Evolutionary quantum architecture search for parametrized quantum circuits. GECCO Companion 2022: 2190-2195 - [c7]Li Ding, Lee Spector:
Optimizing Neural Networks with Gradient Lexicase Selection. ICLR 2022 - [i8]Li Ding, Lee Spector:
Evolving Neural Selection with Adaptive Regularization. CoRR abs/2204.01662 (2022) - [i7]Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector:
Lexicase Selection at Scale. CoRR abs/2208.10719 (2022) - [i6]Li Ding, Lee Spector:
Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits. CoRR abs/2208.11167 (2022) - 2021
- [c6]Li Ding, Lee Spector:
Evolving neural selection with adaptive regularization. GECCO Companion 2021: 1717-1725 - [c5]Li Ding, Rini Sherony, Bruce Mehler, Bryan Reimer:
Perceptual Evaluation of Driving Scene Segmentation. IV 2021: 1444-1450 - 2020
- [c4]Li Ding, Michael Glazer, Meng Wang, Bruce Mehler, Bryan Reimer, Lex Fridman:
MIT-AVT Clustered Driving Scene Dataset: Evaluating Perception Systems in Real-World Naturalistic Driving Scenarios. IV 2020: 232-237 - [d2]Li Ding, Michael Glazer, Jack Terwilliger, Bryan Reimer, Lex Fridman:
MIT DriveSeg (Semi-auto) Dataset. IEEE DataPort, 2020
- [d1]Li Ding, Jack Terwilliger, Rini Sherony, Bryan Reimer, Lex Fridman:
MIT DriveSeg (Manual) Dataset. IEEE DataPort, 2020
2010 – 2019
- 2019
- [j1]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:
MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction With Automation. IEEE Access 7: 102021-102038 (2019) - [c3]Lex Fridman, Li Ding, Benedikt Jenik, Bryan Reimer:
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions. CVPR Workshops 2019: 146-154 - [c2]Lex Fridman, Li Ding, Benedikt Jenik, Bryan Reimer:
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical Decisions. CVPR Workshops 2019: 1335-1343 - [i5]Li Ding, Jack Terwilliger, Rini Sherony, Bryan Reimer, Lex Fridman:
Value of Temporal Dynamics Information in Driving Scene Segmentation. CoRR abs/1904.00758 (2019) - [i4]Li Ding, Lex Fridman:
Object as Distribution. CoRR abs/1907.12929 (2019) - 2018
- [c1]Li Ding, Chenliang Xu:
Weakly-Supervised Action Segmentation With Iterative Soft Boundary Assignment. CVPR 2018: 6508-6516 - [i3]Li Ding, Chenliang Xu:
Weakly-Supervised Action Segmentation with Iterative Soft Boundary Assignment. CoRR abs/1803.10699 (2018) - 2017
- [i2]Li Ding, Chenliang Xu:
TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation. CoRR abs/1705.07818 (2017) - [i1]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:
MIT Autonomous Vehicle Technology Study: Large-Scale Deep Learning Based Analysis of Driver Behavior and Interaction with Automation. CoRR abs/1711.06976 (2017)
Coauthor Index
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last updated on 2024-06-20 00:07 CEST by the dblp team
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