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ORCIDYingying Li 0005
Person information
- affiliation: University of Illinois Urbana-Champaign, Champaign, IL, USA
Other persons with the same name
- Yingying Li — disambiguation page
- Yingying Li 0001
![[0000-0002-3999-2647]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3999-2647")
— Hangzhou Normal University, Hangzhou, China - Yingying Li 0002 — Tianjin Research Institute of Construction Machinery, Tianjin, China
- Yingying Li 0003 — PLA Strategic Support Force Information Engineering University, Zhengzhou, Henan, China
- Yingying Li 0004 — Foshan Electrical and Lighting Co.,Ltd., Foshan, Guangdong, China
- Yingying Li 0006 — Henan Polytechnic University, Jiaozuo, China
- Yingying Li 0007 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Yingying Li 0008 — Wuhan University, Wuhan, Hubei, China
- Yingying Li 0009 — Jiangnan University, Wuxi, China
- Yingying Li 0010 — Wuhan University, Wuhan, China
- Yingying Li 0011 — Xidian University, Xi'an, Shaanxi, China
- Yingying Li 0012 — Chongqing University of Posts and Telecommunications, Chongqing, China
- Yingying Li 0013 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
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2020 – today
- 2024
[j5]Usman Syed, Yingying Li, Bin Hu:
Online Nonstochastic Control Versus Retrospective Cost Adaptive Control. IEEE Control. Syst. Lett. 8: 1859-1864 (2024)- [c15]Yingying Li, Jing Yu, Lauren E. Conger, Taylan Kargin, Adam Wierman:
Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis. ICML 2024 - [c14]Negin Musavi, Ziyao Guo, Geir E. Dullerud, Yingying Li:
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees. NeurIPS 2024 - [c13]Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun:
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos. WACV 2024: 2215-2224 - [i12]Negin Musavi, Ziyao Guo, Geir E. Dullerud, Yingying Li:
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees. CoRR abs/2411.00656 (2024) - 2023
- [c12]Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun:
Online Hyperparameter Optimization for Class-Incremental Learning. AAAI 2023: 8906-8913 - [c11]Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma:
Online switching control with stability and regret guarantees. L4DC 2023: 1138-1151 - [c10]Yiheng Lin, James A. Preiss, Emile Anand, Yingying Li, Yisong Yue, Adam Wierman:
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations. NeurIPS 2023 - [i11]Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun:
Online Hyperparameter Optimization for Class-Incremental Learning. CoRR abs/2301.05032 (2023) - [i10]Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma:
Online switching control with stability and regret guarantees. CoRR abs/2301.08445 (2023) - [i9]Yingying Li, Tianpeng Zhang, Subhro Das, Jeff S. Shamma, Na Li:
Non-asymptotic System Identification for Linear Systems with Nonlinear Policies. CoRR abs/2306.10369 (2023) - [i8]Yingying Li, Jing Yu, Lauren E. Conger, Adam Wierman:
Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis. CoRR abs/2309.14648 (2023) - [i7]Yaoyao Liu, Yingying Li, Bernt Schiele, Qianru Sun:
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos. CoRR abs/2310.16115 (2023) - 2022
- [j4]Yingying Li, Yujie Tang, Runyu Zhang, Na Li:
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. IEEE Trans. Autom. Control. 67(12): 6429-6444 (2022) - 2021
- [j3]Yingying Li, Guannan Qu, Na Li:
Online Optimization With Predictions and Switching Costs: Fast Algorithms and the Fundamental Limit. IEEE Trans. Autom. Control. 66(10): 4761-4768 (2021) - [j2]Xin Chen, Yingying Li, Jun Shimada, Na Li:
Online Learning and Distributed Control for Residential Demand Response. IEEE Trans. Smart Grid 12(6): 4843-4853 (2021) - [c9]Yingying Li, Subhro Das, Na Li:
Online Optimal Control with Affine Constraints. AAAI 2021: 8527-8537 - [c8]Runyu Zhang, Yingying Li, Na Li:
On the Regret Analysis of Online LQR Control with Predictions. ACC 2021: 697-703 - [i6]Yingying Li, Subhro Das, Jeff S. Shamma, Na Li:
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees. CoRR abs/2111.00411 (2021) - 2020
- [j1]Yingying Li, Qinran Hu, Na Li:
A reliability-aware multi-armed bandit approach to learn and select users in demand response. Autom. 119: 109015 (2020) - [c7]Yingying Li, Yujie Tang, Runyu Zhang, Na Li:
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. L4DC 2020: 814 - [c6]Yingying Li, Na Li:
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms. NeurIPS 2020 - [i5]Yingying Li, Qinran Hu, Na Li:
A Reliability-aware Multi-armed Bandit Approach to Learn and Select Users in Demand Response. CoRR abs/2003.09505 (2020) - [i4]Yingying Li, Subhro Das, Na Li:
Online Optimal Control with Affine Constraints. CoRR abs/2010.04891 (2020) - [i3]Xin Chen, Yingying Li, Jun Shimada, Na Li:
Online Learning and Distributed Control for Residential Demand Response. CoRR abs/2010.05153 (2020) - [i2]Yingying Li, Na Li:
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms. CoRR abs/2011.12539 (2020)
2010 – 2019
- 2019
- [c5]Yingying Li, Na Li:
Online Learning for Markov Decision Processes in Nonstationary Environments: A Dynamic Regret Analysis. ACC 2019: 1232-1237 - [c4]Yingying Li, Xin Chen, Na Li:
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis. NeurIPS 2019: 14858-14870 - [i1]Yingying Li, Yujie Tang, Runyu Zhang, Na Li:
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. CoRR abs/1912.09135 (2019) - 2018
- [c3]Yingying Li, Guannan Qu, Na Li:
Using Predictions in Online Optimization with Switching Costs: A Fast Algorithm and A Fundamental Limit. ACC 2018: 3008-3013 - [c2]Yingying Li, Qinran Hu, Na Li:
Learning and Selecting the Right Customers for Reliability: A Multi-Armed Bandit Approach. CDC 2018: 4869-4874 - 2017
- [c1]Yingying Li, Na Li:
Mechanism design for reliability in demand response with uncertainty. ACC 2017: 3400-3405
Coauthor Index
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