Mechanism design for reliability in demand response with uncertainty. - Yingying Li 005; Na Li 002 (ACC, 2017)

Using Predictions in Online Optimization with Switching Costs: A Fast Algorithm and A Fundamental Limit. - Yingying Li 005; Guannan Qu; Na Li 002 (ACC, 2018)

Learning and Selecting the Right Customers for Reliability: A Multi-Armed Bandit Approach. - Yingying Li 005; Qinran Hu; Na Li 002 (CDC, 2018)

Online Learning for Markov Decision Processes in Nonstationary Environments: A Dynamic Regret Analysis. - Yingying Li 005; Na Li 002 (ACC, 2019)

Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis. - Yingying Li 005; Xin Chen 036; Na Li 002 (NeurIPS, 2019)

Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. - Yingying Li 005; Yujie Tang 002; Runyu Zhang 001; Na Li 002 (L4DC, 2020)

Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms. - Yingying Li 005; Na Li 002 (NeurIPS, 2020)

A reliability-aware multi-armed bandit approach to learn and select users in demand response. - Yingying Li 005; Qinran Hu; Na Li 002 (Autom., 2020)

Online Optimal Control with Affine Constraints. - Yingying Li 005; Subhro Das; Na Li 002 (AAAI, 2021)

On the Regret Analysis of Online LQR Control with Predictions. - Runyu Zhang 001; Yingying Li 005; Na Li 002 (ACC, 2021)

Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees. - Yingying Li 005; Subhro Das; Jeff S. Shamma; Na Li 002 (CoRR, 2021)

Online Optimization With Predictions and Switching Costs: Fast Algorithms and the Fundamental Limit. - Yingying Li 005; Guannan Qu; Na Li 002 (IEEE Trans. Autom. Control., 2021)

Online Learning and Distributed Control for Residential Demand Response. - Xin Chen 036; Yingying Li 005; Jun Shimada; Na Li 002 (IEEE Trans. Smart Grid, 2021)

Online Hyperparameter Optimization for Class-Incremental Learning. - Yaoyao Liu 001; Yingying Li 005; Bernt Schiele; Qianru Sun (AAAI, 2023)

Online switching control with stability and regret guarantees. - Yingying Li 005; James A. Preiss; Na Li 002; Yiheng Lin 001; Adam Wierman; Jeff S. Shamma (L4DC, 2023)

Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations. - Yiheng Lin 001; James A. Preiss; Emile Anand; Yingying Li 005; Yisong Yue; Adam Wierman (NeurIPS, 2023)

Non-asymptotic System Identification for Linear Systems with Nonlinear Policies. - Yingying Li 005; Tianpeng Zhang; Subhro Das; Jeff S. Shamma; Na Li 002 (CoRR, 2023)

Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis. - Yingying Li 005; Jing Yu 010; Lauren E. Conger; Adam Wierman (CoRR, 2023)

Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis. - Yingying Li 005; Jing Yu 010; Lauren E. Conger; Taylan Kargin; Adam Wierman (ICML, 2024)

Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees. - Negin Musavi; Ziyao Guo; Geir E. Dullerud; Yingying Li 005 (NeurIPS, 2024)

Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos. - Yaoyao Liu 001; Yingying Li 005; Bernt Schiele; Qianru Sun (WACV, 2024)

Online Nonstochastic Control Versus Retrospective Cost Adaptive Control. - Usman Syed; Yingying Li 005; Bin Hu 002 (IEEE Control. Syst. Lett., 2024)