A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games. - Zifan Wang 002; Yi Shen 011; Zachary I. Bell; Scott Nivison; Michael M. Zavlanos; Karl Henrik Johansson (CDC, 2022)

Risk-Averse No-Regret Learning in Online Convex Games. - Zifan Wang 002; Yi Shen 011; Michael M. Zavlanos (ICML, 2022)

Distributed dynamic event-triggered communication and control for multi-agent consensus: A hybrid system approach. - Zifan Wang 002; Yabin Gao; Yifan Liu; Siyi Wang; Ligang Wu 001 (Inf. Sci., 2022)

Convergence Analysis of the Best Response Algorithm for Time-Varying Games. - Zifan Wang 002; Yi Shen 011; Michael M. Zavlanos; Karl Henrik Johansson (CDC, 2023)

Policy Evaluation in Distributional LQR. - Zifan Wang 002; Yulong Gao; Siyi Wang; Michael M. Zavlanos; Alessandro Abate; Karl Henrik Johansson (L4DC, 2023)

Learning of Nash Equilibria in Risk-Averse Games. - Zifan Wang 002; Yi Shen 011; Michael M. Zavlanos; Karl Henrik Johansson (ACC, 2024)

Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport. - Zifan Wang 002; Yi Shen 011; Michael M. Zavlanos; Karl Henrik Johansson (NeurIPS, 2024)

Risk-averse Learning with Non-Stationary Distributions. - Siyi Wang; Zifan Wang 002; Xinlei Yi; Michael M. Zavlanos; Karl Henrik Johansson; Sandra Hirche (CoRR, 2024)

Risk-averse learning with delayed feedback. - Siyi Wang; Zifan Wang 002; Karl Henrik Johansson; Sandra Hirche (CoRR, 2024)

Source-Guided Flow Matching. - Zifan Wang 002; Alice Harting; Matthieu Barreau; Michael M. Zavlanos; Karl Henrik Johansson (CoRR, 2025)

Constrained Optimization With Decision-Dependent Distributions. - Zifan Wang 002; Changxin Liu 001; Thomas Parisini; Michael M. Zavlanos; Karl Henrik Johansson (IEEE Trans. Autom. Control., 2025)