Zifan Wang

According to our database, Zifan Wang authored at least 20 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Asymmetric Learning in Convex Games.

Zifan Wang, Xinlei Yi, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson

IEEE Trans. Autom. Control., March, 2026

Efficient Tail-Aware Generative Optimization via Flow Model Fine-Tuning.

Zifan Wang, Riccardo De Santi, Xiaoyu Mo, Michael M. Zavlanos, Andreas Krause, Karl Henrik Johansson

CoRR, February, 2026

2025

Risk-Averse Learning with Varying Risk Levels.

Siyi Wang, Zifan Wang, Karl Henrik Johansson

CoRR, December, 2025

SparScene: Efficient Traffic Scene Representation via Sparse Graph Learning for Large-Scale Trajectory Generation.

Xiaoyu Mo, Jintian Ge, Zifan Wang, Chen Lv, Karl Henrik Johansson

CoRR, December, 2025

Wasserstein Distributionally Robust Nash Equilibrium Seeking with Heterogeneous Data: A Lagrangian Approach.

Zifan Wang, George Pantazis, Sergio Grammatico, Michael M. Zavlanos, Karl Henrik Johansson

CoRR, November, 2025

Distributionally Robust Federated Learning with Outlier Resilience.

Zifan Wang, Xinlei Yi, Xenia Konti, Michael M. Zavlanos, Karl Henrik Johansson

CoRR, September, 2025

Federated Flow Matching.

Zifan Wang, Anqi Dong, Mahmoud Selim, Michael M. Zavlanos, Karl Henrik Johansson

CoRR, September, 2025

Group Distributionally Robust Machine Learning under Group Level Distributional Uncertainty.

Xenia Konti, Yi Shen, Zifan Wang, Karl Henrik Johansson, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos

CoRR, September, 2025

Constrained Optimization With Decision-Dependent Distributions.

Zifan Wang, Changxin Liu, Thomas Parisini, Michael M. Zavlanos, Karl Henrik Johansson

IEEE Trans. Autom. Control., August, 2025

Source-Guided Flow Matching.

Zifan Wang, Alice Harting, Matthieu Barreau, Michael M. Zavlanos, Karl Henrik Johansson

CoRR, August, 2025

Risk-Averse Certification of Bayesian Neural Networks.

Xiyue Zhang, Zifan Wang, Yulong Gao, Licio Romao, Alessandro Abate, Marta Kwiatkowska

Proceedings of the Dependable Software Engineering. Theories, Tools, and Applications, 2025

2024

Risk-averse learning with delayed feedback.

Siyi Wang, Zifan Wang, Karl Henrik Johansson, Sandra Hirche

CoRR, 2024

Risk-averse Learning with Non-Stationary Distributions.

Siyi Wang, Zifan Wang, Xinlei Yi, Michael M. Zavlanos, Karl Henrik Johansson, Sandra Hirche

CoRR, 2024

Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport.

Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning of Nash Equilibria in Risk-Averse Games.

Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson

Proceedings of the American Control Conference, 2024

2023

Policy Evaluation in Distributional LQR.

Zifan Wang, Yulong Gao, Siyi Wang, Michael M. Zavlanos, Alessandro Abate, Karl Henrik Johansson

Proceedings of the Learning for Dynamics and Control Conference, 2023

Convergence Analysis of the Best Response Algorithm for Time-Varying Games.

Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl Henrik Johansson

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Distributed dynamic event-triggered communication and control for multi-agent consensus: A hybrid system approach.

Zifan Wang, Yabin Gao, Yifan Liu, Siyi Wang, Ligang Wu

Inf. Sci., 2022

Risk-Averse No-Regret Learning in Online Convex Games.

Zifan Wang, Yi Shen, Michael M. Zavlanos

Proceedings of the International Conference on Machine Learning, 2022

A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games.

Zifan Wang, Yi Shen, Zachary I. Bell, Scott Nivison, Michael M. Zavlanos, Karl Henrik Johansson

Proceedings of the 61st IEEE Conference on Decision and Control, 2022