6 citations · 8 across the 17 of their papers we have counts for
8 papers · 1 filter
Bayesian Holonic Systems: Equilibrium, Uniqueness, and Computation
Yunian Pan, Quanyan Zhu
This paper addresses the challenge of modeling and control in hierarchical, multi-agent systems, known as holonic systems, where local agent decisions are coupled with global syste…
Timing-Aware Two-Player Stochastic Games with Self-Triggered Control
Yunian Pan, Quanyan Zhu
We study self-triggered two-player stochastic games on Piecewise Deterministic Markov Processes (PDMPs) where each agent decides when to observe and which open-loop action to hold.…
Decentralized No-Regret Frequency-Time Scheduling for FMCW Radar Interference Avoidance
Yunian Pan, Jun Li, Lifan Xu +2
Automotive FMCW radars are indispensable to modern ADAS and autonomous-driving systems, but their increasing density has intensified the risk of mutual interference. Existing mitig…
A Games-in-Games Paradigm for Strategic Hybrid Jump-Diffusions: Hamilton-Jacobi-Isaacs Hierarchy and Spectral Structure
Yunian Pan, Quanyan Zhu
This paper develops a hierarchical games-in-games control architecture for hybrid stochastic systems governed by regime-switching jump-diffusions. We model the interplay between co…
From Texts to Shields: Convergence of Large Language Models and Cybersecurity
Tao Li, Ya-Ting Yang, Yunian Pan +1
This report explores the convergence of large language models (LLMs) and cybersecurity, synthesizing interdisciplinary insights from network security, artificial intelligence, form…
Preference-Centric Route Recommendation: Equilibrium, Learning, and Provable Efficiency
Ya-Ting Yang, Yunian Pan, Quanyan Zhu
Traditional approaches to modeling and predicting traffic behavior often rely on Wardrop Equilibrium (WE), assuming non-atomic traffic demand and neglecting correlations in individ…
A Game-Theoretic Approach for High-Resolution Automotive FMCW Radar Interference Avoidance
Yunian Pan, Jun Li, Lifan Xu +2
Nonlinear frequency hopping has emerged as a promising approach for mitigating interference and enhancing range resolution in automotive FMCW radar systems. Achieving an optimal ba…
Model-Agnostic Meta-Policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective
Yunian Pan, Tao Li, Quanyan Zhu
Meta-learning has been proposed as a promising machine learning topic in recent years, with important applications to image classification, robotics, computer games, and control sy…