1 citations · 1 across the 10 of their papers we have counts for
14 papers
Beyond Safe Execution: Safe Online Reinforcement Learning for Autonomous Driving with Value Calibration and Adaptive Guidance
Zeqiao Li, Yijing Wang, Haoyu Wang +2
Online reinforcement learning (RL) enables driving policies to adapt to changing deployment conditions, but requires safe exploration throughout training. Safety filtering alone do…
Posterior-Averaged Bellman Flow Matching for Distributional Critics
Zeqiao Li, Yijing Wang, Haoyu Wang +2
Distributional critics model the full return distribution, providing richer signals for exploration and risk-sensitive control. Recent work has shown that flow-based critics can mo…
DeGuNet: Depth-Guided Ultra-Compact Backbones for Efficient LiDAR-Camera 3D Detection
Haifa Zhang, Yijing Wang, Peixi Peng +1
In autonomous driving perception, the fusion of LiDAR and camera modalities has become the dominant paradigm for 3D object detection. However, current multi-modal frameworks heavil…
PathPainter: Transferring the Generalization Ability of Image Generation Models to Embodied Navigation
Yijin Wang, Yuru Tian, Xijie Huang +5
Bird's-eye-view (BEV) images have been demonstrated to provide valuable prior information for navigation. Given the global information provided by such views, two key challenges re…
Dual-Interaction-Aware Cooperative Control Strategy for Alleviating Mixed Traffic Congestion
Zhengxuan Liu, Yuxin Cai, Yijing Wang +3
As Intelligent Transportation System (ITS) develops, Connected and Automated Vehicles (CAVs) are expected to significantly reduce traffic congestion through cooperative strategies,…
Boosting Maximum Entropy Reinforcement Learning via One-Step Flow Matching
Zeqiao Li, Yijing Wang, Haoyu Wang +2
Diffusion policies are expressive yet incur high inference latency. Flow Matching (FM) enables one-step generation, but integrating it into Maximum Entropy Reinforcement Learning (…
Active Secure Neighbor Selection in Multi-Agent Systems with Byzantine Attacks
Jinming Gao, Yijing Wang, Wentao Zhang +3
This paper investigates the problem of resilient control for multi-agent systems in the presence of Byzantine adversaries via an active secure neighbor selection framework. A pre-d…
From Learning to Mastery: Achieving Safe and Efficient Real-World Autonomous Driving with Human-In-The-Loop Reinforcement Learning
Li Zeqiao, Wang Yijing, Wang Haoyu +4
Autonomous driving with reinforcement learning (RL) has significant potential. However, applying RL in real-world settings remains challenging due to the need for safe, efficient,…
Resilient Control for Networked Switched Systems With/Without ACK: An Active Quantized Framework
Rui Zhao, Zhiqiang Zuo, Yijing Wang +2
This paper deals with the quantized control problem for switched systems under denial-of-service (DoS) attack. Considering the system's defensive capability and the computational r…
Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving
Li Zeqiao, Wang Yijing, Wang Haoyu +4
Autonomous driving promises significant advancements in mobility, road safety and traffic efficiency, yet reinforcement learning and imitation learning face safe-exploration and di…
A Unified Attack Detection Strategy for Multi-Agent Systems over Transient and Steady Stages
Jinming Gao, Yijing Wang, Wentao Zhang +3
This paper proposes a unified detection strategy against three kinds of attacks for multi-agent systems (MASs) which is applicable to both transient and steady stages. For attacks…
Resilient control of networked switched systems subject to deception attack and DoS attack
Rui Zhao, Zhiqiang Zuo, Ying Tan +2
In this paper, the resilient control for switched systems in the presence of deception attack and denial-of-service (DoS) attack is addressed. Due to the interaction of two kinds o…
Robust output regulation of linear system subject to modeled and unmodeled uncertainty
Zhicheng Zhang, Zhiqiang Zuo, Xiang Chen +2
In this paper, a novel robust output regulation control framework is proposed for the system subject to noise, modeled disturbance and unmodeled disturbance to seek tracking perfor…
A Two-Functional-Network Framework of Opinion Dynamics
Wentao Zhang, Zhiqiang Zuo, Yijing Wang
A common trait involving the opinion dynamics in social networks is an anchor on interacting network to characterize the opinion formation process among participating social actors…