works on

From the 1 of 7 linked papers with an AI index.

collaborators

8 papers

cs.CV2026

DeGuNet: Depth-Guided Ultra-Compact Backbones for Efficient LiDAR-Camera 3D Detection

Haifa Zhang, Yijing Wang, Peixi Peng +1

DeGuNet is a lightweight image backbone designed for depth‑guided LiDAR‑camera fusion in 3D object detection, reducing model size and memory while improving speed and detection acc…

cs.LG2026

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 (…

eess.SY2025

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…

cs.LG2025

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,…

eess.SY2025

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…

cs.RO2025

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…