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From the 1 of 9 linked papers with an AI index.

collaborators

9 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.RO2026

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 widely demonstrated to provide valuable prior information for navigation. Given the global information provided by such views, two key challe…

eess.SY2026

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,…

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,…