activity
20232026
most citedPrioritized Information Bottleneck Theoretic Framework with Distributed Online Learning for Edge Video Analytics

41 citations · 68 across the 35 of their papers we have counts for

collaborators

35 papers

cs.NI2026

Update the Unseen Only: Minimizing AoI for Collaborative Perception through Online Learning

Yanan Ma, Zhuoyi Zhao, Zhengru Fang +3

While collaborative perception (CP) enhances the safety of autonomous driving, limited bandwidth can cause severe shared data staleness in CP systems. Existing age-of-information (…

cs.RO2026

Harness VLA: Steering Frozen VLAs into Reliable Manipulation Primitives via Memory-Guided Agents

Yixian Zhang, Huanming Zhang, Feng Gao +14

Language-conditioned manipulation requires both precise contact-rich control and robust reasoning over language, scenes, and long horizons. End-to-end Vision-Language-Action (VLA)…

cs.CV2026

Universal Image Restoration via Internalized Chain-of-Thought Reasoning

Yu Guo, Zhengru Fang, Shengfeng He +4

Image restoration seeks to recover high-quality images from degraded inputs but becomes highly ill-posed under complex, mixed degradations. While unified all-in-one models are comm…

cs.RO2026

Multi-Agent Embodied Autonomous Driving (MAEAD): From V2X Information Exchange to Shared World Models

Senkang Hu, Zhengru Fang, Yihang Tao +3

Autonomous driving is shifting from isolated vehicle intelligence toward multi-agent embodied systems that share perception, infer intent, and coordinate action under uncertainty.…

cs.CV2026

FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views

Yihang Tao, Yu Guo, Zhengru Fang +2

We present FRUC, a feed-forward 3D Gaussian splatting framework for dynamic scene reconstruction from uncalibrated collaborative driving views. Existing multi-agent reconstruction…

cs.RO2026

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations

Zhengru Fang, Yu Guo, Fei Liu +5

Real-world visual systems face time-varying perturbations, including weather, sensor noise, compression artifacts, and background distractions. Existing image restoration methods a…