Weidong Jiang — accepted AI-conference papers

2026

Scan Clusters, Not Pixels: A Cluster-Centric Paradigm for Efficient Ultra-high-definition Image Restoration

Chen Wu, Ling Wang, Zhuoran Zheng, Yuning Cui, Zhixiong Yang, Xiangyu Chen +3

CVPR 2026

Ultra-High-Definition (UHD) image restoration is trapped in a scalability crisis: existing models, bound to pixel-wise operations, demand unsustainable computation. While state space models (SSMs) like Mamba promise linear complexity, their pixel-serial scanning remains a fundamental bottleneck for

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2025

RADRadar: Range-Angle-Doppler Feature Cube Reconstruction for Radar Scene Perception

Jiawei Qiao, Shuaifeng Zhi, Dewen Hu, Weidong Jiang

RA-L 2025

Compared to cameras and lidars, millimeter-wave radar's capability to operate under all-weather, all-day conditions makes it indispensable in autonomous driving. The radar cube, comprising range (R), azimuth (A), and Doppler velocity (D) dimensions, serves as an effective data representation due to

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