output
20052026
most citedA deep learning-based remaining useful life prediction approach for bearings

235 citations

154 papers

cs.CV2026

Multi-exposure HDR Imaging: A Review of Pixel-level and Feature-level Reconstruction Methods

Qian Tao, Wei Wang, Chaobing Zheng +1

Multi-exposure is an efficient way to capture real-world high-dynamic-range (HDR) scenes. However, HDR imaging suffers from severe ghosting artifacts in dynamic scenes due to the t…

cond-mat.mtrl-sci2026★ 1 cited

Ferrimagnetic Skyrmions in a Tetragonal Mn1.9Co0.1Sb Single Crystal at Room Temperature

Huanhuan Zhang, YaJiao Ke, Weiwei Wang +10

The development of room temperature small-sized ferrimagnetic skyrmion materials is significant for topological spintronic device applications. As a room temperature ferrimagnetic…

cs.RO2026

SPLC: Social Preference Learning for Crowd Robot Navigation

Zixuan Chen, Hao Fu, Haiwen Hu +1

Offline reinforcement learning (RL) holds significant potential for crowd robot navigation in human-robot coexistence applications. However, the inherent complexity of pedestrian m…

cond-mat.mtrl-sci2026

Silicon-compatible ideal antiferroelectricity with large digital electromechanical responses enabled by thermal-strain domain engineering

Hao Xiong, Huazhang Zhang, Liang Shu +16

Antiferroelectrics exhibit reversible antipolar-polar transformations, offering a compelling platform for multiple functionalities in modern nanoelectronics, yet deterministic cont…

physics.optics2026★ 3 cited

Recent advances in the combination of nonlinearity and exceptional points

Kai Bai, Chen Lin, Jia-Zheng Li +1

The exotic physics emerging at singularities has long attracted intense theoretical and experimental attention. In non-Hermitian systems, exceptional points (EPs), unique spectral…

physics.optics2026

Spatiotemporal Optical Vortices From All-Dielectric Bilayer Metagratings

Ken Qin, Shijie Kang, Aoning Luo +9

Spatiotemporal optical vortices (STOVs) carry transverse orbital angular momentum within the space-time domain, rendering them powerful tools for constructing high-dimensional and…