output
20162026
most citedFusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution

218 citations

52 papers

astro-ph.IM2026

Graph Learning with Multiplicative Aggregation for Solar Filament Fragment Association Modeling in Full-disk H Images

GaoFei Zhu, GangHua Lin, Xiao Yang +4

Solar filaments are prominent features in H observations. During their evolution, they often exhibit complex morphological and topological changes, which, due to line-of-sight p…

quant-ph2026

Telecom-Integrated Photonic Memory Operating Near the Mechanical Ground State

Jindao Tang, Bo Jing, Liping Zeng +11

Scalable quantum networks require quantum memories that are chip-integrated, telecom-band compatible, and capable of flexible retrieval. Nanofabricated mechanical resonators meet t…

eess.IV2026★ 1 cited

Mapping melliferous tree species in Kenya via one-class classification with hyperspectral unsupervised domain adaptation

Zhaozhi Luo, Janne Heiskanen, Ilja Vuorinne +6

The beekeeping sector holds significant potential for livelihood diversification among the agropastoral communities in Kenya. Melliferous tree species play a critical role by provi…

gr-qc2026★ 4 cited

Motions of spinning particles and chaos bound in Reissner-Nordström spacetime

Chuang Yang, Deyou Chen, Yongtao Liu

Previous research showed that the chaos bound proposed in \cite{MSS} can be violated under specific conditions within the scalar fields surrounding black holes. In this paper, we e…

hep-th2025★ 6 cited

Lyapunov exponents, phase transition and chaos bound in Kerr-Newman AdS spacetime

Chuang Yang, Chuanhong Gao, Deyou Chen +1

In this paper, we investigate Lyapunov exponents associated with chaotic motions of both massless and massive particles in the vicinity of a Kerr-Newman AdS black hole. Our explora…

math.OC2025

Fine-tuning for Data-enabled Predictive Control of Noisy Systems by Reinforcement Learning

Jinbao Wang, Shiliang Zhang, Jun Liu +2

Data-enabled predictive control (DeePC) leverages system measurements in characterizing system dynamics for optimal control. The performance of DeePC relies on optimizing its hyper…