output
20162026
most citedA tera-electronvolt afterglow from a narrow jet in an extremely bright gamma-ray burst 221009A

220 citations

Showing 2024Show all

7 papers · 1 filter

math.DG2024

Volume gap between the minimal submanifold and the unit sphere

Weiran Ding, Jianquan Ge, Fagui Li

In this paper, following the method of Cheng-Li-Yau, we first modify the coefficients in the constant to improve the volume gap. Further, we also enlarge our gap by applying…

cs.LG2024★ 6 cited

Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification

Zijie Zhou, Zhaoqi Lu, Xuekai Wei +4

Graph Neural Networks (GNNs) are widely used in graph data mining tasks. Traditional GNNs follow a message passing scheme that can effectively utilize local and structural informat…

math.DG2024

Pinching rigidity of minimal surfaces in spheres

Weiran Ding, Jianquan Ge, Fagui Li

In this paper we give a pinching theorem of the Simon conjecture in the case s=3 and also give a new proof of the cases s=1 and s=2 by some Simons-type integral inequalities.

astro-ph.HE2024★ 9 cited

Ultrahigh-Energy Gamma-ray Emission Associated with Black Hole-Jet Systems

The LHAASO Collaboration, Zhen Cao, Felix Aharonian +315

Black holes (BH), one of the most intriguing objects in the universe, can manifest themselves through electromagnetic radiation initiated by the accretion flow. Some stellar-mass B…

cs.LG2024★ 91 cited

Short-Term Electricity-Load Forecasting by Deep Learning: A Comprehensive Survey

Qi Dong, Rubing Huang, Chenhui Cui +4

Short-Term Electricity-Load Forecasting (STELF) refers to the prediction of the immediate demand (in the next few hours to several days) for the power system. Various external fact…

astro-ph.IM2024★ 13 cited

LHAASO-KM2A detector simulation using Geant4

Zhen Cao, F. Aharonian, Q. An +275

KM2A is one of the main sub-arrays of LHAASO, working on gamma ray astronomy and cosmic ray physics at energies above 10 TeV. Detector simulation is the important foundation for es…

cs.NE2024★ 4 cited

Understanding the Functional Roles of Modelling Components in Spiking Neural Networks

Huifeng Yin, Hanle Zheng, Jiayi Mao +6

Spiking neural networks (SNNs), inspired by the neural circuits of the brain, are promising in achieving high computational efficiency with biological fidelity. Nevertheless, it is…