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

220 citations

19 papers

astro-ph.HE2026★ 3 cited

An extreme particle accelerator powered by pulsar PSR J1849-0001

The LHAASO Collaboration

Pulsar wind nebulae (PWNe) are bubbles of relativistic particles, powered by the rotational energy loss of the central pulsars. The Crab Nebula, powered by the Milky Way's most ene…

physics.plasm-ph2026

Resonant Excitation of Surface Plasmon for Wakefield Acceleration by Beating GW Lasers on Smooth Cylindrical Surface

Bifeng Lei, Hao Zhang, Alexandre Bonatto +5

We present a theoretical and numerical study of resonant surface-plasmon (SP) excitation driven by the beating of two co-propagating laser pulses on a smooth cylindrical plasma-vac…

cs.CY2026

How to check in continually over 4,000 days on an online learning platform? An empirical experience and a practical solution

Jialiang Lin

The check-in service is often provided as an incentive system by online learning platforms to help users establish a learning routine and achieve accomplishment. However, according…

cs.CV2025

Seeing Symbols, Missing Cultures: Probing Vision-Language Models' Reasoning on Fire Imagery and Cultural Meaning

Haorui Yu, Yang Zhao, Yijia Chu +1

Vision-Language Models (VLMs) often appear culturally competent but rely on superficial pattern matching rather than genuine cultural understanding. We introduce a diagnostic frame…

cond-mat.mtrl-sci2025★ 4 cited

Incipient ionic conductors: Ion-constrained lattices achieving superionic-like thermal conductivity by extreme anharmonicity

Yongheng Li, Chunqiu Lu, Bin Wei +7

Phonon liquid-like thermal conduction in the solid state enables superionic conductors to serve as efficient thermoelectric device candidates. While liquid-like motion of ions effe…

cs.NE2025★ 1 cited

CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity

Yongsheng Huang, Peibo Duan, Zhipeng Liu +4

Currently, most spiking neural networks (SNNs) still mimic the chain-like hierarchical architecture in traditional artificial neural networks (ANNs). This method significantly diff…

physics.med-ph2025★ 1 cited

Dependence of the Radical Dynamics on the Beam Temporal Profile in FLASH Radiotherapy

Jianhan Sun, Xianghui Kong, Jianfeng Lv +6

Purpose: This study aims to investigate the impact of the beam temporal profile on the radical dynamics and inter-track interactions of FLASH radiotherapy, supporting parameter opt…

cs.AI2025★ 27 cited

Large language models for automated scholarly paper review: A survey

Zhenzhen Zhuang, Jiandong Chen, Hongfeng Xu +2

Large language models (LLMs) have significantly impacted human society, influencing various domains. Among them, academia is not simply a domain affected by LLMs, but it is also th…

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…

astro-ph.HE2023★ 220 cited

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

LHAASO Collaboration

Some gamma-ray bursts (GRBs) have an afterglow in the tera-electronvolt (TeV) band, but the early onset of this afterglow has not been observed. We report observations with the Lar…

physics.app-ph2022★ 3 cited

Bio-realistic and versatile artificial dendrites made of anti-ambipolar transistors

Yifei Yang, Mingkun Xu, Jing Pei +4

The understanding of neural networks as neuron-synapse binaries has been the foundation of neuroscience, and therefore, the emerging neuromorphic computing technology that takes in…

cs.LG2021★ 17 cited

Spatiotemporal information conversion machine for time-series prediction

Hao Peng, Pei Chen, Rui Liu +1

Making predictions in a robust way is a difficult task only based on the observed data of a nonlinear system. In this work, a neural network computing framework, the spatiotemporal…

quant-ph2016★ 1 cited

Synchronization of two cavity-coupled qubits measured by entanglement

Tiantian Huan, Ri-gui Zhou, Hou Ian

Some nonlinear radiations such as superfluorescence can be understood as cooperative effects between atoms. We regard the cooperative radiation as a manifested effect secondary to…