output
20132026
most citedEEG based Emotion Recognition: A Tutorial and Review

484 citations

81 papers

cs.CV2026

Multimodal Industrial Anomaly Detection via Geometric Prior

Min Li, Jinghui He, Gang Li +3

The purpose of multimodal industrial anomaly detection is to detect complex geometric shape defects such as subtle surface deformations and irregular contours that are difficult to…

physics.ins-det2025

Performance evaluation of compact plastic scintillating fiber modules for muon tomography applications

Yiyue Li, Huiling Li, Hui Liang +4

Muon tomography is a non-destructive imaging technique that exploits cosmic-ray muons from multiple directions. Its performance critically depends on the stability, active-area cov…

physics.ins-det2025

4H-SiC PIN detector for alpha particles from room temperature to 90 °C

Xingchen Li, Sen Zhao, Mengke Cai +5

In the field of high-energy particle detection, detectors operating in high-radiation environments primarily face high costs associated with power consumption and cooling systems.…

math-ph2025

Asymptotics of the partition function of the perturbed Gross-Witten-Wadia unitary matrix model

Yu Chen, Shuai-Xia Xu, Yu-Qiu Zhao

We consider the asymptotics of the partition function of the extended Gross-Witten-Wadia unitary matrix model by introducing an extra logarithmic term in the potential. The partiti…

cond-mat.mtrl-sci2025

Revisiting the epitaxial SiN crystalline cap on AlGaN/GaN via evolutionary structure search

Xin Chen, Xin Luo, Duo Wang +2

In our recent experimental work (Appl. Phys. Lett. 125, 122109 (2024)), we observed that crystalline SiN cap layers a few nanometers thick can form in situ on GaN surfaces.…

physics.ins-det2025

Simulation of radiation damage effect on silicon detectors using RASER

Xingchen Li, Chenxi Fu, Hui Li +10

Silicon detectors play a crucial role in high energy physics experiments. In future high energy physics experiments, silicon detectors will be exposed to extremely high fluence env…

physics.app-ph2025★ 5 cited

Extending the Low-Frequency Limit of Time-Domain Thermoreflectance via Periodic Waveform Analysis

Mingzhen Zhang, Tao Chen, Shangzhi Song +5

Time-domain thermoreflectance (TDTR) is a powerful technique for characterizing the thermal properties of layered materials. However, its effectiveness at modulation frequencies be…

hep-ph2024★ 1 cited

Jet momentum reconstruction in the QGP background with machine learning

Ran Li, Yi-Lun Du, Shanshan Cao

We apply a Dense Neural Network (DNN) approach to reconstruct jet momentum within a quark-gluon plasma (QGP) background, using simulated data from PYTHIA and Linear Boltzmann Trans…

cond-mat.mtrl-sci2024★ 4 cited

Simultaneous Measurement of Thermal Conductivity, Heat Capacity, and Interfacial Thermal Conductance by Leveraging Negative Delay-Time Data in Time-Domain Thermoreflectance

Mingzhen Zhang, Tao Chen, Ao Zeng +3

Time-domain thermoreflectance (TDTR) is a widely used technique for characterizing the thermal properties of bulk and thin-film materials. Traditional TDTR analyses typically focus…

cs.CL2024★ 29 cited

BianCang: A Traditional Chinese Medicine Large Language Model

Sibo Wei, Xueping Peng, Yi-Fei Wang +8

The surge of large language models (LLMs) has driven significant progress in medical applications, including traditional Chinese medicine (TCM). However, current medical LLMs strug…

nucl-ex2024

The EMC Effect of Tritium and Helium-3 from the JLab MARATHON Experiment

D. Abrams, H. Albataineh, B. S. Aljawrneh +131

Measurements of the EMC effect in the tritium and helium-3 mirror nuclei are reported. The data were obtained by the MARATHON Jefferson Lab experiment, which performed deep inelast…

cond-mat.mes-hall2024★ 5 cited

Near-field radiative heat transfer between graphene-covered Weyl semimetals

Yang Hu, Xiaohu Wu, Xiuquan Huang +2

Polariton manipulations introduce novel approaches to modulate the near-field radiative heat transfer (NFRHT). Our theoretical investigation in this study centers on NFRHT in graph…

cond-mat.mtrl-sci2024★ 11 cited

Ineffectiveness of Formamidine in Suppressing Ultralow Thermal Conductivity in Cubic Hybrid Perovskite FAPbI3

Jiongzhi Zheng, Zheng Chang, Changpeng Lin +5

Fundamentally understanding the lattice dynamics and microscopic mechanisms of thermal transport in cubic hybrid organic-inorganic perovskites remains elusive, primarily due to the…

physics.optics2024★ 38 cited

High-rectification near-field radiative thermal diode using Weyl semimetals

Yang Hu, Haotuo Liu, Bing Yang +4

Thermal diodes, which allow heat transfer in a preferential direction while being blocked in a reverse direction, have numerous applications in thermal management, information proc…

cs.DC2024★ 22 cited

FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality

Biwei Yan, Hongliang Zhang, Minghui Xu +2

Federated learning is a powerful technique that enables collaborative learning among different clients. Prototype-based federated learning is a specific approach that improves the…

cs.CV2023★ 10 cited

Segment Anything Model is a Good Teacher for Local Feature Learning

Jingqian Wu, Rongtao Xu, Zach Wood-Doughty +3

Local feature detection and description play an important role in many computer vision tasks, which are designed to detect and describe keypoints in "any scene" and "any downstream…

astro-ph.SR2023★ 25 cited

Three-dimensional Turbulent Reconnection within Solar Flare Current Sheet

Yulei Wang, Xin Cheng, Mingde Ding +3

Solar flares can release coronal magnetic energy explosively and may impact the safety of near-earth space environments. Their structures and properties on macroscale have been int…

hep-ex2023★ 42 cited

Search for Dark-Matter-Nucleon Interactions with a Dark Mediator in PandaX-4T

Di Huang, Abdusalam Abdukerim, Zihao Bo +92

We report results of a search for dark-matter-nucleon interactions via a dark mediator using optimized low-energy data from the PandaX-4T liquid xenon experiment. With the ionizati…

cs.CR2023★ 33 cited

Image encryption for Offshore wind power based on 2D-LCLM and Zhou Yi Eight Trigrams

Lei Kou, Jinbo Wu, Fangfang Zhang +6

Offshore wind power is an important part of the new power system, due to the complex and changing situation at ocean, its normal operation and maintenance cannot be done without in…

cs.SI2023★ 31 cited

Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach

Zhongwei Zhan, Yingjie Wang, Peiyong Duan +6

Collaborative Mobile Crowdsourcing (CMCS) allows platforms to recruit worker teams to collaboratively execute complex sensing tasks. The efficiency of such collaborations could be…

physics.ins-det2023★ 13 cited

Towards a muon scattering tomography system for both low-Z and high-Z materials

Jiahui Chen, Huiling Li, Yiyue Li +1

Muon scattering tomography (MST) is a non-destructive technique to image various materials by utilizing cosmic ray muons as probes. A typical MST system with a two-fold track detec…

cs.CL2023★ 15 cited

Medical Question Summarization with Entity-driven Contrastive Learning

Wenpeng Lu, Sibo Wei, Xueping Peng +3

By summarizing longer consumer health questions into shorter and essential ones, medical question-answering systems can more accurately understand consumer intentions and retrieve…

cs.IR2023★ 108 cited

Multi-Behavior Recommendation with Cascading Graph Convolution Networks

Zhiyong Cheng, Sai Han, Fan Liu +3

Multi-behavior recommendation, which exploits auxiliary behaviors (e.g., click and cart) to help predict users' potential interactions on the target behavior (e.g., buy), is regard…

cs.LG2023★ 45 cited

Hybrid Variational Autoencoder for Time Series Forecasting

Borui Cai, Shuiqiao Yang, Longxiang Gao +1

Variational autoencoders (VAE) are powerful generative models that learn the latent representations of input data as random variables. Recent studies show that VAE can flexibly lea…