output
20152026
most citedDistance-IoU Loss: Faster and Better Learning for Bounding Box Regression

961 citations

18 papers

hep-ph2026

Finding a clean process to probe absolutely exotic four-quark states

Man-Yu Duan, Guan-Ying Wang, Yun Liang +3

Motivated by the observations of and , we propose to search for $\tcsbar^0$ in the cleaner process . In the $…

cond-mat.str-el2025★ 3 cited

Strongly Entangled Kondo and Kagome Lattices and the Emergent Magnetic Ground State in Heavy-Fermion Kagome Metal YbVSn

Rui Lou, Max Mende, Riccardo Vocaturo +31

Applying angle-resolved photoemission spectroscopy and density functional theory calculations, we present compelling spectroscopic evidence demonstrating the intertwining and mutua…

cs.LG2025

Graph Wave Networks

Juwei Yue, Haikuo Li, Jiawei Sheng +5

Dynamics modeling has been introduced as a novel paradigm in message passing (MP) of graph neural networks (GNNs). Existing methods consider MP between nodes as a heat diffusion pr…

cs.CE2025★ 8 cited

An evolutionary approach to predict slope displacement of earth embankments under earthquake ground motions

Jin Zhenyang, Sanglin Zhao, Fan Siyu +1

Accurate slope stability analysis of earth embankments under ground shaking is of great importance for practical use in earthquake geotechnics. This study aims to predict soil slop…

cond-mat.str-el2025★ 12 cited

Electronic band structures of topological kagome materials

Man Li, Huan Ma, Rui Lou +1

The kagome lattice has garnered significant attention due to its ability to host quantum spin Fermi liquid states. Recently, the combination of unique lattice geometry, electron-el…

quant-ph2024★ 3 cited

Anyonic quantum multipartite maskers in the Kitaev model

Yao Shen, Wei-Min Shang, Chi-Chun Zhou +1

The structure of quantum mechanics forbids a bipartite scenario for masking quantum information, however, it allows multipartite maskers. The Latin squares are found to be closely…

cs.CR2024★ 41 cited

Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection

Ruitong Liu, Yanbin Wang, Haitao Xu +4

Code Language Models (codeLMs) and Graph Neural Networks (GNNs) are widely used in code vulnerability detection. However, GNNs often rely on aggregating information from adjacent n…

cond-mat.str-el2023★ 11 cited

Orbital-selective effect of spin reorientation on the Dirac fermions in a non-charge-ordered kagome ferromagnet FeGe

Rui Lou, Liqin Zhou, Wenhua Song +13

Kagome magnets provide a fascinating platform for the realization of correlated topological quantum phases under various magnetic ground states. However, the effect of the magnetic…

cs.CV2022★ 22 cited

An Attention-Guided and Wavelet-Constrained Generative Adversarial Network for Infrared and Visible Image Fusion

Xiaowen Liu, Renhua Wang, Hongtao Huo +2

The GAN-based infrared and visible image fusion methods have gained ever-increasing attention due to its effectiveness and superiority. However, the existing methods adopt the glob…

quant-ph2021

A group method solving many-body systems in intermediate statistical representation

Yao Shen, Chi-Chun Zhou, Wu-sheng Dai +1

The exact solution of the interacting many-body system is important and is difficult to solve. In this paper, we introduce a group method to solve the interacting many-body problem…

quant-ph2021★ 7 cited

Perfect teleportation with a partially entangled quantum channel

Xiang Chen, Yao Shen, Fu-Lin Zhang

Quantum teleportation provides a way to transfer unknown quantum states from one system to another via an entangled state as a quantum channel without physical transmission of the…

quant-ph2020★ 6 cited

Intermediate symmetric construction of transformation between anyon and Gentile statistics

Yao Shen

Gentile statistics describes fractional statistical systems in the occupation number representation. Anyon statistics researches those systems in the winding number representation.…

cs.CV2019★ 961 cited

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Zhaohui Zheng, Ping Wang, Wei Liu +3

Bounding box regression is the crucial step in object detection. In existing methods, while -norm loss is widely adopted for bounding box regression, it is not tailored to…

cs.MM2017

Acceleration of Histogram-Based Contrast Enhancement via Selective Downsampling

Gang Cao, Huawei Tian, Lifang Yu +2

In this paper, we propose a general framework to accelerate the universal histogram-based image contrast enhancement (CE) algorithms. Both spatial and gray-level selective down-sam…

cs.MM2017★ 8 cited

Contrast Enhancement of Brightness-Distorted Images by Improved Adaptive Gamma Correction

Gang Cao, Lihui Huang, Huawei Tian +3

As an efficient image contrast enhancement (CE) tool, adaptive gamma correction (AGC) was previously proposed by relating gamma parameter with cumulative distribution function (CDF…

physics.chem-ph2016★ 3 cited

Optical Properties of Synthetic Cannabinoids with Negative Indexes

Yao Shen, Yu-Zhu Chen

Some kinds of psychoactive drugs have the structures which are called split-ring resonators (SRRs). SRRs might result in negative permittivity and permeability simultaneously in el…

physics.med-ph2015★ 5 cited

Optical Properties of Drug Metabolites in Latent Fingermarks

Yao Shen, Qing Ai

Drug metabolites usually have structures of split-ring resonators (SRRs), which might lead to negative permittivity and permeability in electromagnetic field. As a result, in the U…

quant-ph2015★ 16 cited

Negative Refraction Induced by Möbius Topology

Y. N. Fang, Yao Shen, Qing Ai +1

We theoretically show the negative refraction existing in Möbius molecules. The negative refractive index is induced by the non-trivial topology of the molecules. With the Möbius b…