output
20152026
most citedTransition Role of Entangled Data in Quantum Machine Learning

19 citations

18 papers

cs.DL2026

A large-scale dataset of sub-institution name disambiguation and hierarchical structures from OpenAlex

Zhentao Liang, Jin Mao, Gang Li

Accurate attribution of scholarly work to specific sub-institutional units, such as schools or departments of a university, is crucial for granular research assessment and policyma…

cs.CV2026

MetaDent: Labeling Clinical Images for Vision-Language Models in Dentistry

Meng-Xun Li, Wen-Hui Deng, Zhi-Xing Wu +6

Vision-Language Models (VLMs) have demonstrated significant potential in medical image analysis, yet their application in intraoral photography remains largely underexplored due to…

cs.CV2026

Spatial-Spectral Adaptive Fidelity and Noise Prior Reduction Guided Hyperspectral Image Denoising

Xuelin Xie, Xiliang Lu, Zhengshan Wang +2

The core challenge of hyperspectral image denoising is striking the right balance between data fidelity and noise prior modeling. Most existing methods place too much emphasis on t…

cs.CR2025

Capacitive Touchscreens at Risk: Recovering Handwritten Trajectory on Smartphone via Electromagnetic Emanations

Yukun Cheng, Shiyu Zhu, Changhai Ou +3

This paper reveals and exploits a critical security vulnerability: the electromagnetic (EM) side channel of capacitive touchscreens leaks sufficient information to recover fine-gra…

physics.soc-ph2025

The geography of novel and atypical research

Qing Ke, Tianxing Pan, Jin Mao

The production of knowledge has become increasingly a global endeavor. Yet, location related factors, such as local working environment and national policy designs, may continue to…

cs.AI2025★ 3 cited

QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry

Jiaqing Xie, Weida Wang, Ben Gao +5

Quantitative chemistry is central to modern chemical research, yet the ability of large language models (LLMs) to perform its rigorous, step-by-step calculations remains underexplo…

cs.CV2025★ 2 cited

Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning

Yiming Yang, Yueru Luo, Bingkun He +5

Extracting lane topology from perspective views (PV) is crucial for planning and control in autonomous driving. This approach extracts potential drivable trajectories for self-driv…

cs.CV2025★ 2 cited

Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison

Jiageng Zhong, Ming Li, Armin Gruen +3

Corals serve as the foundational habitat-building organisms within reef ecosystems, constructing extensive structures that extend over vast distances. However, their inherent fragi…

cs.SD2024★ 1 cited

Multimodal Laryngoscopic Video Analysis for Assisted Diagnosis of Vocal Fold Paralysis

Yucong Zhang, Xin Zou, Jinshan Yang +4

This paper presents the Multimodal Laryngoscopic Video Analyzing System (MLVAS), a novel system that leverages both audio and video data to automatically extract key video segments…

math.PR2024

Spectral measure of large random Helson matrices

Yanqi Qiu, Guocheng Zhen

We study the limiting spectral measure of large random Helson matrices and large random matrices of certain patterned structures. Given a real random variable $X \in L^{2+ \varepsi…

quant-ph2023★ 19 cited

Transition Role of Entangled Data in Quantum Machine Learning

Xinbiao Wang, Yuxuan Du, Zhuozhuo Tu +3

Entanglement serves as the resource to empower quantum computing. Recent progress has highlighted its positive impact on learning quantum dynamics, wherein the integration of entan…

physics.optics2021★ 15 cited

Non-Dispersive Space-Time Wave Packets Propagating in Dispersive Media

Hao He, Cheng Guo, Meng Xiao

Space-time wave packets can propagate invariantly in free space with arbitrary group velocity thanks to the spatio-temporal correlation. Here it is proved that the space-time wave…

cs.LG2021★ 13 cited

LocalDrop: A Hybrid Regularization for Deep Neural Networks

Ziqing Lu, Chang Xu, Bo Du +3

In neural networks, developing regularization algorithms to settle overfitting is one of the major study areas. We propose a new approach for the regularization of neural networks…

cs.CL2018★ 1 cited

Examining Scientific Writing Styles from the Perspective of Linguistic Complexity

Chao Lu, Yi Bu, Jie Wang +4

Publishing articles in high-impact English journals is difficult for scholars around the world, especially for non-native English-speaking scholars (NNESs), most of whom struggle w…

cs.CR2018★ 8 cited

An Efficient Privacy-Preserving Algorithm based on Randomized Response in IoT-based Smart Grid

Hui Cao, Shubo Liu, Zhitao Guan +3

Among existing privacy-preserving approaches, Differential Privacy (DP) is a powerful tool that can provide privacy-preserving noisy query answers over statistical databases and ha…

cond-mat.mtrl-sci2017

A continuum model for distributions of dislocations incorporating short-range interactions

Xiaohua Niu, Yichao Zhu, Shuyang Dai +1

Dislocations are the main carriers of the permanent deformation of crystals. For simulations of engineering applications, continuum models where material microstructures are repres…

cs.CY2015★ 1 cited

Information Resources Management Framework for Virtual Enterprise

Lingxiang Mao

Virtual enterprise is a new form of organization in recent years which adapt to the IT environment. Information resources management implemented in the virtual enterprise is determ…

math.AP2015★ 6 cited

Decay properties of smooth axially symmetric D-solutions to the steady Navier-Stokes equations

Shangkun Weng

We investigate the decay properties of smooth axially symmetric D-solutions to the steady Navier-Stokes equations. The achievements of this paper are two folds. One is improved dec…