480 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Yong Chen11 · h 49
- Zhen-hua Zhao2 profiles11 · h 15
- Bing Chen2 profiles9 · h 10
- Huanshui Zhang2 profiles6 · h 45
- Q. Xie6 · h 10
- Shiqing Xin2 profiles6 · h 17
- Caifeng Shan5 · h 23
- Chuanzhong Li2 profiles5 · h 19
- W. Fan2 profiles5 · h 13
- Xiao-Zhao Chen5 · h 5
- Xiuzhen Cheng2 profiles5 · h 67
- Yan Xu2 profiles5 · h 88
- Shandong UniversityCN53 papers
- University of Science and Technology of ChinaCN29 papers
- Fudan UniversityCN27 papers
- Institute of Modern PhysicsCN26 papers
- Peking UniversityCN26 papers
- Chinese Academy of SciencesCN24 papers
- Beihang UniversityCN23 papers
- Nankai UniversityCN23 papers
- Shanghai Jiao Tong UniversityCN23 papers
- University of Maryland, College ParkUS22 papers
- Sun Yat-sen UniversityCN20 papers
- University of Shanghai for Science and TechnologyCN20 papers
38 papers · 1 filter
-double poles solutions for nonlocal Hirota equation with nonzero boundary conditions using Riemann-Hilbert method and PINN algorithm
Wei-Qi Peng, Yong Chen
We systematically investigate the nonlocal Hirota equation with nonzero boundary conditions via Riemann-Hilbert method and multi-layer physics-informed neural networks algorithm. S…
Light yield and field dependence measurement in PandaX-II dual-phase xenon detector
Zhou Huang, Abdusalam Abdukerim, Zihao Bo +76
The dual-phase xenon time projection chamber (TPC) is one of the most sensitive detector technology for dark matter direct search, where the energy deposition of incoming particle…
A Search for the Cosmic Ray Boosted Sub-GeV Dark Matter at the PandaX-II Experiment
Xiangyi Cui, Abdusalam Abdukerim, Zihao Bo +76
We report a novel search for the cosmic ray boosted dark matter using the 100~tonneday full data set of the PandaX-II detector located at the China Jinping Underground Labor…
Light Nuclei Collectivity from = 3 GeV Au+Au Collisions at RHIC
STAR Collaboration, M. S. Abdallah, B. E. Aboona +383
In high-energy heavy-ion collisions, partonic collectivity is evidenced by the constituent quark number scaling of elliptic flow anisotropy for identified hadrons. A breaking of th…
Low Radioactive Material Screening and Background Control for the PandaX-4T Experiment
Zhicheng Qian, Lin Si, Abdusalam Abdukerim +76
PandaX-4T is a ton-scale dark matter direct detection experiment using a dual-phase TPC technique at the China Jinping Underground Laboratory. Various ultra-low background technolo…
On the Casimir effect from the zero-point energy: A tangential force and its properties
Zhentao Zhang
We investigate the Casimir effect in the systems that consist of parallel but misaligned finite-size plates from the point of view of zero-point energy. We elaborate the zero-point…
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement
Xue Zhang, Gene Cheung, Jiahao Pang +3
A 3D point cloud is typically constructed from depth measurements acquired by sensors at one or more viewpoints. The measurements suffer from both quantization and noise corruption…
Hierarchical Deep Residual Reasoning for Temporal Moment Localization
Ziyang Ma, Xianjing Han, Xuemeng Song +2
Temporal Moment Localization (TML) in untrimmed videos is a challenging task in the field of multimedia, which aims at localizing the start and end points of the activity in the vi…
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study
Jiazhi Xia, Yuchen Zhang, Jie Song +3
Dimensionality Reduction (DR) techniques can generate 2D projections and enable visual exploration of cluster structures of high-dimensional datasets. However, different DR techniq…
VRMenuDesigner: A toolkit for automatically generating and modifying VR menus
Shengzhe Hou, Bruce H. Thomas
With the rapid development of Virtual Reality (VR) technology, the research of User Interface (UI), especially menus, in the VR environment has attracted more and more attention. H…
Data-driven vector localized waves and parameters discovery for Manakov system using deep learning approach
Juncai Pu, Yong Chen
An improved physics-informed neural network (IPINN) algorithm with four output functions and four physics constraints, which possesses neuron-wise locally adaptive activation funct…
Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction
Zixiong Wang, Pengfei Wang, Pengshuai Wang +6
Surface reconstruction is very challenging when the input point clouds, particularly real scans, are noisy and lack normals. Observing that the Multilayer Perceptron (MLP) and the…
Nucleon momentum distribution of from the axially deformed relativistic mean-field model with nucleon--nucleon correlations
Xuezhi Wang, Qinglin Niu, Jinjuan Zhang +4
Nucleon momentum distribution (NMD), particularly its high-momentum components, is essential for understanding the nucleon--nucleon () correlations in nuclei. Herein, we deve…
Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning
Hongxu Yang, Caifeng Shan, R. Arthur Bouwman +3
Medical instrument segmentation in 3D ultrasound is essential for image-guided intervention. However, to train a successful deep neural network for instrument segmentation, a large…
A new form of general soliton solutions and multiple zeros solutions for a higher-order Kaup-Newell equation
Jinyan Zhu, Yong Chen
Due to higher-order Kaup-Newell (KN) system has more complex and diverse solutions than classical second-order flow KN system, the research on it has attracted more and more attent…
Physics-informed neural networks method in high-dimensional integrable systems
Zhengwu Miao, Yong Chen
In this paper, the physics-informed neural networks (PINN) is applied to high-dimensional system to solve the (N+1)-dimensional initial boundary value problem with 2N+1 hyperplane…
A two-stage physics-informed neural network method based on conserved quantities and applications in localized wave solutions
Shuning Lin, Yong Chen
With the advantages of fast calculating speed and high precision, the physics-informed neural network method opens up a new approach for numerically solving nonlinear partial diffe…
Dark Matter Search Results from the PandaX-4T Commissioning Run
Yue Meng, Zhou Wang, Yi Tao +76
We report the first dark matter search results using the commissioning data from PandaX-4T. Using a time projection chamber with 3.7-tonne of liquid xenon target and an exposure of…
On the rate of convergence for an -stable central limit theorem under sublinear expectation
Mingshang Hu, Lianzi Jiang, Gechun Liang
In this paper, we propose a monotone approximation scheme for a class of fully nonlinear degenerate partial integro-differential equations (PIDEs) which characterize the nonlinear…
Salient Positions based Attention Network for Image Classification
Sheng Fang, Kaiyu Li, Zhe Li
The self-attention mechanism has attracted wide publicity for its most important advantage of modeling long dependency, and its variations in computer vision tasks, the non-local b…
Horizontal Position Reconstruction in PandaX-II
Dan Zhang, Andi Tan, Abdusalam Abdukerim +69
Dual-phase noble-gas time projection chambers (TPCs) have improved the sensitivities for dark matter direct search in past decades. The capability of TPCs to reconstruct 3-D vertex…
A survey of machine learning-based physics event generation
Yasir Alanazi, N. Sato, Pawel Ambrozewicz +5
Event generators in high-energy nuclear and particle physics play an important role in facilitating studies of particle reactions. We survey the state-of-the-art of machine learnin…
PINN deep learning for the Chen-Lee-Liu equation: Rogue wave on the periodic background
Weiqi Peng, Juncai Pu, Yong Chen
We consider the exact rogue periodic wave (rogue wave on the periodic background) and periodic wave solutions for the Chen-Lee-Liu equation via the odd-th order Darboux transformat…
Apply Artificial Neural Network to Solving Manpower Scheduling Problem
Tianyu Liu, Lingyu Zhang
The manpower scheduling problem is a kind of critical combinational optimization problem. Researching solutions to scheduling problems can improve the efficiency of companies, hosp…