A5026605656- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Robotics and Sensor-Based Localization
- Material Dynamics and Properties
- Neutrino Physics Research
- Polymer crystallization and properties
- Ferroelectric and Negative Capacitance Devices
- Solidification and crystal growth phenomena
- Aluminum Alloy Microstructure Properties
- Rheology and Fluid Dynamics Studies
- Advanced Neural Network Applications
- 3D Surveying and Cultural Heritage
- Particle Detector Development and Performance
- Titanium Alloys Microstructure and Properties
- Advanced Image and Video Retrieval Techniques
- Software Testing and Debugging Techniques
- Advanced Vision and Imaging
- Black Holes and Theoretical Physics
- Atomic and Subatomic Physics Research
- Advanced Memory and Neural Computing
- Software Engineering Research
- Microstructure and mechanical properties
University of Chinese Academy of Sciences
2020-2025
National Synchrotron Radiation Laboratory
2023-2025
University of Science and Technology of China
2015-2025
Hong Kong University of Science and Technology
2025
University of Hong Kong
2025
Dalian Medical University
2025
Northwest University
2025
Xi'an University of Architecture and Technology
2025
ShanghaiTech University
2020-2024
Chinese Academy of Sciences
2020-2024
Camouflaged object detection (COD) aims to identify the objects that seamlessly blend into surrounding backgrounds. Due intrinsic similarity between camouflaged and background region, it is extremely challenging precisely distinguish by existing approaches. In this paper, we propose a hierarchical graph interaction network termed HGINet for detection, which capable of discovering imperceptible via effective among tokenized features. Specifically, first design region-aware token focusing...
Against the backdrop of accelerated global infrastructure development, one key objectives sustainable development is to achieve a construction model that safe, efficient, and environmentally low-impact. Therefore, safety tunnel health workers have become central issues in development. The present study explores relationship between micro-environment unsafe behavior workers, with focus on mediating role mental health. collected data, basic information status, data from six tunnels as research...
Introduction Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorders often co-occurring with sleep problems and other physical disorders. Vitamin D regulates supports normal brain function. Regrettably, no studies have looked at whether vitamin insufficiency exacerbates in ADHD children further affects symptoms. Objective This study aimed to examine symptoms aged 6â14 years. Methods case-control study, 260 (aged 6-14 years) were enrolled in, of whom 95 had...
Abstract A number of activities involved in testing software are known to be difficult and time consuming. Among them is the definition coding test oracles isolation faults once failures have been detected. Through a thorough rigorous empirical study, we investigate how instrumentation contracts could address both issues. Contracts useful technique specifying precondition postcondition operations class invariants, thus making objectâoriented analysis or design elements more precise. It one...
K-Nearest-Neighbor search (KNN) has been extensively used in the localization and mapping based on 3D laser point clouds smart vehicles. Considering real-time requirement of stringent battery constraint vehicles, it is a great challenge to develop highly energy-efficient KNN implementations. Unfortunately, previous implementations either cannot efficiently build data structures or massive unevenly distributed clouds. To solve issue, we propose new framework optimize implementation FPGAs....
The debate surrounding preorders in the primary nucleation of polymer crystals has captivated scientists for decades. By constructing a cylindrical order parameter (COP), we observe preordering-crystallization two-step process molecular dynamics simulation crystallization. Instead sharp interface between amorphous and crystalline regions assumed by classical theory (CNT), gradient COP profile that shifts toward higher values as nucleus size increases. In dynamics, depart from Markov...
Light detection and ranging (LiDAR) based normal distribution transform (NDT) is a popular localization algorithm in smart vehicles for its robustness accuracy. To meet the requirement of higher speed vehicles, LiDAR point clouds become increasingly large due to increase not only number laser channels but also their frame rates. However, previous NDT implementations fail achieve real-time performance when handling because they require an enormous search operations perform intensive...
A number of activities involved in testing software are known to be difficult and time consuming. Among them is the isolation faults once failures have been detected. In this paper, we investigate how instrumentation contracts could address issue. Contracts a useful technique specify precondition postcondition operations class invariants, thus making definition object-oriented analysis or design elements more precise. Our aim paper reuse instrument ease testing. thorough case study run where...
Although fuzzy-ball drilling fluid has been successfully applied in CBM well drilling, it is necessary to study its anti-collapse mechanism so that adjustable coalbed sealing effects, controllable strength, rational cost and reservoir damage degree can be realized. In this paper, laboratory measurement was performed on the uniaxial compressive strength of plungers No. 3 Qinshui Basin inlet pressure Ă38 mm coal plunger displacement. The strengths were tested compared after 2% potassium...
The influence of entanglement on the growth and melting polymer crystals is investigated by using molecular dynamics simulations across systems with different densities. Reducing density leads to a slight decrease crystal thickness L but an increase temperature Tm. To elucidate entanglement-related inverse relation between Tm L, we introduce fold surface free energy Ďf predominantly governed conformational entropy loss amorphous segments. results in Ďf. Combining contributions linear Ďf/L...
Simultaneous localization and mapping (SLAM), as an important research topic in robotics, is useful but challenging to estimate robot pose reconstruct a 3-D map of the surrounding environment. Despite recent success several deep neural networks for visual SLAM, those methods cannot achieve robust results complex industrial scenarios constructing accurate real-time maps due weak texture geometric structure. This paper presents novel efficient SLAM system based on pointâline-aware...
Both parameter quantization and depthwise convolution are essential measures to provide high-accuracy, lightweight, resource-friendly solutions when deploying deep neural networks (DNNs) onto edge-AI devices. However, combining the two methodologies may lead adverse effects: It either suffers from significant accuracy loss or long finetuning time. Besides, contemporary methods only selectively applied weight activation values but not bias scaling factor values, making them less practical for...
Feature extraction is a fundamental and essential step in light detection ranging (LiDAR) based simultaneously localization mapping (SLAM) algorithms. Considering the run-time requirement of feature stringent battery constraint smart vehicles, it great challenge to develop fast highly energy-efficient implementation for massive point clouds. Unfortunately, existing implementations not only fail exploit available parallelism but also make full use local information optimize computations. To...
Rapid detection of pathogenic bacteria within a few minutes is the key to control infectious disease. However, rapid in clinical samples quite challenging task due complex matrix, as well low abundance real samples. Herein, we employ label-free single-particle imaging approach address this challenge. By tracking scattering intensity variation single particles free solution, morphological heterogeneity can be identified with particle size smaller than diffraction limit, facilitating...