A5100384120- Soil Carbon and Nitrogen Dynamics
- Advanced Neural Network Applications
- ZnO doping and properties
- Mechanical and Optical Resonators
- Epoxy Resin Curing Processes
- AI in cancer detection
- Thermal properties of materials
- Advanced Photocatalysis Techniques
- Radiomics and Machine Learning in Medical Imaging
- Graphene research and applications
- Video Surveillance and Tracking Methods
- Advanced ceramic materials synthesis
- Electronic and Structural Properties of Oxides
- Human Pose and Action Recognition
- Advanced Authentication Protocols Security
- Advanced Vision and Imaging
- User Authentication and Security Systems
- Radioactive element chemistry and processing
- Copper-based nanomaterials and applications
- Spectroscopy Techniques in Biomedical and Chemical Research
- Gas Sensing Nanomaterials and Sensors
- Photonic and Optical Devices
- Ga2O3 and related materials
- Cryptography and Data Security
- Time Series Analysis and Forecasting
China Jiliang University
2023-2025
Centre Universitaire de Mila
2025
Chinese Academy of Sciences
2014-2024
University of Chinese Academy of Sciences
2020-2024
Changchun Institute of Optics, Fine Mechanics and Physics
2022-2024
Chengdu Institute of Biology
2022-2024
Mila - Quebec Artificial Intelligence Institute
2024
McGill University
2024
Shanghai Institute of Technology
2024
Ningbo Institute of Industrial Technology
2021-2023
Object detection in remote sensing scenarios plays an indispensable and significant role civilian, commercial, military areas, leveraging the power of convolutional neural networks (CNNs). Remote images, captured by crafts satellites, exhibit unique characteristics including complicated backgrounds, limited features, distinct density, varied scales. The contextual comprehensive information image can make a detector precisely localize classify targets, which is extremely valuable for object...
The majority of hepatitis C virus (HCV) infection develops chronic infection, which causes steatosis, cirrhosis and hepatocellular carcinoma. However, understanding HCV chronicity pathogenesis is hampered by its narrow host range, mostly restricted to human chimpanzee. Recent endeavour infect a variety humanized mice has not been able achieve persistent unless the essential innate immune responsive genes are knocked out. Nevertheless, such immune-compromised still lacked infection-induced...
To improve the accuracy of You Only Look Once v5s (YOLOv5s) algorithm for object detection, this paper proposes an improved YOLOv5s algorithm, CBAM-YOLOv5s, which introduces attention mechanism. A convolutional block module (CBAM) is incorporated into backbone network to its feature extraction ability. Furthermore, complete intersection-over-union (CIoU) loss used as bounding-box regression function accelerate speed process. Experiments are carried out on Pascal Visual Object Classes 2007...
Doping with extrinsic elements in bismuth vanadate (BiVO4, BVO) has been widely exploited for boosting photoelectrochemical (PEC) water splitting. However, changes the carrier transport behavior of doping, particular Bi-site doping BVO, are still not well understood. Here, we explore im pact site-selective on structural variation and electron BVO as its implication designing photoanodes improved performance. Two types single-crystalline doped films, V site substituted Mo (MoV) ions or Bi Gd...
Iodine plays a critical role in nuclear industries, medicine, and environmental monitoring, often occurring trace amounts wastewater contaminated environments. Despite the exploration of various adsorbents for iodine...
In this article, a kind of polyester-type phthalonitrile cyano resin (2,2-bis (((3-((4-(3,4-dicyanophenoxy) benzoyl)oxy)-2-(hydroxymethyl)-2-methylpropanoyl)oxy)methyl) propane-1,3-diyl)bis(oxy)) bis (2-(hydroxymethyl)-2-methyl-3-oxopropane-3, 1-diyl) (4-(3,4-dicyanophenoxy) benzoate (hbppn)) with branched structure was introduced. The molecular and relative mass hbppn were characterized by nuclear magnetic resonance, Fourier transform infrared spectroscopy, the matrix-assisted laser...
The forecasting of disease progression from images is a holy grail for clinical decision making. However, this task complicated by the inherent high dimensionality, temporal sparsity and sampling irregularity in longitudinal image acquisitions. Existing methods often rely on extracting hand-crafted features performing time-series analysis vector space, leading to loss rich spatial information within images. To overcome these challenges, we introduce ImageFlowNet, novel framework that learns...
Large language models (LLMs) augmented with external data have demonstrated remarkable capabilities in completing real-world tasks. Techniques for integrating into LLMs, such as Retrieval-Augmented Generation (RAG) and fine-tuning, are gaining increasing attention widespread application. Nonetheless, the effective deployment of data-augmented LLMs across various specialized fields presents substantial challenges. These challenges encompass a wide range issues, from retrieving relevant...
To improve the sensitivity and stability, a novel mode-localization resonant MEMS (Micro-Electro-Mechanical System) electric field sensor based on closed-loop feedback is presented in this paper. The principle that mode localization effect can dramatically increase of system. Moreover, order to detect real-time resolution stability sensor, introduced. One output signals fed back input port, where signal has been processed by phase-locked loop part automatic gain control part. This paper...
ZnGa2O4 is a promising semiconductor for developing high-performance deep-ultraviolet photodetectors owing to number of advantageous fundamental characteristics. However, Zn volatilization during the growth widely recognized problem that seriously degrades film quality and device performance. In this study, we report synthesis epitaxial thin films by pulsed laser deposition using non-stoichiometric Zn1+xGa2O4 target. It found supplementing excessive concentration from target highly effective...
Due to the complexity of electromechanical equipment and difficulties in obtaining large-scale health monitoring datasets, as well long-tailed distribution data, existing methods ignore certain characteristics data. In order solve these problems, this paper proposes a method for fault diagnosis rolling bearings based on an improved prototypical network-the weight networks (WPorNet). The main contributions are follows: (1) networks, which perform small-sample classification tasks, were by...
In order to expand the application of phenolic-type phthalonitrile resin in high-temperature fields, a series organic–inorganic hybrid materials have been prepared via conventional blending and doping method. The chemical transformations were monitored by various measurements, while curing behavior was evaluated differential scanning calorimetry (DSC), these new blends could be also cured under auto-catalytic process. onset polymerization exothermic temperature shifted lower temperatures...
Object detection in remote sensing is becoming a conspicuous challenge with the rapidly increasing quantity and quality of images. Although application Deep Learning has obtained remarkable performance Computer Vision, detecting multi-scale targets images still an unsolved problem, especially for small instances which possess limited features intricate backgrounds. In this work, we managed to cope problem by designing neck attention block (NAB), simple flexible module combines convolutional...