A5100659019- Thermochemical Biomass Conversion Processes
- Granular flow and fluidized beds
- Fault Detection and Control Systems
- Prosthetics and Rehabilitation Robotics
- Engineering Diagnostics and Reliability
- Cyclone Separators and Fluid Dynamics
- Coal Combustion and Slurry Processing
- Appendicitis Diagnosis and Management
- Gastrointestinal disorders and treatments
- Transportation Planning and Optimization
- Risk and Safety Analysis
- Iron and Steelmaking Processes
- Esophageal and GI Pathology
- Machine Fault Diagnosis Techniques
- Stroke Rehabilitation and Recovery
- Intraperitoneal and Appendiceal Malignancies
- Polyoxometalates: Synthesis and Applications
- Subcritical and Supercritical Water Processes
- Particle Dynamics in Fluid Flows
- Cryptography and Data Security
- Combustion and flame dynamics
- Nuclear Engineering Thermal-Hydraulics
- Real-time simulation and control systems
- Muscle activation and electromyography studies
- Education and Work Dynamics
First Affiliated Hospital of Zhengzhou University
2021-2025
Beijing Information Science & Technology University
2025
Harbin Engineering University
2020-2024
Shanghai Institute of Technology
2024
Harbin Institute of Technology
2020-2024
Yellow River Institute of Hydraulic Research
2022-2024
Chang'an University
2022-2024
Ministry of Industry and Information Technology
2021-2023
North China Electric Power University
2023
Chongqing University
2021
Semantic segmentation of high-resolution remote sensing images is highly challenging due to the presence a complicated background, irregular target shapes, and similarities in appearance multiple categories. Most existing methods that rely only on simple fusion extracted multi-scale features often fail provide satisfactory results when there large difference sizes. Handling this problem through context extraction efficient features, paper we present an end-to-end adaptive feature network...
Rotating machinery is widely applied in important equipment of nuclear power plants (NPPs), such as pumps and valves. The research on intelligent fault diagnosis rotating crucial to ensure the safe operation related NPPs. However, practical applications, data-driven faces problem small imbalanced samples, resulting low model training efficiency poor generalization performance. Therefore, a deep convolutional conditional generative adversarial network (DCCGAN) constructed mitigate impact...
Abstract Background This study aimed to investigate the diagnostic and therapeutic value of a digital single-operator cholangioscope (SOC) system for endoscopic management acute appendicitis. Methods 14 patients with uncomplicated simple or supportive appendicitis were evaluated between November 2018 September 2020. The diagnosis was confirmed by direct colonoscopy imaging cholangioscope. success rate SOC-assisted retrograde therapy (ERAT), procedure time, postoperative length hospital stay,...
Sketch face synthesis aims to generate sketch images from photos. Recently, contrastive learning, which maps and aligns information across diverse modalities, has found extensive application in image translation. However, when applying traditional learning synthesis, the random sampling strategy imbalance between positive negative samples result poor performance of synthesized regarding local details. To address above challenges, we propose A Facial Structure Sampling Contrastive Learning...
With the help of wearable robotics, lower limb exoskeleton becomes a promising solution for spinal cord injury (SCI) patients to recover body locomotion ability. However, fewer gait planning methods can meet needs patient in real time, e.g., stride length or step width, etc., which may lead human-machine incoordination, limit comfort, and increase risk falling. This work presents human-exoskeleton-crutch system with center pressure (CoP)-based method enable balance control during...