A5100439725- Advanced ceramic materials synthesis
- Nuclear Materials and Properties
- Advanced materials and composites
- Fusion materials and technologies
- Nuclear reactor physics and engineering
- Aluminum Alloys Composites Properties
- Sparse and Compressive Sensing Techniques
- Boron and Carbon Nanomaterials Research
- High-Temperature Coating Behaviors
- Smart Materials for Construction
- Advanced Energy Technologies and Civil Engineering Innovations
- MXene and MAX Phase Materials
- Nuclear materials and radiation effects
- Metal and Thin Film Mechanics
- Guidance and Control Systems
- Military Defense Systems Analysis
- Image Enhancement Techniques
- Catalytic Processes in Materials Science
- Magnesium Oxide Properties and Applications
- Chinese history and philosophy
- Advanced Image Processing Techniques
- Ferroelectric and Piezoelectric Materials
- Concrete Corrosion and Durability
- Wave and Wind Energy Systems
- Vibration and Dynamic Analysis
China National Petroleum Corporation (China)
2025
Northwestern Polytechnical University
2005-2025
University of Science and Technology Beijing
2016-2025
Harbin Institute of Technology
2023-2024
Shanghai Institute of Technology
2007-2024
Xi'an Jiaotong University
2016-2023
Shanghai Electric (China)
2023
Florida International University
2018-2022
Anhui University
2017-2022
National University of Defense Technology
2022
Blind image quality assessment (BIQA) for authentically distorted images has always been a challenging problem, since captured in the wild include varies contents and diverse types of distortions. The vast majority prior BIQA methods focus on how to predict synthetic quality, but fail when applied real-world images. To deal with challenge, we propose self-adaptive hyper network architecture blind assess wild. We separate IQA procedure into three stages including content understanding,...
The captured images under low-light conditions often suffer insufficient brightness and notorious noise. Hence, image enhancement is a key challenging task in computer vision. A variety of methods have been proposed for this task, but these failed an extreme environment amplified the underlying noise input image. To address such difficult problem, paper presents novel attention-based neural network to generate high-quality enhanced from raw sensor data. Specifically, we first employ...
Spark plasma sintering (SPS) has gained recognition in the last 20 years for its rapid densification of hard-to-sinter conventional and advanced materials, including metals, ceramics, polymers, composites. Herein, we describe unconventional usages SPS technique developed field. The potential various new modifications technique, from pressureless to integration a novel gas quenching system extrusion, led SPS’ evolution into completely manufacturing tool. technique’s have broadened usability...
An epoxy resin thermally conductive adhesive is a type of thermosetting polymer encapsulation material that exhibits comprehensive performance, and the thermomechanical properties this vary significantly under different curing conditions. In paper, spherical alumina was used as filler for thermal conductivity to prepare an using multistage freezing mixing method. The effects various conditions on thermal–mechanical fracture morphology were studied. results showed condition 150 °C/2.5 h...
Lithology identification is essential for formation evaluation and reservoir characterization, serving as a fundamental basis assessing the potential value of oil gas resources. However, traditional models often struggle with accuracy due to complexities nonlinear relationships class imbalances in well-logging data. This paper presents an effective multi-model ensemble approach lithology identification, integrating one-dimensional multi-scale convolutional neural networks (MCNN1D), Graph...
The effective tracking and management of on-site operations in power infrastructure (PI) is critical for assuring operational reliability avoiding service interruptions. Traditional monitoring systems are frequently constrained by human error, slow response times, the inability to give real-time data on system conditions. This research uses a digital identify PI, utilizing Time-Stamped Measurements (TSM) provide problem identification. suggested architecture made up both software hardware...
High‐strength beam steels are vital in automotive body‐in‐white structures due to their superior mechanical and fatigue properties. These often produced through thermomechanical controlled processes, yielding fine‐grained ferrite microstructures reinforced by small precipitates. Coiling temperature plays a pivotal role shaping the microstructure, including precipitation, dislocation density, grain boundaries, substructures. However, impact of microstructure on properties these remains...
Ischemic stroke (IS) ranks among the top causes of mortality and disability globally. Exosomes exert a crucial effect on maintaining complex regulatory balance with neuroinflammation in IS. Hence, this research aimed to elucidate roles exosome-related genes We integrated data from five IS-related datasets Gene Expression Omnibus (GEO) database ExoCarta. The least absolute shrinkage selection operator regression random forest models were performed detect feature genes. Search Tool for...