A5019382833- Aluminum Alloys Composites Properties
- Advanced Welding Techniques Analysis
- High Entropy Alloys Studies
- Aluminum Alloy Microstructure Properties
- MXene and MAX Phase Materials
- Additive Manufacturing Materials and Processes
- High-Temperature Coating Behaviors
- Metal Forming Simulation Techniques
- Electronic Packaging and Soldering Technologies
- 3D IC and TSV technologies
- Advanced materials and composites
- Welding Techniques and Residual Stresses
- Intermetallics and Advanced Alloy Properties
- Spacecraft Dynamics and Control
- Additive Manufacturing and 3D Printing Technologies
- Mechanical stress and fatigue analysis
- Robotic Path Planning Algorithms
- Time Series Analysis and Forecasting
- Catalytic Processes in Materials Science
- Graphene research and applications
- Advanced Memory and Neural Computing
- ZnO doping and properties
- Evaluation Methods in Various Fields
- Perovskite Materials and Applications
- Microstructure and mechanical properties
Nanjing University of Aeronautics and Astronautics
2012-2025
Guangzhou University
2025
Zhongshan Hospital
2025
City University of Hong Kong
2023-2024
China Academy of Engineering Physics
2014-2022
Xi'an Shiyou University
2021
ArcelorMittal (United States)
2018
Thermal Power Research Institute
2010-2014
Information Technology Laboratory
2014
Electric Power Research Institute
2009
In the present work, duplex stainless steels (DSSs) SAF2507 were friction stir processed with flowing cryogenic medium mixed liquid nitrogen and industrial ethanol. Homogeneous ultrafine grained (UFG) dual-phase structure ferrite (α) austenite (γ) grains average size of around 1 μm was obtained due to significantly lower peak temperature shorter high-temperature duration. The developed UFG enabled a dramatic enhancement yield strength by about 22 %, while maintaining high elongation 55 %...
Navigating the complexities of person re-identification (ReID) in varied surveillance scenarios, particularly when occlusions occur, poses significant challenges. We introduce an innovative Motion-Aware Fusion (MOTAR-FUSE) network that utilizes motion cues derived from static imagery to significantly enhance ReID capabilities. This incorporates a dual-input visual adapter capable processing both images and videos, thereby facilitating more effective feature extraction. A unique aspect our...
The challenge of accurately identifying individuals in different surveillance settings, particularly where obstructions occur, is significant the field person re-identification (ReID). We introduce a groundbreaking framework called Motion-Aware FUsion (MAFU) network, crafted to utilize motion cues derived from static images enhance accuracy ReID. This innovative network employs dual-input mechanism that integrates analysis both still imagery and videos, improving identification crucial...