A5101398900- Aluminum Alloy Microstructure Properties
- Aluminum Alloys Composites Properties
- Microstructure and mechanical properties
- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Colorectal Cancer Surgical Treatments
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Robotics and Sensor-Based Localization
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Microstructure and Mechanical Properties of Steels
- Network Security and Intrusion Detection
- Autonomous Vehicle Technology and Safety
- Epigenetics and DNA Methylation
- Recommender Systems and Techniques
- Remote Sensing and Land Use
- Sparse and Compressive Sensing Techniques
- Metallurgy and Material Forming
- Industrial Vision Systems and Defect Detection
- Advanced Graph Neural Networks
- Advanced Image Processing Techniques
- Inertial Sensor and Navigation
- Numerical methods in inverse problems
- Remote Sensing in Agriculture
Guangdong Provincial People's Hospital
2007-2025
Southern Medical University
2025
Beijing University of Technology
2018-2024
Northeastern University
2013-2024
Chengdu Guoke Haibo Information Technology (China)
2024
Hebei Medical University
2024
Fourth Hospital of Hebei Medical University
2024
Tianjin University
2024
Aluminum Corporation of China (China)
2024
Guangdong Academy of Medical Sciences
2016-2023
Al–Zn–Mg–Cu alloys were fabricated with water-cooled copper casting. The microstructure of the was characterized by electron probe microanalysis (EPMA), scanning microscope (SEM), transmission microscopy (TEM), and X-ray diffractometry (XRD). mechanical properties studied tensile hardness tests. results showed an enhanced effect solid solution strengthening precipitation increased Cu content. distribution spacing grain boundary precipitates (GBPs) increased, but width precipitate-free zone...
Session-based recommendation (SBR) aims at the next-item prediction with a short behavior session. Existing solutions fail to address two main challenges: 1) user interests are shown as dynamically coupled intents, and 2) sessions always contain noisy signals. To them, in this paper, we propose hypergraph-based solution, HIDE. Specifically, HIDE first constructs hypergraph for each session model possible interest transitions from distinct perspectives. then disentangles intents under item...
As a new non-traditional method of alloy preparation, the electromagnetic twin-roll casting (ETRC) technology overcomes defects traditional technologies in preparation aluminum alloy, especially Al–Li such as gas hole mold and macro segregation (TRC) process, which greatly improves comprehensive properties strip. In present work, evolution microstructure fabricated by copper casting, TRC ETRC processes during homogenization have been investigated detail. Under action field, secondary...
Patients with gastric cancer experience health-related quality of life (HRQOL) decline during adjuvant chemotherapy following gastrectomy.
Widely applied in today's recommender systems, sequential recommendation predicts the next interacted item for a given user via his/her historical sequence. However, suffers data sparsity issue like most recommenders. To extract auxiliary signals from data, some recent works exploit self-supervised learning to generate augmented dropout strategy, which, however, leads sparser and obscure signals. In this paper, we propose D ual C ontrastive N etwork (DCN) boost recommendation, new...
Understanding the performance of polymeric perfluoro-lubricants under femtosecond laser irradiation is great fundamental importance in enhancing stability and durability micro- nano-devices. In this paper, molecular dynamics simulations perfluoropolyether are carried out to investigate evolution depletion molecularly thin lubricants when subjected heating. Ultrathin lubricant films modeled by coarse-grained bead-spring model coated on an inert substrate. Periodical surface morphology layered...
Diamond and cubic boron nitride (cBN) as conventional superhard materials have found widespread industrial applications, but both inherent limitations. is not suitable for high-speed cutting of ferrous due to its poor chemical inertness, while cBN only about half hard diamond. Because their affinity in structural lattices covalent bonding character, diamond could form alloys that can potentially fill the performance gap. However, idea has never been demonstrated because samples obtained...
The capability of acquiring accurate and dense three-dimensional geospatial information that covers large survey areas rapidly enables airborne light detection ranging (LiDAR) has become a powerful technology in numerous fields applications analysis. LiDAR data filtering is the first essential step for digital elevation model generation, land cover classification, object reconstruction. morphological approaches have advantages simple concepts easy implementation, which are able to filter...
Large-scale point clouds scanned by light detection and ranging (lidar) sensors provide detailed geometric characteristics of scenes due to the provision 3D structural data. The semantic segmentation large-scale is a crucial step for an in-depth understanding complex scenes. Of late, although large number cloud algorithms have been proposed, methods are still far from being satisfactory in terms precision accuracy clouds. For machine learning (ML) deep (DL) methodologies, largely influenced...
Profound heterogeneity in prognosis has been observed colorectal cancer (CRC) patients with intermediate levels of disease (stage II-III), advocating the identification valuable biomarkers that could improve prognostic stratification. This study aims to develop a deep learning-based pipeline for fully automatic quantification immune infiltration within stroma region on immunohistochemical (IHC) whole-slide images (WSIs) and further analyze its value CRC.Patients from two independent cohorts...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTAtom-based modeling of amorphous 1,4-cis-polybutadieneYong Li and Wayne L. MatticeCite this: Macromolecules 1992, 25, 19, 4942–4947Publication Date (Print):September 1, 1992Publication History Published online1 May 2002Published inissue 1 September 1992https://pubs.acs.org/doi/10.1021/ma00045a020https://doi.org/10.1021/ma00045a020research-articleACS PublicationsRequest reuse permissionsArticle Views223Altmetric-Citations52LEARN ABOUT THESE...
Various computational analysis systems based on machine learning (ML) methods have been established for the of steel industrial data. However, limited by extensibility one regression strategy, it is difficult to obtain a generic property prediction model multiple types steels. To solve this problem, study proposes novel big data system that combines ML classification and models with key physical metallurgy (PM) variables. First, database obtained from an production line carefully...
With more and frequent population movement between different cities, like users' travel or business trip, recommending personalized cross-city Point-of-Interests (POIs) for these users has become an important scenario of POI recommendation tasks. However, traditional models degrade significantly due to sparsity problem because travelers only have limited visiting behaviors. Through a detailed analysis real-world check-data, we observe 1) the phenomenon travelers' interest drift transfer...