A5106455546- Video Analysis and Summarization
- Model-Driven Software Engineering Techniques
- Software Engineering Research
- Isotope Analysis in Ecology
- Quantum Information and Cryptography
- Advanced Glycation End Products research
- Quantum Computing Algorithms and Architecture
- Diamond and Carbon-based Materials Research
- Human Pose and Action Recognition
- Quantum Dots Synthesis And Properties
- Topic Modeling
- Advanced Fiber Laser Technologies
- S100 Proteins and Annexins
- Quantum Mechanics and Applications
- Anomaly Detection Techniques and Applications
- Electronic and Structural Properties of Oxides
- Software System Performance and Reliability
- Chronic Kidney Disease and Diabetes
- Photonic Crystal and Fiber Optics
- Advanced Software Engineering Methodologies
- GABA and Rice Research
- Photosynthetic Processes and Mechanisms
- Sports Analytics and Performance
- Advanced Electron Microscopy Techniques and Applications
- Advanced Fiber Optic Sensors
Guiyang Medical University
2024
Sun Yat-sen University
2024
Affiliated Hospital of Guizhou Medical University
2024
Beijing Jiaotong University
2018
Yanbian University
2017
The rapid development of deep learning techniques, improved computational power, and the availability vast training data have led to significant advancements in pre-trained models large language (LLMs). Pre-trained based on architectures such as BERT Transformer, well LLMs like ChatGPT, demonstrated remarkable capabilities found applications Software engineering. engineering tasks can be divided into many categories, among which generative are most concern by researchers, where possess...
With the fast development of large software projects, automatic code summarization techniques, which summarize main functionalities a piece using natural languages as comments, play essential roles in helping developers understand and maintain projects. Many research efforts have been devoted to building approaches. Typical approaches are based on deep learning models. They transform task into sequence-to-sequence task, inputs source outputs summarizations languages. All models impose...
Current diagnostic methods for diabetic nephropathy (DN) lack precision, especially in early stages and monitoring progression. This study aims to find potential biomarkers DN progression evaluate their accuracy. Using serum samples from healthy controls (NC), patients (DM), early-medium stage (DN-EM), late-stage (DN-L), researchers employed quantitative proteomics Mfuzz clustering analysis revealed 15 proteins showing increased expression during progression, hinting at biomarker potential....
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An experimentally feasible scheme is proposed for rapidly generating two-atom three-dimensional (3D) entanglement with one step. As technique of shortcuts to adiabaticity, transitionless quantum driving applied speed up the adiabatic generation 3D entanglement. Apart from rapid rate, has much higher experimental feasibility than recent research (Quant. Inf. Process. DOI: 10.1007/s11128-016-1453-2, 2016). Besides, numerical simulations indicate strong robustness against parameter deviations...
The SoccerNet 2023 challenges were the third annual video understanding organized by team. For this edition, composed of seven vision-based tasks split into three main themes. first theme, broadcast understanding, is high-level related to describing events occurring in broadcasts: (1) action spotting, focusing on retrieving all timestamps global actions soccer, (2) ball soccer change state, and (3) dense captioning, with natural language anchored timestamps. second field relates single task...