A5100705518- Software System Performance and Reliability
- Spinal Fractures and Fixation Techniques
- Network Security and Intrusion Detection
- Infectious Diseases and Tuberculosis
- Cloud Computing and Resource Management
- Scoliosis diagnosis and treatment
- Anomaly Detection Techniques and Applications
- Spine and Intervertebral Disc Pathology
- Orthopedic Infections and Treatments
- Recommender Systems and Techniques
- Software Engineering Research
- Caching and Content Delivery
- Legume Nitrogen Fixing Symbiosis
- Green IT and Sustainability
- Soybean genetics and cultivation
- Medical Imaging and Analysis
- Image and Video Quality Assessment
- Web Data Mining and Analysis
- Cervical and Thoracic Myelopathy
- Software Testing and Debugging Techniques
- Corporate Finance and Governance
- Data Quality and Management
- Data Stream Mining Techniques
- Auditing, Earnings Management, Governance
- Nuclear physics research studies
Guizhou University
2025
Chongqing University
2025
Chinese University of Hong Kong
2019-2024
Chongqing Jiaotong University
2024
Southeast University
2023-2024
Jiangsu Academy of Agricultural Sciences
2022-2024
South China Agricultural University
2024
PLA Information Engineering University
2024
Henan University
2024
Shanghai Jiao Tong University
2024
Logs are imperative in the development and maintenance process of many software systems. They record detailed runtime information that allows developers support engineers to monitor their systems dissect anomalous behaviors errors. The increasing scale complexity modern systems, however, make volume logs explodes. In cases, traditional way manual log inspection becomes impractical. Many recent studies, as well industrial tools, resort powerful text search machine learning-based analytics...
Click-through rate (CTR) prediction is a critical task for many applications, as its accuracy has direct impact on user experience and platform revenue. In recent years, CTR been widely studied in both academia industry, resulting wide variety of models. Unfortunately, there still lack standardized benchmarks uniform evaluation protocols research. This leads to non-reproducible or even inconsistent experimental results among existing studies, which largely limit the practical value potential...
This paper reviews the third biennial challenge on spectral reconstruction from RGB images, i.e., recovery of whole-scene hyperspectral (HS) information a 3-channel image. presents "ARAD_1K" data set: new, larger-than-ever natural image set containing 1,000 images. Challenge participants were required to recover hyper-spectral synthetically generated JPEG-compressed images simulating capture by known calibrated camera, operating under partially parameters, in setting which includes...
The past two decades have witnessed the rapid development of personalized recommendation techniques. Despite significant progress made in both research and practice recommender systems, to date, there is a lack widely-recognized benchmarking standard this field. Many existing studies perform model evaluations comparisons an ad-hoc manner, for example, by employing their own private data splits or using different experimental setting. However, such conventions not only increase difficulty...
Logs have been widely adopted in software system development and maintenance because of the rich runtime information they record. In recent years, increase size complexity leads to rapid growth volume logs. To handle these large volumes logs efficiently effectively, a line research focuses on developing intelligent automated log analysis techniques. However, only few techniques reached successful deployments industry due lack public datasets open benchmarking upon them. fill this significant...
Log parsing transforms log messages into structured formats, serving as the prerequisite step for various analysis tasks. Although a variety of approaches have been proposed, their performance on complicated data remains compromised due to use human-crafted rules or learning-based models with limited training data. The recent emergence powerful large language (LLMs) demonstrates vast pre-trained knowledge related code and logging, making it promising apply LLMs parsing. However, lack...
The β-decay half-lives of 94 neutron-rich nuclei ^{144-151}Cs, ^{146-154}Ba, ^{148-156}La, ^{150-158}Ce, ^{153-160}Pr, ^{156-162}Nd, ^{159-163}Pm, ^{160-166}Sm, ^{161-168}Eu, ^{165-170}Gd, ^{166-172}Tb, ^{169-173}Dy, ^{172-175}Ho, and two isomeric states ^{174m}Er, ^{172m}Dy were measured at the Radioactive Isotope Beam Factory, providing a new experimental basis to test theoretical models. Strikingly large drops are observed neutron-number N=97 for _{58}Ce, _{59}Pr, _{60}Nd, _{62}Sm, N=105...
System logs record detailed runtime information of software systems and are used as the main data source for many tasks around engineering. As modern evolving into large scale complex structures, have become one type fast-growing big in industry. In particular, such often need to be stored a long time practice (e.g., year), order analyze recurrent problems or track security issues. However, archiving consumes amount storage space computing resources, which turn incurs high operational cost....
Logs have been an imperative resource to ensure the reliability and continuity of many software systems, especially large-scale distributed systems. They faithfully record runtime information facilitate system troubleshooting behavior understanding. Due large scale complexity modern volume logs has reached unprecedented level. Consequently, for log-based anomaly detection, conventional manual inspection methods or even traditional machine learning-based become impractical, which serve as a...
Recently, deep learning-based models have been widely studied for click-through rate (CTR) prediction and lead to improved accuracy in many industrial applications. However, current research focuses primarily on building complex network architectures better capture sophisticated feature interactions dynamic user behaviors. The increased model complexity may slow down online inference hinder its adoption real-time Instead, our work targets at a new training strategy based knowledge...
To ensure the performance of online service systems, their status is closely monitored with various software and system metrics. Performance anomalies represent degradation issues (e.g., slow response) systems. When performing anomaly detection over metrics, existing methods often lack merit interpretability, which vital for engineers analysts to take remediation actions. Moreover, they are unable effectively accommodate ever-changing services in an fashion. address these limitations, this...
Abstract Single molecule localization microscopy based on photoactivation is a powerful tool for investigating the ultrastructure of cells. We developed general strategy photoactivatable fluorophores, using 2,3‐dihydro‐1,4‐oxathiine group (SO) as tag to attach various skeletal structures, including coumarin, BODIPY, rhodamine, and cyanine. The conjugation SO resulted in significant loss fluorescence due photoinduced electron transfer (PeT). Under irradiation excitation light, singlet oxygen...
We use a quasi-natural experiment wherein the Shanghai Stock Exchange requires listed companies in certain industries to disclose operational information and staggered difference-in-differences model examine impact of mandatory disclosure on corporate innovation. find that subject show significantly increased This effect is pronounced for classified as non-state-owned enterprises, facing severe financing constraints high degree shareholder tunneling behavior competitive high-tech industries....
The reliability of the bidirectional converter plays an important role in energy storage system. However, power devices that make up are prone to failure under complex operating conditions. Therefore, how extend service life this case becomes a tricky problem. Due typical intermittent, random, and fluctuating nature train regenerative braking energy, only relying on capacity allocation device is easily limited by actual Meanwhile, most management strategies tend focus two factors: economic...