A5051349066- Cloud Computing and Resource Management
- Advanced Data Storage Technologies
- Adversarial Robustness in Machine Learning
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- Finite Group Theory Research
- IoT and Edge/Fog Computing
- Optimization and Variational Analysis
- Iterative Learning Control Systems
- Advanced Neural Network Applications
- Advanced Image Fusion Techniques
- Peer-to-Peer Network Technologies
- Anomaly Detection Techniques and Applications
- Distributed systems and fault tolerance
- graph theory and CDMA systems
- Remote-Sensing Image Classification
- Advanced Optimization Algorithms Research
- Piezoelectric Actuators and Control
- Advanced machining processes and optimization
- Advanced Image Processing Techniques
- Data Management and Algorithms
- Digital Media Forensic Detection
- Infrared Target Detection Methodologies
- Fixed Point Theorems Analysis
- Generative Adversarial Networks and Image Synthesis
Yunnan University
2016-2025
Zhejiang University
2002-2025
Hebei University
2022-2025
DigitalSpace (United States)
2025
Software (Spain)
2025
China Mobile (China)
2012-2024
Southwest University
2015-2024
Ministry of Agriculture and Rural Affairs
2023-2024
Beijing Normal University
2003-2024
Wuhan University
2024
Predicting the association between microRNAs (miRNAs) and diseases plays an import role in identifying human disease-related miRNAs. As identification of miRNA-disease associations via biological experiments is time-consuming expensive, computational methods are currently used as effective complements to determine potential disease miRNA.We present a novel method neural inductive matrix completion with graph convolutional network (NIMCGCN) for predicting association. NIMCGCN first uses...
Abstract We present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection applications on Unmanned Aerial Vehicles (UAVs). The comprises 2,898 images extracted from 43,470 frames in hundreds of videos captured by UAVs various scenarios, such as schools, parking lots, roads, and playgrounds. Moreover, provides essential flight data each image, including altitude, camera perspective, date, daylight intensity. For we have manually annotated instances with bounding...
Significance Why is polyploidization rarer in animals than plants? This question remains unanswered due to the absence of a suitable system for studying instantaneous and crucial changes that immediately follow hybridization. RNA-seq analyses discover extensive chimeric genes immediate mutations orthologs both diploid tetraploid offspring goldfish (♀) × common carp (♂) hybrids. Overall, show paternal-biased expression, yet tetraploids maternal-biased expression. Some differentially expressed...
Container technique is gaining increasing attention in recent years and has become an alternative to traditional virtual machines. Some of the primary motivations for enterprise adopt container technology include its conveniency encapsulate deploy applications, lightweight operations, as well efficiency flexibility resources sharing. However, there still lacks in-depth systematic comparison study on how big data such Spark jobs, perform between a environment machine environment. In this...
VennPainter is a program for depicting unique and shared sets of genes lists generating Venn diagrams, by using the Qt C++ framework. The software produces Classic Venn, Edwards' Nested diagrams allows eight in graph mode 31 data processing only. In comparison, previous programs produce allow maximum six sets. incorporates user-friendly features works Windows, Linux Mac OS. Its graphical interface does not require user to have programing skills. Users can modify diagram content up datasets...
In Internet of Vehicles (IoV), the vehicle <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ad hoc</i> network (VANET) provides location-based service (LBS) when vehicles communicate with dynamic environment. As an integration satellite systems and terrestrial communications, space–air–ground integrated (SAGIN) a reliable efficient way for LBS. But privacy protection in SAGIN cannot meet LBS security requirements well, so we present...
NoSQL cloud data stores provide scalability and high availability properties for web applications, but at the same time they sacrifice consistency. However, many applications cannot afford any inconsistency. CloudTPS is a scalable transaction manager which guarantees full ACID multi-item transactions issued by even in presence of server failures network partitions. We implement this approach on top two main families layers: Bigtable SimpleDB. Performance evaluation HBase (an open-source...
The silkworm, Bombyx mori L. (Lepidoptera: Bombycidae), an oligophagous insect that mainly feeds on mulberry leaves, is susceptible to entomopathogen infection when reared with tricuspid cudrania leaves. A total of 56 dominant bacterial strains, classified into 12 phylotypes based bacteriological properties and analysis 16S rRNA genes, were isolated from the intestine fourth fifth instar silkworm larvae. Ten seven exist in larvae leaves respectively. Four them are common two treatment...
Remote sensing data have become increasingly vital in target detection, disaster monitoring, and military surveillance. Abundant pan-sharpening super-resolution (SR) methods based on deep learning been proposed achieved remarkable performance. However, requires paired panchromatic (PAN) multispectral (MS) images, SR cannot increase the spectral resolution of PAN. Thus, we introduce a computational imaging-based method to recover or produce incomplete single PAN MS. This work also explores...
Because thermal infrared (TIR) images are not affected by light and foggy environments, which widely used in various night traffic scenarios. Especially, also play an important role autonomous vehicles. However, low contrast lack of chromaticity have always been their problems. Image colorization is a vital technique to improve the quality TIR images, beneficial human interpretation downstream tasks. Despite image methods rapidly improved, detail blurriness color distortion colorized remain...
Computational imaging provides comprehensive and reliable information about human tissue for medical diagnosis treatment, with image fusion as one of the most important technologies in field. Empirical mode decomposition (EMD), a promising model processing, has been used some methods. However, varying number decomposed layers leads to problems using EMD fusion. In this article, we propose method images incorporating L2 -norm-based features, match/salience/fuzzy-weighted measure, 2-D...
Medical image fusion combines the multiple features of human tissue from different source images, which will be conducive to clinical diagnosis. Because visual perception and mechanisms medical imaging, abundant fuzzy exist in with remarkable influence. To address this issue, we introduce similarity measure set theory into abstract these features. In study, present a new intuitionistic represent lightweight technique on basis measure. First, is proposed according geometric modeling verified...
Medical image fusion can provide a synthetical presentation of human tissue by fusing the complementary features different source images, such as computerized tomography (CT) and magnetic resonance imaging (MRI), which contributes to clinical diagnosis treatment. How measure key medical is most important issue in fusion, intuitionistic fuzzy set (IFS) classical computation theory that be employed handle task feature extraction. In this work, we propose method based on new entropy IFSs joint...
Existing black-box attacks have demonstrated promising potential in creating adversarial examples (AE) to deceive deep learning models. Most of these need handle a vast optimization space and require large number queries, hence exhibiting limited practical impacts real-world scenarios. In this paper, we propose novel attack strategy, Conditional Diffusion Model Attack (CDMA), improve the query efficiency generating AEs under query-limited situations. The key insight CDMA is formulate task AE...
With the advent of next-generation sequencing, traditional bioinformatics tools are challenged by massive raw metagenomic datasets. One bottlenecks studies is lack large-scale and cloud computing suitable data analysis tools. In this paper, we proposed a Spark based tool, called MetaSpark, to recruit reads reference genomes. MetaSpark benefits from distributed set (RDD) Spark, which makes it able cache in memory across cluster nodes scale well with Compared previous metagenomics recruitment...
Urban hotspots refer to regions where flourishing shopping centers are located, the travel volume is very large, and there high traffic. The formation of strongly correlated with many features, i.e., time, space, distribution points interest; however, most studies have used qualitative analyses describe relevance these a lack quantitative analyses. Therefore, we propose concept model attractiveness index hotspot that quantify spatio-temporal determine degree residents. In addition, novel...