A5104667219- Algorithms and Data Compression
- Advanced Computational Techniques and Applications
- Genomics and Phylogenetic Studies
- Advanced Data Storage Technologies
- Corporate Finance and Governance
- Crystallography and Radiation Phenomena
- Advanced X-ray Imaging Techniques
- Gene expression and cancer classification
- Advanced Data Compression Techniques
- Remote-Sensing Image Classification
- Currency Recognition and Detection
- Evaluation Methods in Various Fields
- Translation Studies and Practices
- Civil and Geotechnical Engineering Research
- Consumer Market Behavior and Pricing
- Image Processing and 3D Reconstruction
- Regional Economic and Spatial Analysis
- Corruption and Economic Development
- Chromosomal and Genetic Variations
- DNA and Biological Computing
- Magnetic properties of thin films
- Caching and Content Delivery
- Mobile and Web Applications
- Supply Chain and Inventory Management
- Genomic variations and chromosomal abnormalities
Nanyang Technological University
2025
Nankai University
2023-2025
Baidu (China)
2023-2025
Nanjing University of Posts and Telecommunications
2013
Hunan University of Technology
2012
Dalian Institute of Chemical Physics
2012
Chinese Academy of Sciences
2012
Dalian University of Technology
2011
Jiangsu Ocean University
2009
East China Jiaotong University
2007
Learning-based compression shows competitive ratios for genomics data. It often includes three types of compressors: static, adaptive and semi-adaptive. However, these existing compressors suffer from inferior or throughput, also faces model cold-start problems. To address issues, we propose DeepGeCo, a novel data lossless framework with (s,k)-mer encoding deep neural networks, involving modes (MINI PLUS adaptive, ULTRA semi-adaptive) flexible requirements throughput. In (1) develop BiGRU...
The quality scores data (QSD) account for 70% in compressed FastQ files obtained from the short and long reads sequencing technologies. Designing effective compressors QSD that counterbalance compression ratio, time cost, memory consumption is essential scenarios such as large-scale genomics sharing long-term backup. This study presents a novel parallel lossless QSD-dedicated algorithm named PQSDC, which fulfills above requirements well. PQSDC based on two core components:...
The advancement of long reads sequencing technologies has led to a significant increase in biological big data. Although several reference-free compressors are available for saving data storage space, choosing the suitable one is challenging due shortage thorough and systematic evaluations their lossless compression effectiveness, both dedicated general-purpose. In this study, we performed benchmark examinations on 30 compressors, including 11 specialized 19 general-purpose ones, using 31...
Genomic sequencing reads compressors are essential for balancing high-throughput short generation speed, large-scale genomic data sharing, and infrastructure storage expenditure. However, most existing rarely utilize big-memory systems duplicative information between diverse files to achieve a higher compression ratio conserving space.We employ as the optimization objective propose optimizer, named PMFFRC, through novelty memory modeling redundant clustering technologies. By cascading in 982...
Owing to advancements in deep learning technology, Vision Transformers (ViTs) have demonstrated impressive performance various computer vision tasks. Nonetheless, ViTs still face some challenges, such as high computational complexity and the absence of desirable inductive biases. To alleviate these issues, {the potential advantages combining eagle with are explored. We summarize a Bi-Fovea Visual Interaction (BFVI) structure inspired by unique physiological visual characteristics eyes. A...