A5086456036- Cancer-related gene regulation
- Advanced Data Storage Technologies
- Grey System Theory Applications
- Advanced Neural Network Applications
- Advanced Memory and Neural Computing
- Environmental Impact and Sustainability
- RNA modifications and cancer
- Neural Networks and Applications
- Epigenetics and DNA Methylation
- Algorithms and Data Compression
- IoT and Edge/Fog Computing
- Parallel Computing and Optimization Techniques
University of California, Riverside
2025
Renmin University of China
2023
Nanchang University
2022
Jiangxi Provincial Children's Hospital
2022
With the development of architectures and growth AIoT application requirements, data processing on edge has become popular. Neural network inference is widely employed for analytics devices. This paper extensively explores neural integrated devices proposes EdgeNN, first solution CPU-GPU EdgeNN three novel characteristics. First, can adaptively utilize unified physical memory conduct zero-copy optimization. Second, involves a inference-targeted inter- intra-kernel hybrid execution approach,...
Lossless data compression is an effective way to handle the huge transmission and storage overhead of massive text data. Its utility even more significant today when volumes are skyrocketing. The concept operating on compressed infuses new blood into efficient management by enabling mainly access-oriented processing tasks be done directly without decompression. Facing limitations existing schemes such as limited types operations supported, low efficiency, high space occupation, we address...
Grey system theory regards uncertain in which information is known partly and unknown as research object, extracts useful from part known, thereby revealing the potential variation rule of system. In order to applicability data-driven modelling method melting peak temperature (Tm) fitting prediction polypropylene (PP) during ultraviolet radiation aging, Tm homo-polypropylene after different exposure time investigated by differential scanning calorimeter was fitted predicted grey GM(1, 1)...
Objective: To summarize and analyze the clinical characteristics gene mutations of 6 patients with Wiedemann-Steiner syndrome (WDSTS). Methods: review data, including general conditions, manifestations, growth hormone, cranial or pituitary gland magnetic resonance imaging (MRI),gene results other cases WDSTS admitted to Department Endocrinology, Genetics Metabolism Jiangxi Provincial Children's Hospital Child Care Pingxiang Maternity from April 2017 February 2021 were recruited. Results: Of...