A5100334966- Virtual Reality Applications and Impacts
- Cancer-related molecular mechanisms research
- Color perception and design
- Low-power high-performance VLSI design
- RNA modifications and cancer
- Mechanical stress and fatigue analysis
- Groundwater and Isotope Geochemistry
- Water Quality and Pollution Assessment
- Advanced Memory and Neural Computing
- Distributed systems and fault tolerance
- Extenics and Innovation Methods
- Analytical chemistry methods development
- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
- Advanced Computational Techniques and Applications
- Caching and Content Delivery
- Contact Mechanics and Variational Inequalities
- Real-Time Systems Scheduling
- Service-Oriented Architecture and Web Services
- Adhesion, Friction, and Surface Interactions
- Interconnection Networks and Systems
- IoT and Edge/Fog Computing
- Image and Video Quality Assessment
- Cholangiocarcinoma and Gallbladder Cancer Studies
First Hospital of Jilin University
2024
Jilin University
2016-2024
China Academy of Space Technology
2023
Guangdong Ocean University
2017
Harbin Institute of Technology
1995
Abstract Previous studies on the molecular classification of cholangiocarcinoma (CCA) focused certain anatomical sites, and disregarded tissue contamination biases in transcriptomic profiles. We aim to provide universal scheme prognostic biomarker CCAs across locations. Comprehensive bioinformatics analysis is performed data from 438 CCA cases various After excluding tumors showing normal expression patterns, we identify two subtypes subtypes, explore molecular, clinical, microenvironmental...
Researches in the Computer Aided Innovation System based on Extenics are very few, and we have developed Web service-based aided innovation system according to process, meanwhile, introduce specific detail of hierarchical structure as well design deployment services supporting this system. At last, give a case show how guide innovative personnel deduce their thoughts contradiction problem.
For the current cloud computing calculation method of virtual machine infrastructure iaas layer, is long in calculation, high cost, low computational efficiency, and poor resource utilization, directly affecting effective implementation network resources on computer memory, CPU, cache, etc. This paper proposes an algorithm for maximizing utilization platforms, which greatly improves implements user tasks, dynamically allocates on-demand machines. studies how to maximize resources, highest...
Previous graph analytics accelerators have achieved great improvement on throughput by alleviating irregular off-chip memory accesses. However, on-chip side datapath conflicts and design centralization become the critical issues hindering further improvement. In this paper, a general solution, Multiple-stage Decentralized Propagation network (MDP-network), is proposed to address these issues, inspired key idea of trading latency for throughput. Besides, novel High Graph accelerator, HiGraph,...