Jie Wang

ORCID: 0009-0004-0506-0325
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About
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Research Areas
  • Hydrology and Sediment Transport Processes
  • Advanced Malware Detection Techniques
  • Viral-associated cancers and disorders
  • Advanced Image Processing Techniques
  • Hydraulic flow and structures
  • Lymphoma Diagnosis and Treatment
  • Big Data Technologies and Applications
  • Advanced X-ray and CT Imaging
  • Peptidase Inhibition and Analysis
  • Advanced Vision and Imaging
  • Network Security and Intrusion Detection
  • Air Quality Monitoring and Forecasting
  • Digital and Cyber Forensics
  • Medical Imaging Techniques and Applications

West China Hospital of Sichuan University
2024

Sichuan University
2023-2024

Hohai University
2023

10.1016/j.flowmeasinst.2023.102398 article EN Flow Measurement and Instrumentation 2023-06-16

Computed Tomography (CT) is an advanced imaging technology. To obtain high-resolution (HR) CT images from low-resolution (LR) sinograms, we present a deep-learning (DL) based super-resolution (SR) method.The proposed method combines SR model in the sinogram domain and iterative framework into algorithm. We unrolled DL network (SRECT-Net) for adaptive estimation of inherent blurring effects causing by insufficient sampling LR X-Ray detector. For systems, if scanning protocol fixed, system...

10.1109/icassp48485.2024.10446113 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024-03-18

Background Chidamide is subtype-selective histone deacetylase (HDAC) inhibitor that showed promising result in clinical trials to improve prognosis of angioimmunoblastic T-cell lymphoma (AITL) patients. However, real world settings, contradictory reports existed as whether chidamide overall survival (OS). Therefore, we aimed develop an interpretable machine learning (Machine learning)–based model predict the 2-year AITL patients based on usage and baseline features. Methods A total 183 with...

10.3389/fphar.2024.1435284 article EN cc-by Frontiers in Pharmacology 2024-08-28

Advanced persistent threat (APT) attacks use sophisticated attack techniques and covert command control (C&C) channels to conduct long-term sustained cyber on specific targets as unobtrusively possible. Over the past ten years, APT have become increasingly frequent, gradually taking a highly organized, nationalized, militarized nature. Because malware is covert, has long latency period, presents characteristics such diversification, high frequency, sophistication. In face of existing...

10.1145/3594315.3594374 article EN 2023-03-17
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