Yuhang Zhang

ORCID: 0000-0002-4101-6207
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About
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Research Areas
  • Analog and Mixed-Signal Circuit Design
  • Neuroscience and Neural Engineering
  • Ferroelectric and Negative Capacitance Devices
  • Semiconductor materials and devices
  • Advanced Memory and Neural Computing
  • Advancements in Photolithography Techniques
  • Low-power high-performance VLSI design
  • Advanced DC-DC Converters
  • VLSI and Analog Circuit Testing
  • Biosensors and Analytical Detection
  • Industrial Vision Systems and Defect Detection
  • Advanced Surface Polishing Techniques
  • Advancements in Semiconductor Devices and Circuit Design
  • Smart Grid Security and Resilience
  • Environmental remediation with nanomaterials
  • Lignin and Wood Chemistry
  • Graphite, nuclear technology, radiation studies
  • Integrated Circuits and Semiconductor Failure Analysis
  • VLSI and FPGA Design Techniques
  • Advanced Neural Network Applications
  • Respiratory and Cough-Related Research
  • Power Systems Fault Detection
  • Advanced Sensor and Energy Harvesting Materials
  • Phonocardiography and Auscultation Techniques
  • Silicon Carbide Semiconductor Technologies

Shanghai Jiao Tong University
2013-2025

Henan Agricultural University
2020-2025

Xi’an University of Posts and Telecommunications
2023-2025

Southeast University
2019-2024

East China Normal University
2023-2024

Hunan University
2024

Tsinghua University
2021-2024

Yanshan University
2024

Sichuan University
2024

West China Hospital of Sichuan University
2024

It has proved that the auscultation of respiratory sound advantage in early diagnosis. Various methods have been raised to perform automatic analysis reduce subjective diagnosis and physicians' workload. However, these highly rely on quality database. In this work, we developed first open-access paediatric database, SPRSound. The database consists 2,683 records 9,089 events from 292 participants. Accurate label is important achieve a good prediction for adventitious classification problem. A...

10.1109/tbcas.2022.3204910 article EN IEEE Transactions on Biomedical Circuits and Systems 2022-09-07

Heavy metal complexes in industrial wastewater are challenging to be removed by conventional methods arising from their stable chelating structure. In this study, zero-valent iron (ZVI) was ball-milled with tiny formic acid (FA), and the as-prepared sample (FA-ZVIbm) attempted eliminate a model heavy complex of Cu(II)-ethylenediaminetetraacetic (Cu(II)-EDTA). The addition FA ball-milling could dramatically enhance performance ZVI (ZVIbm) towards Cu(II)-EDTA removal increase rate constant 80...

10.2139/ssrn.4576481 preprint EN 2023-01-01

The conventional mapping method between RRAM array and convolutional weights faces two key challenges: 1) nonoptimal energy efficiency 2) RRAM's temporal variation. To address these challenges, we propose shift duplicate kernel (SDK) weight architecture. Each is duplicated multiple times rearranged on different bitlines in a shifted manner, enabling higher intralayer computational parallelism, reducing the number of input data loading. Hence, this architecture reduces latency consumption...

10.1109/tcad.2020.2998728 article EN IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2020-06-01

The separation of non-magnetic non-ferrous metals such as copper and aluminum from scrapped automobiles is a critical area research due to the increasing number end-of-life vehicles. Traditional eddy current methods have limitations, particularly in handling large-sized broken parts. This paper proposes novel magnetic roller model featuring circumferential–axial periodic arrangement permanent magnets. study explores external field distribution this new design by constructing an equivalent...

10.3390/pr12102168 article EN Processes 2024-10-04

10.1109/jstars.2025.3565383 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025-01-01

Adventitious cardiopulmonary (lung and heart) sound detection classification through a digital stethoscope plays vital role in early diagnosis telehealth services. However, automatically detecting the adventitious sounds is challenging since they are easily susceptible to each other's influence noises. In this paper, for first time, we simultaneously classify lung heart using our proposed LungHeart-AtMe model based on mixed dataset of ICBHI 2017 PhysioNet 2016 dataset. Based characteristics...

10.1109/aicas57966.2023.10168624 article EN 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2023-06-11

Road pavement could be damaged due to various reasons, causing damages such as cracks and pits. These cause potential dangers in traffic safety. It is necessary for road maintenance departments find time before maintenance. At present, of some high-level roads are equipped with specialized detection vehicles laser scanning detect damages. kinds devices can get good performance, but the economic cost very high. In this paper, we use a damage image dataset train an object model based on deep...

10.3934/mbe.2019402 article EN cc-by Mathematical Biosciences & Engineering 2019-01-01

With the development of microelectronic technology, reliability devices in a complex electromagnetic environment has become one greatest challenges semiconductor industry. On this basis, phenomenon nonlinear transient response is observed high-power microwave (HPM)-radiating AlGaAs/InGaAs pseudomorphic high-electron-mobility transistors (pHEMTs). This abnormal induced before thermal failure, causing disturbances to circuit. To understand phenomenon, detailed mechanism analysis proposed. The...

10.1109/jeds.2020.3008816 article EN cc-by IEEE Journal of the Electron Devices Society 2020-01-01
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