Lei Zhang

ORCID: 0000-0003-0653-5893
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About
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Research Areas
  • Advanced Neural Network Applications
  • Control Systems in Engineering
  • Visual Attention and Saliency Detection
  • Magnetic Bearings and Levitation Dynamics
  • Advanced Numerical Analysis Techniques
  • Sensorless Control of Electric Motors
  • Business Process Modeling and Analysis
  • Industrial Technology and Control Systems
  • Advanced Surface Polishing Techniques
  • Advanced Measurement and Metrology Techniques
  • CCD and CMOS Imaging Sensors
  • Image Processing Techniques and Applications
  • Industrial Vision Systems and Defect Detection
  • Petri Nets in System Modeling
  • Service-Oriented Architecture and Web Services
  • Medical Image Segmentation Techniques
  • Hemiptera Insect Studies

Soochow University
2023

Tianjin Agricultural University
2011-2022

Yunnan University
2016

10.1109/icme57554.2024.10687602 article EN 2022 IEEE International Conference on Multimedia and Expo (ICME) 2024-07-15

The Segment Anything Model (SAM) has exhibited outstanding performance in various image segmentation tasks. Despite being trained with over a billion masks, SAM faces challenges mask prediction quality numerous scenarios, especially real-world contexts. In this paper, we introduce novel prompt-driven adapter into SAM, namely Prompt Adapter (PA-SAM), aiming to enhance the of original SAM. By exclusively training prompt adapter, PA-SAM extracts detailed information from images and optimizes...

10.48550/arxiv.2401.13051 preprint EN cc-by-nc-nd arXiv (Cornell University) 2024-01-01

In this paper, we delve into the realm of vision transformers for continual semantic segmentation, a problem that has not been sufficiently explored in previous literature. Empirical investigations on adaptation existing frameworks to vanilla ViT reveal incorporating visual adapters ViTs or fine-tuning with distillation terms is advantageous enhancing segmentation capability novel classes. These findings motivate us propose Continual Segmentation via Adapter-based ViT, namely ConSept. Within...

10.48550/arxiv.2402.16674 preprint EN arXiv (Cornell University) 2024-02-26

An improved rotor position observer based on sliding mode control was proposed to eliminate estimation error and harmonic ripples for PMSM sensorless control. A multi-proportional resonant filter designed instead of a low-pass out the specific harmonics back EMF. The can solve phase delay problem caused by filter, angle compensator, simplify system structure, effectively suppress chattering. Then, fractional normalized phase-locked loop adopted calculate speed position, further eliminating...

10.3390/machines10080633 article EN cc-by Machines 2022-07-30

Base on the Extended Object-Oriented Petri Net, and component evolution processes that has been proposed in our previous research, this paper studies issue of refinement. Three types refinement under framework EOOPN model, namely ABP refinement, ABT Token are along with their definitions features before after

10.1109/icalip.2016.7846640 article EN 2016-07-01
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