Yu Chen (陈宇)
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R&D Engineer, Master Degree, Open SourceKey Laboratory of Computing Power Network and Information Security, Ministry of Education,Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences)
Email: chenyu1998424 [at] gmail [dot] com / chairc1998 [at] 163 [dot] com Location: Jinan, Shandong province, China
Github: chairc |
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Project Experience
2023
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2023.06 - Present IDDM Distributed Defect Generation Model Development Language: Python
Project Description: This system is an open-source distributed deep learning image generation model (AIGC).
Technology Stack: PyTorch + Distributed
Project Content: The IDDM distributed defect generation model provides non-repetitive industrial defect images based on DDPM and DDIM algorithms. The model uses DDP distributed training technology to communicate across 6 RTX 6000 GPUs, enabling large-memory multi-GPU training. It has garnered 40+ stars on GitHub.
Project Link: https://github.com/chairc/Industrial-Defect-Diffusion-Model -
2023.06 - Present Wood Defect Online Detection Platform Development Language: Java, Python
Project Description: Major Science and Technology Innovation Project of Shandong Province.
Technology Stack: SpringBoot + MySQL + MyBatis + VUE + PyTorch + TensorRT + Linux + Tomcat
Project Content: Completed the front-end and back-end systems of the wood defect online detection platform based on the SpringBoot framework and related technologies. The deep learning detection system is implemented using the PyTorch framework and the YOLOX algorithm. Communication between SpringBoot and Python is achieved using Socket ports. The project includes the development of a dataset generation model based on the diffusion model, as well as one-stage deep learning detection. The accuracy of wood detection is over 90%, and the detection speed can reach 100 frames per second.
Project Link: https://github.com/chairc/NRSD-MN-relabel -
2023.03 - 2022.06 GomROS Community Platform Development Language: Java
Project Description: The system is a B/S architecture developer community for users of the GomROS operating system, providing a community platform for communication, learning, and collaboration.
Technology Stack: SpringBoot + MySQL + MyBatis + Shiro + VUE + Linux + Tomcat
Project Content: Developed and maintained the GomROS community platform based on the SpringBoot framework and related technologies. Designed multi-user and multi-permission with the Shiro security framework to ensure that users can access relevant transactions without overstepping their authority. Implemented an online chat room function using WebSocket. Worked on the deployment of the Tomcat server on Linux. The platform meets basic communication, learning, and collaboration requirements.
Project Link: http://124.70.86.111:8096/bbs/index/index
2022
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2022.12 - 2023.03 GomROS Cloud Platform Development Language: Java
Project Description: The system is a B/S architecture cloud platform management system, providing status monitoring, information collection, and analysis services for robot device management.
Technology Stack: SpringBoot + MySQL + MyBatis + Shiro + VUE + Linux + Tomcat
Project Content: Developed and maintained the data collection and analysis of the GomROS cloud platform based on the SpringBoot framework and related technologies. Achieved rapid loading of AGV maps through buffer pool technology. Completed custom automated database and table creation with splicing SQL. Implemented online monitoring and data collection for robot devices, with an average daily data volume of 1000 entries. Achieved message sending and receiving functionality between the front and back ends using WebSocket. Worked on the deployment of the Tomcat server on Linux.
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2022.07 - 2022.11 Sterilization Robot Target Detection Development Language: C++, Python
Project Description: Target detection module for sterilization robots, using computer vision for precise disinfection of door handles on embedded devices.
Technology Stack: PyTorch + TensorRT
Project Content: Developed the target detection module for sterilization robots using the YOLOv5 algorithm based on PyTorch code. This included functions such as detection data collection, labeling, training, etc. Deployed the engine model on embedded devices TX2 using C++ language and TensorRT. Achieved a detection rate of up to 60 frames per second in real-time detection, with an accuracy exceeding 97%.
Research Interests
I'm currently working on computer vision and researching industrial defect detection.
- Object detection for industrial defect
- Artificial intelligence generated content
If you are interested in my research, project in github and any questions, please send me an email!
Working Experience
- 2024.7 - Future: Shandong Port Land-sea International Logistics Group Co., Ltd.
- 2022.01 - 2023.06: Shandong Alexander Intelligent Technology Co., Ltd. (practice)
Education
- 2021.09 - 2024.07: Faculty of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences) (Advisor: Huijuan Hao)
- 2022.01 - 2024.07: School of Mechanical Engineering, Shandong University (Advisor: Jun Zhou, joint program)
- 2016.09 - 2021.07: School of Information and Electrical Engineering, Ludong University.
Awards
2023
- 2023 "Qilu University of Technology (Shandong Academy of Sciences) First-class Scholarship for Postgraduate Studies"
- 2023 "Academic Star of Qilu University of Technology (Shandong Academy of Sciences)" (only 10) [pdf]
- 2023 The 25th China Robotics and Artificial Intelligence Competition National, Second Prize in China [pdf]
- 2023 The 25th China Robotics and Artificial Intelligence Competition (Shandong Division) and the 3rd Shandong Robotics and Artificial Intelligence Competition of "Jinan Supercomputer Cup", Second Prize in Shandong Province [pdf]
- 2023 The 21st Shandong Provincial College Student Software Design Competition, Second Prize in Shandong Province [pdf]
- 2023 Shandong Graduate Student "AI+" Innovation Practice Competition, Excellence Award in Shandong Province [pdf]
2022
- 2022 The 20st Shandong Provincial College Student Software Design Competition, Third Prize in Shandong Province [pdf]
2021
- 2021 "Qilu University of Technology (Shandong Academy of Sciences) Third-class Scholarship for Postgraduate Studies" [pdf]
- 2021 Outstanding Graduates of Ludong University [pdf]
Patents
- 基于改进YOLOX模型的工业瑕疵检测方法, CN202211358411.9 (实审)
- 基于二维码的固定视点手眼标定方法及系统, CN202211317859.6 (实审)
- 一种基于混合深度自编码的轴承故障新类识别与诊断方法, CN202310572685.6 (实审)
- 基于深度卷积生成对抗网络的轴承异常检测和故障诊断方法, CN202310489061.8 (实审)
- 基于掩膜的图像目标候选点筛选方法及系统, CN202211397613.4 (实审)
- DM二维码识别方法、AGV定位方法、系统及AGV, CN202211358411.9 (授权)
- 基于复合自动编码器的工业控制系统异常检测方法及系统, CN202310919286.2 (授权)
- 用于防疫机器人的门把手消杀控制方法及系统, CN202211358411.9 (实审)
Publications
2023
- AMFF-YOLOX: Towards an Attention Mechanism and Multiple Feature Fusion Based on YOLOX for
Industrial Defect Detection
Chen Y, Tang Y, Hao H, Zhou J, et al.
Electronics, 2023, 12(7): 1662. [website] [pdf] - Novelty Detection and Fault Diagnosis Method for Bearing Faults Based on the Hybrid Deep
Autoencoder Network
Zhao Y, Hao H, Chen Y, et al.
Electronics, 2023, 12(13): 2826. [website] [pdf] - Incremental Single-Class Fault Detection and Diagnosis Method for Rolling Bearings Based on
OS-ELM
Hao H, Zhao Y, Chen Y, et al.
Electronics, 2023, 12(19): 4099. [website] [pdf]
2022
- Intelligent Detection Method of Gearbox Based on Adaptive Hierarchical Clustering and
Subset
Yuan H, Tang Y, Hao H, Zhao Y, Zhang Y, Chen Y.
Computational Intelligence and Neuroscience, 2022, 2022. [website] - Intelligent monitoring and control system and control method of intelligent water
meter
Yuan H, Hao H, Zhao Y, Zhang Y, Chen Y.
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2022: 226-229. [website] - Method for intelligently identifying underground safety accidents based on fully connected
neural network
Yuan H, Hao H, Zhao Y, Zhang Y, Chen Y.
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2022, 6: 367-370. [website]
Personal
Football, coding, fitness, travel and so on.
Book
- 大数据技术及其应用研究 (writing 1 chapter), author Jun Zhou