Licong Guan (管利聪)

Lecturer at China Jiliang University
Address: No.258, Xueyuan Street, Xiasha High Education Park, Hangzhou, Zhejiang, 310018, P.R.China

Email: lcguan941@bjtu.edu.cn


Biography

Licong Guan is currently a lecturer at the college of Mechanical and Electrical Engineering, China Jiliang University, His research focuses on computer vision and pattern recognition, particularly on the following topics:

  • Image Understanding: Detection and Segmentation
  • Label-Efficient Learning: Semi-Supervised Learning, Domain Adaptation, Active learning
  • Unsupervised Representation Learning: Self-Supervised Learning
  • Large Models: Vision-language Models
  • Robotics: Specialized Detection


🔥News


📝 Publications

( * indicates corresponding author)
(Licong Guan, Xue Yuan*)
IEEE Transactions on Intelligent Transportation Systems (TITS, CCF-B), 2024
(Licong Guan, Xue Yuan*)
Engineering Applications of Artificial Intelligence (EAAI, CCF-C), 2024
(Licong Guan, Xue Yuan*)
(Di Wu, Xue Yuan*, Licong Guan)
2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA, EI), 2023
(Licong Guan, Xue Yuan*)
IEEE Transactions on Intelligent Transportation Systems (TITS, CCF-B), 2023
(Lichao Ma, Licong Guan*, Yang Liu)
Advances in Intelligent Automation and Soft Computing (AIASC), 2022
(Licong Guan, Xue Yuan*)
Journal of Electronic Imaging (JEI), 2021
(李海菊, 连超, 管利聪, 李超伦, 栾振东)
海洋科学 (北大核心), 2020
(Chuntang Zhang*, Licong Guan)
Journal of Petroleum Exploration and Production Technology (J PET EXPLOR PROD TE), 2019
(张春堂*, 管利聪)
工矿自动化 (北大核心), 2019

🛠 Projects

UAV-based Intelligent Forestry Inspection System: Images collected by UAVs are fed into an embedded computing module to measure different categories of information in real time and determine whether there are any anomalies. During the implementation of this project, we apply the proposed interactive data annotation method to this project, which solves the problem of expensive annotation cost.
Co-developed with Shanghai Yuanyi Survey and Design Co., 2022-2023
Operation and Maintenance Safety Intelligent Inspection Robot: The images collected by the robot are sent to the intelligent recognition and calculation module, which locates the inspection equipment parts in real time, and uses different algorithms to process them according to different parts, obtains the status information of the equipment parts, and determines whether there is a potential safety hazard.
Co-developed with Shenyang Coal Academy, 2021-2022
Intelligent Interaction System for Automotive Charging Pile Interface Detection Based on Computer Vision: The interface of the charging pile is captured by the binocular camera, sent to the AI recognition module to judge the interface state information, and after communicating with the cloud platform, instructions are given to control the robotic arm to click on the interface of the charging pile for testing.
Co-developed with National Grid, 2020-2021
Belt surface defect detection and localization system based on visual analysis: The video stream of the belt is acquired by the camera and processed by the AI algorithm to locate the detection information of tears, damages, and foreign objects on the belt surface, and if there is any abnormality, timely alarms will be issued for processing. During the implementation of this project, we should apply the proposed image synthesis algorithm to this project to solve the problem of fewer defect samples.
Co-developed with Shanshan Xi'an Digital Intelligent Technology Co., 2020-2021

📚 Academic Activities

Conference Reviewers

  • IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020

Journal Reviewers

  • IEEE Transactions on Intelligent Transportation Systems (TITS)
  • IEEE Transactions on Artificial Intelligence (TAI)

🎓 Education

Ph.D. in CV, School of Electronic and Information Engineering, Beijing Jiao Tong University, Beijing, China.
Sep. 2020 - Present
M.S. degree from Institute of Automation and Electronics Engineering, Qingdao University of Science and Technology, Shandong, China.
Sep. 2017 - June 2020
B.E. degree from Institute of Automation and Electronics Engineering, Qingdao University of Science and Technology, Shandong, China.
Sep. 2013 - June 2017

🎖 Awards

Outstanding Graduate Student of Beijing Jiaotong University
06 / 2024
First Prize in the 2th Hollysys Technology Innovation Competition
03 / 2023
Excellence Award in the 6th Zhongguancun Emerging Field Special Competition
02 / 2023
Second Prize in the 16th China Postgraduate Electronic Design Competition National
08 / 2021
Third Prize in the 14th China Postgraduate Mathematical Contest in Modeling National
09 / 2017