Qunshan He (何群山)
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Biography
I am now a M.Eng. student from College of Control Science and Engineering, Zhejiang University.
Prior to this, I received my bachelor's degree from Department of Communication Engineering, Jilin University.
During my B.Eng. journey, I joined JRobot Laboratory and participated in RoboMaster Robotics Competition
as the group head of Robotic Vision since 2019, supervised by Yubo Xuan.
I also took charge of a National College Student Innovation Training Project,
served as a Research Intern in State Key Laboratory of Applied Optics of CIOMP since 2020, supervised by Dayu Li.
Currently, my research interests include
Graph Neural Network
Time Series Processing
Computational Imaging
Eduacation
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Zhejiang UniversityHangzhou, China M.Eng. in Electronic InformationSept. 2022 - Mar. 2025 (expected) State Key Laboratory of Industrial Control Technology |
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Jilin UniversityChangchun, China B.Eng. in Communication EngineeringAug. 2018 - Jun. 2022 GPA: 4.00/4.00, ranking: 1/334 Group Head of Robotic Vision for RoboMaster Robotic Competition in JRobot Laboratory, supervised by Yubo Xuan. Jan. 2019 - Jun. 2022 |
Publications
BioSTGC: A Spatial-Temporal Graph Convolution Soft Sensor Framework for Bio-Intelligent Manufacturing
Qunshan He, Wei Zeng, Hong Zhang, Yichen Song, Zijian Tian, Changdi Li, Xinggao Liu*
The 35th Chinese Process Control Conference(CPCC) (CAA-A), 2024
Human-in-the-loop: Human involvement in enhancing medical inquiry performance in large language models
Linpin Shu#, Qunshan He#, Bing Yan#, Di Wu, Menglin Wang, Chengshuo Wang, Luo Zhang*
# Contributed Equally, Allergy (CiteScore Q1, IF=12.6), 2023
Graph-based Multiscale Stacked Autoencoder for Biopharmaceutical Processes Soft Sensor
Qunshan He#, Zhichao Chen, Yichen Song, Changdi Li, Xinggao Liu*
Manuscript Submitted to IEEE Transaction on Instrumentation and Measurement (CiteScore Q1, IF=5.6)
Causality Enhanced Global-Local Graph Neural Network for Bioprocess Factor Forecasting
Ziyue Sun, Yinlong Li, Qunshan He, HuXu, Wenhai Wang, and Xinggao Liu*
IEEE Transactions on Industrial Informatics (CiteScore Q1, IF=11.7), 2024
HMT: Hybrid mechanistic Transformer for bio-fabrication prediction under complex environmental conditions
Yichen Song, Hu Xu, Changdi Li, Qunshan He, Zijian Tian, Xinggao Liu*
Expert Systems With Applications (CiteScore Q1, IF=7.5), 2024
Fast forest fire detection and segmentation application for UAV-assisted mobile edge computing system
Changdi Li, Guangye Li, Yichen Song, Qunshan He, Zijian Tian, Hu Xu and Xinggao Liu*
IEEE Internet of Things Journal (CiteScore Q1, IF=8.2), 2023
Hidformer: Hierarchical dual-tower transformer using multi-scale mergence for long-term time series forecasting
Zhaoran Liu, Yizhi Cao, Hu Xu, Yuxin Huang, Qunshan He, Xinjie Chen, Xiaoyu Tang, Xinggao Liu*
Expert Systems With Applications (CiteScore Q1, IF=7.5), 2024
Project Experience
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In the RoboMaster Robotics Competition, participants need to control their robots to attack enemy’s robots by launching projectiles.
And the only effective attacks are made by striking the Armor module, which is highly characterized by two bright light-bars (red or blue).
We come up with a machine vision method to recognize enemy’s armor and aim at the targeted one to realize robot automatic attack. |
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Standard microscope is limited by the Numerical Aperture (NA) of physical lenses,
if we want to see a feature with a higher resolution, we must switch to a different microscope objective, with a reduced field of view. |
Professional Experiences
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Massachusetts Institute of TechnologyMassachusetts, United States Winter Camp Participatant of Deep Learning for Autonomous Driving Course(Online) with A level certificate in CSAIL. Feb 2021 - Mar 2021 |
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University of Chinese Academy of ScienceChangchun, China Research Intern at State Key Laboratory of Applied Optics, CIOMP, developing Computational Imaging Microscope, supervised by Dayu Li. Oct 2020 - Jun. 2022 |
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Sungkyunkwan UniversitySeoul, South Korea Academic Visitor at the Robotics Innovatory Laboratory, delivering presentation "Robots Enriching my Youth" Nov. 3 2019 |
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IEEE International Conference on Computer VisionSeoul, South Korea ICCV2019 Student Participants and group member of JLU-Thunder for Large-Scale Video Object Segmentation Challenge. Oct. 27 - Nov. 2 2019 |
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University of GoettingenGoettingen, Germany Visiting Student at the Computer Networks Group, supervised by Prof. Xiaoming Fu (member of Academia Europaea). Jul. 2016 - Sep. 2016 |
Selected Awards
- First Prize of RoboMaster 2020 Robotics Competition (Robotics Vision)2020
- Open Source Award of RoboMaster 2020 Robotics Competition2020
- Silver Award of the 7th China International College Student "Internet+" Innovation and Entrepreneurship Competition (Project leader)2021
- Elite Students on Innovation and Entrepreneurship of Jilin University (Only 2 students per year)2022
- QiAnXin Scholarship2022
- Excellent Completion of the National College Student Innovation Training Project (Project leader)2022
- Excellent Completion of the Science and Technology Innovation Plan in University Chinese Academy of Sciences (UCAS) (Project leader)2022
- Bronze Award of the 8th China International College Student "Internet+" Innovation and Entrepreneurship Competition2023
- Special Prize in Jilin University's "Challenge Cup" Academic Competition2021
- Gold Award of the 7th Jilin Province "Internet+" Innovation and Entrepreneurship Competition2021
- Honorable Mention of Interdisciplinary Contest in Modeling (MCM) 2021
- First Prize of Jilin Province in Contemporary Undergraduate Mathematical Contest in Modeling(CUMCM) 2020
- First Prize Scholarship, Jilin University 2019 - 2022
- Outstanding Acadamic Scholarship, Jilin Univeristy 2019 - 2022
- Outstanding Student, Jilin University 2019 - 2022