Welcome!

I am now an incoming PhD student at The University of Utah, ECE. Fortunately, I will be supervised by Prof. Mingyue Ji of EdgeAI Lab from Department of Electrical and Computer Engineeing, University of Utah.

From 2023 to 2024, I worked at ByteDance - DouBao as a daily intern in Beijing, undertaking data analytics cohort tasks under the guidance of Mr. Zhaojian Li.

In my first two years before joining ByteDance, I conducted research work on the Graduate Thesis at Workstation of Mao Ming, Academician of Chinese Academy of Sciences, under the supervision of Dr. Jingjing Fan.

My research interest includes Machine Learning, Inverse Reinforcement Learning, and Autonomous Driving Decision Making. Currently, I am deeply involved in specific projects related to Federated Learning and Optimization perspectives for my PhD research.

You can find my CV here: Ming Zhan’s Curriculum Vitae. If you are interested in my work, please feel free to drop me an email.

🔥 News

  • 2024.02:  New Paper on Trajectory Prediction of Vehicle Lane Change for Autonomous Driving Based on Inverse Reinforcement Learning Accepted by ICTETS 2023.
  • 2023.12:  New Paper on Fuzzy Control of Two-stage ISD Suspension Based on Variable Inerter Accepted by ICCIR 2023.
  • 2023.10:  🎉🎉New Journal Paper on Two-stage semi-active ISD suspension based on improved fuzzy neural network PID control Accepted by Sensors 2023.
  • 2023.08:  🎉🎉New Journal Paper on Generative Adversarial Inverse Reinforcement Learning With Deep Deterministic Policy Gradient Accepted by IEEE Access 2023.
  • 2022.02:  New Paper on Systematic Review of DDPG Algorithm-Based Path Planning for Intelligent Vehicles Accepted by Auto Know (In Chinese) 2022.

📝 Publications

  • 🎓During My Master’s Research Program
IEEE Access 2023
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Generative Adversarial Inverse Reinforcement Learning With Deep Deterministic Policy Gradient

Ming Zhan, Jingjing Fan, Jianying Guo

Project | SCI Journal Paper

  • IEEE Access, vol. 11, pp. 87732-87746, 2023, doi: 10.1109/ACCESS.2023.3305453.
Sensors 2023
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Research on two-stage semi-active ISD suspension based on improved fuzzy neural network PID control

Linhao Jin, Jingjing Fan, Fu Du, Ming Zhan

Project | SCI Journal Paper

  • Sensors 23, no. 20: 8388. https://doi.org/10.3390/s23208388.
ICTETS 2023
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Research on Trajectory Prediction of Vehicle Lane Change for Autonomous Driving Based on Inverse Reinforcement Learning

Ming Zhan, Jingjing Fan, Linhao Jin

Project | EI International Conference

  • Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 130643A (20 February 2024); https://doi.org/10.1117/12.3015773.
ICCIR 2023
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Research on Fuzzy Control of Two-stage ISD Suspension Based on Variable Inerter

Linhao Jin, Jingjing Fan, Fu Du, Ming Zhan

Project | EI International Conference

  • Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 129401G (1 December 2023); https://doi.org/10.1117/12.3010611.

🎖 Honors and Awards

  • 2024.06 Beijing Outstanding Graduate (Top 1%)
  • 2023.10 China National Scholarship (Top 1%)
  • 2021-2023 Outstanding Graduate Student at the School Level (Top 5%)
  • 2022.10 Postgraduate First-Class Scholarship (Top 10%)

📖 Educations

  • 2021.09 - 2024.07, Master of Engineering in Control Engineering, North China University of Technology, Beijing, China
  • 2017.09 - 2021.07, Bachelor of Engineering in Software Engineering, Zhuhai College of Jilin University, Zhuhai, China

💻 Internships

  • 🎓During My Master’s Research Program
ByteDance
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DouBao - Large Language Model (LLM) Product

Department · China Content Quality and DataRocks · Mathematical Logic | Sequence · Data Science

  • Advised by Mr. Zhaojian Li
  • Jun. 2023 - Jan. 2024
Workstation of Mao Ming, Academician, CAS
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Jiangsu Shengyu Intelligent Equipment Technology Co., Ltd.

Sequence · Research and Development Engineer

  • Advised by Dr. Jingjing Fan
  • Jul. 2022 - May. 2023

I know I am not the perfect one, yet aspire to chase the world and achieve greatness@Ming Zhan