👨‍🎓 About Me

I am a Ph.D. Candidate at Beijing University of Chemical Technology (BUCT), where I also earned my Bachelor’s degree in 2021. I am currently conducting research at the Engineering Research Center of Intelligent Process Systems Engineering, supervised by Prof. Yan-Lin He. Currently, I am a Visiting Researcher at the University of Glasgow, supervised by Dr. Zhenghua Chen. My research focuses on Process Data Analytics, Soft Sensor Modeling, and Time-Series Forecasting. I am particularly interested in integrating deep learning architectures—such as Transformers and Variational Autoencoders—into industrial process modeling to enhance monitoring and efficiency.

🔥 News

  • 2026.06:  🎉🎉 We have released InduTS-SS, a unified and fair dynamic soft sensor library and benchmark. If you are interested in it, please follow and star!
  • 2025.12:  🎉🎉 入选了中国科协青年科技人才培育工程博士生专项计划!

📝 Publications

TNNLS2025
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Industrial data imputation based on multiscale spatiotemporal information embedding with asymmetrical transformer


IEEE Transactions on Neural Networks and Learning Systems


Xing-Yuan Li, Yuan Xu, Qun-Xiong Zhu, Yan-Lin He

TII2023
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Data mode-related generative adversarial network for industrial soft sensor application


IEEE Transactions on Industrial Informatics


Xing-Yuan Li, Qun-Xiong Zhu, Yan-Lin He

Novel distributed GRUs based on hybrid self-attention mechanism for dynamic soft sensing

IEEE Transactions on Automation Science and Engineering

Yan-Lin He, Xing-Yuan Li, Yuan Xu, Qun-Xiong Zhu, Shan Lu


Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing

Engineering Applications of Artificial Intelligence

Yan-Lin He, Xing-Yuan Li, Jia-Hui Ma, Qun-Xiong Zhu, Shan Lu


A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing

Journal of Process Control

Yan-Lin He, Xing-Yuan Li, Jia-Hui Ma, Shan Lu, Qun-Xiong Zhu


🎖 Honors and Awards

  • 2025.12 中国科协青年科技人才培育工程博士生专项计划
  • 2025.10 National Scholarship(TOP 1%)
  • 2025.04 China Scholarship Council Scholarship
  • 2022.10 National Scholarship (TOP 1%)
  • 2021.06 Outstanding graduate of Beijing
  • 2020.10 Lingyue Technology Scholarship(Top 5%)
  • 2019.10 Liwen and Yangyan Scholarship (Top 5%)
  • 2018.03 Renmin First Class Scholarship (Top 1%)
  • 2020.04 MCM/ICM Contest Meritorious Winner with Hu Xiao and Luo Jilong

📖 Educations

- 2026.03 - now, Postgraduate Researcher, University of Glasgow, Supervisor: Dr Zhenghua Chen

- 2021.09 - now, Ph.D Candidate, Beijing University of chemical Technology, Beijing

- 2017.09 - 2021.06, Bachelor, Beijing University of Chemical Technology, Beijing

- 2014.09 - 2017.06, Graduate, Naning No.2 High School, Guangxi

💻 Internships

  • 2021.03 - 2021.06, Tensorchip, Beijing, China
  • 2022.03 -2022.06, Machine learning engineer intern, Xuyuan Technology, Beijing China
  • 2024.03 - 2024.09 Deep learning engineer intern, Circue Energy, Beijing, China