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bahayonghang — PhD student researching Industrial Control & Deep Learning. Rust & Python developer, Linux enthusiast, and open-source contributor.

Email ORCID GitHub Google Scholar Website


🎓 About Me

  • 🔬 PhD Student specializing in Industrial Control & Deep Learning
  • 🦀 Passionate about Rust systems programming
  • 🐍 Experienced Python developer for ML/DL research
  • 🐧 Linux enthusiast & open-source contributor

🛠️ Tech Stack

Languages

Rust Python C++

AI/ML Frameworks

PyTorch Scikit-learn NumPy

Tools & Platforms

Linux Docker Git VS Code


📚 Research & Publications

🔍 Research Interests: Industrial Control · Deep Learning

📄 Selected Publications:

  1. Y. Li et al., "Predictive Monitoring of Industrial Processes and Quality Indices via Joint Training of Soft Sensor and Time-Series Forecasting," IEEE Transactions on Industrial Informatics, 2026. IEEE Xplore (中科院1区TOP,JCR Q1,IF=9.8)

  2. Y. Li et al., "Transformer-Based Prediction of Free Calcium Oxide in Cement Clinker with Channel-Spatial Dual-Attention Generative Adversarial Data Augmentation," Journal of the Taiwan Institute of Chemical Engineers, 2026. ScienceDirect (中科院2区,JCR Q1,IF=6.8)

  3. Y. Li et al., "Enhancing Cement Clinker Quality Prediction through Integrated Convolutional and Recurrent Neural Networks with Adversarial Data Augmentation," Engineering Research Express, 2025. ScienceDirect (中科院4区,JCR Q2,IF=1.8)

  4. Y. Li et al., "Collaborative optimization decision making of cement grinding process operational indicators considering dual dynamic problem," Applied Soft Computing, 2024. ScienceDirect (中科院1区TOP,JCR Q1,IF=7.8)

📖 Full list available on Google Scholar · ORCID


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