Junhao Song

He is a first year PhD student in Computing Research at Imperial College London, fully funded by the Hitachi–Imperial studentship. His research is supervised by Prof. William J. Knottenbelt and Prof. Enrico Biffis. Prior to his PhD studies, he completed his Master of Science in Applied Computational Science and Engineering at Imperial College London in 2024 under the supervision of Prof. Lluis Guasch and Prof. Siyang Song. His academic journey began at Heriot-Watt University, where he earned a Bachelor of Science (Honours) in Computer Science (Artificial Intelligence) in 2023 under the supervision of Prof. Wei Pang and Prof. Ronald P. A. Petrick.

His current research focuses on Q-learning, Markov decision processes and stochastic modelling, with particular emphasis on venture capital and quantitative analysis applications. Previously, he worked extensively in the fields of self-supervised learning and computational intelligence, evolutionary computation for model optimisation, and diffusion models for interactive video generation. He always focuses on constructing mathematical models to learn representations and derive solutions from real-world scenarios.

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📧 Email:

junhao [dot] song23 [at] imperial [dot] ac [dot] uk

🏢 Office Address:

Junhao Song

PhD student in Computing Research

Department of Computing, Huxley Building

180 Queen’s Gate, South Kensington

London, United Kingdom

SW7 2RH

📖 Publications

  • Yang, Z., Song, J., Song, S., Pang, W. and Yuan, Y., 2025. MERMAID: Multi-perspective Self-reflective Agents with Generative Augmentation for Emotion Recognition. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP Main Conference 2025 accepted.

  • Tseng, C.-Y., Song, J., Bi, Z., Wang, T., Liang, C. X. and Liu, M., 2025. Active Learning Methods for Efficient Data Utilization and Model Performance Enhancement. arXiv preprint arXiv:2504.16136.

  • Bi, Z., Chen, K., Tseng, C.-Y., Zhang, D., Wang, T., Luo, H., Chen, L., Huang, J., Guan, J., Hao, J. and others, 2025. Is GPT-OSS Good? A Comprehensive Evaluation of OpenAI’s Latest Open Source Models. arXiv preprint arXiv:2508.12461.

  • Song, J., Yuan, Y., Chang, K., Xu, B., Xuan, J. and Pang, W., 2024. Exploring public attention in the circular economy through topic modelling with twin hyperparameter optimisation. Energy and AI, 18, p.100433.

  • Song, J., Yuan, Y. and Pang, W., 2024, July. SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 2115-2118).

📝 Academic Services

  • Conference Reviewer: CHI 2025, ICLR 2025, ICCV 2025, AAAI 2026.

🏆 Honors & Awards

  • Full Scholarship for PhD Computing Research (March 2025) Awarded by Hitachi Europe Ltd. and Imperial College London (ICL)

  • 1st place at MSc Applied Computational Science and Engineering in “The Deep Impact” MSc Project (Nov 2023) Awarded by Imperial College London (ICL)

  • 1st place at Heriot-Watt University, 3rd place of Scotland in SICSA Algorithms Programming Challenge “Humble Hamming” (Jan 2023) Awarded by Scottish Informatics and Computer Science Alliance (SICSA)

  • 1st place at Heriot-Watt University, 4th place of Scotland in SICSA Algorithms Programming Challenge “Groundbreaking Goedel” (Mar 2022) Awarded by Scottish Informatics and Computer Science Alliance (SICSA)

  • Scholarship For Excellence: Ranked in the Top 1% of the department in terms of average grades at China Agricultural University (May 2020) Awarded by China Agricultural University (CAU)

💼 Professional Experiences

  • Research Assistant at the Hitachi-Imperial Centre, August 2025 to Present

  • Research Assistant at PRIME and Circular Chemical, February 2025 to August 2025

  • Research Assistant at the HBUG Lab, June 2024 to November 2024

  • Research Programmer (Research Assistant) at DCEE, June 2023 to June 2024

  • Research Assistant at the BCML Lab, September 2022 to August 2025

  • Deep Learning Development Consultant Intern at Duotuo, August 2022 to November 2022

  • Research Programmer (Research Assistant) at RAInS, March 2022 to June 2022

  • Website (Backend) Developer at UNV, August 2021 to October 2022

  • Machine Learning Software Development Intern at RAInS, April 2021 to September 2021

  • Member of the HWU Algorithmic Competition Team, March 2021 to September 2022

🎓 Educational Background

Imperial College London
Imperial College of Science, Technology and Medicine
Faculty of Engineering
Doctor of Philosophy in Computing Research
August 2025 - August 2029
Master of Science in Applied Computational Science and Engineering
September 2023 - December 2024
Heriot-Watt University
Heriot-Watt University
School of Mathematical and Computer Sciences
Bachelor of Science (Honours) in Computer Science (Artificial Intelligence)
September 2020 - June 2023
China Agricultural University
China Agricultural University
International College & College of Information and Electrical Engineering
Bachelor of Science in Computer Science
September 2019 - June 2020
Transferred to Heriot-Watt University

Résumé

📄 Curriculum Vitae.

🎯 MOTTO

There is nothing like a dream to create the future. – Les Misérables, by Victor Hugo

📜 Further Information

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const Junhao = {
  
  pronouns: "he" | "him",
  
  core_code: ["C", "C++", "Python", "Java", "R", "C#"],
  
  core_tools: ["Conda", "LaTeX", "Vim", "Jupyter", "Git"],
  
  architecture: ["stochastic_modelling", "representation_learning", "q_learning"],
  
  details: {
    hobbies: ["opera", "travelling"],
    os: ["debian", "macOS"],
    pet: "garfield"
  },
  
  challenge: "I'm currently working on stochastic modelling applied to carbon finance."

}

Last Updated: 1st September, 2025.