Junhao Song,

Last Updated: 20th October, 2024

He is currently pursuing a postgraduate degree in Applied Computational Science and Engineering at Imperial College London. He completed his BSc (Hons) in Computer Science (Artificial Intelligence) at Heriot-Watt University in 2023. During his undergraduate studies, he benefitted greatly from the invaluable guidance and support of Prof. Wei Pang and Prof. Ron Petrick.

His research interests lie in the fields of multimodal learning and computational intelligence. His work focuses on self-supervised learning in human-inspired computing and the optimisation of model inference using evolutionary computation. He is also investigating the application of diffusion models in video generation and exploring self-supervised learning with large language models. His research aims to enhance the coherence and quality of audio-visual content by integrating autoregressive models with multimodal data.

📖 Publications

  • 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. Paper | Preprint | Code.

  • 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). Paper | Preprint | Code.

  • Hsieh, W., Bi, Z., Jiang, C., Liu, J., Peng, B., Zhang, S., Pan, X., Xu, J., Wang, J., Chen, K. and Yin, C.H., 2024. A Comprehensive Guide to Explainable AI: From Classical Models to LLMs. arXiv preprint arXiv:2412.00800. Preprint | Code.

📝 Professional Services

  • Conference Reviewer: LoG 2024, CHI 2025, ICLR 2025.

🏆 Honors & Awards

  • 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 ImperialAI, June 2024 to Present

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

  • Member of the BCML Lab, September 2022 to Present

  • 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

🎓 Education Background

Master of Science in Applied Computational Science and Engineering

  • University: Imperial College London, London, United Kingdom
  • Academy: Faculty of Engineering
  • Duration: September 2023 - September 2024
  • Grade: Pending

Bachelor of Science (Hons) in Computer Science (Artificial Intelligence)

Bachelor of Science in Computer Science (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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  pronouns: "he" | "him",
  
  core_code: ["C", "C++", "Python", "Java", "R", "C#"],
  
  core_tools: ["Conda", "LaTeX", "Vim", "Jupyter", "Git"],
  
  architecture: ["multimodal_learning", "machine_learning", "visual_computing"],
  
  details: {
    hobbies: ["opera", "travelling"],
    os: ["debian", "macOS"],
    pet: "garfield"
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  challenge: "I'm currently working on diffusion models for video generation."

}