Junhao Song,

I am currently a postgraduate student in Applied Computational Science and Engineering at Imperial College London. I received my BSc (Hons) in Computer Science (Artificial Intelligence) from Heriot-Watt University in 2023. I am immensely grateful to Dr. Wei Pang and Prof. Ron Petrick for their invaluable guidance and support throughout my undergraduate studies.

My research interests encompass multimodal learning and computational intelligence, with a focus on self-supervised learning in visual computing and the optimisation of model inference through evolutionary computation. I am also exploring the application of diffusion models in video generation and self-supervised learning with large language models, with a particular focus on integrating autoregressive models and multimodal data to enhance the coherence and quality of audio-visual content.

  • Name: Junhao Song
  • Email: junhao [dot] song23 [at] imperial [dot] ac [dot] uk
  • Address: Imperial College London, Exhibition Rd, South Kensington, London SW7 2BX
  • Blog | Github | Linkedin | Google Scholar | Twitter | ORCID

Publications

  • Exploring Public Attention in the Circular Economy through Topic Modelling with Twin Hyperparameter Optimisation
    Junhao Song*, Yingfang Yuan*, Kaiwen Chang, Bing Xu, Jin Xuan, and Wei Pang†
    Energy and AI, October. 2024
    paper (In Press) | preprint | code

  • SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic Paradigm
    Junhao Song*, Yingfang Yuan*, and Wei Pang†
    Proceedings of the Genetic and Evolutionary Computation Conference (GECCO’24 Companion), July. 2024
    paper | 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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const Junhao = {
  
  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"
  },
  
  challenge: "I'm currently working on diffusion models for video generation."

}

Last Updated: 20th October, 2024