Shengyuan Cai

Shengyuan Cai

Anything worth doing is worth overdoing.

About me

Hi! I am a postgraduate student at Imperial College London supervised by Prof. Simon R. Schultz. Before that, I joined the lab of Prof. Quanying Liu at SUSTech as a post-baccalaureate student and the lab of Prof. Pengfei Wei at Shenzhen Institute of Advanced Technology as a research assistant. I did my bachelor’s from Chongxin College with an undergraduate research fellowship, Shandong University (SDU), and collaborated with Prof. Yu Zhang. My current research interests are neurobehavior, brain development, and representation learning. Feel free to talk with me about everything (board game enthusiast ๐Ÿ“”๐Ÿงฎ, tea person๐Ÿต)!

Interests
  • Neurobehavior
  • Representation learning
  • Neural dynamics
  • Brain development
Education
  • MRes of Neurotechnology, 2023 - 2024

    Imperial College London

  • BSc in Electrical and Information Engineering, 2018 - 2022

    Shandong University

News

12-07-2024 | Project: Matching_graphs_spatial_constraints. LOGML Summer School, London Geometry and Machine Learning

28-06-2024 | I will be presenting my poster at the neurotechnology symposium, Imperial College London.

10-09-2021 | I received financial support from National Training Programs of Innovation and Entrepreneurship, which inspired me to continue to carry out my research!

11-07-2021 | I attended Neuromatch, very happy to learn computational neuroscience with my friends!

02-07-2020 | I attended the summer semester of Peking University and learned FPGA design based on the RISC-V framework.

Publications

(2024). Multi-animal 3D social pose estimation, identification and behaviour embedding with a few-shot learning framework . Nature Machine Intelligence(48-61).

PDF Cite

(2022). Motor imagery decoding in the presence of distraction using graph sequence neural networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30(1716-1726).

PDF Cite

Recent Posts

Experience

 
 
 
 
 
Imperial College London
Master of Research
September 2023 โ€“ Present London, United Kingdom
  • Major: Neurotechnology
  • Academic Supervisor: Dr. Simon Schultz
  • Relevant Projects: Graph-theoretic analysis of memory encoding and recall with application to dementia.
 
 
 
 
 
Southern University of Science and Technology
Research Assistant
February 2022 โ€“ September 2023 Shenzhen, China
  • Supervisor: Dr. Quanying Liu
  • Research Focus: Finding effective connectivity in the non-linear information flow of asynchronous fMRI data, Analyzing brain heterogenous development to detect functional emergence in preterms and terms
 
 
 
 
 
Chinese Academy of Sciences - Shenzhen Institute of Advanced Technology
Undergraduate Research Assistant
August 2022 โ€“ January 2023 Shenzhen, China
  • Supervisor: Dr. Pengfei Wei
  • Research Focus: Inferring the relationship between neural activity and episodic behavior under the influence of sepsis.
 
 
 
 
 
Lehigh university
Undergraduate Research Assistant
March 2021 โ€“ August 2021 Bethlehem, PA, United States
  • Supervisor: Dr. Yu Zhang
  • Research Focus: Implementation of brain-computer interface algorithm with different distraction paradigms
 
 
 
 
 
Shandong university
Undergraduate
September 2018 โ€“ June 2022 Jinan, Shandong, China
  • Major: Electrical and Information Engineering, Innovation Key Class
  • Academic Supervisor: Dr. Qiang Wu
  • GPA: 87/100
  • Designed a graph convolutional neural network with the self-attention mechanism for graph feature analysis
  • Outstanding bachelor thesis (top 1%)

Contact