CV

Education

• University of Cambridge, Department of Psychology Cambridge, UK
  • MPhil in Biological Science (Psychology) 10/2021 – 02/2023
    • Concentration: Neuroimaging data processing, Psycholinguistics, Natural Language Processing
    • Dissertation: The modification of high‑level attentional processing in bilingualism
• Tongji University, College of Electronics and Information Engineering Shanghai, CN
  • B.E. Computer Science and Technology 09/2016 ‑ 06/2020
    • Concentration: Machine Learning, Brain‑Computer Interface (BCI)
    • Coursework: Machine learning, Natural Language Processing, Algorithm Analysis and Design, Database Systems, Data Structures, Wed Technology, Operating System
    • Dissertation: Motor Imagery Brain Computer Interface based on Transfer Learning (Awarded Excellent Thesis, Tongji University)

Research Experience

• 11/2023 – present: Research Assistant
  • Centre for Neuroscience in Education, University of Cambridge
  • Research Topic: EEG‑based BCI for Developmental Dyslexia and Developmental Language Disorder.
  • Responsibility: model construction, EEG data collection with children
  • Supervisor: Prof. Usha Goswami
• 11/2022 – 10/2023: Research Assistant
  • Computational and Biological Learning Lab, University of Cambridge
  • Research Topic: Temporal regularity of chronic pain
  • Responsibility: Experiment design and conduction; Data analysis; Model construction (fMRI, behavioral data); Paper writing
  • Additional work: Provide forms of mentorship to MRes students; Patient and public involvement
  • Supervisor: Dr. Flavia Mancini
• 10/2021 – 10/2022: MPhil Student
  • Brain, Language and Bilingualism Lab, University of Cambridge
  • Research Topic: The modification of high‑level attentional processing in bilingualism.
  • Responsibility: Data processing, Algorithm design, Data analysis, Thesis writing
  • Supervisor: Dr. Mirjana Bozic
• 03/2019 ‑ 03/2021: Research Student
  • Brain Cognition and Computation Laboratory, Tongji University
  • Research Topic:
    • Multiple session classification of EEG signals based on Transfer Learning and Common Spatial Pattern
    • Pattern analysis of ERP feature of Chinese vocabulary processing under TMS
    • Stroke recovery based on body ownership BCI system in Virtual Reality
  • Responsibility: EEG data collection and preprocessing, Algorithm implementation, Model verification, Software development
  • Supervisor: Dr. Jie Li and Prof. Jie Zhuang

Publications

Zero-Shot Learning for EEG Classification in Motor Imagery-Based BCI System

Duan, L., Li, J., Ji, H., Pang, Z., Zheng, X., Lu, R., ... & Zhuang, J. (2020). Zero-shot learning for EEG classification in motor imagery-based BCI system. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(11), 2411-2419.

Task Transfer Learning for EEG Classification in Motor Imagery‐Based BCI System

Zheng, X., Li, J., Ji, H., Duan, L., Li, M., Pang, Z., ... & Tianhao, G. (2020). Task Transfer Learning for EEG Classification in Motor Imagery‐Based BCI System. Computational and Mathematical Methods in Medicine, 2020(1), 6056383.

Psychopy based Continuous Pain Monitoring Task

Zheng, X., Rajwal, S., Ho, S. Y. S., Ashworth, C., Seymour, B., Shenker, N., & Mancini, F. (2024). Psychopy based Continuous Pain Monitoring Task (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.13754802

Hidden rhythms of chronic musculoskeletal pain ‑ a short‑term cohort study

unpublished

Differential Neural Systems for Competition and Selection Processes in Word Recognition

under review

Talks

The modification of high-level attentional processing in bilingualism

September 08, 2022

Presentation at Architectures and Mechanisms for Language Processing, University of York, UK

Skills

• Research Interest
  • Brain‑Computer Interface, Computational Neuroscience, Psycholinguistic, Machine Learning
• Programming
  • (Proficient) Python, MATLAB, C++, JavaScript, HTML/CSS; (Familiar)R, SQL, Java
• Miscellaneous
  • Linux, $\LaTeX$, Git.
• Frameworks and Tools
  • Machine learning frameworks: Keras, PyTorch, scikit‑learn, Stan
  • Psychology and neuroimaging toolbox: MNE-python, EEGLAB, E‑Prime, Psychopy, Prolific, Qualtrics
  • Website framework: Django, bootstrap, jQuery, wordpress

Achievements

• 2020 The First Prize, Excellent Graduate of Tongji University China
• 2020 The First Prize, Excellent thesis for graduating student of Tongji University China
• 2019 The First Prize, The Challenge Cup‑2019 of Tongji University China
• 2018 The First Prize, Tongji Scholarship for Social Practice China
• 2018 The Third Prize, CUMCM (Contemporary Undergraduate Mathematical Contest in Modeling) of Shanghai China
• 2017 The Third Prize, Tongji Scholarship of Excellence China

Interests

• Music
  • member of Cambridge Graduate Orchestra
  • member of Cambridge University Wind Orchestra
  • member of Orchestra of Tongji University
• Docent
  • Volunteer docent in Shanghai LuXun Museum