Liuyin Yang
LY

PhD Researcher · Computational Neuroscience · KU Leuven

Liuyin Yang

I build EEG foundation models for brain–computer interfaces — teaching large models pretrained on scalp EEG to transfer into intracranial recordings, and turning neural signals into real-time control, auditory, and motor decoding.

  • EEG Foundation Models
  • Brain–Computer Interfaces
  • Scalp → Intracranial Transfer
  • Auditory & Motor Decoding
  • Real-time BCI
Get in touch Read the work

Background

Curriculum Vitae

Education

  1. 2021 — now
    PhD, Biomedical Sciences (Medicine)
    KU Leuven · Leuven, Belgium
    Topic: EEG-based brain–computer interfaces. Advisor: Prof. Marc M. Van Hulle.
  2. 2020 — 21
    Advanced Master, Artificial Intelligence
    KU Leuven · Big Data Analytics
    Cum laude
  3. 2019 — 20
    MSc, Electronics & ICT Engineering
    KU Leuven · Engineering Technology
    Cum laude
  4. 2017 — 19
    BSc, Electronics Engineering
    KU Leuven
    Cum laude
  5. 2015 — 17
    BEng, Electrical Engineering & Automation
    Chongqing University · China

Research Experience

  1. 2021 — now
    PhD Researcher
    Computational Neuroscience Group, KU Leuven
    EEG foundation models for BCI; cross-modality scalp-to-intracranial transfer; auditory decoding (ICASSP 2023 — 2nd place); winner of the EEG Foundation Challenge at NeurIPS 2025; online motor-imagery BCI systems.
  2. 2019 — 20
    Master's Thesis Researcher
    KU Leuven · Engineering Technology
    Real-time adaptive-filter speech enhancement on a DSP board, deployed in an IoT communication system.

Skills

Deep Learning
PyTorchDistributed Training (DDP)TransformersSelf-supervised Learning
EEG & Lab
EEG ExperimentationSignal ProcessingUnity (VR — Meta Quest Pro)Android Studio
Programming
PythonMATLABOctaveJavaC / C++ / C#Assembler
Embedded & Hardware
Vivado (FPGA)DSP Board (C5515 eZdsp)ArduinoEagle (PCB)Microcontrollers
Languages
English — proficient中文 — proficientFrançais — intermediate
Download CV (PDF)

14 papers · 88 citations

Publications

88 Citations
6 h-index
4 i10-index
14 Publications

As of July 2026 · Source: Google Scholar

  1. 2026

    Latest preprint

    CORTEG: Foundation Models Enable Cross-Modality Representation Transfer from Scalp to Intracranial Brain Recordings

    L Yang, Q Sun, B Van Dyck, EC Merino, MM Van Hulle

    Can a large model pretrained on scalp EEG be adapted to intracranial (ECoG) recordings? CORTEG bridges the two with an electrode-aware spatial adapter and a dual-stream tokenizer for low-frequency and high-gamma activity, then calibrates to a held-out patient in minutes — matching or beating task-specific baselines on finger-trajectory and audio-envelope regression.

    arXiv preprint · arXiv:2605.10337

    1 citation arXiv Code
    Preprint
  2. 2026

    Are EEG Foundation Models Worth It? Comparative Evaluation with Traditional Decoders in Diverse BCI Tasks

    L Yang, Q Sun, A Li, MM Van Hulle

    International Conference on Learning Representations (ICLR)

    9 citations Scholar
    Conference
  3. 2026

    Characterization of Speech Imagery in Scalp EEG and Comparison with Motor Imagery

    B Van Dyck, L Yang, Q Sun, A Li, MM Van Hulle

    arXiv preprint · arXiv:2606.12223

    arXiv
    Preprint
  4. 2026

    Large EEG Foundation Model Learns Informative Low-Frequency Representations from Intracranial Brain Signals

    Q Sun, L Yang, EC Merino, MM Van Hulle

    1st ICLR Workshop on Time Series in the Age of Large Models

    1 citation Scholar
    Workshop
  5. 2026

    Do We Need Domain-Specific Time-Series Models? Insights from EEG Classification Benchmarks

    L Yang, Q Sun, MM Van Hulle

    1st ICLR Workshop on Time Series in the Age of Large Models

    Scholar
    Workshop
  6. 2026

    A Multi-Paradigm EEG Dataset for Multi-Task BCI Applications

    L Yang, B Van Dyck, Q Sun, A Li, MM Van Hulle

    KU Leuven Research Data Repository · doi:10.48804/3EUSTS

    Dataset
    Dataset
  7. 2025

    CoMET: A Contrastive-Masked Brain Foundation Model for Universal EEG Representation

    A Li, Z Wang, L Yang, Z Wang, T Xu, H Hu, MM Van Hulle

    arXiv preprint · arXiv:2509.00314

    7 citations arXiv
    Preprint
  8. 2025

    On the Impact of Proprioception in EEG Representations and Decoding during Human-Hand Exoskeleton Interaction

    Q Sun, EC Merino, L Yang, A Faes, MM Van Hulle

    International Conference on Rehabilitation Robotics (ICORR)

    DOI
    Conference
  9. 2024

    Unraveling EEG Correlates of Unimanual Finger Movements: Insights from Non-Repetitive Flexion and Extension Tasks

    Q Sun, EC Merino, L Yang, MM Van Hulle

    Journal of NeuroEngineering and Rehabilitation

    19 citations DOI
    Journal
  10. 2024

    Binocularly Incongruent, Multifrequency-Coded SSVEP in VR: Feasibility and Characteristics

    L Yang, Q Sun, MM Van Hulle

    Journal of Neural Engineering

    5 citations DOI
    Journal
  11. 2024

    Sea-Wave: Speech Envelope Reconstruction from Auditory EEG with an Adapted WaveNet

    L Yang, B Van Dyck, MM Van Hulle

    IEEE Open Journal of Signal Processing

    3 citations DOI
    Journal
  12. 2023

    Decoding Auditory EEG Responses Using an Adapted WaveNet

    B Van Dyck, L Yang, MM Van Hulle

    IEEE ICASSP 2023 — 2nd place, Auditory EEG Grand Challenge

    15 citations DOI
    Conference
  13. 2023

    Real-Time Navigation in Google Street View Using a Motor Imagery-Based BCI

    L Yang, MM Van Hulle

    Sensors

    16 citations DOI
    Journal
  14. 2021

    Chronic Study on Brainwave Authentication in a Real-Life Setting: An LSTM-Based Bagging Approach

    L Yang, A Libert, MM Van Hulle

    Biosensors

    12 citations DOI
    Journal

Invited & teaching

Talks & Teaching

Invited & Selected Talks

  1. Dec 2025
    Spotlight Talk — EEG Foundation Challenge 2025
    NeurIPS 2025 Competition Track · San Diego
    View on neurips.cc →
  2. 2025
    EEG Foundation Models
    IEEE NER 2025 Workshop
  3. 2025
    Scaling EEG Foundation Model Pretraining
    KU Leuven / UHasselt Tier-2 HPC User Day

Teaching

  1. recurring
    Teaching Assistant
    Brain-Computer Interfaces (MSc course) · KU Leuven

Recognition

Awards & Honors

  1. 2025
    1st Place — EEG Foundation Challenge 2025
    From Cross-Task to Cross-Subject EEG Decoding · NeurIPS 2025 Competition Track · eeg2025.github.io
  2. 2023
    2nd Place — ICASSP 2023 Grand Challenge
    Auditory EEG Decoding Challenge · WaveNet regression model
  3. 2019 — 21
    Cum laude — three consecutive KU Leuven degrees
    Advanced Master AI (2021) · MSc Electronics & ICT (2020) · BSc Electronics (2019)

Let's talk

Contact

Email

liuyin.yang@kuleuven.be

Computational Neuroscience Group
KU Leuven · Leuven, Belgium

Elsewhere