Curriculum VitæUpdated August 2026

English · Jin

Chongjin Yu

Ph.D. Student · Fall 2026

Department of Electronic and Computer Engineering · HKUST

Clear Water Bay, Hong Kong

01

Portrait

Education

  • 2026–Present

    Ph.D. in Electronic and Computer Engineering

    The Hong Kong University of Science and Technology
  • 2022–2026

    B.Eng. in Artificial Intelligence

    School of Gifted Young · University of Science and Technology of China

Research area

Invasive Brain–Computer Interfaces

Google Scholar

Profile forthcoming

02

Profile

I am a Ph.D. student in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology, beginning in Fall 2026. I received my B.Eng. in Artificial Intelligence from the School of Gifted Young at the University of Science and Technology of China.

During my undergraduate studies at USTC, I worked on ECG-based methods for epilepsy, including patient-specific seizure prediction and patient-independent seizure detection. During my Ph.D. at HKUST, my research focuses on invasive brain–computer interfaces and neural engineering.

03

Research Experience

Jan–Jun 2025 · Jan–Jun 2026

ECG-Based Patient-Independent Epileptic Seizure Detection via Beat-to-Beat Dynamic Distribution Modeling and Label Uncertainty Suppression

USTC · First author · Prepared for submission to Journal of Neural Engineering

  • Developed a lightweight patient-independent ECG seizure-detection framework using beat-to-beat waveform and heart-rate dynamic-distribution features.
  • Designed an EFCNN-based classifier with weighted cross-entropy to reduce the impact of uncertain seizure labels.
  • Achieved 84.6% seizure-level true detection and a 0.138 h⁻¹ false-alarm rate under leave-one-subject-out evaluation, reducing false alarms by 94% over the reproduced state-of-the-art baseline.

Jul–Dec 2025

Decoding Gait of Spinal Cord Injury Mice Based on M1 Neural Activity

HKUST · Summer internship

  • Decoded lower-limb gait in spinal-cord-injury mice from M1 neural activity using Kalman-filter and point-process methods.
  • Processed multichannel neural recordings and video-based gait kinematics, including spike sorting, spike-train construction, neural–behavioral alignment, and gait normalization.
  • Participated in animal behavioral training and learned experimental procedures for invasive brain–machine-interface research.

Jul–Dec 2024

ECG-Based Seizure Prediction Using Progressive Feature Fusion Mamba

USTC · Third author · IEEE Transactions on Artificial Intelligence

  • Proposed a Progressive Feature Fusion Mamba (PFFMamba) network for patient-specific seizure prediction, with a progressive feature-fusion structure designed to improve Mamba's fusion of parallel features.
  • Demonstrated performance beyond state-of-the-art methods on the USTC Epileptic ECG Database.
  • Advised by Dr. Le Wu and Prof. Xun Chen, Department of Electronic Engineering and Information Science, USTC.
04

Research Papers

  1. Third author

    ECG-Based Seizure Prediction Using Progressive Feature Fusion Mamba

    IEEE Transactions on Artificial Intelligence

  2. First author

    ECG-Based Patient-Independent Epileptic Seizure Detection via Beat-to-Beat Dynamic Distribution Modeling and Label Uncertainty Suppression

    Prepared for submission to Journal of Neural Engineering

05

Selected Awards

  • 2025
    • Excellent Student Scholarship — Bronze (top 20%)
  • 2024
    • Excellent Student Scholarship — Gold (top 3%)
    • Artificial Intelligence Technology Talented Program Scholarship B (top 20% in the program)
    • Rose Fund Public Affairs Scholarship
  • 2023
    • Excellent Student Scholarship — Silver (top 10%)
    • Artificial Intelligence Technology Talented Program Scholarship A (top 10% in the program)
    • Rose Fund Public Affairs Scholarship
  • 2022
    • Excellent Student Scholarship — Bronze (top 20%)
06

Leadership & Activities

  • Feb–Aug 2024

    Vice Minister, Office of the USTC Student Union

  • Apr 2023–Apr 2024

    President, Student Union of the School of Gifted Young

  • Sep 2022–Apr 2023

    Member, Student Union of the School of Gifted Young

  • Jun 2023

    Summer Admissions Volunteer

  • Aug 1–14, 2023

    Volunteer Teacher in Yumin, Tacheng, Xinjiang