I am currently a Ph.D. student in the School of Biomedical Engineering at Tsinghua University, under the supervision of Prof. Sen Song.

I received my bachelor’s degree in Computer Science and Technology from the College of Computer Science and Technology, Zhejiang University, under the supervision of Prof. Qian Zheng and Prof. Zhengxing Huang.

My research interests include AI for neuroscience, EEG decoding, and deep learning.

🔥 News

  • 2026.10:  🎉 Our paper “Beyond Isolated Peaks: Point-Aligned RD/RA Context for mmWave Fall Detection” is accepted by ACM MMAsia!
  • 2026.09:  🎉 Our paper “Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks” is accepted by NeurIPS 2026 (Poster)!
  • 2026.04:  🎉 Our paper “Training-Driven Representational Geometry Modularization Predicts Brain Alignment in Language Models” is accepted by CogSci 2026 (Oral)!
  • 2025.07:  🎉 Our paper “Reward-optimizing learning using stochastic release plasticity” is accepted by Frontiers in Neural Circuits!

📝 Publications

Preprint 2026
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Rethinking EEG-Based Disease Diagnosis: Decoupling Instance Representation Learning from Subject-Level Supervision

Zhiyuan Ma#, Zeyuan Li#, Zhiyi Lu#, Jiacheng Hao, Youlang Du, Zhen Jiang, Xinche Zhang, Yuhao Sun, Xinke Shen†, Sen Song†

Paper

  • We identify a two-sided supervision problem in subject-level EEG disease diagnosis.
  • We propose BridgeMIL, which decouples instance representation learning from subject-level supervision.
  • Across three datasets and five backbones, BridgeMIL ranks first in 14 of 15 settings and improves mean accuracy by 4.28 percentage points.
Preprint 2026
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DSAINet: An Efficient Dual-Scale Attentive Interaction Network for General EEG Decoding

Zhiyuan Ma#, Zeyuan Li#, Zihao Qiu#, Jinhao Li, Lingqin Meng, Xinche Zhang, Yixuan Liu, Xinke Shen†, Sen Song†

Paper GitHub Repo stars

  • We propose DSAINet, an efficient dual-scale attentive interaction network for general EEG decoding.
  • Comprehensive experiments across five EEG decoding tasks and ten public datasets show that DSAINet consistently outperforms 13 representative baselines under subject-independent evaluation, while maintaining the same architecture and architecture-related hyperparameters across datasets.

† denotes corresponding author and # denotes equal contribution.

🏆 Awards

  • 2026.10, Second-Class Comprehensive Excellence Scholarship, Tsinghua University.
  • 2025.6, 2025 Excellent Undergraduate Dissertation, Zhejiang University.

📖 Educations

  • 2025.08 - now, Ph.D. Student, Biomedical Engineering, Tsinghua University, Beijing, China.
  • 2021.08 - 2025.06, Undergraduate, Computer Science and Technology, Zhejiang University, Hangzhou, China.

🌏 Academic Service

Teaching

  • 2026 Fall, Teaching Assistant, Technology Innovation and Challenge 2C, Tsinghua University.
  • 2026 Spring, Teaching Assistant, Technology Innovation and Challenge 2C, Tsinghua University.
  • 2025 Fall, Teaching Assistant, Technology Innovation and Challenge 2C, Tsinghua University.
  • 2024 Fall, Teaching Assistant, Computer Organization, Zhejiang University.
  • 2024 Spring, Teaching Assistant, Computer Organization, Zhejiang University.

Journal Reviewer

  • IEEE Journal of Biomedical and Health Informatics
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering

Conference Reviewer

  • CogSci
  • ACM MMAsia