About Me

Hello! I am Yikai Si.

I am an undergraduate student in the Zhiyuan Honors Program (Physics Track) at Shanghai Jiao Tong University, currently studying computational neuroscience under the supervision of Prof. Shanshan Qin. In fall 2027, I will begin my Ph.D. studies under the supervision of Dr. Liu Ziyin.

Research Interest

My research interests span computational neuroscience and deep learning theory, especially representation, training dynamics, and generalization in artificial and biological neural systems.

Education

• Shanghai Jiao Tong University (2023 - 2027, Expected)
  • B.S. in Physics
  • Zhiyuan Honors Program

Academic Papers

• Continual-learning rules shape representational drift — Yikai Si and Shanshan Qin. arXiv:2608.16141, 2026. arXiv

Research Experience

• Representational Drift of Artificial Neural Networks under Continual Learning

  • Undergraduate Research Assistant, Computational Neuroscience Group

    Supervisor: Shanshan Qin

  • 2025.6 – Present
  • [GitHub]
  • Built sequential-task benchmarks in PyTorch and compared fine-tuning, experience replay, and EWC.
  • Measured layer-wise representational drift on fixed probes to study how learning rules affect forgetting and representation change.
• DCI-LLM: Multimodal Few-Shot Prediction for Double Cone Ignition Laser Fusion
  • Supervisor: Xiaohui Yuan, Jie Zhang
  • 2025.10 - 2026.1
  • Built a few-shot model combining laser power traces, diagnostic images, and text metadata to predict peak plasma density timing.
  • Used signal tokenization and cross-modal attention; evaluated against Transformer/LSTM and image-free baselines.

Honors and Awards

• Zhiyuan Honors Scholarship (2023, 2024, 2025)
  • Zhiyuan College, Shanghai Jiao Tong University
  • Awarded to students in the Honors Program with outstanding academic achievement.