Experience

Research & Industry Experience

ZERO Lab, Peking University

Beijing, P. R. China     05/2024 – 09/2024

Visiting Student     Advisor: Zhouchen Lin

• AdaMSS: Adaptive Multi-Subspace Approach for Parameter-Efficient Fine-Tuning
  Analysis and Application of Multi-Subspace Distribution of Weight Matrices; Lowest-Rank Representation; Stronger Theoretical Generalization Guarantee; Multi-Subspace-Based Adaptive Budget Allocation. Improves average accuracy by +4.7% on ViT-Large across seven image classification datasets and by +6.9% on GSM8K with LLaMA 2-7B, while requiring only 15.35% and 1.25% of the trainable parameters, respectively, compared to LoRA.

Nasdaq

St. John’s, NL, Canada     05/2022 – 09/2022

Research Intern     Advisor: John Hawkin

• Unsupervised Financial Fraud Detection Using Low-rank Recovery
  Outlier Pursuit (OP) and Non-convex Variants; Unsupervised Financial Fraud Detection.

Entrepreneurship Experience

GradientX

Vancouver, Canada     2025 – Present

Co-Founder

• GradientX is building the next generation of personalized financial intelligence.
• Selected for Lab2market Validate Program, 2025 (Funded with $10,000)