Bo-Han Lai

賴柏翰

🙋🏻‍♂️ ML Researcher
Taipei, Taiwan

About Me

I am currently a Ph.D. student in the Department of Computer Science and Information Engineering at National Taiwan University, conducting research with Prof. Shang-Tse Chen in the AISLab.

I'm interested in understanding how machine learning models acquire, represent, and utilize knowledge about the world, with the ultimate goal of building trustworthy, high-performing ML/AI systems to benefit humanity.

Please feel free to get in touch if you’re interested in collaboration or discussion 🤝

News

  • Sep 2026One paper accepted to NeurIPS 2026!
  • Jun 2026Honored to receive the Hon Hai Technology Award.
  • Sep 2025Began my Ph.D. journey!
  • May 2025One paper accepted to ICML 2025 as a Spotlight!

Selected Publications

Robust Concept Unlearning in Diffusion Models via Directional Stability Regularization
Bo-Han Lai, 
Hsuan-Tien Lin, 
Chia-Mu Yu, 
Han Zhao, 
Shang-Tse Chen
NeurIPS 2026Sep 27th 2026
#Machine Unlearning
#Diffusion Models

We connect the robustness of concept unlearning in diffusion models to the stability of sampling dynamics and propose a training objective based on this analysis.

Robust Concept Unlearning in Diffusion Models via Directional Stability Regularization
Enhancing Certified Robustness via Block Reflector Orthgonal Layers & Logit Anealing Loss
Bo-Han Lai, 
Pin-Han Huang, 
Bo-Han Kung, 
Shang-Tse Chen
ICML 2025 (Spotlight)May 2nd 2025
#Adversarial Robustness
#Lipschitz networks

We propose a low-rank, efficient orthogonal layer and a margin-balancing loss function to construct effective and certifiably robust neural networks.

ArXiv
GitHub
Project Page
Enhancing Certified Robustness via Block Reflector Orthgonal Layers & Logit Anealing Loss

Research Interests

Robustness in Machine Learning
Privacy-preserving Deep Learning
Machine Unlearning
Modular Model Adaptation
Last updated Nov 8th 2026