Gabriel Huang
Research Scientist
Adversarial Testing & Risk Evaluation
I am Gabriel (Buo-Xuan) Huang and I recently joined ServiceNow Research as a Research Scientist in the Trustworthiness and AI Governance Lab. I hold a PhD in machine learning from the Montreal Institute for Learning Algorithms (Mila), where I worked under the supervision of Simon Lacoste-Julien.
I am interested in generative learning, latent-variable models, structured prediction, optimal transport, weakly-supervised learning, reinforcement learning, convex optimization, music generation, and fundamental questions of optimization and statistical learning.
Previously I did the MVA Master’s degree in machine learning at École Normale Supérieure in Paris, in parallel with an engineer’s degree at École Centrale Paris (now CentraleSupélec). While I was doing my master’s, I worked for three years in the industry on computer vision and human activity recognition.
- Trustworthiness
- Low Supervision
- Natural Language Processing
- Large Language Models
- Dialog
- Computer Vision
- Self supervised learning
- Decission Making
- Databases
- Diffusion Models
- Human Machine Interaction Through Language
- Text2Structure
- Multi Step Reasoning
- Efficient Finetunning of Large Language Models
- Ethical Reasoning
- Explainability
- Security
- Safety