Hi, I'm Han
👨🏻💻 📊 🐶 🧬
Han Fang is a Research Scientist Manager at Meta AI, building generalizable AI to make the online community a safer place. Han's research interests include few-shot and zero-shot learning, multi-modal understanding, natural language processing, and model interpretability and explainability.
Han holds a PhD in Applied Mathematics and Statistics from Stony Brook University (2017). In his PhD, he developed a set of graphical and machine learning algorithms for large-scale genomics data. He is a recipient of the President’s Award to Distinguished Doctoral Students, the Woo-Jong Kim Dissertation Award, and the Excellence in Research Award.
Research @ Facebook
Harmful content can evolve quickly. Our new AI system adapts to tackle it
We’ve built and recently deployed a new AI technology called Few-Shot Learner (FSL) that can adapt to take action on new or evolving types of harmful content within weeks instead of months. It not only works in more than 100 languages, but it also learns from different kinds of data, such as images and text, and it can strengthen existing AI models that are already deployed to detect other types of harmful content.
Training AI to detect hate speech in the real world
We’ve built and deployed an innovative system called Reinforcement Integrity Optimizer (RIO). RIO is an end-to-end optimized reinforcement learning (RL) framework. It’s now used to optimize hate speech classifiers that automatically review all content uploaded to Facebook and Instagram.
Supporting economy recovery and vaccine distribution across the world
We develop the first micro-estimates of wealth and poverty that cover the populated surface of near 100 low and middle-income countries. Together with UC Berkeley, Facebook’s Data for Good team released the Relative Wealth Index data to support COVID-19 economic recovery and equitable vaccine distribution across the world using AI (paper).
AI advances to better detect hate speech
We have a responsibility to keep the people on our platforms safe, and dealing with hate speech is one of the most complex and important components of this work. To better protect people, we have AI tools to quickly — and often proactively — detect this content.
Tetris Planner: Optimizing Facebook Data Warehouse Data Placement
Facebook's data warehouse has 9+ data centers around the world, which hosts exabytes of data for analytics and machine learning. Planner was deployed to all Facebook's data centers and successfully rebalancing petabytes of data daily.