Scholar
Nan Li
Google Scholar ID: UsJffDQAAAAJ
University of California, Santa Barbara
Citations & Impact
Citations
515
H-index
7
i10-index
7
Publications
20
Co-authors
11
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published several conference papers including 'A Probabilistic Approach to Uncovering Attributed Graph Anomalies' (2014 SIAM International Conference on Data Mining), 'gIceberg: towards iceberg analysis in large graphs' (2013 IEEE International Conference on Data Engineering), and 'Density index and proximity search in large graphs' (2012 ACM International Conference on Information and Knowledge Management). PhD dissertation titled 'Uncovering interesting attributed anomalies in large graphs'.
Research Experience
- Currently a Machine Learning Engineer on the Relevance & Personalization team at Airbnb, building deep neural models to improve Airbnb's homes search ranking. Previously, a Research Scientist on multiple ML teams at Facebook, working on conversational automation using NLP and statistical modeling, optimizing human labeling workflows using generative models and model-assisted sampling, and various other predictive modeling projects. Before Facebook, worked as a Data Scientist in the Applied Machine Learning group at Apple and on the Data Products and Research team at Upwork.
Education
- Received Ph.D. in Computer Science from University of California, Santa Barbara, where research was focused on data mining and applied ML. During studies, had internship opportunities at Microsoft Research (Cambridge, UK), IBM Research, and Microsoft Bing.
Background
- Research interests lie in the general topics of machine learning and data mining. Builds a variety of machine learning models to solve interesting data problems, such as learning embeddings, search and ranking, information retrieval and recommender systems, and natural language processing. In spare time, enjoys learning about neural networks and deep learning.
Miscellany
- Personal interests include learning about neural networks and deep learning. Contributed to several side projects on neural networks in spare time.
