Tianshi Gao

Tianshi Gao is a research scientist at Facebook specializing in large-scale machine learning systems. He earned his Ph.D. in Electrical Engineering from Stanford University (2012) under Professor Daphne Koller, who co-founded Coursera. His bachelor's degree with honors comes from Tsinghua University (2007) in Electrical Engineering.

Research Interests:

• Machine learning algorithms for computer vision and big data
• Hierarchical classification and few-shot learning
• Object detection with occlusion handling
• Cooperative systems in transportation and wireless communication
• Active learning and discriminative modeling
• Applications of output coding in multiclass boosting

Publication Trends: His work from 2007-2012 spans computer vision, machine learning, and transportation systems. Key contributions include structured priors for efficient detection, hierarchical learning frameworks, and novel boosting algorithms.

Scientific Awards:

• Best Poster Runner-up Award at CVPR 2011 Workshop

Professional Service: He has served as a reviewer for top-tier journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and Neural Information Processing Systems, plus organizing the Neural Information Processing Systems Workshop on Probabilistic Models for Big Data in 2013.