Xiaodong Liu is a Principal Researcher in the Deep Learning Group at Microsoft Research AI with eight years of experience building large-scale multitask and deep learning systems. He progressed through research and engineering roles at Microsoft since 2014, contributing to distributed training tools and multitask models for query understanding and web search. Based in Bellevue, Washington, Xiaodong combines hands-on SDE experience with research leadership, bridging prototype model development and production-ready infrastructure. His work emphasizes scalable training on massive datasets and practical deployment considerations, reflecting a pragmatic researcher-engineer mindset. A thoughtful thinker—echoed by his Nietzsche-inspired GitHub bio—he brings intellectual curiosity to applied AI problems and long-running platform challenges.
Stochastic Answer Networks (SAN) for Machine Reading Comprehension
Contributions:44 commits, 1 PR, 19 pushes in 5 months
machine-readinganswercomprehensionstochasticsan
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