I am a Senior Research Scientist at Baidu Research, where I conduct research on Artificial Intelligence and Machine Learning. I'm particularly interested in computational models for narrative structures, including visual and textual information.

Story is a powerful tool for communication, an exhibit of creativity, and a timeless form of entertainment. Computational Narrative Intelligence (CNI) aims to create intelligent machines that can understand and create stories, manage interactive narratives, and respond appropriately to stories told to them. I have made contributions to all major areas of CNI, ranging from story generation and interactive narratives to human cognition, from learning story knowledge to story understanding. [My Google Scholar Page]

From 2015 to 2017, I was a Research Scientist at Disney Research, leading a group of postdocs and interns. Prior to that, I worked as a postdoc with Leon Sigal and Jill Lehman. In 2014, I obtained my Ph.D. degree from Georgia Institute of Technology, working with Mark Riedl.

[Hiring] I am looking for a motivated intern for research on vision + language and/or reinforcement learning. The position can start any time of the year. If you are interested, send me your CV.

[What's New]
Apr 2018: Released a preprint manuscript on learning representations for actors and estimating their versatility.
Feb 2018: Released the LREC 2018 paper, the annotation dataset, the talk on YouTube, and the annotation guidelines (v1.0).
Feb 2018: One paper accepted at CVPR 2018 as a spotlight presentation (~6.8% acceptance rate). Camera-ready and supplemental materials.
Jan 2018: One journal paper accepted at IEEE TAC.

moc.udiab@ilgnayob :liamE

Research Areas

Story Understanding

Acquiring Story Knowledge

Story Generation

Narrative and Cognition