The following speakers have graciously accepted to give keynotes at AACL-IJCNLP 2020.
Percy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011). His two research goals are (i) to make machine learning more robust, fair, and interpretable; and (ii) to make computers easier to communicate with through natural language. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), and a Microsoft Research Faculty Fellowship (2014).
Song-Chun Zhu is a Professor of Statistics and Computer Science at the University of California at Los Angeles (UCLA). His research includes computer vision, statistical modeling and computing, machine learning, cognition, natural language and dialogue, AI, and robot autonomy. He leads the Center for Vision, Cognition, Learning and Autonomy (VCLA) at UCLA. He is a Fellow of the IEEE Computer Society, and a recipient of the Marr Prize for computer vision research and the J.K. Aggarwal Prize for pattern recognition research.