Artificial Intelligence Panel 

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Artificial Intelligence Panel

Saturday April. 15 2017

1:40pm – 3:00pm

UC McConomy

“Artificial Intelligence is the intelligence exhibited by machines” and such intelligence has transformed every corner of our lives. From iPhone Siri to Snapchat image filters, from autonomous driving to DJI phantom, from Amazon Echo to security robots, we are living in an era of artificial intelligence. No matter who we are, entrepreneurs or scholars, students or white collars, we humans are all interested in gazing into the near future and savor the predictions that might bring benefits and inspirations. The goal of 2017 CMU Summit Artificial Intelligence Panel is: we will take you on a journey to gaze into the near future, a world submerged by computer science and mathematics, statistics and machine learning, logic and algorithms. 


  • Natural Language Processing 
  • Machine Learning Framework
  • Image Processing and Pattern Recognition


Eric P. Xing

Founder, CEO, and Chief Scientist, Petuum Inc.

Associate Department Head, Machine Learning

Eric P. Xing is a Professor of Computer Science at Carnegie Mellon University. He is currently the Associate Department Head of the Machine Learning Department, founding director of the Center for Machine Learning and Health at Carnegie Mellon University, and a Fellow of the Association of Advancement of Artificial Intelligence (AAAI Fellow). He completed his undergraduate study at Tsinghua University, and holds a PhD in Molecular Biology and Biochemistry from the State University of New Jersey, and a PhD in Computer Science from the University of California, Berkeley. His main research interests are the development of machine learning and statistical methodology, and large-scale computational system and architectures, for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in artificial, biological, and social systems. Prof. Xing currently holds or has held the following positions: associate editor of the Journal of the American Statistical Association (JASA), Annals of Applied Statistics (AOAS), IEEE Journal of Pattern Analysis and Machine Intelligence (PAMI) and the PLoS Journal of Computational Biology; action editor of the Machine Learning Journal (MLJ) and Journal of Machine Learning Research (JMLR); member of the United States Department of Defense Advanced Research Projects Agency (DARPA) Information Science and Technology (ISAT) advisory group. He is a recipient of the National Science Foundation (NSF) Career Award, the Alfred P. Sloan Research Fellowship in Computer Science, the United States Air Force Office of Scientific Research Young Investigator Award, the IBM Open Collaborative Research Faculty Award, as well as several best paper awards. Prof Xing is a board member of the International Machine Learning Society; in 2014, he served as the Program Chair of the International Conference of Machine Learning (ICML), and in 2019, he will serve as the General Chair of ICML.


Yong Zhao

Co-Founder, CEO & Chief Tech Executive

Dr. Yong Zhao is an entrepreneur and senior scientist on computer vision and computational photography. He received his PhD degree from Computer Engineering division of Brown University. Dr. Zhao founded DeepGlint at 2013 in Beijing. Currently he serves as founder and the chairman of the board of DeeGlint. DeepGlint is focusing on computer vision products for visual surveillance, autonomous driving and intelligent city. At the beginning of 2016, DeepGlint founded UISEE, with Gansha Wu, who was ex-Director of Intel LabsChina; and Jiangyan, who was the driverless cars team leader of Beijing Institute of Technology. Dr. Zhao is the chairman of the board in UISEE.

Prior to DeepGlint, Dr. Zhao was senior researcher of Google research lab at Mountain View, CA. During his tenure at Google, he was among a few engineers who co-created project Wingman, later renamed as Google Glass. He was also one of the primary contributors to the multimedia filter framework of Android OS, as well as the design of Google’s GPU datacenter for large scale image processing tasks.  

Mei-Yuh Hwang

Title: VP of Engineering, Mobvoi US LLC

Dr. Mei-Yuh Hwang obtained her PhD in Computer Science in 1993 from Carnegie Mellon University. She learned the core of speech recognition from Dr. Kai-Fu Lee and Dr. Raj Reddy. After graduation, she served at Microsoft Research, later Microsoft speech products, Bing Translation, and Chinese Cortana. Her publications cover speech recognition, machine translation, and language understanding in major conferences, IEEE journals, and U.S. patents. She joined Mobvoi in 2016 and is leading its R&D division in Redmond, WA.

Tuomas Sandholm

Professor at CMU CS Department.

Tuomas Sandholm is Professor at Carnegie Mellon University in the Computer Science Department. He is the Founder and Director of the Electronic Marketplaces Laboratory. He has published over 450 papers. He has 27 years of experience building optimization-powered electronic marketplaces, and has fielded several of his systems. His team won the AAAI 2016 Annual Computer Poker Competition Heads-Up No-Limit Texas Hold'em competition in both categories (total banroll and elimination).

Peng Xu

Peng Xu is currently a senior director of engineering at Ant Financial Services Group. Before 2017, he was a senior staff research scientist and Tech-lead/Manager at Google, working on natural language processing and machine learning for mobile ads quality, keyword quality in display ads, and machine translation. He made key contributions to the fast growth of, and to the first online deep learning model in display ads quality. He received his Ph.D. in 2005 from the Center for Language and Speech Processing in the Johns Hopkins University and his Diploma Engineering degrees (dual-major) in 1995 from Tsinghua University, China.