Dr. Langford is a Principal Research Scientist in Microsoft Corp. He is one of the founding members of Microsoft Research New York and a machine learning research scientist. He is the author of the webloghunch.net and the principal developer of Vowpal Wabbit. He was previously affiliated with Yahoo! Research, Toyota Technological Institute at Chicago, and IBM’s Watson Research Center.
He studied Physics and Computer Science at the California Institute of Technology, earning a double bachelor’s degree in 1997, and received his Ph.D. in Computer Science from Carnegie Mellon University in 2002. He was the program co-chair for the 2012 International Conference on Machine Learning.
Cong Yu is a Research Scientist at Google AI in New York City and leads the Structured Data research group. The group’s mission is to understand and leverage structured data on the Web and use AI technologies to enhance user experience for Google products. The group led several impactful products and features such as WebTables, Structured Snippets and Fact Checking at Google. Cong is passionate about the health of the news ecosystem and has been partnering with journalists and policy advisors to combat online misinformation and polarization with the goal of helping Google users be more informed. His research interests are structured data exploration and mining, computational journalism, applied machine learning, and scalable data analysis. He was a keynote speaker at VLDB 2018 and twice served as Program Co-Chair for VLDB. Outside of Google, he periodically teaches at NYU Courant’s Department of Computer Science. Before Google, Cong was a Research Scientist at Yahoo! Research. He has a PhD from University of Michigan, Ann Arbor, advised by Prof. H.V. Jagadish.
Speech Topic:
Overview of AI at Google
Abstract: Artificial Intelligence and Machine Learning are transforming technologies, including those at Google. In this talk, I will give a high level overview of AI/ML efforts at Google.
Dr. Yefeng Zheng received B.E. and M.E. degrees from Tsinghua University, China, and a Ph.D. degree from University of Maryland, USA. He is Director of Medical AI at Tencent, leading a team working on medical image analysis. Before that, he was Principal Key Expert at Siemens Healthineers. He has published 100+ papers，invented 70+ patents，and received several awards (including Thomas A. Edison Patent Award and Techno-College Innovation Award of European Association for Cardio-Thoracic Surgery). He is a Fellow of American Institute of Medical and Biological Engineering and an Associate Editor of IEEE Journal of Biomedical and Health Informatics.
Speech Topic：
Tencent AIMIS: AI-Powered Diagnostic Medical Imaging System
Abstract：
After achieving great success in social networking, Tencent proposed the “Internet Plus” initiative with the goal to revolutionize traditional industries (e.g., healthcare) with the latest IT technologies. In this talk, I will first give a brief overview of the eco-system Tencent is building to reshape the healthcare system of China. I will then focus on Tencent’s AIMIS product (called Miying in Chinese), an AI-powered diagnostic medical imaging system. Leveraging the latest deep learning technologies and large physician-annotated training sets, on many tasks, we have already achieved diagnosis accuracy on par with senior medical doctors from top tier hospitals.