Our work on leveraging optimization with mixed individual and social learning in CGO appears on Applied Soft Computing. You can free access to the article through this link. X.-F. Xie, Z.-J. Wang. Cooperative group optimization with ants (CGO-AS): Leverage optimization with mixed individual and social learning. Applied Soft Computing, 2017, 50: 223-234. [DOI] We present CGO-AS, a generalized Ant System (AS) implemented in the framework of Coopera
The work on analyzing traffic impacts under arterial road closures using machine learning techniques on traffic flow data was published online on Journal of Transportation Engineering by American Society of Civil Engineers (ASCE). Y. Gu, Z. S. Qian, X.-F. Xie, et al. An unsupervised learning approach for analyzing traffic impacts under arterial road closures: Case study of East Liberty in Pittsburgh. Journal of Transportation Engineering ASCE, 20
We presented our work on exploiting problem structure in combinatorial landscapes at the 25th International Joint Conference on Artificial Intelligence (IJCAI), New York. X.-F. Xie, Z.-J. Wang. Exploiting problem structure in combinatorial landscapes: A case study on pure mathematics application. International Joint Conference on Artificial Intelligence (IJCAI), New York, NY, USA, 2016: 2683-2689. IJCAI is the premier conference bringing togeth
As the lead inventor, granted the U.S. patent for the smart and scalable urban traffic control system. X.-F. Xie, et al. Smart and Scalable Urban Signal Networks: Methods and Systems for Adaptive Traffic Signal Control. U.S. Patent, No. 9,159,229, 2015. Scalable urban traffic control (surtrac) system has been developed to address current challenges and offers a new approach to real-time, adaptive control of traffic signal networks. The methods an
The Polymath8 participants was featured on the June/July cover of Notices of the American Mathematical Society, the world’s most widely read mathematical journal. The photographs on the cover portray thirteen of the fifteen people, including a team of top mathematicians and Dr. Xie, as being primary participants of the Polymath8 project that improved dramatically the bound of prime gaps, based on the stunning work of Dr. Yitang Zhang. Read
During January 11-14, we presented our work on understanding and improving urban mobility at the Transportation Research Board (TRB) 94th Annual Meeting in the Walter E. Washington Convention Center, Washington, DC. An empirical study of combining participatory and physical sensing to better understand and improve urban mobility networks. Transportation Research Board (TRB) Annual Meeting, Washington, DC, USA, 2015. An unsupervised learning appro
The smart and scalable urban traffic control system (invented by Xie, et al.) is listed in 25 Great Things about Computer Science at Carnegie Mellon University. What’s so great about computer science at Carnegie Mellon? We’re glad you asked! Here are 25 great ideas from CMU computer scientists to think about as we celebrate the birthday of the School of Computer Science. 1. Artificial intelligence, 1955-56 … 12. JAVA, 1991 … 25. Smart, adapta
New traffic signal technology is coming to the city’s Baum-Centre corridor that extends Pittsburgh’s leadership in commuter, pedestrian and environmentally friendly traffic research, Mayor William Peduto announced today. The city is extending its cutting-edge system of real-time traffic signals that adapt instantly to shifting traffic conditions. A new $1.8 million pilot project will further test and strengthen the Pittsburgh system, providing fi
This work with the Polymath8 project was to find narrow gaps between primes. … Mal steuerte Xiao-Feng Xie einen Vorschlag bei, ein Robotikexperte aus Pittsburgh. Mal meldete sich Terence Tao aus Los Angeles, den einige für den brillantesten aller lebenden Mathematiker halten. Wieder andere Anregungen kamen von einem Anonymus, der sich nur als v08ltu zu erkennen gab. … Read more at Der Spiegel (web | pdf).
Presented the work on tackling real-world changes and the integration with a unified route choice framework for the smart and scalable urban traffic control system at the Transportation Research Board (TRB) Annual Meeting, Washington, DC.