Our work on leveraging optimization with mixed individual and social learning in cooperative group optimization (CGO) appears on Applied Soft Computing: “Cooperative group optimization with ants (CGO-AS): Leverage optimization with mixed individual and social learning,” Applied Soft Computing, vol. 50,
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). “An unsupervised learning approach for analyzing traffic
We presented our work on exploiting problem structure in combinatorial landscapes at the 25th International Joint Conference on Artificial Intelligence (IJCAI), New York. IJCAI is the premier conference bringing together the international AI community in communicating the advances and celebrating
We proposed an artificial intelligence (AI) application by exploiting search cues in combinatorial space. “Exploiting problem structure in combinatorial landscapes: A case study on pure mathematics application,” in International Joint Conference on Artificial Intelligence (IJCAI), New York, NY, 2016. @InProceedings{xie2016exploiting,
Our Co-Founder, Dr. Xie, is pleased to join the Program Committee Board for the First International Workshop on the Internet of Agents (IoA). Here is the CFP: On the confluence between Multi-Agent Systems (MAS) and the Internet of Things (IoT), there
Time series data analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series analysis can be widely applied in urban informatics. Using detrending techniques on time series data, short-term disruptions can
The unified route choice framework integrates route choice (RCS) and traffic control systems (TCS) to mitigate congestion in urban road networks for achieving sustainable urban mobility. Unified route choice framework: Specification and application to urban traffic control. Transportation Research Record: Journal of the
The work with the Polymath project was published on Algebra & Number Theory. D. H. J. Polymath. New equidistribution estimates of Zhang type. Algebra & Number Theory, 2014, 8(9): 2067-2199. [DOI] Polymath8a authors: Wouter Castryck, Etienne Fouvry, Gergely Harcos, Emmanuel Kowalski,
Machine learning (ML) techniques have been applied for different applications: – Density-based spatial clustering for analyzing user regularities based on their location-based checkins – Unsupervised learning for analyzing traffic impacts under arterial road closures – Exemplar-based support vector machines (SVM) for achieving real-time bus
The cooperative group optimization (CGO) system consists of a group of intelligent agents cooperating with their peers in a sharing environment for realizing a common intention of finding high-quality solution(s) based on the landscape representation of an optimization task. Numerical Optimization CGO has also
