On December 2, 2018, the Final Carnival Series of the 6thCCF Big Data & Computational Intelligence Contest 2018 came to an end in Shenyang City. The “Miracle” team, composed by graduate students Li Hang from grade 2016, Yu Wei, Chen Yu, Min Zijian from grade 2017 and Zhang Hao from grade 2018 of the X-Data Big Data Project Team of the Key Laboratory of Data Engineering and Visual Computing of CQUPT, based on the research foundation of machine learning and large-scale data mining, finally stood out from the world’s 1,458 teams, and won the first place in the preliminary race, the first place in the quarter-final and the second place in the finals of the “Supply Chain Demand Forecast”.
Founded by China Computer Federation in 2013, the CCF Big Data & Computational Intelligence Contest (CCF BDCI) is a top event in the field of big data and artificial intelligence algorithms and applications. The contest is aimed at the key application industry and actual demand in the field of big data and artificial intelligence. Guided by the frontier technology innovation and the breakthroughs of industry applications, it has gathered resources from the industry, university and research through the way of “common wisdom, crowd sourcing and public innovation”. The aim of this contest is to promote industrial technology upgrading and industry application innovation, and to discover and cultivate a large number of high-quality talents for the society.
This year’s CCF BDCI is under the guidance of Professional Teaching Steering Committee on Computer Science of Higher Education of Ministry of Education and Shenyang Municipal People’s Government, and hosted by China Computer Federation. It has attracted more than 1,000 enterprises and institutions and more than 1,000 colleges and universities from 35 countries and regions around the world, with a total of more than 17,600 participants, of which 7.5% are overseas contestants and 44% are ones with master degree or above.
Graduate students of our university win runner-up of 2018 CCF BDCI (Photo by School of Computer Science and Technology)