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He was the recipients of the Best Paper Award in KDD2016, the runner up of the Best KDD Dissertation Award in 2015, Dean’s Dissertation Award and the best paper shortlist of WSDM2013. He has published his research in highly ranked journals and top conference proceedings, which received thousands of citations and extensive media coverage.
We invite the entire Web Conference community to submit nominations for the Seoul Test of Time Award, which will be handed out at the Web Conference 2020 to be held in April 2020 in Taipei. The award will be given to a paper that has been published in the Web Conference series, formerly known as WWW.
His main research interests include machine learning and data mining. He has been selected to the Young Elite Scientists Sponsorship Program by China Association for Science and Technology in 2016, and won the CCF Outstanding Doctoral Dissertation Award in 2015, the KDD Best Poster Award in 2012, and the Microsoft Fellowship Award in 2011.
Dr. He is the recipient of the NSF CAREER Award, IBM Faculty Awards (three times) and IJCAI 2017 Early Career Spotlight. She has more than 90 publications at major conferences and journals (e.g., IJCAI, AAAI, KDD, ICML, NeurIPS, ICDM, TKDE, TKDD, DMKD). Her papers have been selected as Bests of the Conference by ICDM 2016, ICDM 2010, and SDM 2010.
Among more recent students, I am very impressed with Jure Leskovec, who just finished his PhD and got the best KDD dissertation award. Ajay- What does Gregory Piatetsky do for fun when he is not informing the world on analytics and knowledge discovery. Gregory-I enjoy travelling with my family, and in the summer I like biking and windsurfing.
With a paper acceptance rate of just 17% in the research track KDD is one of the most competitive conferences within the computer science and statistics community. What is even more remarkable about KDD is the noticeable integration of an Industry Government (IG) track with the Research track.. SIGKDD Doctoral Dissertation Award Runner Up.
My research in large-scale data mining and machine learning (ML) focuses on principled, interpretable, and scalable methods for discovering and summarizing the unknown unknowns in the world's data by leveraging the inherent connections within them. These connections are naturally modeled in networks or graphs, which in turn span every facet of our lives: email communication networks, knowledge.
His dissertation won the Dean Dissertation Award and was runner up of the KDD Best Dissertation Award, which is the prestigious worldwide award recognizing new PhD graduates in the field of data science. Tang is the 18 th faculty member in the College of Engineering to receive an NSF CAREER Award since 2010. NSF CAREER Awards support junior.