Manxing Du

Manxing Du

Doctoral researcher

Fakultät oder Zentrum Interdisciplinary Centre for Security, Reliability and Trust
Forschungseinheit SnT
Postadresse Université du Luxembourg
29, avenue JF Kennedy
L-1855 Luxembourg
Büroadresse JFK Building, E02-215
E-Mail
Telefon (+352) 46 66 44 5117
Fax (+352) 46 66 44 35117

Manxing joined SnT as a PhD student in November 2015 under the supervision of Dr. Radu State. She is conducting her research on self-learning algorithms design, implementation, and optimization for Real Time Bidding (RTB) system. Her research interests include machine learning, real time data mining, and their implementations in computational advertising. Before joining SnT, she was a research engineer in Acreo Swedish ICT and received her M.Sc degree in communication systems from the Royal institute of Technology (KTH) in Sweden.

Last updated on: Dienstag, den 29. Dezember 2015

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2019

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See detailTime Series Modeling of Market Price in Real-Time Bidding
Du, Manxing; Hammerschmidt, Christian; Varisteas, Georgios; State, Radu; Brorsson, Mats Hakan; Zhang, Zhu

in 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2019, April)

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2017

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See detailImproving Real-Time Bidding Using a Constrained Markov Decision Process
Du, Manxing; Sassioui, Redouane; Varisteas, Georgios; State, Radu; Brorsson, Mats; Cherkaoui, Omar

in Proceedings of the 13th International Conference on Advanced Data Mining and Applications (2017, November)

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See detailThe Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study
Glauner, Patrick; Du, Manxing; Paraschiv, Victor; Boytsov, Andrey; Lopez Andrade, Isabel; Meira, Jorge Augusto; Valtchev, Petko; State, Radu

in Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017) (2017)

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2016

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See detailBehavior Profiling for Mobile Advertising
Du, Manxing; State, Radu; Brorsson, Mats; Avanesov, Tigran

in Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (2016, December)

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