Page 128 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 4 – AI and machine learning solutions in 5G and future networks

ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 4

[19] Vladimir N Vapnik, “An overview of statistical learn‑ Lu Jiaxing is a Ph.D student at
ing theory,” IEEE transactions on neural networks, the Graduate School of Interdis‑
vol. 10, no. 5, pp. 988–999, 1999. ciplinary Information Studies
(GSII), the University of Tokyo.
[20] Alex J Smola and Bernhard Schö lkopf, “A tutorial on
support vector regression,” Statistics and His research interests include
computing, vol. 14, no. 3, pp. 199–222, 2004. federated learning and edge
computing.
[21] Nello Cristianini, John Shawe‑Taylor, et al., An
introduction to support vector machines and other
Ping Du received a Ph.D. from
kernel‑based learning methods, Cambridge univer‑
the Graduate University for
sity press, 2000.
Advanced Studies in Japan in
[22] Stanislaw Osowski, Krzysztof Siwek, and Tomasz 2007. From 2008, he worked
Markiewicz, “Mlp and svm networks‑a comparative for the National Institute of
study,” in Proceedings of the 6th Nordic Signal Pro‑ Information and Communication
cessing Symposium, 2004. NORSIG 2004. IEEE, 2004, Technologies (NICT) of Japan.
pp. 37–40. Now, he works for the University
of Tokyo as a project associate professor. His research
[23] Tin Kam Ho et al., “Proceedings of 3rd international
interests include optical networks, network security,
conference on document analysis and recognition,”
in IEEE, 1995, pp. 278–282. network virtualization, mobile networks and machine
learning etc.
[24] Carolin Strobl, Anne‑Laure Boulesteix, Achim
Zeileis, and Torsten Hothorn, “Bias in random Akihiro Nakao received his BS
forest variable importance measures: Illustrations, in physics and ME in informa‑
sources and a solution,” BMC bioinformatics, vol. 8, tion engineering from the Uni‑
no. 1, pp. 1–21, 2007. versity of Tokyo. He worked at
IBM Yamato Laboratory, Tokyo
Research Laboratory, and IBM
Texas Austin. He received his
AUTHORS
MS and PhD in computer science
Xia Fei is currently a master from Princeton University. Since 2005, he has been an
student at the Graduate School associate professor and then a professor in applied com‑
of Interdisciplinary Information puter science at the Interfaculty Initiative in Information
Studies (GSII), the University of (III) Studies, Graduate School of Interdisciplinary Infor‑
Tokyo. His research work focuses mation Studies, the University of Tokyo. Now, he is a pro‑
on practical approaches to the AI fessor in Faculty of Engineering, University of Tokyo. He
system. He is interested in doing has been appointed Chairman of the 5G Mobile Network
research in network fault detection, Promotion Forum (5GMF) Network Architecture Com‑
data analysis, and machine learning. mittee by the Japanese government.

Aerman Tuerxun received his
B.Eng of Information Security
from the University of Science
and Technology of China and is
currently pursuing his master
degree at the Graduate School
of Interdisciplinary Information
Studies (GSII), the University of
Tokyo. His research interests include local 5G, network
slicing, network intelligence etc.

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