Qiao Xiang (向乔)
xmu dot edu dot cn /
qiao dot xiang dot xmu at
gmail dot com
"The Only Easy Day Was Yesterday." - Navy Seal
I am a faculty member in the
Department of Computer Science
School of Informatics,
Before joining XMU, I was a faculty in the
Department of Computer
I received my Master and PhD Degrees from the
Department of Computer Science at
Wayne State University in 2012 and 2014,
respectively, under the supervision of Dr.
Hongwei Zhang. I received
my Bachelor Degree in Information Security and Bachelor Degree in Economics from
Nankai University in
2007. Please see my CV (English,
Chinese) for more information.
I am broadly interested in computer systems and architecture, with a focus on
computer networks, formal methods in distributed systems, cyber-physical
systems and machine learning systems. I publish in top-tier system
conferences (e.g., SC, INFOCOM, AAAI and RTSS) and journals (e.g., ToN,
JSAC, and TMC). My work has been deployed or adopted by multiple
academic organizations and industry partners.
I am looking for self-motivated graduate students (on both Master and Ph.D.
level) for Fall 2021. If you are interested in working on exciting projects on
computer systems, please drop me an email.
06/2021 [Service]: I serve as the
2021, a top-tier
conference on software defined networking. Please consider submitting your work.
05/2021 [Service]: I serve on the
steering committee of
ACM/IEEE/AAAI CS202X Task Force. If you are interested in reshaping
the computer science curricula of the next decade, please drop
me an email.
04/2021 [Service]: I serve as the
publicity chair and a TPC member
SIGCOMM NAI Workshop
2021, a top-tier
venue for network-application integration. Please consider submitting your work.
04/2021 [Service]: I serve on the TPC
2022 (a CCF
A conference). Please consider submitting your work.
01/2021 [Service]: I serve on the TPC
2021 (a CCF
B conference). Please consider submitting your work.
12/2020 [Paper]: The paper
"Looking for the Maximal Independent Set: A New Perspective of Stable Path Problem" is accepted by
IEEE INFOCOM 2021 (a CCF
A conference). The
acceptance ratio is 19.9%.
11/2020 [Paper]: The paper
"Optimizing in the Dark: Learning Optimal Network Resource Reservation Through a Simple
Request Interface" is accepted by
IEEE/ACM Transactions on Networking
(ToN) (a CCF A journal).