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Prof.
SHEN's Group
Distributed
Artificial Intelligence Laboratory, ERC-FCDE, MoE
School of Mathematics, Renmin
University of China
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About us: Distributed Artificial Intelligence Lab (DAI-Lab)
The
Distributed Artificial Intelligence Lab (DAI-Lab) was established at
the beginning of 2020. The lab consists of three faculties, Prof. Dong
Shen, Assoc. Prof. Hao Jiang and Assoc. Prof. Qijiang Song, 1 Postdoctor, 4 PhD candidates, and 14 Master
candidates. The laboratory focuses on distributed artificial intelligence
and its application in novel intelligent control approaches.
Latest
News
Recent Research Highlight: Learning Control with Fading Channels
Our
recent focus is learning control with fading channels. A fading channel
indicates the unreliable communication network that the transmitted
signal would suffer multiplicative randomness. Such randomness is
generally modeled by a random variable with its expectation away from
1; thus, the received signal is usually biased in the sense that its
expectation is not the original signal. Consequently, a correction is
necessary for the received signal before the following procedures. The
primary issue in this direction is how to correct the received signals.
If the statistics information (especially the mean) of the fading channel is known,
a direct correction can be made by multiplying the mean inverse to the
received signals. The design and analysis are given in [TSMC: Syst-2021].
We notice that the corrected input is involved with large disturbances,
which may significantly affect the dynamics of the plant. To address
this issue, we proposed an iteration domain moving averaging operator
for the received inputs. The results are elaborated in [TNNLS-2020].
Motivated by the averaging idea, we proceed to investigate how the
averaging techniques affect the learning and tracking abilities of a
conventional learning scheme, where the learning ability is reflected
by the convergence rate and tracking ability is reflected by the final
tracking precision. To this end, we studied three specific averaging
techniques, namely, moving averaging, general average with all
historical information, and forgetting-based average. The results
demonstrate that the forgetting-based average operator-based scheme can
connect the other two schemes by tuning the forgetting factor. The
results are provided in [TAC-2021].
If the statistics information is unknown, a promising approach is to estimate the mean of the fading channel. This idea is conducted in [TNNLS-2021a],
where an iterative estimation mechanism is proposed using a unit pilot
signal in each iteration. This mechanism provides necessary statistical
information such that the biased signals after transmission can be
corrected before being utilized.
All the above advances assume that the system information is available for the control design. If both system information and fading statistics are unknown,
a natural idea is to estimate them simulatenously. To this end, we
propose an error transmission mode and an iterative gradient estimation
method. Using the faded tracking error data only, the gradient for
updating input is iteratively estimated by a random difference
technique along the iteration axis. This gradient acts as the updating
term of the control signal. The results are summarized in [TNNLS-2021b].
Annual
Reports
Annual Report 2020 (pdf, 12M, by
request) A lite version (pdf, 0.7M)
Annual
Report 2019 (pdf, 38M, by request) A lite
version (pdf, 0.4M)
Annual
Report 2018 (pdf, 28M, by request) A lite
version (pdf, 1M)
Annual
Report 2017 (pdf, 17M, by request) A lite
version (pdf, 1M)
Lab Director: Prof. Dong Shen

Research
Interests: Iterative
learning control, machine learning and its applications, financial
mathematics and fintech, stochastic
approximation algorithms,
multi-agent systems, distributed
and decentralized optimization algorithms.
Contact Information
Office
Address:
Room 207, No. 4
Teaching Building, Renmin University of China, No. 59
Zhongguancun Street, Haidian District, Beijing 100872
Mailing
Address:
School of
Mathematics, Renmin University of
China,
No. 59 Zhongguancun Street, Beijing 100872, P.R. China
Tel: 86-10-82507078
E-mail: dshen [at] ieee [dot] org
Education
2005.09-2010.07,
Ph.D. in Mathematics, Academy of Mathematics and Systems Sciences,
Chinese Academy of Sciences
2001.09-2005.07, B.S. in Mathematics, School of Mathematics, Shandong
University
Professional
Positions
2019.12-present,
Professor, School of Mathematics, Renmin University of China
2020.10-present, Head, Department of Information and Computation
Sciences, School of Mathematics, RUC
2019.12-present, Principal Investigator, Eng. Res. Center of Finance
Computation and Digital Engineering, Ministry of Education
2020.01-present, Director, Distributed Artificial Intelligence Lab.,
ERC-FCDE, MoE
2019.07-2019.08, Visiting Scholar, RMIT University, Australia
2018.01-2019.12,
Professor, Beijing University of Chemical Technology
2012.06-2017.12,
Associate Professor, Beijing University of Chemical Technology
2016.02-2017.02, Visiting Scholar, National University of Singapore,
Singapore
2010.07-2012.05, Postdoctoral Fellow, Institute of Automation, CAS

Short Biography
Dong
SHEN (M'10-SM'17) received the B.S. degree in mathematics from
Shandong University,
Jinan, China, in 2005. He received the Ph.D. degree in mathematics from
the
Academy of
Mathematics and Systems Science,
Chinese Academy of Sciences (CAS), Beijing, China,
in 2010 (supervised by Prof.
Han-Fu
Chen, IEEE Fellow, IFAC Fellow).
From 2010 to 2012, he was a Post-Doctoral Fellow with the
Institute of Automation,
CAS (advised by Prof.
Fei-Yue Wang, IEEE Fellow, IFAC Fellow). From 2016
to 2017, he was a visiting scholar at National University of Singapore
(with Prof.
Jian-Xin Xu, IEEE Fellow). From 2019 July to
August, he was a visiting scholar at RMIT University (with Prof.
Xinghuo Yu, IEEE Fellow). From 2012 to 2019, he
has been
with
College of
Information Science and Technology,
Beijing University of
Chemical Technology, Beijing, China. Now, he is a Full
Professor of Renmin University of China.
His current research interests include iterative learning control,
stochastic control and optimization, machine learning and its
applications. He has published more than
120
refereed journal and conference papers. He is the (co-)author of
Iterative Learning Control
for Systems with Iteration-Varying Trial
Lengths (Springer, 2019),
Iterative
Learning Control with Passive Incomplete Information (Springer,
2018),
Iterative Learning
Control for Multi-Agent Systems Coordination (Wiley, 2017), and
Stochastic Iterative Learning
Control (Science Press, 2016, in Chinese), and co-editor of
Service Science, Management
and Engineering: Theory and Applications (Academic Press and
Zhejiang University Press, 2012). Dr. Shen received the
IEEE
CSS Beijing Chapter Young Author Prize in 2014 and the Wentsun Wu
Artificial Intelligence Science and Technology Progress Award in 2012.
He is an Associate Editor of IEEE
Access
and IET Cyber-Systems and Robotics.

Photos
2019
At Guizhou
University, with Prof. Xisheng Dai and Prof. Deyuan Meng, in front of
the library
At Nankai
University, with Prof. Yuanhua Ni, Prof. Wenxiao Zhao, and Prof.
Zengqiang
Chen (from left)
At Shandong
University, with Prof. Yan Li and his students
At Beihang
University, with Prof Jinhu Lv, Prof. Xinghuo Yu, Prof. Hong Li, Prof.
Nian Liu (from left)
2018
At Qingdao University
of Science and Technology
At Xidian Univerisyt
with Prof. Junmin Li, Prof. Xiao'e Ruan, and Prof. Zhengrong Xiang
At Beihang University with
Prof. Kevin L. Moore and Prof. Deyuan Meng
At a seaside
in Tsingtao with Prof. Deqing Huang (during the 2nd ILC-TableParty 0724)
At DDCLS18 in
Enshi with my master students: Mr. Chao Zhang and Mr. Chen Liu
At Whampoa Military
Academy, Guangzhou
2017
IEEE
Senior Member Certificate
With Koala in
Currumbin Widelife Sanctuary, Gold Coast, Australia
IEEE
Senior Membership Card
At Great Wild
Goose Pagoda in
Xi'an
With Miss Yun Xu
celebrating her
graduation
At DDCLS17
in Chongqing with
my master students: Miss Chun Zeng and Mr. Chao Zhang
2016
on Alumni Day at NUS
2014
Mt. Tai-A Mt. Tai-B
2005
Bachelor
Transcript
Receiving
President Scholarship from President Tao ZHAN of Shandong University
Letter of
Admission from Graduate University of Chinese Academy of Sciences