Min Li Ph.D & Professor Central South University, China. |
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HaiLong Pei Ph.D & Professor South China University of Technology, China. |
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AiGuo Wu Ph.D & Professor Harbin Institute of Technology Shenzhen Graduate School, China. |
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ZhuHong You Ph.D & Professor Northwestern Polytechnical University, China. |
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JianYang Zeng Ph.D & Professor Tsinghua University, China. |
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XiangXiang Zeng Ph.D & Professor Hunan University, China. |
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XingMing Zhao Ph.D & Professor Fudan University, China. |
De novo Genome Assembly and Enhancer-mediated Genome Topology Identification
Min Li
Ph.D & Professor
School of Computer Science and Engineering, Central South
University, China.
Bio-Sketch:Dr. Min Li is currently a Professor
and the vice dean at the School of Computer Science and
Engineering, Central South University, P. R. China. Her
research interests include algorithms for computational
biology and bioinformatics, mainly focus on algorithms
and tools in de novo genome assembly, biological
network analysis and protein bioinformatics, etc. She
has published more than 100 technical papers in
refereed journals such as Genome Research,
Bioinformatics, Briefings in Bioinformatics, and
IEEE/ACM Transactions on Computational Biology and
Bioinformatics, and conference proceedings such as
BIBM, GIW and ISBRA. According to Google scholar, her
paper citations is more than 6500 and H-index is 41.
Dr. Min Li is a member of ACM, a member of IEEE, and a
member of CCF. She is serving as the Editorial Board
Member or the Guest Editor of a number of refereed
journals such as IEEE/ACM Transactions on Computational
Biology and Bioinformatics, BMC Bioinformatics, BMC
Genomics, Neurocomputing, Interdisciplinary Sciences:
Computational Life Sciences and as the PC co-chairs of
several international conferences such as ISBRA 2021,
ISBRA2017, amd ICPCSEE2017.
Coastal Zone Aerial Perception with UAV
HaiLong Pei
Ph.D & Professor
Key Lab of Autonomous Systems and Networked Control,
South China University of Technology, China.
Bio-Sketch:HaiLong Pei received his Ph.D
degree from the South China University of
Technology , China in 1992, and Master and
Bachelor degrees from the Northwestern
Polytechnical University, China in 1989 and 1986,
respectively. Currently, he is a professor of
School of Automation Science and Engineering in
the South China University of Technology,
Director of the Key Lab of Autonomous Systems and
Networked Control, Ministry of Education, and
Director of the Unmanned Engineering Center of
Guangdong Province. He works on unmanned systems
and robotic control, and now serves as
editor-in-chief of the Journal of Control Theory
and Technology, as associate editor of
International Journal of Intelligent & Robotic
Systems, and as associate editor of Acta
Automatica Sinica.
From Matrix Equations to Conjugate Product
AiGuo Wu
Ph.D &
Professor
Harbin Institute of
Technology Shenzhen Graduate School, China
Bio-Sketch:Ai-Guo Wu was born in
Gong’an County, Hubei Province, P. R.
China on September 20, 1980. He received
his B.Eng degree in Automation in July
2002, M.Eng degree in Navigation,
Guidance and Control in July 2004 and PhD
degree in Control Science and Engineering
in Nov. 2008 all from Harbin Institute of
Technology. In Oct. 2008, he joined
Harbin Institute of Technology Shenzhen
Graduate School as an assistant
professor, and in August 2012 he was
promoted to a professor. From Jan. 2018,
he is a professor in Harbin Institute of
Technology, Shenzhen. Dr. Wu was a
Research Fellow with the Department of
Manufacturing Engineering and Engineering
Management, City University of Hong Kong
from March 2009 to March 2011. He was a
visiting professor with the Department of
Electrical, Electronic and Computer
Engineering of The University of Western
Australia, Australia from July 2013 to
July 2014.His research interests include
descriptor systems, conjugate product of
polynomials, switched system and robust
control. He has authored/co-authored one
English monograph and more than 70 SCI
journal papers. He received the National
Natural Science Award (Second Prize) in
2015 from P. R. China, and the National
Excellent Doctoral Dissertation Award in
2011 from the Academic Degrees Committee
of the State Council and the Ministry of
Education of P. R. China. He was
supported by the Program for New Century
Excellent Talents in University in 2011,
and by the National Natural Science
Foundation of China for Excellent Young
Scholars in 2018.Dr. Wu is a Reviewer for
American Mathematical Review from 2007.
He serves as a Regional Editor of
Nonlinear Dynamics and Systems Theory
from 2015, and an International Subject
Editor of Applied Mathematical Modelling
from 2017. He was an Outstanding Reviewer
for IEEE Transactions on Automatic
Control in 2010.
Graph Representation Learning to Predict Intermolecular Interactions on Large-Scale Heterogeneous Molecular Association Network
ZhuHong You
Ph.D & Professor
School of
Computer Sciences, Northwestern
Polytechnical University (NPU),
China.
Bio-Sketch:Dr. ZhuHong You
is a professor at the School of
Computer Sciences, Northwestern
Polytechnical University (NPU),
China. He received his Ph.D.
degree in control science and
engineering from University of
Science and Technology of China
(USTC), Hefei, China, in 2010.
From June 2008 to November 2009,
he was a visiting research fellow
at the Center of Biotechnology
and Information, Cornell
University. During 2013 and 2015,
he went to Hong Kong
Polytechnical University for
postdoctoral research. In July
2016, he joined the Xinjiang
Technical Institute of Physics
and Chemistry, Chinese Academy of
Sciences as the Recipient of
“Hundred Talents Program of CAS”.
He has published more than 260
research papers in refereed
journals and conferences in the
areas of pattern recognition,
bioinformatics, and
complex-network analysis. He
holds more than 10 patents. His
Google-scholar citation is more
than 8,000, and H-index is more
than 47. His current research
interests include neural
networks, intelligent information
processing, sparse
representation, and its
applications in bioinformatics.
He is recipient of China NSFC
Excellent Young Scholars Program
in 2018 and 2020.
Machine Intelligence for Drug Discovery
JianYang Zeng
Ph.D & Professor
Institute for
Interdisciplinary
Information Sciences,
Tsinghua University, China.
Bio-Sketch:Dr.
JianYang Zeng is an
Associate Professor with
Tenure at the Institute
for Interdisciplinary
Information Sciences,
Tsinghua University,
China. He received B.S.
and M.S. from Zhejiang
University in 1999 and
2002 respectively, and
Ph.D. in Computer Science
from Duke University in
2011. He has over 70
publications, including
those on Nature Machine
Intelligence, Nature
Communications, PNAS,
Cell Systems, and Nucleic
Acids Research. His
received multiple awards
for his research,
including ESI Highly
Cited Paper, Wuwenjun AI
Science and Technology
Award Third Prize for the
Natural Science track
2019, China’s Top Ten
Bioinformatics Advances
of 2019 and 2020, China’s
Top Ten Bioinformatics
Algorithms and
Instruments, World
Artificial Intelligence
Conference Youth
Outstanding Paper Award,
ICIBM Best Paper Award
2019, and PDCAT Best
Paper Award 2005. He is
an Associate Editor of
IEEE/ACM Transactions on
Computational Biology and
Bioinformatics and was on
the program committee of
top computational biology
conferences such as ISMB
and RECOMB.
Deep Graph Learning for Drug Discovery
XiangXiang
Zeng
Ph.D &
Professor
College of
Information Science
and Engineering,
Hunan University,
China.
Bio-Sketch:Prof.
Zeng is right now
a Yuelu
distinguished
Professor at the
College of
Information
Science and
Engineering,
Hunan University,
Changsha, China.
Before joining
Hunan University
in 2019, he
worked at the
Department of
Computer Science
in Xiamen
University. He
received his
Ph.D. degree in
system
engineering from
Huazhong
University of
Science and
Technology,
China, in 2011.
He has served as
a visiting
scholar in Harard
Medical School,
Indiana
University,
Chinese
University of
Hongkong, and
Oklahoma State
University. He
has published
more than 100
papers on
journals and
conferences such
as Nucleic Acids
Research,
Bioinformatics,
Chemical Science.
His research work
is relevant about
machine learning,
data mining,
computational
intelligence,
bioinformatics
and drug
discovery.
According to
google scholar
citation, his
research works
were cited more
than 5,000 times.
He received the
Wu Wenjun
Artificial
Intelligence
Excellent Youth
Award in 2019,
and the Amazon
AWS Machine
Learning Research
Award in 2020.
Exploring Brain and Brain Diseases via Multi-modal Omics and Imaging Data
XingMing
Zhao
Ph.D &
Professor,
IEEE Senior
member
Institute of
Science and
Technology
for Brain
Inspired
Intelligence,
Fudan
University,
China.
Bio-Sketch:XingMing
Zhao
received
his PhD
degree
from the
University
of
Science
and
Technology
of China.
Currently,
he is a
full
professor
at the
Institute
of
Science
and
Technology
for Brain
Inspired
Intelligence,
Fudan
University,
China,
and
serves as
a Vice
Director
of the
Key
Laboratory
of
Computational
Neuroscience
and
Brain-Inspired
Intelligence
(Fudan
University),
Ministry
of
Education,
China.
His
research
interests
include
data
mining
and
bioinformatics.
He has
published
more than
110
papers in
peer-reviewed
journals,
e.g. Cell
Metabolism
and
Nature
Communications.
He is the
senior
member of
IEEE,
Co-Chair
of IEEE
SMC
Technical
Committee
on
Systems
Biology
and
Vice-Chair
of ACM
SIGBIO
China. He
is also
the lead
guest
editor
and the
editorial
member of
several
journals,
e.g.
IEEE/ACM
TCBB,
Neurocomputing,
Journal
of
Theoretical
Biology,
IET
Systems
Biology,
and so
on.