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Chengqi
ZHANG （张成奇） Chair
Professor of AI （人工智能讲座教授） Director of
HK PolyU Shenzhen
Research Institute （香港理工大学深圳研究院 院长) BSc (Fudan U), MSc (Jilin U), PhD (Queensland U) DSc（Deakin U） |
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Research Areas: Distributed Artificial Intelligence Data Mining Graph neural networks Time series analysis Employment: Prof Chengqi Zhang had joined the Department of Data
Science and Artificial Intelligence at The Hong Kong Polytechnic University (PolyU) as a Chair
Professor of Artificial Intelligence in September 2024. He had been appointed as the Director of HK PolyU Shenzhen Research Institute from 1 January 2025. He had been appointed as a Pro Vice-Chancellor (China Enterprise) on
1 December 2017 till 10 September 2024 at the University of Technology Sydney
(UTS), a Distinguished Professor on 27 February 2017 till 2024 at UTS, and a
Research Professor of Information Technology from 14 December 2001 at UTS. Before 2001, he was an Associate Professor from
January 1999 to December 2001 at Deakin University, an Associate Professor from
January 1998 to January 1999 at the University of New England (UNE), a Senior
Lecturer from January 1994 to January 1998 at UNE, and a Lecturer from January
1990 to January 1994 at UNE. In addition, he had been appointed as an Adjunct Professor from 20 March
2017 till 20 March 2020 at University of New South Wales (UNSW) and as a Honorary Professor
from 1 March 2015 to 31 December 2017 at University of Queensland (UQ). Education: Prof. Zhang obtained his Bachelor's
degree from Fudan University in March 1982 in Computer Science, Master's degree by research from Jilin University in March
1985 in Artificial Intelligence, PhD degree from The University of Queensland
in October 1991 in Artificial Intelligence, followed by a Doctor of Science
(DSc – Higher Doctorate) from Deakin University in October 2002 in Artificial
Intelligence. Achievements: He has achieved outstanding research
results and provided excellent leadership during his academic career. His research
interests mainly focus on Distributed Artificial Intelligence Data Mining, Graph
Neural Networks, and Time Series Analysis. A prolific contributor to his field, Professor Zhang has published
over 400 scholarly articles, including a number of
papers in first-class international journals, such as Artificial
Intelligence, IEEE, and ACM Transactions. As per Google Scholar, his body of
work has attracted more than 46,000+ citations, in which the citations of one
paper is more than 14,000, and an H-index of 79 (on 24/01/2026).
He has supervised 39 PhD students as the principal supervisor, a notable 11
of whom have ascended to full professorships. He has been a sought-after
keynote speaker at 38 international conferences. His dedication earned him
the NSW Science and Engineering Award (2011) and the Vice-Chancellor's Award
for Outstanding Research in Leadership at UTS (2011). He was also awarded the
2021 IEEE International Conference on Data Mining (ICDM) Outstanding Service
Award.
Leaderships: On 16 April
2008, he accepted a position as the founding Director of the UTS Priority Researchh Centre for Quantum Computation &
Intelligent Systems (QCIS) till 2 January 2017. Under hiss
leadership, the Centre has attracted research funding in
excess of $16.9 million from the Australian Research Council (ARC) and
industries and attracted ten ARC Future Fellowships and five ARC DECRAs
awards. QCIS has become the strongest
IT research centre among Australian Universities. Inn consequence, QCIS has
helped UTS Computer Science to be ranked among the top 100 universities byy QS 2021, and No. 17 worldwide based on Shanghai JiaoTong University’s academic rankings in 20211 QCIS has
established five joint research centres with Tsinghua University, Shanghai JiaoTongg University, Huazhong University of Science and
Technology, Beijing Institute of Technology, and thee
Chinese Academy of Sciences. QCIS has spin-off into two new research centres
in 2017 as Centre forr Quantum Software and
Information (CQSI) and the Centre for Artificial Intelligence (CAI). Professor Zhang
has been recently appointed as the Director of HK PolyU
Shenzhen Researchh Institute. He plays the important role as a leader. Professional: Prof. Zhang is a Fellow of the Institute of
Electrical and Electronics Engineers (IEEE) and a Fellow of the
Australian Computer Society (ACS). Additionally, he served in the ARC College
of Experts from 2012 to 2014. He had been elected as the founding Chair of
the Steering Committee of the International Conference on Knowledge Science,
Engineering, and Management between 2006 and 2014. He has been serving as an
Associate Editor for international journals, including IEEE Transactions on
Knowledge and Data Engineering from 2005 to 2008; and he served as General
Chair for a number of international Conferences including ICDM 2010, KDD 2015 and IJCAI 2024.
He was appointed as the first IJCAI
Sponsorship Officer from 2018 to 2023. In addition, he has been elected as
the Chairman of the Australian Computer Society National Committee for
Artificial Intelligence between November in 2005 and November 2025, and he
has been elected as the Chairman of IEEE Computer Society Technical Committee
of Intelligent Informatics (TCII) from June 2014 to June 2018. Furthermore, he
has been invited to be the judge of IJCAI award committee from 2021 to 2023
and the judge of MIT Technology Review Innovators Under 35 – TR35 from 2021
to 2025 for China and Asia-Pacific regions. |
Selective Publications and
Citations:
PhD
opportunities:
If you believe that you are an excellent PhD candidate
in AI related research area, and you are interested in to
pursuit PhD study under my supervision, please feel free to send me your CV and
research proposal.
Hobbies:
Professor
Zhang spent over 50 years developing the unique method of "Magic Multiplication"
and authored the book of the same name. This book revolutionizes traditional
methods of squaring, multiplication, and square root calculations. The Chinese
edition 《魔数乘法》has been published in two editions, and the English
edition has been published once. Academician Lu Ruqian
refers to it as the "Zhang Chengqi Speed Calculation Algorithm" or
"Zhang Chengqi Thinking Training Method." Academician Tang Tao
believes that "Magic Multiplication" can cultivate interest in
primary and secondary school students, driving them through hobbies to
naturally become close to numbers and enjoy mathematics. This book is expected
to have a significant impact on mathematics education in Chinese primary and
secondary schools.
Contact
information:
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Room AG413 Department
of Data Science and Artificial Intelligence The Hong
Kong Polytechnic University, |