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Research Excellence

Research Excellence

The Department is committed to conducting impactful multi-disciplinary research through recognising our strategic strengths and pooling talents. To further advance our research and spearhead innovative across disciplines, an array of initiatives which include strengthening international exposure and pursing international scholarly recognition, fostering a more open and supportive research culture, increasing engagement of multi-disciplinary research, recruiting and retaining high-caliber staff are well introduced.


The Department is proud to count among our faculty and they contribute fundamentally to our success.

1

Member of Academia Europaea

2

IAPR Fellows

3

IEEE Fellows

7

World’s Top 2% scholars according to Stanford University analysis 2020

Subject Rankings


#03

CS Citations in Hong Kong

#23

CS in Asia

#101-125

CS in World

Image
Source:THE World University Rankings

CSRankings


Aritifical Intelligence (2018-2020)

#3

Hong Kong

#25

Asia


#60

World


Databases* (2018-2020)

#3

Hong Kong


#10

Asia


#43

World

*including SIGMOD/VLDB/ICDE/PODS

Source: CSRankings

Funding

The Department has secured significant amount of research funds in the past 4 years. The funding solidifies our research strengths and recognises our efforts in creating impactful innovative research.

Funding Schemes 2017-2020
No. of Funded Project(s)
Collaborative Research Fund (CRF) 1
General Research Fund (GRF) 17
Early Career Scheme (ECS) 4
Research Impact Fund (RIF) 3
Innovation and Technology Fund (ITF) 1
National Natural Science Foundation of China (NSFC) 5
Others 7
Total   38

Editorships

Faculty Member Position Journal (in alphabetical order)
Dr. CHEN, Li Associate Editor ACM Transactions on Interactive Intelligent Systems (TiiS)
Prof. LIU, Jiming Associate Editor Big Data and Information Analytics (AIMS)
Prof. LIU, Jiming Associate Editor Computational Intelligence
Prof. CHU, Xiaowen Associate Editor IEEE Access
Prof. CHEUNG, Yiu Ming Associate Editor IEEE Transactions on Cybernetics
Prof. LIU, Jiming Associate Editor IEEE Transactions on Cybernetics
Prof. XU, Jianliang Associate Editor IEEE Transactions on Knowledge and Data Engineering (TKDE)
Prof. CHEUNG, Yiu Ming Associate Editor IEEE Transactions on Neural Networks and Learning Systems
Prof. CHEUNG, Yiu Ming Associate Editor International Journal of Pattern Recognition and Artificial Intelligence
Dr. CHEUNG, William Kwok Wai Associate Editor Journal of Health Informatics Research
Dr. CHEN, Li Editorial Board Member Journal of Intelligent Information Systems (JIIS)
Prof. NG, Joseph Kee Yin Associate Editor Journal of Systems Architecture, Elsevier
Prof. CHEUNG, Yiu Ming Associate Editor Knowledge and Information Systems
Prof. LIU, Jiming Associate Editor Network Modeling and Analysis in Health Informatics and Bioinformatics (Springer)
Prof. CHEUNG, Yiu Ming Associate Editor Neurocomputing
Prof. CHEUNG, Yiu Ming Editorial Board Member Pattern Recognition
Prof. YUEN, Pong Chi Editorial Board Member Pattern Recognition
Prof. XU, Jianliang Associate Editor Proceedings of VLDB Endowment (PVLDB)
Dr. LAN, Xiangyuan Associate Editor Signal, Image and Video Processing
Dr. CHEN, Jie Associate Editor The Visual Computer Journal, Springer
Dr. CHEN, Li Editorial Board Member User Modeling and User-Adapted Interaction: The Journal of Personalization Research (UMUAI)
Prof. LIU, Jiming Editor in Chief Web Intelligence Journal
Dr. CHEUNG, William Kwok Wai Track Editor Web Intelligence Journal

(Information as at 22 March 2021)

Supportive Research Facilities

The Department strongly believes that the significance of up-to-date research facilities as a pre-requisite for top research and teaching.  High-performance computing facilities, like FAT CPU, FAT GPU servers and GPU clusters are well equipped to enhance our research capabilities and meet ever-expanding research need on artificial intelligence and big data.


List of high-performance computing facilities:

(1) 4 FAT CPU servers

(2) 4 FAT GPU servers, each with 4 Nvidia V100 GPUs and 1TB RAM

(3) Four GPU clusters:
Cluster 1: 8 GPU nodes, each with two Nvidia Tesla K80
Cluster 2: 4 GPU nodes, each with two Nvidia Tesla P40
Cluster 3: 5 GPU nodes, each with four Nvidia Tesla V100
Cluster 4: 6 GPU nodes, each with four Nvidia Tesla V100

(4) One big-data cluster: 10 servers, each with dual 6-core Intel Xeon CPUs


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Department of Computer Science, Hong Kong Baptist University
Hong Kong Baptist University