Research Excellence

We are devoted to undertaking impactful disciplinary research, keeping up with the knowledge advancement and global development in computing and information technology over the past four decades.

Our strengths:

We have been recognised in various world university rankings, including 120 in Computer Science and Information Systems in the “QS World University Rankings” in 2021; 36th in Computer Science in the "Best Global Universities Rankings" released by the U.S. News & World Report 2021; and 41st in Computer Science & Engineering in the “Academic Ranking of World Universities (ARWU) 2020” released by Shanghai Jiao Tong University.
Among our dedicated team of academic staff, there are six IEEE Fellows, one IAPR Fellow, one IET/IEE Fellow, one Member of Academia Europaea, two ACM Distinguished Members and one SPIE Fellow.
Prof. Lei Zhang, our Chair Professor of Computer Vision and Image Analysis, is recognised on the list of “Highly Cited Researchers” for the fifth consecutive year from 2015 to 2020 by Clarivate Analytics for his exceptional research impact in the field of engineering. Prof. Zhang also ranks among the Top 1000 Scientists Ranking for Computer Science & Electronics 2020 by Guide2Research.
In the last five years, we have secured over 150 external competitive grants and consultancy projects, including 2 from Collaborative Research Fund (CRF), 3 from Research Impact Fund (RIF), 42 from General Research Fund (GRF), 14 from National Natural Science Foundation of China (NSFC), 13 from Innovation & Technology Fund (ITF), etc.
We categorise the strengths of our faculty members and research personnel into six clearly defined Research Groups of expertise in which they produce globally recognised research achievements such as publications in prestigious journals and research paper presented in the following top conferences.

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1. Artificial intelligence & robotics

The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)
Paper presented: Attributed Graph Clustering via Adaptive Graph Convolution

The 34th AAAI Conference on Artificial Intelligence (AAAI 2020)
Paper presented: Adversarial Deep Network Embedding for Cross-network Node Classification
2. cyber security & privacy

The 41st ACM/IEEE International Conference on Software Engineering (ICSE 2019)
Paper presented: Graph Embedding based Familial Analysis of Android Malware using Unsupervised Learning

The 26th ACM Conference on Computer and Communications Security (ACM CCS 2019)
Paper presented: Power Adjusting and Bribery Racing: Novel Mining Attacks in the Bitcoin System
3. Data Science, information retrieval & human-computer interaction

The 35th IEEE International Conference on Data Engineering (ICDE 2019)
Paper presented: Incorporating Latent Space Correlation Coefficients to Collaborative Filtering

The 27th ACM International Conference on Multimedia (ACM-MM 2019)
Paper presented: Moment-to-Moment Detection of Internal Thought during Video Viewing from Eye Vergence
4. fundamentals & software

The 41st ACM/IEEE International Conference on Software Engineering (ICSE 2019)
Paper presented: Easy Modelling and Verification of Unpredictable and Preemptive Interrupt-driven Systems

The 40th IEEE Real-time Systems Symposium (RTSS 2020)
Paper presented: Suspension-Based Locking Protocols for Parallel Real-Time Tasks
5. networking & mobile computing

The 39th IEEE International Conference on Computer Communications (INFOCOM 2020)
Paper presented: Push the Limit of Acoustic Gesture Recognition

The 25th ACM Annual International Conference on Mobile Computing and Networking (MobiCom 2019)
Paper presented: Rebooting Ultrasonic Positioning Systems for Ultrasound-incapable Smart Devices
6. vision, language & graphics

The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019)
Paper presented: Social Attentive Depp Q-network for Recommendation

The 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018)
Paper presented: A PID Controller Approach for Stochastic Optimization of Deep Networks