Research

The Department of Intelligent Science (INT) aims to conduct cutting-edge research in the area of intelligent science through collaboration with other disciplines, institutions and companies, publishing high-quality papers, and strengthening local and international research collaborations through industrial knowledge transfer.

• IEEE Transactions on Pattern Analysis and Machine Intelligence journal
• JMLR – Journal of Machine Learning Research
• Machine Learning journal
• Pattern Recognition journal.
• NeurIPS – Neural Information Processing Systems conference
• ICML – International Conference on Machine Learning
• ECML – European Conference on Machine Learning
• CVPR – Computer Vision and Pattern Recognition conference
• ECCV – European Conference on Computer Vision
• AAAI – AAAI (Association for the Advancement of Artificial Intelligence) Conference on Artificial Intelligence
• IJCAI – International Joint Conference on Artificial Intelligence

INT is also establishing academic links with world-leading research institutes, including the National Laboratory of Pattern Recognition (NLPR), CAS, University of Liverpool, Nanyang Technological University, and Edinburgh Napier University. In addition, INT actively cooperates with key industry leaders, such as Tencent, Alibaba and Fujitsu.

INT has identified the following key research directions based on the strength of our academic team and the strategic direction of XJTLU:

• machine learning
• pattern recognition
• data mining
• computer vision
• image processing
• human computer interaction
• bio-signal analysis
• EEG-event detection
• MEG source reconstruction/localisation