Dr Daqi Liu

Dr Daqi Liu is a Lecturer (Assistant Professor) at the School of Computing and Mathematical Sciences with expertise in Computer Vision, Machine Learning, Artificial Intelligence and Bio-inspired Computational Models.

Previously, he was a Research Fellow in the Centre for Vision, Speech and Signal Processing, University of Surrey.

He has published several scientific papers in top-ranked journals, including IEEE transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE transactions on Neural Networks and Learning Systems (TNNLS), IEEE transactions on Cybernetics etc. 

My research areas include:

• Computer Vision: Object Detection, Semantic Segmentation, Scene Graph Generation, Image Captioning, Visual Question Answering
• Machine Learning: Bayesian Inference, especially Variational Bayesian 
• Deep Learning: Convolutional Neural Network, Graph Neural Network, Transformer, Self-supervised Learning 
• Bio-inspired Computational Models: Spiking Neural Networks

Selected recent publications:

• D. Liu, M. Bober and J. Kittler, "Constrained Structure Learning for Scene Graph Generation," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 10, pp. 11588-11599, 2023.
• D. Liu, M. Bober and J. Kittler, "Neural Belief Propagation for Scene Graph Generation," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 8, pp. 10161-10172, 2023.
• D. Liu, M. Bober and J. Kittler, "Visual Semantic Information Pursuit: A Survey," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 4, pp. 1404-1422, 2021.
• D. Liu, N. Bellotto and S. Yue, "Deep Spiking Neural Network for Video-Based Disguise Face Recognition Based on Dynamic Facial Movements," in IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 6, pp. 1843-1855, 2020.
• D. Liu and S. Yue, "Event-Driven Continuous STDP Learning With Deep Structure for Visual Pattern Recognition," in IEEE Transactions on Cybernetics, vol. 49, no. 4, pp. 1377-1390, 2019.
• D. Liu and S. Yue, "Fast unsupervised learning for visual pattern recognition using spike timing dependent plasticity." Neurocomputing, vol. 249, pp. 212-224, 2017.

CO3095 Software Measurement and Quality Assurance 

CO7095 Software Measurement and Quality Assurance 

Reviewing activities:

• Reviewer for IEEE Transactions on Pattern Analysis and Machine Intelligence
• Reviewer for IEEE Transactions on Neural Networks and Learning Systems
• Reviewer for IEEE Transactions on Cybernetics
• Reviewer for International Journal of Computer Vision
• Reviewer for IEEE Transactions on Cognitive and Developmental Systems
• Reviewer for IEEE Access
• Reviewer for several top conferences such as CVPR, ICCV, ECCV