Duo Wang
Hi,I am currently a final Year PhD student in Artificial Intelligence Group. I am supervised by Dr Pietro Lio and Dr Mateja Jamnik. My Research focus on using machine learning and neuroscience to understand reasoning, in particular diagrammatic reasoning. In the past I have also done a couple of projects on applying machine learning on biomedical image processing and analysis.
Publication
Duo Wang, Mateja Jamnik, Pietro Liò (2020) Extrapolatable Relational Reasoning With Comparators in Low-Dimensional Manifolds. Under Review
Nicholas Quek, Duo Wang, Pietro Liò (2020) Pairwise Relations Discriminator for Unsupervised Raven's Progressive Matrices. MATH-AI, ICLR2021
Yiren Zhao, Duo Wang, Daniel Bates, Robert Mullins, Mateja Jamnik, Pietro Lio (2020) Learned Low Precision Graph Neural Networks. EuroMLSys-EuroSys2021
Yiren Zhao, Duo Wang, Xitong Gao, Robert Mullins, Mateja Jamnik, Pietro Lio (2020) Probablistic Dual Architecture Seach on Graphs. Best Student Paper Award, DLG-AAAI 2021
Colleen P.E. Rollins, Jane R. Garrison , Maite Arribas, Aida Seyedsalehi, Zhi Li, Raymond C.K. Chan , Junwei Yang , Duo Wang , Pietro Lio , Chao Yan , Zheng-hui Yi , Arnaud Cachia , Rachel Upthegrove , Bill Deakin , Jon S. Simons , Graham K. Murray, John Suckling (2020) Evidence in cortical folding patterns for prenatal
predispositions to hallucinations in schizophrenia. Accepted at Nature Translational Psychiatry
Duo Wang, Mateja Jamnik, Pietro Liò (2020) Abstract Diagrammatic Reasoning with Multiplex Graph Networks. Accepted at ICLR 2020
Duo Wang, Mateja Jamnik, Pietro Liò (2019) Unsupervised and Interpretable Scene Discovery with Discrete-Attend-Infer-Repeat. Accepted at ICML 2019 Self-Supervised Learning Workshop
Duo Wang, Mateja Jamnik, Pietro Liò (2019) Unsupervised Extraction of Interpretable Graph Representations From Multiple-object Scenes. Accepted at ICML 2019 Learning and Reasoning with Graph-structured Representation Workshop
Duo Wang, Mateja Jamnik, Pietro Liò (2018) Investigating diagrammatic reasoning with deep neural networks. Accepted at Diagrams 2018
Wang D. et al. (2017) Neural network fusion: a novel CT-MR Aortic Aneurysm image segmentation method. Accepted at SPIE Medical Imaging conference 2018
Jin Zhu, Duo Wang Pietro Liò (2017) A Multi-pathway 3D Dilated Convolutional Neural Network for Brain Tumor Segmentation. BRATS challenge
Duo Wang, Mateja Jamnik, Pietro Liò (2017) Modelling Neural Correlates of mathematical diagrammatic reasoning Accepted at MathPsych/ICCM 2017
Veličković P., Wang, D., Lane N., Lio', P. (2016) X-CNN:
Cross-modal Convolutional Neural Networks for Sparse Datasets. IEEE SSCI 2016 (http://ssci2016.cs.surrey.ac.uk/)
Hongliang Yu, Xin Wan, Guodong Liang, Duo Wang, Xiaohong Wang (2015)
Intelligent Control System for Cement Raw Mill Quality Based on Online Analysis. 2nd International conference on advances in information processing and communication technology