I received my PhD degree at School of Computing, The University of Kent in 2015 under the supervision of Prof. Frank Wang. My PhD thesis "Memristor based neural networks: feasibility, theories and approaches" focuses on the frontier of memristor studies that apply the newly emerged device - memristor to neural networks such as "cellular neural networks", "echo state networks" and "spiking neural networks".
Since 2015, I work in Terrier Group, School of Computing Science with Prof. Iadh Ounis and Dr. Craig Macdonald. We are currently working on the ESRC funded project of "Explaining and mitigating electoral violence" with researchers in Social/Political Science department. In the project, we develop upon existing information retrieval and state-of-the-art machine learning approaches such as Convolutional Neural networks (ConvNets) to develop effective classifiers that can detect electoral violence incidents from social media platforms (e.g. Twitter). By clustering and extracting information of detected posts of electoral violence incidents, fine databases are generated for researchers to determine the strategies best suited to preventing, managing and mediating conflict related to electoral processes.
Transfer Learning for Multi-language Twitter Election Classification
Xiao Yang, Richard McCreadie, Craig Macdonald, Iadh Ounis. In Proc. of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2017.
Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data (Best Paper Award)
Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel and Xiao Yang. In Proc. of the 39th European Conference on Information Retrieval, 2017.
Using Word Embeddings in Twitter Election Classification
Xiao Yang, Craig Macdonald and Iadh Ounis. In Proc. of SIGIR Workshop on Neural Information Retrieval, 2016.
Monitoring Electoral Violence Through Social Media: A Machine Learning Approach
Xiao Yang, Iadh Ounis and Craig Macdonald. In Proc. of 2nd International Conference on Computational Social Science, 2016.
Investigations of the Staircase Memristor Model and Applications of Memristor-based Local Connections
Xiao Yang, Wanlong Chen and Frank Wang. Analog Integrated Circuits and Signal Processing, 2015.
The Staircase Memristor and its Applications
Xiao Yang, Wanlong Chen and Frank Wang. In Proc. of 21st IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2014.
The Memristor-based Associative Learning Network with Retention Loss
Xiao Yang, Wanlong Chen and Frank Wang. In Proc. IEEE International Symposium on Computational Intelligence and Informatics (CINTI), 2014
Memristor Cotent Addressable Memory
Wanlong Chen, Xiao Yang and Frank Wang. In Proc. IEEE/ACM International Symposium on Nanoscale Architectures (Nanoarch), 2014.
Adaptive Neuromorphic Architecture
Frank Wang, Leon Chua, Xiao Yang. Neural Networks, 2013.
Delayed Switching Applied to Memristor Neural Networks
Frank Wang, Na Helian, Sining Wu, Xiao Yang, Yike Guo, Guan Lim and Md Mamunur Rashid. Journal of Applied Physics, 2012