Xiao Yang

Senior NLP Data Scientist at Underwriteme Ltd

About me

Email: yxzz *at* hotmail.com

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 2022, I am a senior NLP Data Scientist at Underwriteme Ltd. I lead R&D of ML/LLM based NLP solutions to assist insurance underwriting. At 2020, I joined Amazon, Inc. as a Data Scientist II at Alexa Shopping NLU team. I built and deployed e2e ML/LLM models across regions, provided seamless shopping experience via Alexa AI assistant on Amazon app. At 2018, I joined the European Bioinformatics Institute (EMBL-EBI) as a ML/NLP Scientist at the Literature Service group (Europe PMC). I led development of e2e NLP services via millions of PMC documents. At 2015, I joined the Terrier Information Retrieval group, School of Computing Science with Prof. Iadh Ounis and Dr. Craig Macdonald, funded by the ESRC project of "Explaining and mitigating electoral violence". I worked on research and development upon existing IR and state-of-the-art ML approaches to 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.

Publications

Europe PMC annotated full-text corpus for gene/proteins, diseases and organisms

Xiao Yang, Shyamasree Saha, Aravind Venkatesan, Santosh Tirunagari, et al. In Scientific Data, 2023.

WassRank: Listwise Document Ranking Using Optimal Transport Theory

Co-authored with Haitao Yu. In Proc. of the 12th International Conference on Web Search and Data Mining (WSDM), 2019.

On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings

Xiao Yang, Iadh Ounis, Richard McCreadie, Craig Macdonald and Anjie Fang. In Proc. of the 40th European Conference on Information Retrieval (ECIR), 2018.

Using Word Embeddings in Twitter Election Classification

Xiao Yang, Craig Macdonald and Iadh Ounis. Information Retrieval Journal, 2017.

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 (ASONAM), 2017.

Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data (Best Student Paper Award)

Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel and Xiao Yang. In Proc. of the 39th European Conference on Information Retrieval (ECIR), 2017.

Using Word Embeddings in Twitter Election Classification

Xiao Yang, Craig Macdonald and Iadh Ounis. In Proc. of SIGIR Workshop on Neural Information Retrieval (SIGIR-NeuIR), 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 (IC2S2), 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