Publications

Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth (2022). NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. In AAAI 2022.

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Linyi Yang (2021). Deep Neural Approach for Financial Analysis. PhD Thesis.

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Linyi Yang, Jiazheng Li, Ruihai Dong, Padraig Cunningham, Barry Smyth, Yue Zhang (2021). Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. In ACL 2021.

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Linyi Yang*, Jiazheng Li*, Barry Smyth, Ruihai Dong (2020). MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. In CIKM 2020.

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Linyi Yang, Eoin Kenny, James Ng, Yi Yang, Barry Smyth, Ruihai Dong (2020). Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. In COLING 2020.

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Linyi Yang, James Ng, Ruihai Dong, Barry Smyth (2020). HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. In WWW 2020.

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Linyi Yang, James Ng, Yang Xu, Ruihai Dong (2019). Leveraging BERT to Improve the FEARS Index for Stock Forecasting. In IJCAI 2019-FinNLP.

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Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong (2018). Explainable Text-Driven Neural Network for Stock Prediction (*Best Paper Nominated). In CCIS-18.

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Linyi Yang (2017). Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction. Master Thesis.

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Linyi Yang, James Ng, Catherine Mooney, Ruihai Dong (2017). Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction. In AICS-17.

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