5 citations · 11 across the 6 of their papers we have counts for
6 papers
Parallel Hierarchical Transformer with Attention Alignment for Abstractive Multi-Document Summarization
Ye Ma, Lu Zong
In comparison to single-document summarization, abstractive Multi-Document Summarization (MDS) brings challenges on the representation and coverage of its lengthy and linked source…
Are Crises Predictable? A Review of the Early Warning Systems in Currency and Stock Markets
Peiwan Wang, Lu Zong
The study efforts to explore and extend the crisis predictability by synthetically reviewing and comparing a full mixture of early warning models into two constitutions: crisis ide…
Global-aware Beam Search for Neural Abstractive Summarization
Ye Ma, Zixun Lan, Lu Zong +1
This study develops a calibrated beam-based algorithm with awareness of the global attention distribution for neural abstractive summarization, aiming to improve the local optimali…
A Novel Distributed Representation of News (DRNews) for Stock Market Predictions
Ye Ma, Lu Zong, Peiwan Wang
In this study, a novel Distributed Representation of News (DRNews) model is developed and applied in deep learning-based stock market predictions. With the merit of integrating con…
Integrated Node Encoder for Labelled Textual Networks
Ye Ma, Lu Zong
Voluminous works have been implemented to exploit content-enhanced network embedding models, with little focus on the labelled information of nodes. Although TriDNR leverages node…
An Integrated Early Warning System for Stock Market Turbulence
Peiwan Wang, Lu Zong, Ye Ma
This study constructs an integrated early warning system (EWS) that identifies and predicts stock market turbulence. Based on switching ARCH (SWARCH) filtering probabilities of the…