activity
20182026
most citedEA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

23 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

q-fin.RM2026

DTD-VAE: Disentangled Temporal Dependencies VAE for Credit Risk Prediction

Xiaobo Guo, Lu-an Dong, Yanbo Wang +3

Evaluating customer creditworthiness is crucial for retail banking operations, as it impacts marketing strategies, customer relationship management, and credit risk control. Tradit…

cs.LG2024★ 11 cited

FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction

Muhao Xu, Zhenfeng Zhu, Youru Li +4

Multimodal electronic health record (EHR) data can offer a holistic assessment of a patient's health status, supporting various predictive healthcare tasks. Recently, several studi…

cs.LG2022

Node-oriented Spectral Filtering for Graph Neural Networks

Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu +2

Graph neural networks (GNNs) have shown remarkable performance on homophilic graph data while being far less impressive when handling non-homophilic graph data due to the inherent…

cs.LG2022★ 1 cited

HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction

Youru Li, Zhenfeng Zhu, Xiaobo Guo +3

Risk prediction, as a typical time series modeling problem, is usually achieved by learning trends in markers or historical behavior from sequence data, and has been widely applied…

cs.LG2018★ 23 cited

EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction

Youru Li, Zhenfeng Zhu, Deqiang Kong +2

Time series prediction with deep learning methods, especially long short-term memory neural networks (LSTMs), have scored significant achievements in recent years. Despite the fact…