An Effective Hybrid Deep Learning Model for Eukaryotic Promoter Identification. - Ying Wang 065; Qinke Peng; Xu Mou; Tian Han 008; Zhao Sun; Xiao Wang 007 (BIBM, 2020)

An artificial intelligence-based real-time monitoring framework for time series. - Zhao Sun; Qinke Peng; Xu Mou; Ying Wang 065; Tian Han 008 (J. Intell. Fuzzy Syst., 2021)

A successful hybrid deep learning model aiming at promoter identification. - Ying Wang 065; Qinke Peng; Xu Mou; Xinyuan Wang 011; Haozhou Li; Tian Han 008; Zhao Sun; Xiao Wang 007 (BMC Bioinform., 2022)

Generic and scalable periodicity adaptation framework for time-series anomaly detection. - Zhao Sun; Qinke Peng; Xu Mou; Muhammad Fiaz Bashir (Multim. Tools Appl., 2023)

Abstractive Financial News Summarization via Transformer-BiLSTM Encoder and Graph Attention-Based Decoder. - Haozhou Li; Qinke Peng; Xu Mou; Ying Wang 065; Zeyuan Zeng; Muhammad Fiaz Bashir (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

A Deep Learning Framework for News Readers' Emotion Prediction Based on Features From News Article and Pseudo Comments. - Xu Mou; Qinke Peng; Zhao Sun; Ying Wang 065; Xintong Li; Muhammad Fiaz Bashir (IEEE Trans. Cybern., 2023)

Multi-document influence on readers: augmenting social emotion prediction by learning document interactions. - Xu Mou; Qinke Peng; Zhao Sun; Muhammad Fiaz Bashir; Haozhou Li (Neural Comput. Appl., 2024)

SEHF: A Summary-Enhanced Hierarchical Framework for Financial Report Sentiment Analysis. - Haozhou Li; Qinke Peng; Xinyuan Wang 011; Xu Mou; Yonghao Wang (IEEE Trans. Comput. Soc. Syst., 2024)

Graph Neural Networks With High-Order Polynomial Spectral Filters. - Zeyuan Zeng; Qinke Peng; Xu Mou; Ying Wang 065; Ruimeng Li (IEEE Trans. Neural Networks Learn. Syst., 2024)