Classical Chinese poetry generation from vernacular Chinese: a word-enhanced supervised approach. - Dongze Wu; Arbee L. P. Chen (Multim. Tools Appl., 2023)

MetaLoc: Learning to Learn Wireless Localization. - Jun Gao; Dongze Wu; Feng Yin; Qinglei Kong; Lexi Xu; Shuguang Cui (IEEE J. Sel. Areas Commun., 2023)

Bayesian-Boosted MetaLoc: Efficient Training and Guaranteed Generalization for Indoor Localization. - Dongze Wu; Jun Gao; Feng Yin (ICASSP, 2024)

Annealing Flow Generative Model Towards Sampling High-Dimensional and Multi-Modal Distributions. - Dongze Wu; Yao Xie (CoRR, 2024)

DP-FWCA: A Prompt-Enhanced Model for Named Entity Recognition in Educational Domains. - Zhenkai Qin; Dongze Wu; Jiajing He; Jingming Xie; Aimin Wei (IEEE Access, 2025)

Frequency-Aware Attention-LSTM for PM2.5 Time Series Forecasting. - Jiahui LU; Shuang Wu; Zhenkai Qin; Dongze Wu; Guifang Yang (CoRR, 2025)

MSTIM: A MindSpore-Based Model for Traffic Flow Prediction. - Weiqi Qin; Yuxin Liu; Dongze Wu; Zhenkai Qin; Qining Luo (CoRR, 2025)

Few-shot Hate Speech Detection Based on the MindSpore Framework. - Zhenkai Qin; Dongze Wu; Yuxin Liu; Guifang Yang (CoRR, 2025)

RAGAT-Mind: A Multi-Granular Modeling Approach for Rumor Detection Based on MindSpore. - Zhenkai Qin; Guifang Yang; Dongze Wu (CoRR, 2025)

MindFlow: A Network Traffic Anomaly Detection Model Based on MindSpore. - Qiuyan Xiang; Shuang Wu; Dongze Wu; Yuxin Liu; Zhenkai Qin (CoRR, 2025)

Research on CNN-BiLSTM Network Traffic Anomaly Detection Model Based on MindSpore. - Qiuyan Xiang; Shuang Wu; Dongze Wu; Yuxin Liu; Zhenkai Qin (CoRR, 2025)

PO-Flow: Flow-based Generative Models for Sampling Potential Outcomes and Counterfactuals. - Dongze Wu; David I. Inouye; Yao Xie (CoRR, 2025)