Red tide time series forecasting by combining ARIMA and deep belief network. - Mengjiao Qin; Zhihang Li; Zhenhong Du (Knowl. Based Syst., 2017)

Energy Management for Smart Base Stations with Heterogeneous Energy Harvesting Devices. - Guanglin Zhang; Mengjiao Qin; Zhirong Shen; Lin Wang 022 (GLOBECOM, 2018)

Multistep-ahead forecasting of chlorophyll a using a wavelet nonlinear autoregressive network. - Zhenhong Du; Mengjiao Qin; Feng Zhang 009; Renyi Liu (Knowl. Based Syst., 2018)

A matrix completion-based multiview learning method for imputing missing values in buoy monitoring data. - Mengjiao Qin; Zhenhong Du; Feng Zhang 009; Renyi Liu (Inf. Sci., 2019)

Achieving Higher Resolution Lake Area from Remote Sensing Images Through an Unsupervised Deep Learning Super-Resolution Method. - Mengjiao Qin; Linshu Hu; Zhenhong Du; Yi Gao; Lianjie Qin; Feng Zhang 009; Renyi Liu (Remote. Sens., 2020)

Remote Sensing Single-Image Resolution Improvement Using A Deep Gradient-Aware Network with Image-Specific Enhancement. - Mengjiao Qin; Sébastien Mavromatis; Linshu Hu; Feng Zhang 009; Renyi Liu; Jean Sequeira; Zhenhong Du (Remote. Sens., 2020)

RSCNN: A CNN-Based Method to Enhance Low-Light Remote-Sensing Images. - Linshu Hu; Mengjiao Qin; Feng Zhang 009; Zhenhong Du; Renyi Liu (Remote. Sens., 2021)

A deep learning crop model for adaptive yield estimation in large areas. - Yilin Zhu; Sensen Wu; Mengjiao Qin; Zhiyi Fu; Yi Gao; Yuanyuan Wang; Zhenhong Du (Int. J. Appl. Earth Obs. Geoinformation, 2022)

A Dynamic Pyramid Tilling Method for Traffic Data Stream Based on Flink. - Linshu Hu; Feng Zhang 009; Mengjiao Qin; Zhiyi Fu; Zhende Chen; Zhenhong Du; Renyi Liu (IEEE Trans. Intell. Transp. Syst., 2022)

Joint Communication, Sensing and Computing for V2I Networks. - Yu Lin; Feng Ke; Meiling Chen; Mengjiao Qin; Ying Loong Lee; Dong Li 009 (VTC Fall, 2023)

Two Time-Scale Energy and Spectrum Allocation for MEC Networks With Hybrid Energy Supplies. - Wenqian Zhang; Zhirong Shen; Mengjiao Qin; Guanglin Zhang (IEEE Trans. Netw. Sci. Eng., 2023)

A Graph Memory Neural Network for Sea Surface Temperature Prediction. - Shuchen Liang; Anming Zhao; Mengjiao Qin; Linshu Hu; Sensen Wu; Zhenhong Du; Renyi Liu (Remote. Sens., 2023)

Arctic Sea Ice Concentration Prediction Using Spatial Attention Deep Learning. - Haoqi Gu; Lianchong Zhang; Mengjiao Qin; Sensen Wu; Zhenhong Du (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

ENSO Forecasts With Spatiotemporal Fusion Transformer Network. - Anming Zhao; Mengjiao Qin; Sensen Wu; Renyi Liu; Zhenhong Du (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A deep multi-scale neural networks for crime hotspot mapping prediction. - Changfeng Jing; Xinxin Lv; Yi Wang 132; Mengjiao Qin; Shiyuan Jin; Sensen Wu; Gaoran Xu (Comput. Environ. Urban Syst., 2024)

GSA-SiamNet: A Siamese Network with Gradient-Based Spatial Attention for Pan-Sharpening of Multi-Spectral Images. - Yi Gao; Mengjiao Qin; Sensen Wu; Feng Zhang 009; Zhenhong Du (Remote. Sens., 2024)

Using PySpark to accelerate batch data point rotation for paleogeographic reconstruction. - Shuyan Xu; Linshu Hu; Haipeng Li; Mengjiao Qin; Sensen Wu; Zhenhong Du (Int. J. Digit. Earth, 2024)

Traffic Matrix Prediction Based on Multilevel Discrete Wavelet Transform Network and LSTM. - Han Hu; Feng Ke; Mengjiao Qin; Ying Loong Lee (Trans. Emerg. Telecommun. Technol., 2025)