Potential of Combining Optical and Dual Polarimetric SAR Data for Improving Mangrove Species Discrimination Using Rotation Forest. - Hongsheng Zhang 001; Ting Wang 007; Mingfeng Liu; Mingming Jia; Hui Lin 002; L. M. Chu; Adam T. Devlin (Remote. Sens., 2018)

Analyzing Mangrove Zonation Dynamics Using Time-Series High-Resolution Satellite Images. - Mingfeng Liu; Hongsheng Zhang 001; Luoma Wan; Yinyi Lin; Hui Lin 002 (IGARSS, 2020)

GF-5 Hyperspectral Data for Species Mapping of Mangrove in Mai Po, Hong Kong. - Luoma Wan; Yinyi Lin; Hongsheng Zhang 001; Feng Wang 022; Mingfeng Liu; Hui Lin 002 (Remote. Sens., 2020)

A Regional Traffic Congestion Estimation Method Based on D-S Evidence Theory. - Mingfeng Liu; Panpan Geng; Yuxin Gao; Yisheng An (ICNSC, 2021)

Improved LSTM Spatial-temporal Prediction Method for Power Grid IoT Analysis. - Ming Li; Xingwang Han; Hua Huang; Jinchao Ni; Bo Cui; Hui Cheng; Mingfeng Liu; Xie Wang (WI/IAT (Workshop/Special Session), 2021)

Early Monitoring of Exotic Mangrove Sonneratia in Hong Kong Using Deep Convolutional Network at Half-Meter Resolution. - Luoma Wan; Hongsheng Zhang 001; Mingfeng Liu; Yinyi Lin; Hui Lin 002 (IEEE Geosci. Remote. Sens. Lett., 2021)

Interpreting Mangrove Habitat and Coastal Land Cover Change in the Greater Bay Area, Southern China, from 1924 to 2020 Using Historical Aerial Photos and Multiple Sources of Satellite Data. - Mingfeng Liu; Felix Leung; Shing-Yip Lee (Remote. Sens., 2022)

Deep Learning for Channel Estimation and Security Detection in Wireless Communication Systems. - Jun Wu; Jian Meng; Chen Chen 110; Yushun Li; Mingfeng Liu; Xinghan Pan (HP3C, 2023)

MHA-DGCLN: multi-head attention-driven dynamic graph convolutional lightweight network for multi-label image classification of kitchen waste. - Qiaokang Liang; Jintao Li; Hai Qin; Mingfeng Liu; Xiao Xiao; Dongbo Zhang 003; Yaonan Wang 001; Dan Zhang 006 (Appl. Intell., 2024)