The county-level assessment on risk of collapses, landslides, and debris flows in Guangdong using GIS and remote sensing. - Dongning Feng; Mengfan Wu; Hui Yin; Yunpeng Wang; Xuejun Dai (Geoinformatics, 2015)

Water body extraction and change analysis based on landsat image in Xinjiang coal-mining regions. - Sisi Yu; Lin Sun; Zhongchang Sun; Mengfan Wu (IGARSS, 2016)

A Hierarchical Multiscale Super-Pixel-Based Classification Method for Extracting Urban Impervious Surface Using Deep Residual Network From WorldView-2 and LiDAR Data. - Mengfan Wu; Xiangwei Zhao; Zhongchang Sun; Huadong Guo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding. - Xiaoman Qi; Panpan Zhu; Yuebin Wang; Liqiang Zhang 001; Junhuan Peng; Mengfan Wu; Jialong Chen; Xudong Zhao; Ning Zang; P. Takis Mathiopoulos (CoRR, 2020)

Urbanization-Driven Changes in Land-Climate Dynamics: A Case Study of Haihe River Basin, China. - Zhouyuan Li; Yanjie Xu; Yingbao Sun; Mengfan Wu; Bin Zhao (Remote. Sens., 2020)

Deep Learning for Multilabel Remote Sensing Image Annotation With Dual-Level Semantic Concepts. - Panpan Zhu; Yumin Tan; Liqiang Zhang 001; Yuebin Wang; Jie Mei 004; Hao Liu; Mengfan Wu (IEEE Trans. Geosci. Remote. Sens., 2020)

Geographic and gender disparities in global education achievement during the COVID-19 pandemic. - Mengfan Wu; Qiwei Yu; Sabrina L. Li; Liqiang Zhang (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Robust Real-Time Tracking of Axis-Symmetric Magnets via Neural Networks. - Mengfan Wu; Thomas Langerak; Otmar Hilliges; Juan José Zarate (CoRR, 2022)

Calculation of the Mutual Access Rate for Lock Cores Using an Automation Equipment. - Shengnan Ying; Wenhan Zhong; Fang Gong; Ronghui Yuan; Xiubing Du; Mengfan Wu (CSAE, 2023)

Towards AI-Native Vehicular Communications. - Gianluca Rizzo; Eirini Liotou; Yann Maret; Jean-Frédéric Wagen; Tommaso Zugno; Mengfan Wu; Adrian Kliks (VTC2023-Spring, 2023)

Parameter-less Asynchronous Federated Learning under Computation and Communication Constraints. - Mengfan Wu; Mate Boban; Falko Dressler (VTC2023-Spring, 2023)

Accurate Quantitative Analysis of LIBS With Image Form Spectra by Using a Hybrid Deep Learning Model of a Convolutional Block Attention Module-Convolutional Neural Network-Long Short-Term Memory. - Lingwei Zeng; Weiheng Kong; Sha Chen; Yu Rao; Mengfan Wu; Yixiang Duan; Qingwen Fan; Xu Wang; Zewei Luo (IEEE Trans. Instrum. Meas., 2023)

An Overview to Molecularly Imprinted Electrochemical Sensors for the Detection of Bisphenol A. - Ying Pan; Mengfan Wu; Mingjiao Shi; Peizheng Shi; Ningbin Zhao; Yangguang Zhu; Hassan Karimi-Maleh; Chen Ye; Cheng-Te Lin; Li Fu (Sensors, 2023)

Advancements in Polymer-Assisted Layer-by-Layer Fabrication of Wearable Sensors for Health Monitoring. - Meiqing Jin; Peizheng Shi; Zhuang Sun; Ningbin Zhao; Mingjiao Shi; Mengfan Wu; Chen Ye; Cheng-Te Lin; Li Fu (Sensors, 2024)

Heterogeneous effects of economic assistance on mortality risk in violent conflicts in Africa. - Qiwei Yu; Fuqing Zhang; Liqiang Zhang 001; Ying Qu 002; Jingwen Li; Guoqing Zhou 001; Isiaka Lukman Alage; Mengfan Wu; Suhong Liu (Int. J. Digit. Earth, 2024)

Flexible Training and Uploading Strategy for Asynchronous Federated Learning in Dynamic Environments. - Mengfan Wu; Mate Boban; Falko Dressler (IEEE Trans. Mob. Comput., 2024)

Enhancing Convolutional Models for Indoor Radio Mapping via Ray Marching. - Mengfan Wu; Marco Skocaj; Mate Boban (ICASSP, 2025)

A Novel Dynamic Hill Cipher and Its Applications on Medical IoT. - Jie Jin; Mengfan Wu; Aijia Ouyang; Keqin Li 001; Chaoyang Chen 001 (IEEE Internet Things J., 2025)

Hierarchy-Boosted Funnel Learning for Identifying Semiconductors with Ultralow Lattice Thermal Conductivity. - Mengfan Wu; Shenshen Yan; Jie Ren (CoRR, 2025)