Hyperspectral Anomaly Change Detection Based on Auto-encoder. - Meiqi Hu; Chen Wu 003; Liangpei Zhang 001; Bo Du 001 (CoRR, 2020)

Transportation Density Reduction Caused by City Lockdowns Across the World during the COVID-19 Epidemic: From the View of High-resolution Remote Sensing Imagery. - Chen Wu 003; Sihan Zhu; Jiaqi Yang 005; Meiqi Hu; Bo Du 001; Liangpei Zhang 001; Lefei Zhang; Chengxi Han; Meng Lan (CoRR, 2021)

Hyperspectral Anomaly Change Detection Based on Autoencoder. - Meiqi Hu; Chen Wu 003; Liangpei Zhang 001; Bo Du 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Traffic Density Reduction Caused by City Lockdowns Across the World During the COVID-19 Epidemic: From the View of High-Resolution Remote Sensing Imagery. - Chen Wu 003; Sihan Zhu; Jiaqi Yang 005; Meiqi Hu; Bo Du 001; Liangpei Zhang 001; Lefei Zhang; Chengxi Han; Meng Lan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Strategies to Promote Cooperation in Mobile Networks. - Wang Tao; Wen Wei; Yin Xin; Meiqi Hu (ICARA, 2022)

Multi-Temporal Spatial-Spectral Comparison Network For Hyperspectral Anomalous Change Detection. - Meiqi Hu; Chen Wu 003; Bo Du 001 (IGARSS, 2022)

HyperNet: Self-Supervised Hyperspectral Spatial-Spectral Feature Understanding Network for Hyperspectral Change Detection. - Meiqi Hu; Chen Wu 003; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Beyond the Content: Considering the Network for Online Video Recommendation. - Lihui Lang; Meiqi Hu; Changhua Pei; Guo Chen 001 (APNet, 2023)

EMS-NET: Efficient Multi-Temporal Self-Attention for Hyperspectral Change Detection. - Meiqi Hu; Chen Wu 003; Bo Du 001 (IGARSS, 2023)

GlobalMind: Global Multi-head Interactive Self-attention Network for Hyperspectral Change Detection. - Meiqi Hu; Chen Wu 003; Liangpei Zhang 001 (CoRR, 2023)

An Investigation of Face Mask Use with Busking Videos on YouTube during COVID-19: a Case Study in South Korea. - Chen Wu 003; Xingjie Hao; Meiqi Hu; Chengguqiu Dai; Bo Du 001; Liangpei Zhang 001 (CoRR, 2023)

Collaborative-guided spectral abundance learning with bilinear mixing model for hyperspectral subpixel target detection. - Dehui Zhu; Bo Du 001; Meiqi Hu; Yanni Dong; Liangpei Zhang 001 (Neural Networks, 2023)

HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images. - Chengxi Han; Chen Wu 003; Haonan Guo; Meiqi Hu; Hongruixuan Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery. - Chengxi Han; Chen Wu 003; Haonan Guo; Meiqi Hu; Jiepan Li; Hongruixuan Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Multiscale Change Detection Network Based on Channel Attention and Fully Convolutional BiLSTM for Medium-Resolution Remote Sensing Imagery. - Jialu Li; Meiqi Hu; Chen Wu 003 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Binary Change Guided Hyperspectral Multiclass Change Detection. - Meiqi Hu; Chen Wu 003; Bo Du 001; Liangpei Zhang 001 (IEEE Trans. Image Process., 2023)

C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images. - Chengxi Han; Chen Wu 003; Meiqi Hu; Jiepan Li; Hongruixuan Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

ACR-Net: Adaptive Correlation Refined Hyperspectral Unmixing. - Meiqi Hu; Chen Wu 003; Rong Liu; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

HSANET: A Hybrid Self-Cross Attention Network For Remote Sensing Change Detection. - Chengxi Han; Xiaoyu Su; Zhiqiang Wei; Meiqi Hu; Yichu Xu (CoRR, 2025)

MergeSAM: Unsupervised change detection of remote sensing images based on the Segment Anything Model. - Meiqi Hu; Lingzhi Lu; Chengxi Han; Xiaoping Liu (CoRR, 2025)

HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model. - Di Wang 023; Meiqi Hu; Yao Jin; Yuchun Miao; Jiaqi Yang 005; Yichu Xu; Xiaolei Qin; Jiaqi Ma 002; Lingyu Sun; Chenxing Li; Chuan Fu; Hongruixuan Chen; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2025)