| 2026 | AAAI | ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling. | Yaxiong Chen, Qicong Wang, Chunlei Li, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiao Xiang Zhu, Lichao Mou |
| 2025 | CVPR | Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression. | Jie Liu, Tiexin Qin, Hui Liu, Yilei Shi, Lichao Mou, Xiao Xiang Zhu, Shiqi Wang, Haoliang Li |
| 2025 | ICLR | Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection. | Chunlei Li, Yilei Shi, Jingliang Hu, Xiao Xiang Zhu, Lichao Mou |
| 2025 | MICCAI | High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation. | Le Dong, Jinghao Bian, Jingyang Hou, Jingliang Hu, Yilei Shi, Weisheng Dong, Xiaoxiang Zhu, Lichao Mou |
| 2025 | MICCAI | Taming Stable Diffusion for Computed Tomography Blind Super-Resolution. | Chunlei Li, Yilei Shi, Haoxi Hu, Jingliang Hu, Xiao Xiang Zhu, Lichao Mou |
| 2024 | IGARSS | Evaluating Feature Impact on Ocean Wind Speed Predictions: An Application of Explainable AI to GNSS Reflectometry Data. | Tianqi Xiao, Milad Asgarimehr, Jens Wickert, Daixin Zhao, Lichao Mou, Caroline Arnold |
| 2024 | IGARSS | Referring Image Segmentation for Remote Sensing Data. | Zhenghang Yuan, Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu |
| 2024 | MICCAI | UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report Generation. | Yaxiong Chen, Chuang Du, Chunlei Li, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiao Xiang Zhu, Lichao Mou |
| 2024 | MICCAI | One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks. | Yaxiong Chen, Junjian Hu, Chunlei Li, Zixuan Zheng, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiao Xiang Zhu, Lichao Mou |
| 2024 | MICCAI | Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models. | Tingxiu Chen, Yilei Shi, Zixuan Zheng, Bingcong Yan, Jingliang Hu, Xiao Xiang Zhu, Lichao Mou |
| 2024 | MICCAI | CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal Intervention. | Yaxiong Chen, Minghong Wei, Zixuan Zheng, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiao Xiang Zhu, Lichao Mou |
| 2024 | MICCAI | Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-labeling for Semi-supervised Ultrasound Image Segmentation. | Yaxiong Chen, Yujie Wang, Zixuan Zheng, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiao Xiang Zhu, Lichao Mou |
| 2024 | MICCAI | Rethinking Cell Counting Methods: Decoupling Counting and Localization. | Zixuan Zheng, Yilei Shi, Chunlei Li, Jingliang Hu, Xiao Xiang Zhu, Lichao Mou |
| 2024 | MICCAI | Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning. | Zixuan Zheng, Yilei Shi, Chunlei Li, Jingliang Hu, Xiao Xiang Zhu, Lichao Mou |
| 2023 | ICCV | Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation. | Runmin Dong, Lichao Mou, Mengxuan Chen, Weijia Li, Xin-Yi Tong, Shuai Yuan, Lixian Zhang, Juepeng Zheng, Xiao Xiang Zhu, Haohuan Fu |
| 2023 | IGARSS | Overcoming Language Bias in Remote Sensing Visual Question Answering Via Adversarial Training. | Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu |
| 2023 | IGARSS | DDM-Former: Global Ocean Wind Speed Retrieval with Transformer Networks. | Daixin Zhao, Konrad Heidler, Milad Asgarimehr, Caroline Arnold, Tianqi Xiao, Jens Wickert, Xiao Xiang Zhu, Lichao Mou |
| 2023 | IGARSS | Function Assignment of Plastics based on Hyperspectral Satellite Images and High-Resolution Data Using Deep Learning Algorithms. | Shanyu Zhou, Lichao Mou, Lixian Zhang, Yuansheng Hua, Hermann Kaufmann, Xiaoxiang Zhu |
| 2023 | IGARSS | Amodal Segmentation Considering Visible and Non-Visible Elements of Urban Surfaces. | Osmar Luiz Ferreira de Carvalho, Anesmar Olino de Albuquerque, Osmar Ablio de Carvalho Jnior, Lichao Mou, Daniel Guerreiro E. Silva |
| 2023 | IGARSS | A Data-Centric Approach for Rapid Dataset Generation Using Iterative Learning and Sparse Annotations. | Osmar Luiz Ferreira de Carvalho, Anesmar Olino de Albuquerque, Arglica Saiaka Luiz, Pedro Henrique Guimares Ferreira, Lichao Mou, Daniel Guerreiro e Silva, Osmar Ablio de Carvalho Jnior |
| 2023 | IGARSS | Roof Superstructure Detection from Aerial Imagery. | Qingyu Li, Sebastian Krapf, Lichao Mou, Yilei Shi, Xiao Xiang Zhu |
| 2022 | IGARSS | Change-Aware Visual Question Answering. | Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu |
| 2022 | IGARSS | Bounding Box Regression Network for Building Height Retrieval Using a Single SAR Image. | Yao Sun, Lichao Mou, Yuanyuan Wang, Xiao Xiang Zhu |
| 2022 | IGARSS | Self Supervised Learning for Few Shot Hyperspectral Image Classification. | Nassim Ait Ali Braham, Lichao Mou, Jocelyn Chanussot, Julien Mairal, Xiao Xiang Zhu |
| 2022 | IGARSS | Deep Active Contour Models for Delineating Glacier Calving Fronts. | Konrad Heidler, Lichao Mou, Erik Loebel, Mirko Scheinert, Sbastien Lefvre, Xiao Xiang Zhu |
| 2021 | IGARSS | Conditional GIS-Aware Network for Individual Building Segmentation in a VHR SAR Image. | Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu |
| 2021 | IGARSS | Self-Paced Curriculum Learning for Visual Question Answering on Remote Sensing Data. | Zhenghang Yuan, Lichao Mou, Xiao Xiang Zhu |
| 2021 | IGARSS | Mask-Height R-CNN: An End-to-End Network for 3D Building Reconstruction from Monocular Remote Sensing Imagery. | Sining Chen, Lichao Mou, Qingyu Li, Yao Sun, Xiao Xiang Zhu |
| 2021 | IGARSS | Hed-Unet: A Multi-Scale Framework for Simultaneous Segmentation and Edge Detection. | Konrad Heidler, Lichao Mou, Celia A. Baumhoer, Andreas J. Dietz, Xiao Xiang Zhu |
| 2021 | IGARSS | Seeing the Bigger Picture: Enabling Large Context Windows in Neural Networks by Combining Multiple Zoom Levels. | Konrad Heidler, Lichao Mou, Xiao Xiang Zhu |
| 2021 | IGARSS | Unconstrained Aerial Scene Recognition with Deep Neural Networks and a New Dataset. | Yuansheng Hua, Lichao Mou, Pu Jin, Xiao Xiang Zhu |
| 2021 | IGARSS | Temporal Relations Matter: A Two-Pathway Network for Aerial Video Recognition. | Pu Jin, Lichao Mou, Yuansheng Hua, Gui-Song Xia, Xiao Xiang Zhu |
| 2021 | IGARSS | Anomaly Detection in Aerial Videos Via Future Frame Prediction Networks. | Pu Jin, Lichao Mou, Gui-Song Xia, Xiao Xiang Zhu |
| 2021 | IGARSS | Improving Land Cover Classification with a Shift-Invariant Center-Focusing Convolutional Neural Network. | Cong Luo, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu |
| 2020 | ECCV | Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition. | Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou |
| 2020 | IGARSS | Event and Activity Recognition in Aerial Videos Using Deep Neural Networks and a New Dataset. | Lichao Mou, Yuansheng Hua, Pu Jin, Xiao Xiang Zhu |
| 2020 | IGARSS | A Novel Approach to Unsupervised Segmentation of Multitemporal VHR Images based on Deep Learning. | Sudipan Saha, Lichao Mou, Chunping Qiu, Xiao Xiang Zhu, Francesca Bovolo, Lorenzo Bruzzone |
| 2020 | IGARSS | Learning Multi-Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings. | Yuansheng Hua, Sylvain Lobry, Lichao Mou, Devis Tuia, Xiao Xiang Zhu |
| 2020 | IGARSS | Instance Segmentation of Buildings Using Keypoints. | Qingyu Li, Lichao Mou, Yuansheng Hua, Yao Sun, Pu Jin, Yilei Shi, Xiao Xiang Zhu |
| 2019 | CVPR | A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes. | Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu |
| 2019 | IGARSS | Spatial Relational Reasoning in Networks for Improving Semantic Segmentation of Aerial Images. | Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu |
| 2019 | IGARSS | Label Relation Inference for Multi-Label Aerial Image Classification. | Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu |
| 2018 | IGARSS | A Recurrent Convolutional Neural Network for Land Cover Change Detection in Multispectral Images. | Lichao Mou, Xiao Xiang Zhu |
| 2018 | IGARSS | Feature Importance Analysis of Sentinel-2 Imagery for Large-Scale Urban Local Climate Zone Classification. | Chunping Qiu, Michael Schmitt, Pedram Ghamisi, Lichao Mou, Xiao Xiang Zhu |
| 2018 | IGARSS | LAHNet: A Convolutional Neural Network Fusing Low- and High-Level Features for Aerial Scene Classification. | Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu |
| 2018 | IGARSS | Classification of Settlement Types from Tweets Using LDA and LSTM. | Rong Huang, Hannes Taubenbck, Lichao Mou, Xiao Xiang Zhu |
| 2018 | IGARSS | Hierarchical Region Based Convolution Neural Network for Multiscale Object Detection in Remote Sensing Images. | Qingpeng Li, Lichao Mou, Kaiyu Jiang, Qingjie Liu, Yunhong Wang, Xiao Xiang Zhu |
| 2017 | IGARSS | Identifying corresponding patches in SAR and optical imagery with a convolutional neural network. | Lichao Mou, Michael Schmitt, Yuanyuan Wang, Xiao Xiang Zhu |
| 2017 | IGARSS | Fully conv-deconv network for unsupervised spectral-spatial feature extraction of hyperspectral imagery via residual learning. | Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu |
| 2016 | IGARSS | Spatiotemporal scene interpretation of space videos via deep neural network and tracklet analysis. | Lichao Mou, Xiao Xiang Zhu |