| 2025 | IROS | Learning Generalizable 3D Manipulation With 10 Demonstrations. | Yu Ren, Yang Cong, Bohao Huang, Jiahao Long, Ronghan Chen, Hongbo Li, Huijie Fan |
| 2020 | IGARSS | Designing Synthetic Overhead Imagery to Match a Target Geographic Region: Preliminary Results Training Deep Learning Models. | Varun Nair, Paul Rhee, Jichen Yang, Bohao Huang, Kyle Bradbury, Jordan M. Malof |
| 2020 | IGARSS | Do Deep Learning Models Generalize to Overhead Imagery from Novel Geographic Domains? The xGD Benchmark Problem. | Bohao Huang, Kyle Bradbury, Leslie M. Collins, Jordan M. Malof |
| 2020 | WACV | The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation. | Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof |
| 2019 | IGARSS | Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results. | Fanjie Kong, Cheng Chen, Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2019 | IGARSS | A simple rotational equivariance loss for generic convolutional segmentation networks: preliminary results. | Kangcheng Lin, Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2018 | IGARSS | On The Extraction of Training Imagery from Very Large Remote Sensing Datasets for Deep Convolutional Segmenatation Networks. | Bohao Huang, Daniel Reichman, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2018 | IGARSS | Deep Convolutional Segmentation of Remote Sensing Imagery: A Simple and Efficient Alternative to Stitching Output Labels. | Bohao Huang, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof |
| 2018 | IGARSS | Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark. | Bohao Huang, Kangkang Lu, Nicolas Audebert, Andrew Khalel, Yuliya Tarabalka, Jordan M. Malof, Alexandre Boulch, Bertrand Le Saux, Leslie M. Collins, Kyle Bradbury, Sbastien Lefvre, Motaz El-Saban |