CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. - Rahul Ghosh; Praveen Ravirathinam; Xiaowei Jia; Ankush Khandelwal; David J. Mulla; Vipin Kumar 001 (IEEE BigData, 2021)

Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. - Rahul Ghosh; Praveen Ravirathinam; Xiaowei Jia; Chenxi Lin; Zhenong Jin; Vipin Kumar 001 (IEEE BigData, 2021)

MRSCAtt: A Spatio-Channel Attention-Guided Network for Mars Rover Image Classification. - Anirudh Srinivasan Chakravarthy; Roshan Roy; Praveen Ravirathinam (CVPR Workshops, 2021)

Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. - Yiqun Xie; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Jia Yu 020; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2021)

A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity. - Yiqun Xie; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (ICDM, 2021)

C-LIENet: A Multi-Context Low-Light Image Enhancement Network. - Praveen Ravirathinam; Divyam Goel; J. Jennifer Ranjani (IEEE Access, 2021)

NeighCNN: A CNN based SAR Speckle Reduction using Feature preserving Loss Function. - Praveen Ravirathinam; Darshan Agrawal; J. Jennifer Ranjani (CoRR, 2021)

Fairness by "Where": A Statistically-Robust and Model-Agnostic Bi-level Learning Framework. - Yiqun Xie; Erhu He; Xiaowei Jia; Weiye Chen; Sergii Skakun; Han Bao 003; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (AAAI, 2022)

Sailing in the location-based fairness-bias sphere. - Erhu He; Weiye Chen; Yiqun Xie; Han Bao 003; Xun Zhou 001; Xiaowei Jia; Zhe Jiang 001; Rahul Ghosh; Praveen Ravirathinam (SIGSPATIAL/GIS, 2022)

Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract). - Yiqun Xie; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (IJCAI, 2022)

Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. - Praveen Ravirathinam; Rahul Ghosh; Ke Wang; Keyang Xuan; Ankush Khandelwal; Hilary Dugan; Paul C. Hanson; Vipin Kumar 001 (SDM, 2023)

Harnessing heterogeneity in space with statistically guided meta-learning. - Yiqun Xie; Weiye Chen; Erhu He; Xiaowei Jia; Han Bao 003; Xun Zhou 001; Rahul Ghosh; Praveen Ravirathinam (Knowl. Inf. Syst., 2023)

Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. - Praveen Ravirathinam; Rahul Ghosh; Ankush Khandelwal; Xiaowei Jia; David J. Mulla; Vipin Kumar 001 (SDM, 2024)

Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications. - Praveen Ravirathinam; Ankush Khandelwal; Rahul Ghosh; Vipin Kumar 001 (CoRR, 2024)

Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration. - Erhu He; Yiqun Xie; Weiye Chen; Sergii Skakun; Han Bao 003; Rahul Ghosh; Praveen Ravirathinam; Xiaowei Jia (IEEE Trans. Knowl. Data Eng., 2024)