For the full list please refer to Google Scholar

X. Jia, H. Zhao, Z. Lin, A. Kale, and V. Kumar. Personalized Image Retrieval with Sparse Graph Representation Learning. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020 (To appear).

G. Nayak, R. Ghosh, X. Jia, V. Mithal, and V. Kumar. Multi-view Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. SIAM International Conference on Data Mining, 2020.

X. Jia, A. Khandelwal, J. S Gerber, K. M Carlson, P. C West, L. H Samberg, and V. Kumar. Plantation Mapping in Southeast Asia Using MODIS Data and Imperfect Visual Annotations. Remote Sensing, 2020.

X. Jia, M. Wang, A. Khandelwal, A. Karpatne, and V. Kumar. Recurrent generative networks for multiā€resolution satellite data: An application in cropland monitoring. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (pp. 2628-2634), 2019.

X. Jia, J. Willard, A. Karpatne, J. Read, J. Zwart, M. Steinbach, and V. Kumar. Physics guided RNNs for modeling dynamical systems: A case study in simulating lake temperature profiles. In Proceedings of the 2019 SIAM International Conference on Data Mining (pp. 558-566). Society for Industrial and Applied Mathematics, 2019.

J. S Read, X. Jia, J. Willard, A. Appling, J. A Zwart, S. K Oliver, A. Karpatne, G. J.A. Hanson, W. Watkins, M. Steinbach, and V. Kumar. Process-guided Deep Learning Predictions of Lake Water Temperature. Water Resources Research (WRR), 2019.

X. Jia, S. Li, H. Zhao, S. Kim, and V. Kumar. Towards robust and discriminative sequential data learning: When and how to perform adversarial training?. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 1665-1673), 2019.

X. Jia, A. Khandelwal, D. Mulla, P. G Pardey, and V. Kumar. Bringing Automated, Remote-sensed, Machine Learning Methods to Monitoring Crop Landscapes at Scale. Agricultural Economics, 2019.

X. Jia, X. Li, N. Du, Y. Zhang, V. Gopalakrishnan, G. Xun, and A. Zhang. Tracking Community Consistency in Dynamic Networks: An Influence-based Approach. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.

X. Jia, A. Khandelwal, J. Gerber, K. Carlson, P. West and V. Kumar. Plantation Mapping in Southeast Asia. Frontiers in Big Data, 2019.

X. Jia, A. Khandelwal, G. Nayak, J. Gerber, K. Carlson, P. West, and V. Kumar. Incremental dual-memory lstm in land cover prediction. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 867-876), 2017.

G. Xun, X. Jia, V. Gopalakrishnan, and A. Zhang. A survey on context learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(1), pp.38-56, 2016.

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