| A statistically-guided deep network transformation and moderation framework for data with spatial heterogeneity Y Xie, E He, X Jia, H Bao, X Zhou, R Ghosh, P Ravirathinam 2021 IEEE International Conference on Data Mining (ICDM), 767-776, 2021 | 35 | 2021 |
| Fairness by “where”: A statistically-robust and model-agnostic bi-level learning framework Y Xie, E He, X Jia, W Chen, S Skakun, H Bao, Z Jiang, R Ghosh, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12208 …, 2022 | 21 | 2022 |
| Physics guided neural networks for time-aware fairness: an application in crop yield prediction E He, Y Xie, L Liu, W Chen, Z Jin, X Jia Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14223 …, 2023 | 12 | 2023 |
| Sailing in the location-based fairness-bias sphere E He, Y Xie, X Jia, W Chen, H Bao, X Zhou, Z Jiang, R Ghosh, ... Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 12 | 2022 |
| Harnessing heterogeneity in space with statistically guided meta-learning Y Xie, W Chen, E He, X Jia, H Bao, X Zhou, R Ghosh, P Ravirathinam Knowledge and information systems 65 (6), 2699-2729, 2023 | 5 | 2023 |
| Entity aware modelling: A survey R Ghosh, H Yang, A Khandelwal, E He, A Renganathan, S Sharma, X Jia, ... arXiv preprint arXiv:2302.08406, 2023 | 5 | 2023 |
| Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space Y Xie, E He, X Jia, H Bao, X Zhou, R Ghosh, P Ravirathinam Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 1 | 2022 |
| Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks E He, Y Xie, A Sun, J Zwart, J Yang, Z Jin, Y Wang, H Karimi, X Jia Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22087 …, 2024 | | 2024 |
| Learning With Location-Based Fairness: A Statistically-Robust Framework and Acceleration E He, Y Xie, W Chen, S Skakun, H Bao, R Ghosh, P Ravirathinam, X Jia IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
| Referee-Meta-Learning for Fast Adaptation of Locational Fairness W Chen, Y Xie, X Jia, E He, H Bao, B An, X Zhou arXiv preprint arXiv:2402.13379, 2024 | | 2024 |
| Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features E He, Y Xie, L Liu, Z Jin, D Zhang, X Jia Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | | 2024 |
| Heterogeneity-Aware Deep Learning in Space: Performance and Fairness Y Xie, X Jia, W Chen, E He Handbook of Geospatial Artificial Intelligence, 151-176, 2023 | | 2023 |
| CGS: coupled growth and survival model with cohort fairness E He, Y Wan, BH Letcher, JH Fair, Y Xie, X Jia Proceedings of the Thirty-Second International Joint Conference on …, 2023 | | 2023 |
Xiaowei JiaUniversity of PittsburghVerified email at pitt.edu
