| Deep generative inpainting with comparative sample augmentation B Fang, M Jiang, J Shen, B Stenger Journal of Computational and Cognitive Engineering 1 (4), 174-180, 2022 | 47 | 2022 |
| Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems. B Fang, M Jiang, P Cheng, J Shen, Y Fang IJCAI, 444-450, 2020 | 29 | 2020 |
| Achieving Fairness in Determining Medicaid Eligibility through Fairgroup Construction B Fang, M Jiang, J Shen arXiv preprint arXiv:1906.00128, 2019 | 2 | 2019 |
| Food Fairness: An Artificial Intelligence Perspective for SNAP Allocation B Fang, M Jiang, J Shen, PY Cheng, M Chivukula Workshop on AI for Social Good, IJCAI, 5, 2019 | 2 | 2019 |
| Fast LoG SIFT Keypoint Detector P Maharjan, L Vanfossan, Z Li, JJ Shen 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP …, 2023 | 1 | 2023 |
| PAGANDA: An Adaptive Task-Independent Automatic Data Augmentation B Fang, M Jiang, J Shen | 1 | 2019 |
| Adaptive Data Augmentation with Deep Parallel Generative Models B Fang, M Jiang, A Nagpure, J Shen | | |
Miao JiangMachine Learning Engineer, U-NEXTVerified email at unext.jp
