| VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ... Medical image analysis 73, 102166, 2021 | 261 | 2021 |
| Automating crystal-structure phase mapping by combining deep learning with constraint reasoning D Chen, Y Bai, S Ament, W Zhao, D Guevarra, L Zhou, B Selman, ... Nature Machine Intelligence 3 (9), 812-822, 2021 | 61 | 2021 |
| Deep reasoning networks for unsupervised pattern de-mixing with constraint reasoning D Chen, Y Bai, W Zhao, S Ament, J Gregoire, C Gomes International Conference on Machine Learning, 1500-1509, 2020 | 60* | 2020 |
| Fairness of exposure in stochastic bandits L Wang, Y Bai, W Sun, T Joachims International Conference on Machine Learning, 10686-10696, 2021 | 53 | 2021 |
| A study of ai population dynamics with million-agent reinforcement learning Y Yang, L Yu, Y Bai, J Wang, W Zhang, Y Wen, Y Yu arXiv preprint arXiv:1709.04511, 2017 | 46* | 2017 |
| Unsupervised learning for solving the travelling salesman problem Y Min, Y Bai, CP Gomes Advances in Neural Information Processing Systems 36, 2024 | 39 | 2024 |
| Batch learning from bandit feedback through bias corrected reward imputation L Wang, Y Bai, A Bhalla, T Joachims ICML Workshop on Real-World Sequential Decision Making, 2019 | 12 | 2019 |
| CLR-DRNets: Curriculum learning with restarts to solve visual combinatorial games Y Bai, D Chen, CP Gomes 27th International Conference on Principles and Practice of Constraint …, 2021 | 10 | 2021 |
| Deep learning with citizen science data enables estimation of species diversity and composition at continental extents CL Davis, Y Bai, D Chen, O Robinson, V Ruiz‐Gutierrez, CP Gomes, ... Ecology 104 (12), e4175, 2023 | 7 | 2023 |
| Scalable relaxations of sparse packing constraints: optimal biocontrol in predator-prey networks J Bjorck, Y Bai, X Wu, Y Xue, M Whitmore, C Gomes Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 5 | 2018 |
| Detecting aquaculture with deep learning in a low-data setting. L Greenstreet, J Fan, FS Pacheco, Y Bai, ME Ummus, C Doria, NO Barros, ... In: SIGKDD FRAGILE EARTH WORKSHOP, 2023, Long Beach., 2023 | 4 | 2023 |
| Scaling up pareto optimization for tree structures with affine transformations: Evaluating hybrid floating solar-hydropower systems in the amazon M Grimson, R Almeida, Q Shi, Y Bai, H Angarita, FS Pacheco, R Schmitt, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22067 …, 2024 | 2 | 2024 |
| Efficiently approximating high-dimensional pareto frontiers for tree-structured networks using expansion and compression Y Bai, Q Shi, M Grimson, A Flecker, CP Gomes International Conference on Integration of Constraint Programming …, 2023 | 2 | 2023 |
| Detecting Aquaculture in the Brazilian Amazon using Deep Learning in a Low-Data Setting L Greenstreet, F Pacheco, J Fan, Y Bai, M Eichemberger Ummus, ... AGU Fall Meeting Abstracts 2023 (969), GC21F-0969, 2023 | | 2023 |
| Deep Unsupervised Models Leveraging Learning and Reasoning Y Bai Cornell University, 2023 | | 2023 |
| Scaling Up the Pareto Frontier for Tree Structures with Affine Transformations M Grimson, Q Shi, Y Bai, A Flecker, CP Gomes | | 2023 |
| Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems Y Bai, W Zhao, CP Gomes arXiv preprint arXiv:2102.03002, 2021 | | 2021 |
Di ChenCornell UniversityVerified email at cs.cornell.edu
