Gland instance segmentation using deep multichannel neural networks Y Xu, Y Li, Y Wang, M Liu, Y Fan, M Lai, I Eric, C Chang IEEE Transactions on Biomedical Engineering 64 (12), 2901-2912, 2017 | 197* | 2017 |
Gland instance segmentation by deep multichannel side supervision Y Xu, Y Li, M Liu, Y Wang, M Lai, EI Chang International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 130 | 2016 |
Acflow: Flow models for arbitrary conditional likelihoods Y Li, S Akbar, J Oliva International Conference on Machine Learning, 5831-5841, 2020 | 36* | 2020 |
Nrtsi: Non-recurrent time series imputation S Shan, Y Li, JB Oliva ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 35 | 2023 |
Active feature acquisition with generative surrogate models Y Li, J Oliva International conference on machine learning, 6450-6459, 2021 | 35 | 2021 |
Exchangeable neural ode for set modeling Y Li, H Yi, C Bender, S Shan, JB Oliva Advances in Neural Information Processing Systems 33, 6936-6946, 2020 | 31 | 2020 |
Unpaired deep cross-modality synthesis with fast training L Xiang, Y Li, W Lin, Q Wang, D Shen Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018 | 31 | 2018 |
Meta-neighborhoods S Shan, Y Li, JB Oliva Advances in Neural Information Processing Systems 33, 5047-5057, 2020 | 17 | 2020 |
Exchangeable generative models with flow scans C Bender, K O'Connor, Y Li, J Garcia, J Oliva, M Zaheer Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10053 …, 2020 | 10 | 2020 |
Towards robust active feature acquisition Y Li, S Shan, Q Liu, JB Oliva arXiv preprint arXiv:2107.04163, 2021 | 6 | 2021 |
Defense through diverse directions C Bender, Y Li, Y Shi, MK Reiter, J Oliva International Conference on Machine Learning, 756-766, 2020 | 6 | 2020 |
Dynamic Feature Acquisition with Arbitrary Conditional Flows Y Li, JB Oliva arXiv preprint arXiv:2006.07701, 2020 | 5 | 2020 |
A forest from the trees: Generation through neighborhoods Y Li, T Gao, J Oliva Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4755-4762, 2020 | 4 | 2020 |
Partially observed exchangeable modeling Y Li, J Oliva International Conference on Machine Learning, 6460-6470, 2021 | 3 | 2021 |
Phoneme hallucinator: One-shot voice conversion via set expansion S Shan, Y Li, A Banerjee, JB Oliva Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14910 …, 2024 | 2 | 2024 |
Multitask pretraining with structured knowledge for text-to-SQL generation R Giaquinto, D Zhang, B Kleiner, Y Li, M Tan, P Bhatia, R Nallapati, X Ma Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 1 | 2023 |
Active Context Modeling for Efficient Image and Burst Compression Y Li, G Wu, S Petrangeli, H Wang, R Rossi, V Swaminathan 2023 IEEE International Symposium on Multimedia (ISM), 89-94, 2023 | | 2023 |
Actively-learned context modeling for image compression G Wu, Y Li, S Petrangeli, V Swaminathan, W Haoliang, RA Rossi, S Zhao US Patent App. 17/749,846, 2023 | | 2023 |
Joint Text and Label Generation for Spoken Language Understanding Y Li, B Athiwaratkun, CN Santos, B Xiang arXiv preprint arXiv:2105.05052, 2021 | | 2021 |