| Deep learning on symbolic representations for large-scale heterogeneous time-series event prediction S Zhang, S Bahrampour, R Naveen, S Lukas, S Mohak IEEE International Conference on Acoustics, Speech and Signal Processing, 2017 | 26 | 2017 |
| Stochastic whitening batch normalization S Zhang, E Nezhadarya, H Fashandi, J Liu, D Graham, M Shah Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 9 | 2021 |
| From CDF to PDF --- A Density Estimation Method for High Dimensional Data S Zhang https://arxiv.org/abs/1804.05316, 2018 | 7 | 2018 |
| Deep Symbolic Representation Learning for Heterogeneous Time-series Classification S Zhang, S Bahrampour, N Ramakrishnan, M Shah https://arxiv.org/abs/1612.01254, 2016 | 3 | 2016 |
| Exploring Compositional Image Retrieval with Hybrid Compositional Learning and Heuristic Negative Mining C Wang, E Nezhadarya, T Sadhu, S Zhang Findings of the Association for Computational Linguistics: EMNLP 2022, 1273-1285, 2022 | 2 | 2022 |
| TRAINING A NEURAL NETWORK USING STOCHASTIC WHITENING BATCH NORMALIZATION S ZHANG, H Fashandi, E Nezhadarya, J Liu US Patent App. 17/151,117, 2022 | 1 | 2022 |
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