| A deep learning algorithm of neural network for the parameterization of typhoon‐ocean feedback in typhoon forecast models GQ Jiang, J Xu, J Wei Geophysical Research Letters 45 (8), 3706-3716, 2018 | 104 | 2018 |
| Multi-decadal timeseries of the Indonesian throughflow M Li, AL Gordon, J Wei, LK Gruenburg, G Jiang Dynamics of Atmospheres and Oceans 81, 84-95, 2018 | 49 | 2018 |
| Understanding why neural networks generalize well through gsnr of parameters J Liu, G Jiang, Y Bai, T Chen, H Wang ICLR2020 accepted as spotlight presentation, 2020 | 41 | 2020 |
| Exploring the importance of the Mindoro‐Sibutu pathway to the upper‐layer circulation of the South China Sea and the Indonesian Throughflow M Li, J Wei, D Wang, AL Gordon, S Yang, P Malanotte‐Rizzoli, G Jiang Journal of Geophysical Research: Oceans 124 (7), 5054-5066, 2019 | 22 | 2019 |
| Parameterization of typhoon-induced ocean cooling using temperature equation and machine learning algorithms: an example of typhoon Soulik (2013) J Wei, GQ Jiang, X Liu Ocean Dynamics 67, 1179-1193, 2017 | 22 | 2017 |
| Parameterizing sea surface temperature cooling induced by tropical cyclones using a multivariate linear regression model J Wei, X Liu, G Jiang Acta Oceanologica Sinica 37, 1-10, 2018 | 13 | 2018 |
| Seasonal and interannual variability of the subsurface velocity profile of the Indonesian Throughflow at Makassar Strait GQ Jiang, J Wei, P Malanotte‐Rizzoli, M Li, AL Gordon Journal of Geophysical Research: Oceans 124 (12), 9644-9657, 2019 | 12 | 2019 |
| SKDBERT: Compressing BERT via stochastic knowledge distillation Z Ding, G Jiang, S Zhang, L Guo, W Lin Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7414-7422, 2023 | 5 | 2023 |
| A reduction in the sea surface warming rate in the South China Sea during 1999–2010 GQ Jiang, Q Jin, J Wei, P Malanotte-Rizzoli, AL Gordon, M Li Climate Dynamics 57 (7), 2093-2108, 2021 | 2 | 2021 |
| A parameterization scheme for typhoon-ocean interaction based on a deep learning neural network G Jiang, J Wei IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 1 | 2018 |
| How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation Z Ding, G Jiang, S Zhang, L Guo, W Lin Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17915 …, 2024 | | 2024 |
| Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR) G Jiang, J Liu, Z Ding, L Guo, W Lin http://arxiv.org/abs/2309.13681, 2023 | | 2023 |
| CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model R Le, G Jiang, X Shu, R Han, Q Li, Y Li, X Li, W Lin Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | | 2023 |
| AutoSKDBERT: Learn to Stochastically Distill BERT Z Ding, GUOQ JIANG, S Zhang, L Guo, W Lin | | 2022 |
| Vertical profile of Makassar Throughflow J Wei, P Malanotte-Rizzoli, AL Gordon, G Jiang Ocean Sciences Meeting 2020, 2020 | | 2020 |
Arnold L. GordonLamont Doherty Earth Observatory of Columbia UniversityVerified email at ldeo.columbia.edu
