| Convolutional LSTM network: A machine learning approach for precipitation nowcasting X Shi, Z Chen, H Wang, DY Yeung, WK Wong, W Woo Advances in neural information processing systems 28, 2015 | 8107 | 2015 |
| Deep learning for precipitation nowcasting: A benchmark and a new model X Shi, Z Gao, L Lausen, H Wang, DY Yeung, W Wong, W Woo Advances in neural information processing systems 30, 2017 | 755 | 2017 |
| Operational application of optical flow techniques to radar-based rainfall nowcasting W Woo, W Wong Atmosphere 8 (3), 48, 2017 | 150 | 2017 |
| Convolutional LSTM network: A machine learning approach for precipitation nowcasting. arXiv 2015 X Shi, Z Chen, H Wang, DY Yeung, WK Wong, WC Woo arXiv preprint arXiv:1506.04214, 2015 | 72 | 2015 |
| Detecting water vapor variability during heavy precipitation events in Hong Kong using the GPS tomographic technique B Chen, Z Liu, WK Wong, WC Woo Journal of Atmospheric and Oceanic Technology 34 (5), 1001-1019, 2017 | 33 | 2017 |
| Application of optical flow techniques to rainfall nowcasting WC Woo, WK Wong the 27th Conference on Severe Local Storms, 2014 | 20 | 2014 |
| Deep learning for precipitation nowcasting: A benchmark and a new model. arXiv 2017 X Shi, Z Gao, L Lausen, H Wang, DY Yeung, WK Wong, WC Woo arXiv preprint arXiv:1706.03458, 2017 | 18 | 2017 |
| Convolutional LSTM network: A machine learning approach for precipitation nowcasting. CoRR abs/1506.04214 (2015) X Shi, Z Chen, H Wang, D Yeung, W Wong, W Woo arXiv preprint arXiv:1506.04214, 2015 | 14 | 2015 |
| Deep learning for precipitation nowcasting: A benchmark and a new model. 2017 X Shi, Z Gao, L Lausen, H Wang, DY Yeung, W Wong, WC Woo URL: http://arxiv. org/abs/1706.03458, 2017 | 10 | 2017 |
| Deep learning and the weather forecasting problem: Precipitation nowcasting Z Gao, X Shi, H Wang, DY Yeung, W Woo, WK Wong Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote …, 2021 | 9 | 2021 |
| An Algorithm to EnhAncE nowcAst of rAinfAll Brought By tropicAl cyclonEs through sEpArAtion of motions WC Woo, KK Li, M Bala Tropical Cyclone Research and Review 3 (2), 111-121, 2014 | 8 | 2014 |
| A deep-learning method for precipitation nowcasting W Wong, X Shi, DY Yeung, WC Woo WMO WWRP 4th International Symposium on Nowcasting and Veryshort-range …, 2016 | 7 | 2016 |
| Challenges and advances related to TC rainfall forecast WC Woo, W HOGSETT, M Mohapatra, K NAGATA, P OTTO, QI Liangbo, ... Third International Workshop on Tropical Cyclone Landfall Processes (IWTCLP …, 2014 | 7 | 2014 |
| Location-based rainfall nowcasting service for public W Woo EGU General Assembly Conference Abstracts, EGU2013-2767, 2013 | 7 | 2013 |
| Convolutional LSTM network: A machine learning approach for precipitation nowcasting: Advances in Neural Information Processing Systems, Curran Associates X Shi, Z Chen, H Wang, D Yeung, W Wong, W Woo Convolutional LSTM network: A machine learning approach for precipitation …, 2015 | 6 | 2015 |
| Rain forecast on MyObservatory-a location-based rainfall nowcasting service for the public WC Woo The 14th Workshop on meteorological operational systems, 2013 | 6 | 2013 |
| Field transformation approach to photonic band structure calculations GQ Gu, PM Hui, C Xu, WC Woo Solid state communications 120 (12), 483-486, 2001 | 6 | 2001 |
| Editorial to the Special Issue on Smart Cities Based on the Efforts of the Systems, Man, and Cybernetics Society CS Lai, TI Strasser, LL Lai Institute of Electrical and Electronics Engineers (IEEE), 2021 | 5 | 2021 |
| Proceedings of Advances in Neural Information Processing System X Shi, Z Chen, H Wang, DY Yeung, W Wang, W WOO | 5 | 2015 |
| Convolutional LSTM network: A machine learning approach for precipitation nowcasting, CoRR abs/1506.04214 X Shi, Z Chen, H Wang, D Yeung, W Wong, W Woo arXiv preprint arXiv:1506.04214, 2015 | 5 | 2015 |
