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Lei Han 0004
Person information
- affiliation: Ocean University of China, Faculty of Information Science and Technology, Qingdao, China
Other persons with the same name
- Lei Han — disambiguation page
- Lei Han 0001
— Tencent AI Lab, Tencent Robotics X, Shenzhen, China (and 4 more)
- Lei Han 0002
- Lei Han 0003
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2020 – today
- 2024
- [j12]Jianwei Si, Xingwang Li, Haonan Chen
A Novel CNN-Based Radar Reflectivity Retrieval Network Using Geostationary Satellite Observations. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j11]Wenyuan Li
StarNet: A Deep Learning Model for Enhancing Polarimetric Radar Quantitative Precipitation Estimation. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - 2023
- [j10]Wensheng Yang
Multitask Learning for Precipitation Estimation Using Satellite Observations From the GOES-R Series. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j9]Wenyuan Li
Polarimetric Radar Quantitative Precipitation Estimation Using Deep Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j8]Wei Zhang
Pixel-CRN: A New Machine Learning Approach for Convective Storm Nowcasting. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [c19]Kexin Zhu, Haonan Chen, Lei Han:
MSF: One Lightweight Deep Learning Nowcasting Method with Attention Mechanism using Dual-Polarization Radar Observations. IGARSS 2023: 3807-3810 - [c18]Wenyuan Li
Deep Learning for Polarimetric Radar Quantitative Precipitation Estimation: Model Interpretation and Explainability. IGARSS 2023: 5194-5197 - [c17]Kexin Zhu, Haonan Chen, Lei Han:
Physical Analysis of the Impact of Polarization Parameters on Deep-learning Networks for Nowcasting. IGARSS 2023: 6799-6802 - 2022
- [j7]Lei Han
Toward the Predictability of a Radar-Based Nowcasting System for Different Precipitation Systems. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j6]Lei Han
Convective Precipitation Nowcasting Using U-Net Model. IEEE Trans. Geosci. Remote. Sens. 60: 1-8 (2022) - [j5]Lei Han
Advancing Radar Nowcasting Through Deep Transfer Learning. IEEE Trans. Geosci. Remote. Sens. 60: 1-9 (2022) - [c16]Kexin Zhu, Haonan Chen, Lei Han:
MCT U-net: A Deep Learning Nowcasting Method Using Dual-polarization Radar Observations. IGARSS 2022: 4665-4668 - [c15]Xuan Liu, Haonan Chen, Lei Han, Yurong Ge:
A Machine Learning Approach for Convective Initiation Detection Using Multi-source Data. IGARSS 2022: 6518-6521 - [c14]Ming Zhang, Yanhui Yin, Haonan Chen, Lei Han:
A Frequency-Matching Method for Bias Correction of Deep Learning Nowcasts. IGARSS 2022: 6710-6713 - [c13]Yu Wang, Lejian Zhang, Yubao Chen, Lei Han, Yurong Ge, Yizhuo Sha:
Application of Segmental-Correction Machine Learning Methods in Radar Quantitative Precipitation Estimation Correction by Rain Gauge. IGARSS 2022: 6714-6717 - [c12]Xuehong Guo, Lejian Zhang, Yubao Chen, Lei Han, Yurong Ge, Yizhuo Sha:
Using Multi-Source data to Remove Non-Precipitation Echoes in Weather Radar Data. IGARSS 2022: 7689-7692 - [c11]Wenyuan Li
The Interpretation of Deep Learning for Convective Storm Nowcasting. IGARSS 2022: 7922-7925 - 2021
- [j4]Mingshan Duan, Jiangjiang Xia, Zhongwei Yan
Reconstruction of the Radar Reflectivity of Convective Storms Based on Deep Learning and Himawari-8 Observations. Remote. Sens. 13(16): 3330 (2021) - [j3]Luyao Sun
Cross Validation of GOES-16 and NOAA Multi-Radar Multi-Sensor (MRMS) QPE over the Continental United States. Remote. Sens. 13(20): 4030 (2021) - [c10]Wei Zhang, Rui Zhang, Haonan Chen, Guangxin He, Yurong Ge, Lei Han:
A Multi-Channel 3D Convolutional-Recurrent Neural Network for Convective Storm Nowcasting. IGARSS 2021: 363-366 - [c9]He Liang, Haonan Chen, Wei Zhang, Yurong Ge, Lei Han:
Convective precipitation nowcasting using U-Net Model. IGARSS 2021: 7134-7137 - [c8]Shun Yao, Haonan Chen, Lei Han:
Short-term prediction of precipitation associated with landfalling hurricanes through deep learning. IGARSS 2021: 7176-7179 - [c7]Luyao Sun, Haonan Chen, Lei Han:
Bias correction of satellite retrievals of orographic precipitation. IGARSS 2021: 7240-7243 - [c6]Yang Liu, Haonan Chen, Lei Han, Jieying He:
A deep learning system for precipitation estimation using measurements from the Advanced Baseline Imager (ABI) on the GOES-R series. IGARSS 2021: 7662-7665 - 2020
- [j2]Qiulei Xia, Wenjuan Zhang
Quantification of Precipitation Using Polarimetric Radar Measurements during Several Typhoon Events in Southern China. Remote. Sens. 12(12): 2058 (2020) - [j1]Lei Han
Convolutional Neural Network for Convective Storm Nowcasting Using 3-D Doppler Weather Radar Data. IEEE Trans. Geosci. Remote. Sens. 58(2): 1487-1495 (2020) - [c5]Wei Zhang
A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting. IEEE BigData 2020: 3953-3960 - [c4]Jianchang Zhang, Haonan Chen, Lei Han:
An investigation of a probabilistic nowcast system for dual-polarization radar applications. IGARSS 2020: 5294-5297 - [c3]Luyao Sun, Haonan Chen, Lei Han, V. Chandrasekar, Jieying He, Yang Liu:
Cross validation of GOES-R and NOAA multi-radar multi-sensor (MRMS) QPE over the continental United States. IGARSS 2020: 5352-5355 - [i4]Wei Zhang, Hongling Liu, Pengfei Li, Lei Han:
A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting. CoRR abs/2010.14100 (2020)
2010 – 2019
- 2019
- [c2]Wei Zhang
Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting. IEEE BigData 2019: 1705-1710 - [c1]Wei Zhang
A Three-Dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting. ICBK 2019: 333-340 - [i3]Wei Zhang, Wei Li, Lei Han:
A Three-dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting. CoRR abs/1910.00527 (2019) - 2017
- [i2]Wei Zhang
Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting. CoRR abs/1702.04517 (2017) - 2016
- [i1]Lei Han, Juanzhen Sun, Wei Zhang, Yuanyuan Xiu, Hailei Feng, Yinjing Lin:
A Machine Learning Nowcasting Method based on Real-time Reanalysis Data. CoRR abs/1609.04103 (2016)
Coauthor Index
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last updated on 2024-11-14 22:03 CET by the dblp team
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