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Xinjie Shi
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2020 – today
- 2024
- [j6]Qingguo Su, Xinjie Shi, Wuxin Wang, Di Zhang, Kefeng Deng, Kaijun Ren:
A Novel Generative Adversarial Network Based on Gaussian-Perceptual for Downscaling Precipitation. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j5]Xinjie Shi, Qingguo Su, Wuxin Wang, Weicheng Ni, Boheng Duan, Kaijun Ren:
TCNet: Triple Collocation-Based Network for Ocean Surface Wind Speed Retrieval on CYGNSS. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - 2023
- [j4]Rui Chen, Ralf Toumi, Xinjie Shi, Xiang Wang, Yao Duan, Weimin Zhang:
An Adaptive Learning Approach for Tropical Cyclone Intensity Correction. Remote. Sens. 15(22): 5341 (2023) - [c5]Bochen Zhang, Chenyang Zhang, Xinjie Shi:
Artificial Hummingbird Algorithm for Dynamic Partition of Logistics Network. ICNSC 2023: 1-6 - 2022
- [j3]Xinjie Shi, Boheng Duan, Kaijun Ren:
F2F-NN: A Field-to-Field Wind Speed Retrieval Method of Microwave Radiometer Data Based on Deep Learning. Remote. Sens. 14(15): 3517 (2022) - [j2]Xinjie Shi, Pinhong Long, Huaping Huang, Fengjun Li:
Some Fixed Point Results in E-Metric Spaces and an Application. Symmetry 14(10): 2005 (2022) - [c4]Dailan He, Ziming Yang, Hongjiu Yu, Tongda Xu, Jixiang Luo, Yuan Chen, Chenjian Gao, Xinjie Shi, Hongwei Qin, Yan Wang:
PO-ELIC: Perception-Oriented Efficient Learned Image Coding. CVPR Workshops 2022: 1763-1768 - [c3]Lina Guo, Xinjie Shi, Dailan He, Yuanyuan Wang, Rui Ma, Hongwei Qin, Yan Wang:
Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain. CVPR 2022: 5852-5861 - [i1]Lina Guo, Xinjie Shi, Dailan He, Yuanyuan Wang, Rui Ma, Hongwei Qin, Yan Wang:
Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain. CoRR abs/2203.16357 (2022) - 2021
- [j1]Xinjie Shi, Boheng Duan, Kaijun Ren:
A More Accurate Field-to-Field Method towards the Wind Retrieval of HY-2B Scatterometer. Remote. Sens. 13(12): 2419 (2021)
2010 – 2019
- 2019
- [c2]Xinjie Shi, Tianqi Wang, Lan Wang, Hanjun Liu, Nan Yan:
Hybrid Convolutional Recurrent Neural Networks Outperform CNN and RNN in Task-state EEG Detection for Parkinson's Disease. APSIPA 2019: 939-944
2000 – 2009
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