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Qiming Liao

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2020 – today

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2024
[j4]
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  - journals/prl/LiaoZLLZ24
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  - https://dblp.org/rec/journals/prl/LiaoZLLZ24
Qiming Liao, Lin Zhao, Wenqiang Luo, Xinping Li, Guoyun Zhang:
Joint negative-positive-learning based sample reweighting for hyperspectral image classification with label noise. Pattern Recognit. Lett. 183: 98-103 (2024)
2023
[j3]
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  - journals/lgrs/ShiLLZL23
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Chengzhong Shi, Qiming Liao, Xinping Li, Lin Zhao, Wen Li:
Graph Guided Transformer: An Image-Based Global Learning Framework for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)
2022
[j2]
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  - journals/lgrs/ZhaoLLCW22
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Lin Zhao, Wenqiang Luo, Qiming Liao, Siyuan Chen, Jianhui Wu:
Hyperspectral Image Classification With Contrastive Self-Supervised Learning Under Limited Labeled Samples. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)

1990 – 1999

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1997
[j1]
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Satish Iyengar, Qiming Liao:
Modeling neural activity using the generalized inverse Gaussian distribution. Biol. Cybern. 77(4): 289-295 (1997)

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