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Jinchao Liu

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2020 – today

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2024
[j6]
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Yingying Wu, Jinchao Liu, Yan Wang, Stuart J. Gibson, Margarita Osadchy, Yongchun Fang:
Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3845-3861 (2024)
[j5]
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Xin Niu, Enyi Li, Jinchao Liu, Yan Wang, Margarita Osadchy, Yongchun Fang:
Mind the Gap: Learning Modality-Agnostic Representations With a Cross-Modality UNet. IEEE Trans. Image Process. 33: 655-670 (2024)
2023
[c7]
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  - conf/caibda/LiuZDY23
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Jinchao Liu, Li Zhu, Zhihong Du, Chao Yu:
Research on the Application of Marine Multi-Modal Big Data in Maritime Law Enforcement. CAIBDA 2023: 956-969
[c6]
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Yuanzhi He, Biao Sheng, Yuan Li, Changxu Wang, Xiang Chen, Jinchao Liu:
Applications of Deep Learning in Satellite Communication: A Survey. SINC 2023: 17-33
2022
[j4]
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Jiahong Wei, Guijie Zhu, Zhun Fan, Jinchao Liu, Yibiao Rong, Jiajie Mo, Wenji Li, Xinjian Chen:
Genetic U-Net: Automatically Designed Deep Networks for Retinal Vessel Segmentation Using a Genetic Algorithm. IEEE Trans. Medical Imaging 41(2): 292-307 (2022)
2020
[j3]
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Fangliang Bai, Jinchao Liu, Xiaojuan Liu, Margarita Osadchy, Chao Wang, Stuart J. Gibson:
LSHR-Net: A hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network. Neurocomputing 406: 169-181 (2020)
[i4]
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  - journals/corr/abs-2004-13173
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Fangliang Bai, Jinchao Liu, Xiaojuan Liu, Margarita Osadchy, Chao Wang, Stuart J. Gibson:
LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network. CoRR abs/2004.13173 (2020)

2010 – 2019

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2018
[i3]
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  - journals/corr/abs-1806-09981
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Jinchao Liu, Stuart J. Gibson, James Mills, Margarita Osadchy:
Dynamic Spectrum Matching with One-shot Learning. CoRR abs/1806.09981 (2018)
[i2]
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  - journals/corr/abs-1808-07270
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Jinchao Liu, Stuart J. Gibson, Margarita Osadchy:
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning. CoRR abs/1808.07270 (2018)
2017
[j2]
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Jinchao Liu, Zhun Fan, Søren Ingvor Olsen, Kim Hardam Christensen, Jens Klæstrup Kristensen:
Boosting Active Contours for Weld Pool Visual Tracking in Automatic Arc Welding. IEEE Trans Autom. Sci. Eng. 14(2): 1096-1108 (2017)
[i1]
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  - journals/corr/abs-1708-09022
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Jinchao Liu, Margarita Osadchy, Lorna Ashton, Michael Foster, Christopher J. Solomon, Stuart J. Gibson:
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution. CoRR abs/1708.09022 (2017)
2015
[c5]
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Jinchao Liu, Zhun Fan, Søren Ingvor Olsen, Kim Hardam Christensen, Jens Klæstrup Kristensen:
A real-time passive vision system for robotic arc welding. CASE 2015: 389-394
2011
[c4]
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Jinchao Liu, Zhun Fan, Søren Ingvor Olsen, Kim Hardam Christensen, Jens Klæstrup Kristensen:
Weld pool visual sensing without external illumination. CASE 2011: 145-150

2000 – 2009

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2009
[j1]
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  - journals/tie/FanLSW09
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Zhun Fan, Jinchao Liu, Torben Sørensen, Pan Wang:
Improved Differential Evolution Based on Stochastic Ranking for Robust Layout Synthesis of MEMS Components. IEEE Trans. Ind. Electron. 56(4): 937-948 (2009)
[c3]
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Jinchao Liu, Zhun Fan, Erik D. Goodman:
SRDE: an improved differential evolution based on stochastic ranking. GEC Summit 2009: 345-352
[c2]
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Jinchao Liu, Zhun Fan, Erik D. Goodman:
SRaDE: an adaptive differential evolution based on stochastic ranking. GECCO 2009: 1871-1872
[c1]
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Jinchao Liu, Zhun Fan, Søren I. Olsen, Kim Hardam Christensen, Jens Klæstrup Kristensen:
Using active contour models for feature extraction in camera-based seam tracking of arc welding. IROS 2009: 5948-5955

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