Xingzhu Liang

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Yu-e Lin 0001

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Publications

2026
[j34]
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Yu-e Lin, Xingyuan Ge, Xingzhu Liang, Jinliang Zhang:
SiamDMCF: a dynamic multi-order context fusion siamese network for robust visual tracking. Appl. Intell. 56(2): 51 (2026)
[j32]
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Xingzhu Liang, Chun Yin, Mengyuan Li, Yu-e Lin:
TIKD: Where text meets vision for knowledge distillation. Expert Syst. Appl. 319: 132045 (2026)
2025
[j30]
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Xingzhu Liang, Mengyuan Li, Yu-e Lin, Xianjin Fang:
GACFNet: A global attention cross-level feature fusion network for aerial image object detection. Comput. Electr. Eng. 123: 110042 (2025)
[j28]
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Mengyuan Li, Xingzhu Liang, Qicheng Hu, Yu-e Lin, Chenxing Xia:
Multi-scale feature fusion with knowledge distillation for object detection in aerial imagery. Eng. Appl. Artif. Intell. 158: 111518 (2025)
[j27]
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  - journals/mlc/LiangXLY25
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Xingzhu Liang, Yunzhuang Xiao, Yu-e Lin, Xinyun Yan:
SiamATA: an asymmetric target-aware and frequency domain task-aware Siamese network for visual tracking. Int. J. Mach. Learn. Cybern. 16(12): 9787-9806 (2025)
[j25]
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Xingzhu Liang, Yachen Xu, Yu-e Lin, Chunjiong Zhang:
Federated split learning via dynamic aggregation and homomorphic encryption on non-IID data. J. Supercomput. 81(1): 63 (2025)
2024
[j20]
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Yu-e Lin, Shuting Yin, Yifeng Ding, Xingzhu Liang:
ATMKD: adaptive temperature guided multi-teacher knowledge distillation. Multim. Syst. 30(5): 292 (2024)
[j18]
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Yu-e Lin, Houguo Li, Xingzhu Liang, Mengfan Li, Huilin Liu:
AAR:Attention Remodulation for Weakly Supervised Semantic Segmentation. J. Supercomput. 80(7): 9096-9114 (2024)
[j17]
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Yu-e Lin, Erhu Liu, Xingzhu Liang, Miaomiao Chen, Xinyun Yan:
Global-local Bi-alignment for purer unsupervised domain adaptation. J. Supercomput. 80(10): 14925-14952 (2024)
2023
[j14]
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  - journals/apin/LiangLZF23
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Xingzhu Liang, Yu-e Lin, Shunxiang Zhang, Xianjin Fang:
Complete joint global and local collaborative marginal fisher analysis. Appl. Intell. 53(10): 12873-12887 (2023)
[j12]
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  - journals/ijcse/LinRLZ23
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Yu-e Lin, Zhiyuan Ren, Xingzhu Liang, Shunxiang Zhang:
Parameter-free marginal fisher analysis based on L_2,1-norm regularisation for face recognition. Int. J. Comput. Sci. Eng. 26(2): 210-219 (2023)
[j10]
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Yu-e Lin, Mengfan Li, Xingzhu Liang, Chenxing Xia:
SiamLight: lightweight networks for object tracking via attention mechanisms and pixel-level cross-correlation. J. Real Time Image Process. 20(2): 31 (2023)
2022
[j6]
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Yu-e Lin, Xingzhu Liang, Gan Hu, Xianjin Fang:
Smarter peer learning for online knowledge distillation. Multim. Syst. 28(3): 1059-1067 (2022)
2018
[j2]
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Xingzhu Liang, Yu-e Lin:
Enhanced Parameter-Free Diversity Discriminant Preserving Projections for Face Recognition. Int. J. Pattern Recognit. Artif. Intell. 32(10): 1856013:1-1856013:15 (2018)
2016
[j1]
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Xingzhu Liang, Yu-e Lin:
Maximal Margin Local Preserving Median Fisher Discriminant Analysis for Face Recognition. J. Softw. 11(12): 1172-1181 (2016)
[c3]
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Xingzhu Liang, Yu-e Lin, Guangyu Xu:
Uncorrelated enhanced diversity fisher discriminant analysis for face recognition. ICSAI 2016: 598-602
2013
[c2]
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  - conf/bic-ta/LiangLL13
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Xingzhu Liang, Yu-e Lin, Jingzhao Li:
Kernel Optimal Unsupervised Discriminant Projection and Its Application to Face Recognition. BIC-TA 2013: 89-95
[c1]
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Yu-e Lin, Xingzhu Liang, Yurong Lin:
Kernel semi-supervised marginal fisher analysis and its application to face recognition. ICNC 2013: 946-950

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