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Journal Articles
- 2024
[j8]Hongbin Jia
, Qingbo Yin, Mingyu Lu:
Steering Kernel Weighted Guided Image Filtering with Gradient Constraint. Comput. Graph. 119: 103908 (2024)- 2023
- [j7]Hongbin Jia, Qingbo Yin, Mingyu Lu:
Weighted guided image filtering with entropy evaluation weighting. Comput. Graph. 117: 114-123 (2023) - 2022
- [j6]Liran Shen, Meng Joo Er, Weijiang Liu, Yunsheng Fan, Qingbo Yin:
Population structure-learned classifier for high-dimension low-sample-size class-imbalanced problem. Eng. Appl. Artif. Intell. 111: 104828 (2022) - [j5]Liran Shen, Meng Joo Er, Qingbo Yin:
Classification for high-dimension low-sample size data. Pattern Recognit. 130: 108828 (2022) - [j4]Liran Shen, Zhiyuan Ma, Meng Joo Er, Yunsheng Fan, Qingbo Yin:
Blind Adaptive Structure-Preserving Imaging Enhancement for Low-Light Condition. IEEE Signal Process. Lett. 29: 917-921 (2022) - 2020
- [j3]Liran Shen, Qingbo Yin:
Data maximum dispersion classifier in projection space for high-dimension low-sample-size problems. Knowl. Based Syst. 193: 105420 (2020) - [j2]Qingbo Yin, Ehsan Adeli, Liran Shen, Dinggang Shen:
Population-guided large margin classifier for high-dimension low-sample-size problems. Pattern Recognit. 97 (2020) - 2016
- [j1]Pan-Pan Niu, Xiangyang Wang, Qingbo Yin, Liran Shen:
A new robust color image watermarking method for multimedia technology enhanced learning protection. J. Intell. Fuzzy Syst. 31(5): 2553-2564 (2016)
Conference and Workshop Papers
- 2019
- [c12]Jitong Hou, Qingbo Yin, Peiyuan Wu, Mingyu Lu:
Vessel Segmentation Based on Region-Scalable Fitting Energy. ICNC-FSKD 2019: 481-490 - 2018
- [c11]Ming Li, Qingbo Yin, Mingyu Lu:
Retinal Blood Vessel Segmentation Based on Multi-Scale Deep Learning. FedCSIS 2018: 117-123 - 2017
- [c10]Hongbin Jia, Qingbo Yin, Mingyu Lu:
Improved Block-matching and 3D Filtering based on the Complex Wavelet. CISP-BMEI 2017: 1-5 - 2012
- [c9]Qingbo Yin, Liran Shen, Mingyu Lu, Tian'en Shen, Lili Guo:
Estimation of window length for LFM signal. WCSP 2012: 1-4 - 2008
- [c8]Qingbo Yin, Liran Shen, Jong-Nam Kim:
Texture and Target Orientation Estimation from Phase Congruency. PRICAI 2008: 1116-1120 - 2007
- [c7]Qingbo Yin, Jong-Nam Kim, Kwang-Seok Moon:
Rotation Invariant Texture Classification Using Gabor Wavelets. International Conference on Computational Science (3) 2007: 10-17 - [c6]Qingbo Yin, Jong-Nam Kim:
Rotation Invariant Texture Classification Using Circular Gabor Filter Banks. International Conference on Computational Science (3) 2007: 149-152 - 2006
- [c5]Liran Shen, Qingbo Yin, Xueyao Li, Huiqiang Wang:
Speech Enhancement in Short-Wave Channel Based on Empirical Mode Decomposition. CSR 2006: 591-599 - [c4]Liran Shen, Xueyao Li, Qingbo Yin, Huiqiang Wang:
Speech Enhancement in Short-Wave Channel Based on ICA in Empirical Mode Decomposition Domain. ICA 2006: 708-713 - [c3]Liran Shen, Qingbo Yin, Xueyao Li, Huiqiang Wang:
Speech Stream Detection in Short-wave Channel Based on Cepstral of Auditory Wavelet Packets. IMSCCS (1) 2006: 203-207 - 2005
- [c2]Qingbo Yin, Liran Shen, Rubo Zhang, Xueyao Li:
A Novel Anomaly Detection Using Small Training Sets. IDEAL 2005: 258-263 - 2004
- [c1]Qingbo Yin, Rubo Zhang, Xueyao Li:
An new intrusion detection method based on linear prediction. InfoSecu 2004: 160-165
Informal and Other Publications
- 2020
- [i3]Liran Shen, Qingbo Yin:
The classification for High-dimension low-sample size data. CoRR abs/2006.13018 (2020) - [i2]Liran Shen, Meng Joo Er, Qingbo Yin:
Population structure-learned classifier for high-dimension low-sample-size class-imbalanced problem. CoRR abs/2009.04722 (2020) - 2019
- [i1]Qingbo Yin, Ehsan Adeli, Liran Shen, Dinggang Shen:
Population-Guided Large Margin Classifier for High-Dimension Low -Sample-Size Problems. CoRR abs/1901.01377 (2019)
Coauthor Index
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