An new intrusion detection method based on linear prediction. - Qingbo Yin; Rubo Zhang; Xueyao Li (InfoSecu, 2004)

A Novel Anomaly Detection Using Small Training Sets. - Qingbo Yin; Liran Shen; Rubo Zhang; Xueyao Li (IDEAL, 2005)

Speech Enhancement in Short-Wave Channel Based on Empirical Mode Decomposition. - Liran Shen; Qingbo Yin; Xueyao Li; Huiqiang Wang (CSR, 2006)

Speech Enhancement in Short-Wave Channel Based on ICA in Empirical Mode Decomposition Domain. - Liran Shen; Xueyao Li; Qingbo Yin; Huiqiang Wang (ICA, 2006)

Speech Stream Detection in Short-wave Channel Based on Cepstral of Auditory Wavelet Packets. - Liran Shen; Qingbo Yin; Xueyao Li; Huiqiang Wang (IMSCCS (1), 2006)

Rotation Invariant Texture Classification Using Circular Gabor Filter Banks. - Qingbo Yin; Jong-Nam Kim (International Conference on Computational Science (3), 2007)

Rotation Invariant Texture Classification Using Gabor Wavelets. - Qingbo Yin; Jong-Nam Kim; Kwang-Seok Moon (International Conference on Computational Science (3), 2007)

Texture and Target Orientation Estimation from Phase Congruency. - Qingbo Yin; Liran Shen; Jong-Nam Kim (PRICAI, 2008)

Estimation of window length for LFM signal. - Qingbo Yin; Liran Shen; Mingyu Lu; Tian'en Shen; Lili Guo (WCSP, 2012)

A new robust color image watermarking method for multimedia technology enhanced learning protection. - Pan-Pan Niu; Xiangyang Wang 001; Qingbo Yin; Liran Shen (J. Intell. Fuzzy Syst., 2016)

Improved Block-matching and 3D Filtering based on the Complex Wavelet. - Hongbin Jia; Qingbo Yin; Mingyu Lu (CISP-BMEI, 2017)

Retinal Blood Vessel Segmentation Based on Multi-Scale Deep Learning. - Ming Li; Qingbo Yin; Mingyu Lu (FedCSIS, 2018)

Vessel Segmentation Based on Region-Scalable Fitting Energy. - Jitong Hou; Qingbo Yin; Peiyuan Wu; Mingyu Lu (ICNC-FSKD, 2019)

The classification for High-dimension low-sample size data. - Liran Shen; Qingbo Yin (CoRR, 2020)

Population structure-learned classifier for high-dimension low-sample-size class-imbalanced problem. - Liran Shen; Meng Joo Er; Qingbo Yin (CoRR, 2020)

Data maximum dispersion classifier in projection space for high-dimension low-sample-size problems. - Liran Shen; Qingbo Yin (Knowl. Based Syst., 2020)

Population-guided large margin classifier for high-dimension low-sample-size problems. - Qingbo Yin; Ehsan Adeli 001; Liran Shen; Dinggang Shen (Pattern Recognit., 2020)

Coordinated Optimization Control Technology of Clean Energy Consumption Based on Spatiotemporal Characteristics of Controllable Load. - Weichun Ge; Shunjiang Wang; Qingbo Yin; Feng Sun; Peng Jin; Shengbin Chi (ICGEC, 2021)

Population structure-learned classifier for high-dimension low-sample-size class-imbalanced problem. - Liran Shen; Meng Joo Er; Weijiang Liu; Yunsheng Fan; Qingbo Yin (Eng. Appl. Artif. Intell., 2022)

Classification for high-dimension low-sample size data. - Liran Shen; Meng Joo Er; Qingbo Yin (Pattern Recognit., 2022)

Blind Adaptive Structure-Preserving Imaging Enhancement for Low-Light Condition. - Liran Shen; Zhiyuan Ma; Meng Joo Er; Yunsheng Fan; Qingbo Yin (IEEE Signal Process. Lett., 2022)

Weighted guided image filtering with entropy evaluation weighting. - Hongbin Jia; Qingbo Yin; Mingyu Lu (Comput. Graph., 2023)

Steering Kernel Weighted Guided Image Filtering with Gradient Constraint. - Hongbin Jia; Qingbo Yin; Mingyu Lu (Comput. Graph., 2024)