Speech Hiding Based on Auditory Wavelet. - Liran Shen; Xueyao Li; Huiqiang Wang; Rubo Zhang (ICCSA (4), 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)

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

A Robust Particle Tracker via Markov Chain Monte Carlo Posterior Sampling. - Fasheng Wang; Mingyu Lu; Liran Shen (ACCV Workshops (2), 2012)

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)

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)

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)

SCW-YOLO: An Improved Algorithm for Fall Detection Based on Deep Learning. - Yongshuai He; Liran Shen; Ying Hu (ICIC (11), 2024)