Pre-Processing of CT Brain Images for Content-Based Image Retrieval. - Fei Peng; Kehong Yuan; Shu Feng; Wufan Chen (BMEI (2), 2008)

Brain CT Image Feature Extraction Using Nonnegative Tensor Factorization. - Jiying Zou; Kehong Yuan; Weixiang Liu; Shu Feng; Ziqiang Chen; Wufan Chen (IWCIA Special Track on Applications, 2008)

Semantic Feature Extraction for Brain CT Image Clustering Using Nonnegative Matrix Factorization. - Weixiang Liu; Fei Peng; Shu Feng; Jiangsheng You; Ziqiang Chen; Jian Wu; Kehong Yuan; Datian Ye (ICMB, 2008)

Self-organizing neural networks for behavior modeling in games. - Shu Feng; Ah-Hwee Tan (IJCNN, 2010)

PIC-based iterative SDR detector for OFDM systems in doubly-selective fading channels. - Shu Feng; Hlaing Minn; Liang Yan; Jinhui Lu (IEEE Trans. Wirel. Commun., 2010)

Improved joint compensation scheme of transmitter and receiver IQ imbalances in OFDM systems. - Liang Yan; Shu Feng; Xiajie Shi; Haiqiang Fan; Stevan M. Berber; Jinhui Lu (WCSP, 2011)

An Efficient Power Allocation Scheme for Leakage-Based Precoding in Multi-Cell Multiuser MIMO Downlink. - Shu Feng; Michael Mao Wang; Yaxi Wang; Haiqiang Fan; Jinhui Lu (IEEE Commun. Lett., 2011)

Probability density derivation and analysis of SINR in massive MIMO systems with MF beamformer. - Shu Feng; Gu Chen; Michael Mao Wang; Stevan M. Berber; Xiaohu You 001 (CoRR, 2014)

Research on hidden malicious user detection problem. - Tingting Liu; Shu Feng (Secur. Commun. Networks, 2014)

Computational techniques for modeling non-player characters in games - Shu Feng (2014)

Real options analysis for smart grid: the role of information technology and public policy. - Shu Feng; Jing Zhang 006; Yue Gao 014 (DG.O, 2015)

Robust Face Recognition Under Varying Illumination and Occlusion via Single Layer Networks. - Shu Feng (CCBR, 2016)

Towards autonomous behavior learning of non-player characters in games. - Shu Feng; Ah-Hwee Tan (Expert Syst. Appl., 2016)

Investment uncertainty analysis for smart grid adoption: A real options approach. - Shu Feng; Jing Zhang 006; Yue Gao 014 (Inf. Polity, 2016)

On channel estimation in vehicular networks. - Abdeldime Mohamed Salih Abdelgader; Shu Feng; Lenan Wu (IET Commun., 2017)

Cascaded K-means convolutional feature learner and its application to face recognition. - Daoxiang Zhou; Dan Yang 001; Xiaohong Zhang 002; Sheng Huang 001; Shu Feng (J. Electronic Imaging, 2017)

Exploiting the Randomness Inherent of the Channel for Secret Key Sharing in Vehicular Communications. - Abdeldime Mohamed Salih Abdelgader; Shu Feng; Lenan Wu (Int. J. Intell. Transp. Syst. Res., 2018)

A Single-Layer Wideband Differential-Fed Microstrip Patch Antenna With Complementary Split-Ring Resonators Loaded. - Shu Feng; Li Zhang 051; Hong-Wei Yu; Yi-Xuan Zhang; Yong-Chang Jiao (IEEE Access, 2019)

A fast video haze removal algorithm via mixed transmissivity optimisation. - Jianbo Xu; Nanjun Ma; Jian Ke; Eileen Jianxun Yang; Shu Feng (Int. J. Embed. Syst., 2019)

A novel variational model for noise robust document image binarization. - Shu Feng (Neurocomputing, 2019)

Liquidity Risk and Mutual Fund Performance. - Xi Dong; Shu Feng; Ronnie Sadka (Manag. Sci., 2019)

Discriminative Probabilistic Latent Semantic Analysis with Application to Single Sample Face Recognition. - Daoxiang Zhou; Dan Yang 001; Xiaohong Zhang 002; Sheng Huang 001; Shu Feng (Neural Process. Lett., 2019)

An algorithm for determining data forwarding strategy based on recommended trust value in MANET. - Jianbo Xu; Shu Feng; Wei Liang 005; Jian Ke; Xiangwei Meng; Ruili Zhang; Danping Shou (Int. J. Embed. Syst., 2020)

Analysis and Verification of Bisimulation Relationship for Learning Time-Behavior Sequence. - Shu Feng; Yi Zhu; Mei Song; Yuxiang Gao (DSA, 2022)

Effective document image binarization via a convex variational level set model. - Shu Feng (Appl. Math. Comput., 2022)

M3SPCANet: A simple and effective ConvNets with unsupervised predefined filters for face recognition. - Daoxiang Zhou; Shu Feng (Eng. Appl. Artif. Intell., 2022)

Kernel pooling feature representation of pre-trained convolutional neural networks for leaf recognition. - Shu Feng (Multim. Tools Appl., 2022)

Retinal vessel image segmentation algorithm based on encoder-decoder structure. - Zhengli Zhai; Shu Feng; Luyao Yao; Penghui Li (Multim. Tools Appl., 2022)

State of the art on adversarial attacks and defenses in graphs. - Zhengli Zhai; Penghui Li; Shu Feng (Neural Comput. Appl., 2023)

Efficient face anti-spoofing via head-aware transformer based knowledge distillation with 5 MB model parameters. - Jun Zhang 095; Yunfei Zhang; Feixue Shao; Xuetao Ma 001; Shu Feng; Yongfei Wu; Daoxiang Zhou (Appl. Soft Comput., 2024)

Swin Transformer based detection and segmentation networks for measurement and quantification analysis of arteriolar vessels from renal whole slide images. - Chenyang Zhou; Xueyu Liu; Shaohua Liang; Yexin Lai; Miao Che; Ming Li; Zhenhuan Xu; Shu Feng; Yongfei Wu (Biomed. Signal Process. Control., 2024)

MpMsCFMA-Net: Multi-path Multi-scale Context Feature Mixup and Aggregation Network for medical image segmentation. - Miao Che; Zongfei Wu; Jiahao Zhang; Xilin Liu; Shuai Zhang; Yifei Liu; Shu Feng; Yongfei Wu (Eng. Appl. Artif. Intell., 2024)

ACAN: A plug-and-play Adaptive Center-Aligned Network for unsupervised domain adaptation. - Yunfei Zhang; Jun Zhang 095; Tonglu Li; Feixue Shao; Xuetao Ma 001; Yongfei Wu; Shu Feng; Daoxiang Zhou (Eng. Appl. Artif. Intell., 2024)

Level set guided region prototype rectification network for retinal vessel segmentation. - Yifei Liu; Qingtian Wu; Xueyu Liu; Junyu Lu; Zhenhuan Xu; Yongfei Wu; Shu Feng (Biomed. Signal Process. Control., 2024)

Research on the Dirichlet problem for a class of augmented k-Hessian equation. - Shu Feng; Ling Mi (J. Appl. Math. Comput., 2025)