A Novel Robust Mesh Watermarking Based on BNBW. - Liping Chen; Xiangzeng Kong; Bin Weng; Zhiqiang Yao; Rijing Pan (EURASIP J. Adv. Signal Process., 2011)

A Geometric Moving Average Martingale method for detecting changes in data streams. - Xiangzeng Kong; Yaxin Bi; David H. Glass (SGAI Conf., 2012)

An Anomaly Analysis Method Based on Morphological Features. - Xiangzeng Kong; Yaxin Bi; David H. Glass (SMC, 2013)

Kernel learning method for distance-based classification of categorical data. - Lifei Chen; Gongde Guo; Shengrui Wang; Xiangzeng Kong (UKCI, 2014)

Detecting Seismic Anomalies in Outgoing Long-Wave Radiation Data. - Xiangzeng Kong; Yaxin Bi; David H. Glass (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Relationship of Stress Changes and Anomalies in OLR Data of the Wenchuan and Lushan Earthquakes. - Xiangzeng Kong; Nan Li 017; Ling Lin; Pan Xiong; Jun Qi 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Detecting anomalies in sequential data augmented with new features. - Xiangzeng Kong; Yaxin Bi; David H. Glass (Artif. Intell. Rev., 2020)

Anomalies in continuous GPS data as precursors of 15 large earthquakes in Western North America during 2007-2016. - Nan Li 017; Xiangzeng Kong; Ling Lin (Earth Sci. Informatics, 2020)

Automatic classification of EEG signals via deep learning. - Tao Wu; Xiangzeng Kong; Yiwen Wang; Xue Yang; Jingxuan Liu; Jun Qi 001 (INDIN, 2021)

Automatic diagnostics of EEG pathology via capsule network with multi-level feature fusion. - Tao Wu; Yunning Zhong; Yujie Fan; Xiangzeng Kong; Lifei Chen (BIBM, 2022)

Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. - Shuhao Zhang 007; Gaoshan Bi; Jun Qi 001; Yun Yang 003; Xiangzeng Kong; Fengtao Nan; Menghui Zhou; Po Yang 001 (IEEE Internet Things J., 2023)

SCNet: A spatial feature fused convolutional network for multi-channel EEG pathology detection. - Tao Wu; Yujie Fan; Yunning Zhong; Xiu Cheng; Xiangzeng Kong; Lifei Chen (Biomed. Signal Process. Control., 2023)

EEG-based Epilepsy Detection Using Robust Feature Learning Model with Manhattan Distance and L1 Regularization. - Weihai Huang; Weize Yang; Zhicong Luo; Jun Qi 001; Qiyan Sun; Xiangzeng Kong (BIBM, 2024)

ParaBFT: An Efficient Parallel Asynchronous BFT Agreement. - Yu Lan; Hui Huang; Qingming He; Caixia Wu; Shuaike Wu; Xiangzeng Kong (BIBM, 2024)

Motor Imagery EEG Signals Decoding with Multi-view Weighted Features. - Nan Li 017; Wangsen Li; Tingting Zhang; Dong Huang; Junfeng Han; Xiangzeng Kong (ICAI (2), 2024)

Improved Motor Imagery Classification Using Elastic Net-based Feature Optimization and a Heterogeneous Ensemble Classifier. - Shimiao Chen; Xiangzeng Kong; Junfeng Han; Cailin Wu; Tingting Zhang (ISPA, 2024)

Sound-based Bee Colony State Analysis Using Compact MFCC Patterns. - Weihai Huang; Weize Yang; Zhicong Luo; Jun Qi 001; Tingting Zhang; Xiangzeng Kong (ISPA, 2024)

Depression Detection with EEG Based on Mutual Information Regularization. - Haoyu Lin; Tianyuan Ma; Chen Zhao; Jun Qi; Tingting Zhang; Xiangzeng Kong (ISPA, 2024)

Electroencephalography-Based Motor Imagery Classification Using Multi-Scale Feature Fusion and Adaptive Lasso. - Shimiao Chen; Nan Li 017; Xiangzeng Kong; Dong Huang; Tingting Zhang (Big Data Cogn. Comput., 2024)

Motor Imagery EEG Signal Classification Using Distinctive Feature Fusion with Adaptive Structural LASSO. - Weihai Huang; Xinyue Liu; Weize Yang; Yihua Li; Qiyan Sun; Xiangzeng Kong (Sensors, 2024)

A Lightweight and High-Precision Passion Fruit YOLO Detection Model for Deployment in Embedded Devices. - Qiyan Sun; Pengbo Li; Chentao He; Qiming Song; Jierui Chen; Xiangzeng Kong; Zhicong Luo (Sensors, 2024)

Sleep Stage Classification Via Multi-View Based Self-Supervised Contrastive Learning of EEG. - Chen Zhao; Wei Wu; Haoyi Zhang; Ruiyan Zhang; Xinyue Zheng; Xiangzeng Kong (IEEE J. Biomed. Health Informatics, 2024)