A new multi-view articulated human motion tracking algorithm with improved silhouette extraction and view adaptive fusion. - Zhong Liu 004; King To Ng; Shing-Chow Chan; Xiaowei Song (ISCAS, 2013)

Multi-view articulated human body tracking with textured deformable mesh model. - Zhong Liu 004; Shing-Chow Chan; Chong Wang 001; Shuai Zhang 004 (ISCAS, 2015)

Superpixel-Based Hand Gesture Recognition With Kinect Depth Camera. - Chong Wang 001; Zhong Liu 004; Shing-Chow Chan (IEEE Trans. Multim., 2015)

Bayesian unscented Kalman filter for state estimation of nonlinear and non-Gaussian systems. - Zhong Liu 004; Shing-Chow Chan; Ho-Chun Wu 001; Jia-Fei Wu (EUSIPCO, 2016)

Hand gesture recognition based on canonical formed superpixel earth mover's distance. - Chong Wang 001; Zhong Liu 004; Jieyu Zhao (ICME, 2016)

A hand gesture recognition system based on canonical superpixel-graph. - Chong Wang 001; Zhong Liu 004; Minfeng Zhu 002; Jieyu Zhao; Shing-Chow Chan (Signal Process. Image Commun., 2017)

A New Model-Based Method for Multi-View Human Body Tracking and Its Application to View Transfer in Image-Based Rendering. - Zhong Liu 004; Zhouchi Lin; Xiguang Wei; Shing-Chow Chan (IEEE Trans. Multim., 2018)

Automatic Muscle Fiber Orientation Tracking in Ultrasound Images Using a New Adaptive Fading Bayesian Kalman Smoother. - Zhong Liu 004; Shing-Chow Chan; Shuai Zhang 004; Zhiguo Zhang 001; Xin Chen 025 (IEEE Trans. Image Process., 2019)

A Novel Adaptive Fading Kalman Filter-Based Approach to Time-Varying Brain Spectral/Connectivity Analyses of Event-Related EEG Signals. - Jiewei Li; Shing-Chow Chan; Zhong Liu 004; Chunqi Chang (IEEE Access, 2020)

Adaptive Fading Bayesian Unscented Kalman Filter and Smoother for State Estimation of Unmanned Aircraft Systems. - Zhong Liu 004; Shing-Chow Chan (IEEE Access, 2020)

Orientation-independent Feature Matching (OIFM) for Multimodal Retinal Image Registration. - Qiaoliang Li; Shiyu Li; Yajie Wu; Wei Guo; Suwen Qi; Gan Huang; Siping Chen; Zhong Liu 004; Xin Chen 025 (Biomed. Signal Process. Control., 2020)

Diagnosis of Significant Liver Fibrosis by Using a DCNN Model With Fusion of Features From US B-Mode Image and Nakagami Parametric Map: An Animal Study. - Qiang Liu; Zhong Liu 004; Wencong Xu; Huiying Wen; Ming Dai; Xin Chen 025 (IEEE Access, 2021)

Multi-scale information with attention integration for classification of liver fibrosis in B-mode US image. - Xiangfei Feng; Xin Chen 025; Changfeng Dong; Yingxia Liu; Zhong Liu 004; Ruixin Ding; Qinghua Huang (Comput. Methods Programs Biomed., 2022)

Multiparametric Quantitative US Examination of Liver Fibrosis: A Feature-Engineering and Machine-Learning Based Analysis. - Huiying Wen; Wei Zheng; Min Li; Qing Li; Qiang Liu; Jianhua Zhou; Zhong Liu 004; Xin Chen 025 (IEEE J. Biomed. Health Informatics, 2022)

Full Spatial Muscle Fiber Orientation Estimation From Ultrasound Images Using a Multitask Deformable Residual Neural Network. - Bin Huang; Zhong Liu 004; Rui Mao 001; Siping Chen; Xin Chen 025 (EMBC, 2023)

A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images. - Bin Huang; Ziyue Xu 001; Shing-Chow Chan; Zhong Liu 004; Huiying Wen; Chao Hou; Qicai Huang; Meiqin Jiang; Changfeng Dong; Jie Zeng; Ruhai Zou; Bingsheng Huang; et al. (MICCAI (6), 2023)

Automatic Diagnosis of Significant Liver Fibrosis From Ultrasound B-Mode Images Using a Handcrafted-Feature-Assisted Deep Convolutional Neural Network. - Zhong Liu 004; Bin Huang; Huiying Wen; Zhicheng Lu; Qicai Huang; Meiqin Jiang; Changfeng Dong; Yingxia Liu; Xin Chen 025; Haoming Lin (IEEE J. Biomed. Health Informatics, 2023)

A New Robust Adaptive Fading Unscented Kalman Filter-Based Vector Tracking Loop for Mitigating GNSS NLOS Reception. - Mengxia He; Shing-Chow Chan; Bo Chai; Zhong Liu 004 (IEEE Access, 2025)