A matrix-pencil approach to blind separation of non-white sources in white noise. - Chunqi Chang; Zhi Ding 001; Sze-Fong Yau; Francis H. Y. Chan (ICASSP, 1998)

A matrix-pencil approach to blind separation of colored nonstationary signals. - Chunqi Chang; Zhi Ding 001; Sze-Fong Yau; Francis H. Y. Chan (IEEE Trans. Signal Process., 2000)

Blind separation of convolutive mixtures based on second order and third order statistics. - Zhongfu Ye; Chunqi Chang; Chen Wang; Jian Zhao; Francis H. Y. Chan (ICASSP (5), 2003)

Gene selection for Brain Cancer Classification. - Yuk Yee Leung; Chunqi Chang; Y. S. Hung; Peter Chin Wan Fung (EMBC, 2006)

On a Sparse Component Analysis Approach to Blind Source Separation. - Chunqi Chang; Peter Chin Wan Fung; Yeung Sam Hung (ICA, 2006)

Order Statistic Correlation Coefficient and Its Application to Association Measurement of Biosignals. - Weichao Xu; Chunqi Chang; Y. S. Hung; S. K. Kwan; Peter Chin Wan Fung (ICASSP (2), 2006)

Real-time data-reusing adaptive learning of a radial basis function network for tracking evoked potentials. - Wei Qiu; Chunqi Chang; Wenqing Liu; Paul W. F. Poon; Yong Hu 003; Francis K. Lam; Roger P. Hamernik; Gang Wei; Francis H. Y. Chan (IEEE Trans. Biomed. Eng., 2006)

Order Statistics Correlation Coefficient as a Novel Association Measurement With Applications to Biosignal Analysis. - Weichao Xu; Chunqi Chang; Yeung Sam Hung; S. K. Kwan; Peter Chin Wan Fung (IEEE Trans. Signal Process., 2007)

Fast network component analysis (FastNCA) for gene regulatory network reconstruction from microarray data. - Chunqi Chang; Zhi Ding 001; Yeung Sam Hung; Peter Chin Wan Fung (Bioinform., 2008)

Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient. - Jianchao Yao; Chunqi Chang; Mari L. Salmi; Yeung Sam Hung; Ann E. Loraine; Stanley J. Roux (BMC Bioinform., 2008)

Asymptotic Properties of Order Statistics Correlation Coefficient in the Normal Cases. - Weichao Xu; Chunqi Chang; Yeung Sam Hung; Peter Chin Wan Fung (IEEE Trans. Signal Process., 2008)

A new optimization algorithm for network component analysis based on convex programming. - Chunqi Chang; Yeung Sam Hung; Zhi Ding 001 (ICASSP, 2009)

Nonnegative Network Component Analysis by Linear Programming for Gene Regulatory Network Reconstruction. - Chunqi Chang; Zhi Ding 001; Yeung Sam Hung (ICA, 2009)

An Improved Direction-of-arrival Estimation via Phase Information of Sparse Solution. - Xiansheng Guo; Qun Wan; Chunqi Chang; Edmund Y. Lam (ISCAS, 2009)

An Efficient Convex Nonnegative Network Component Analysis for Gene Regulatory Network Reconstruction. - Jisheng Dai; Chunqi Chang; Zhongfu Ye; Yeung Sam Hung (PRIB, 2009)

An efficient greedy scheduler for zero-forcing dirty-paper coding. - Jisheng Dai; Chunqi Chang; Zhongfu Ye; Yeung Sam Hung (IEEE Trans. Commun., 2009)

A graph-based elastic net for variable selection and module identification for genomic data analysis. - Zheng Xia; Xiaobo Zhou 001; Wei Chen 037; Chunqi Chang (BIBM, 2010)

Source localization using a sparse representation framework to achieve superresolution. - Xiansheng Guo; Qun Wan; Chunqi Chang; Edmund Y. Lam (Multidimens. Syst. Signal Process., 2010)

A Chromatic Transient Visual Evoked Potential Based Encoding/Decoding Approach for Brain-Computer Interface. - Sui Man Lai; Zhiguo Zhang 001; Yeung Sam Hung; Zhendong Niu; Chunqi Chang (IEEE J. Emerg. Sel. Topics Circuits Syst., 2011)

Application of Granger causality to gene regulatory network discovery. - Gary Hak Fui Tam; Chunqi Chang; Yeung Sam Hung (ISB, 2012)

Noniterative Convex Optimization Methods for Network Component Analysis. - Neil Jacklin; Zhi Ding 001; Wei Chen 037; Chunqi Chang (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Linear Precoder Optimization for MIMO Systems with Joint Power Constraints. - Jisheng Dai; Chunqi Chang; Weichao Xu; Zhongfu Ye (IEEE Trans. Commun., 2012)

Convergence Analysis for Initial Condition Estimation in Coupled Map Lattice Systems. - Lanxin Lin; Minfen Shen; Hing-Cheung So; Chunqi Chang (IEEE Trans. Signal Process., 2012)

A novel network and sparsity constraint regression model for functional module identification in genomic data analysis. - Zheng Xia; Wei Chen 037; Chunqi Chang; Xiaobo Zhou 001 (Int. J. Data Min. Bioinform., 2013)

On the SVMpath Singularity. - Jisheng Dai; Chunqi Chang; Fei Mai; Dean Zhao; Weichao Xu (IEEE Trans. Neural Networks Learn. Syst., 2013)

Age-related changes of EEG and its source in resting state. - J. C. Fan; R. T. Cheung; L. W. Chu; Peter Chin Wan Fung; Chunqi Chang; H. H. Sik; M. M. Zhang; B. J. Xie; Yeung Sam Hung; Junling Gao (DSP, 2014)

Power allocation for maximizing the MAC capacity via majorization. - Jisheng Dai; Chunqi Chang (EURASIP J. Adv. Signal Process., 2014)

Homotopy algorithm for l1-norm minimisation problems. - Jisheng Dai; Weichao Xu; Jin Zhang; Chunqi Chang (IET Signal Process., 2015)

Sparse Bayesian Learning for DOA Estimation with Mutual Coupling. - Jisheng Dai; Nan Hu 001; Weichao Xu; Chunqi Chang (Sensors, 2015)

Source separation of ERP components in brain responses to reward evaluation. - Feiyan Duan; Fang Cui; Yuejia Luo; Chunqi Chang (DSP, 2016)

Source localization for sparse array using nonnegative sparse Bayesian learning. - Nan Hu 001; Bing Sun; Jiajun Wang; Jisheng Dai; Chunqi Chang (Signal Process., 2016)

Effective subset approach for SVMpath singularities. - Jisheng Dai; Weichao Xu; Zhongfu Ye; Chunqi Chang (Pattern Recognit. Lett., 2017)

Root Sparse Bayesian Learning for Off-Grid DOA Estimation. - Jisheng Dai; Xu Bao; Weichao Xu; Chunqi Chang (IEEE Signal Process. Lett., 2017)

Underdetermined DOA Estimation Method for Wideband Signals Using Joint Nonnegative Sparse Bayesian Learning. - Nan Hu 001; Bing Sun; Yi Zhang; Jisheng Dai; Jiajun Wang; Chunqi Chang (IEEE Signal Process. Lett., 2017)

Homotopy Approach for Energy-Efficient MIMO Systems With Zero-Forcing Transceivers. - Jisheng Dai; Weichao Xu; Zhongfu Ye; Nan Hu 001; Chunqi Chang (IEEE Trans. Veh. Technol., 2017)

Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images. - Ahmed Elazab; Changmiao Wang; Syed Jamal Safdar Gardezi; Hongmin Bai; Tianfu Wang 001; Baiying Lei; Chunqi Chang (EMBC, 2020)

Comparison of Machine Learning and Deep Learning Approaches for Decoding Brain Computer Interface: An fNIRS Study. - Jiahao Lu; Hongjie Yan; Chunqi Chang; Nizhuan Wang 001 (IIP, 2020)

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)

GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images. - Ahmed Elazab; Changmiao Wang; Syed Jamal Safdar Gardezi; Hongmin Bai; Qingmao Hu; Tianfu Wang 001; Chunqi Chang; Baiying Lei (Neural Networks, 2020)

Robust Bayesian learning approach for massive MIMO channel estimation. - Jisheng Dai; Lei Zhou 012; Chunqi Chang; Weichao Xu (Signal Process., 2020)

RSI-Net: Two-Stream Deep Neural Network Integrating GCN and Atrous CNN for Semantic Segmentation of High-resolution Remote Sensing Images. - Shuang He; Xia Lu; Jason Gu; Haitong Tang; Qin Yu; Kaiyue Liu; Haozhou Ding; Chunqi Chang; Nizhuan Wang 001 (CoRR, 2021)

Robust DOA estimation for burst impulsive noise. - Mengya Guo; Yueping Sun; Jisheng Dai; Chunqi Chang (Digit. Signal Process., 2021)

Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images. - Qian Luo; Weixiang Liu; Lili Jin; Chunqi Chang; Ziwen Peng (Frontiers Neuroinformatics, 2021)

Uplink Channel Estimation for Massive MIMO Systems With Impulsive Noise. - Lei Zhou 012; Jisheng Dai; Weichao Xu; Chunqi Chang (IEEE Commun. Lett., 2021)

Fast Variational Bayesian Inference for Temporally Correlated Sparse Signal Recovery. - Zheng Cao 002; Jisheng Dai; Weichao Xu; Chunqi Chang (IEEE Signal Process. Lett., 2021)

RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Images-Based Semantic Segmentation. - Shuang He; Xia Lu; Jason Gu; Haitong Tang; Qin Yu; Kaiyue Liu; Haozhou Ding; Chunqi Chang; Nizhuan Wang 001 (IEEE Access, 2022)

Nonnegative block-sparse Bayesian learning algorithm for EEG brain source localization. - Mingwen Qu; Chunqi Chang; Jiajun Wang; Jianling Hu; Nan Hu 001 (Biomed. Signal Process. Control., 2022)

Robust uplink channel estimation for massive MIMO systems with general array geometry. - Guoying Zhu; Jisheng Dai; Chunqi Chang; Weichao Xu (Digit. Signal Process., 2022)

Inter-patient ECG classification with i-vector based unsupervised patient adaptation. - Sean Shensheng Xu; Man-Wai Mak; Chunqi Chang (Expert Syst. Appl., 2022)

Disturbance observer supported fuzzy model based controller with application to bilateral teleoperation systems. - Muhammad Usman Asad; Jason Gu; Umar Farooq 001; Marius M. Balas; Zheng Chen 004; Khurram Karim Qureshi; Ghulam Abbas 001; Chunqi Chang (J. Intell. Fuzzy Syst., 2022)

Sparse Channel Estimation for Intelligent Reflecting Surface Assisted Massive MIMO Systems. - Lei Zhou 012; Jisheng Dai; Weichao Xu; Chunqi Chang (IEEE Trans. Green Commun. Netw., 2022)

Bearing Fault Diagnosis With Frequency Sparsity Learning. - Zheng Cao 002; Jisheng Dai; Weichao Xu; Chunqi Chang (IEEE Trans. Instrum. Meas., 2022)

Brainstem Functional Parcellation Based on Spatial Connectivity Features Using Functional Magnetic Resonance Imaging. - Meiyi Wang; Zuyang Liang; Cong Zhang; Yuhan Zheng; Chunqi Chang; Jiayue Cai (CICAI (2), 2023)

Three-dimensional magneto-acousto-electrical tomography (3D MAET) with single-element ultrasound transducer and coded excitation: A phantom validation study. - Tong Sun 008; Linguo Yu; Dingqian Deng; Mengmeng Yu; Yi Chen; Chunqi Chang; Mian Chen; Siping Chen; Xin Chen 025; Haoming Lin (Neurocomputing, 2023)

Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions. - Ahmed Elazab; Changmiao Wang; Mohammed Abdelaziz; Jian Zhang; Jason Gu; Juan Manuel Górriz; Yudong Zhang 001; Chunqi Chang (Expert Syst. Appl., 2024)

Iterative Reconstruction Algorithms in Magneto-Acousto-Electrical Computed Tomography (MAE-CT) for Image Quality Improvement. - Tong Sun 008; Mengmeng Yu; Linguo Yu; Dingqian Deng; Mian Chen; Haoming Lin; Siping Chen; Chunqi Chang; Xin Chen 025 (IEEE Trans. Biomed. Eng., 2024)

Sparse Bayesian Learning Approach for Compound Bearing Fault Diagnosis. - Zheng Cao 002; Jisheng Dai; Weichao Xu; Chunqi Chang (IEEE Trans. Ind. Informatics, 2024)

Joint Target Detection and Channel Estimation for Distributed Massive MIMO ISAC Systems. - Lei Zhou 012; Jisheng Dai; Weichao Xu; Chunqi Chang (IEEE Trans. Cogn. Commun. Netw., 2025)