Chunqi Chang

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 29

Top Topics

Functional Magnetic Resonance Imaging

Sparse Bayesian Learning

Top Venues

IEEE Signal Process. Lett.

Signal Process.

Publications

Zheng Cao, Jisheng Dai, Weichao Xu, Chunqi Chang
Sparse Bayesian Learning Approach for Compound Bearing Fault Diagnosis. IEEE Trans. Ind. Informatics 20 (2) (2024)
Tong Sun, Mengmeng Yu, Linguo Yu, Dingqian Deng, Mian Chen, Haoming Lin, Siping Chen, Chunqi Chang, Xin Chen
Iterative Reconstruction Algorithms in Magneto-Acousto-Electrical Computed Tomography (MAE-CT) for Image Quality Improvement. IEEE Trans. Biomed. Eng. 71 (2) (2024)
Ahmed Elazab, Changmiao Wang, Mohammed Abdelaziz, Jian Zhang, Jason Gu, Juan Manuel Górriz, Yudong Zhang, Chunqi Chang
Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions. Expert Syst. Appl. 255 (2024)
Tong Sun, Linguo Yu, Dingqian Deng, Mengmeng Yu, Yi Chen, Chunqi Chang, Mian Chen, Siping Chen, Xin Chen, Haoming Lin
Three-dimensional magneto-acousto-electrical tomography (3D MAET) with single-element ultrasound transducer and coded excitation: A phantom validation study. Neurocomputing 536 (2023)
Meiyi Wang, Zuyang Liang, Cong Zhang, Yuhan Zheng, Chunqi Chang, Jiayue Cai
Brainstem Functional Parcellation Based on Spatial Connectivity Features Using Functional Magnetic Resonance Imaging. CICAI (2) (2023)
Muhammad Usman Asad, Jason Gu, Umar Farooq, Marius M. Balas, Zheng Chen, Khurram Karim Qureshi, Ghulam Abbas, Chunqi Chang
Disturbance observer supported fuzzy model based controller with application to bilateral teleoperation systems. J. Intell. Fuzzy Syst. 43 (2) (2022)
Sean Shensheng Xu, Man-Wai Mak, Chunqi Chang
Inter-patient ECG classification with i-vector based unsupervised patient adaptation. Expert Syst. Appl. 210 (2022)
Guoying Zhu, Jisheng Dai, Chunqi Chang, Weichao Xu
Robust uplink channel estimation for massive MIMO systems with general array geometry. Digit. Signal Process. 132 (2022)
Zheng Cao, Jisheng Dai, Weichao Xu, Chunqi Chang
Bearing Fault Diagnosis With Frequency Sparsity Learning. IEEE Trans. Instrum. Meas. 71 (2022)
Mingwen Qu, Chunqi Chang, Jiajun Wang, Jianling Hu, Nan Hu
Nonnegative block-sparse Bayesian learning algorithm for EEG brain source localization. Biomed. Signal Process. Control. 77 (2022)
Shuang He, Xia Lu, Jason Gu, Haitong Tang, Qin Yu, Kaiyue Liu, Haozhou Ding, Chunqi Chang, Nizhuan Wang
RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Images-Based Semantic Segmentation. IEEE Access 10 (2022)
Lei Zhou, Jisheng Dai, Weichao Xu, Chunqi Chang
Sparse Channel Estimation for Intelligent Reflecting Surface Assisted Massive MIMO Systems. IEEE Trans. Green Commun. Netw. 6 (1) (2022)
Shuang He, Xia Lu, Jason Gu, Haitong Tang, Qin Yu, Kaiyue Liu, Haozhou Ding, Chunqi Chang, Nizhuan Wang
RSI-Net: Two-Stream Deep Neural Network Integrating GCN and Atrous CNN for Semantic Segmentation of High-resolution Remote Sensing Images. CoRR (2021)
Qian Luo, Weixiang Liu, Lili Jin, Chunqi Chang, Ziwen Peng
Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images. Frontiers Neuroinformatics 15 (2021)
Zheng Cao, Jisheng Dai, Weichao Xu, Chunqi Chang
Fast Variational Bayesian Inference for Temporally Correlated Sparse Signal Recovery. IEEE Signal Process. Lett. 28 (2021)
Lei Zhou, Jisheng Dai, Weichao Xu, Chunqi Chang
Uplink Channel Estimation for Massive MIMO Systems With Impulsive Noise. IEEE Commun. Lett. 25 (5) (2021)
Mengya Guo, Yueping Sun, Jisheng Dai, Chunqi Chang
Robust DOA estimation for burst impulsive noise. Digit. Signal Process. 114 (2021)
Ahmed Elazab, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, Qingmao Hu, Tianfu Wang, Chunqi Chang, Baiying Lei
GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images. Neural Networks 132 (2020)
Jisheng Dai, Lei Zhou, Chunqi Chang, Weichao Xu
Robust Bayesian learning approach for massive MIMO channel estimation. Signal Process. 168 (2020)
Ahmed Elazab, Changmiao Wang, Syed Jamal Safdar Gardezi, Hongmin Bai, Tianfu Wang, Baiying Lei, Chunqi Chang
Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images. EMBC (2020)
Jiewei Li, Shing-Chow Chan, Zhong Liu, Chunqi Chang
A Novel Adaptive Fading Kalman Filter-Based Approach to Time-Varying Brain Spectral/Connectivity Analyses of Event-Related EEG Signals. IEEE Access 8 (2020)
Jiahao Lu, Hongjie Yan, Chunqi Chang, Nizhuan Wang
Comparison of Machine Learning and Deep Learning Approaches for Decoding Brain Computer Interface: An fNIRS Study. Intelligent Information Processing (2020)
Jisheng Dai, Xu Bao, Weichao Xu, Chunqi Chang
Root Sparse Bayesian Learning for Off-Grid DOA Estimation. IEEE Signal Process. Lett. 24 (1) (2017)
Jisheng Dai, Weichao Xu, Zhongfu Ye, Chunqi Chang
Effective subset approach for SVMpath singularities. Pattern Recognit. Lett. 100 (2017)
Nan Hu, Bing Sun, Yi Zhang, Jisheng Dai, Jiajun Wang, Chunqi Chang
Underdetermined DOA Estimation Method for Wideband Signals Using Joint Nonnegative Sparse Bayesian Learning. IEEE Signal Process. Lett. 24 (5) (2017)
Jisheng Dai, Weichao Xu, Zhongfu Ye, Nan Hu, Chunqi Chang
Homotopy Approach for Energy-Efficient MIMO Systems With Zero-Forcing Transceivers. IEEE Trans. Veh. Technol. 66 (2) (2017)
Jisheng Dai, Xu Bao, Weichao Xu, Chunqi Chang
Root Sparse Bayesian Learning for Off-Grid DOA Estimation. CoRR (2016)
Nan Hu, Bing Sun, Jiajun Wang, Jisheng Dai, Chunqi Chang
Source localization for sparse array using nonnegative sparse Bayesian learning. Signal Process. 127 (2016)
Feiyan Duan, Fang Cui, Yuejia Luo, Chunqi Chang
Source separation of ERP components in brain responses to reward evaluation. DSP (2016)
Jisheng Dai, Weichao Xu, Jin Zhang, Chunqi Chang
-norm minimisation problems. IET Signal Process. 9 (1) (2015)
Jisheng Dai, Nan Hu, Weichao Xu, Chunqi Chang
Sparse Bayesian Learning for DOA Estimation with Mutual Coupling. Sensors 15 (10) (2015)
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, J. L. Gao
Age-related changes of EEG and its source in resting state. DSP (2014)
Jisheng Dai, Chunqi Chang
Power allocation for maximizing the MAC capacity via majorization. EURASIP J. Adv. Signal Process. 2014 (2014)
Jisheng Dai, Chunqi Chang, Fei Mai, Dean Zhao, Weichao Xu
On the SVMpath Singularity. IEEE Trans. Neural Networks Learn. Syst. 24 (11) (2013)
Zheng Xia, Wei Chen, Chunqi Chang, Xiaobo Zhou
A novel network and sparsity constraint regression model for functional module identification in genomic data analysis. Int. J. Data Min. Bioinform. 8 (3) (2013)
Jisheng Dai, Chunqi Chang, Weichao Xu, Zhongfu Ye
Linear Precoder Optimization for MIMO Systems with Joint Power Constraints. IEEE Trans. Commun. 60 (8) (2012)
Neil Jacklin, Zhi Ding, Wei Chen, Chunqi Chang
Noniterative Convex Optimization Methods for Network Component Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (5) (2012)
Gary Hak Fui Tam, Chunqi Chang, Yeung Sam Hung
Application of Granger causality to gene regulatory network discovery. ISB (2012)
Lanxin Lin, Minfen Shen, Hing-Cheung So, Chunqi Chang
Convergence Analysis for Initial Condition Estimation in Coupled Map Lattice Systems. IEEE Trans. Signal Process. 60 (8) (2012)
Sui Man Lai, Zhiguo Zhang, Yeung Sam Hung, Zhendong Niu, Chunqi Chang
A Chromatic Transient Visual Evoked Potential Based Encoding/Decoding Approach for Brain-Computer Interface. IEEE J. Emerg. Sel. Topics Circuits Syst. 1 (4) (2011)
Zheng Xia, Xiaobo Zhou, Wei Chen, Chunqi Chang
A graph-based elastic net for variable selection and module identification for genomic data analysis. BIBM (2010)
Xiansheng Guo, Qun Wan, Chunqi Chang, Edmund Y. Lam
Source localization using a sparse representation framework to achieve superresolution. Multidimens. Syst. Signal Process. 21 (4) (2010)
Chunqi Chang, Yeung Sam Hung, Zhi Ding
A new optimization algorithm for network component analysis based on convex programming. ICASSP (2009)
Chunqi Chang, Zhi Ding, Yeung Sam Hung
Nonnegative Network Component Analysis by Linear Programming for Gene Regulatory Network Reconstruction. ICA (2009)
Jisheng Dai, Chunqi Chang, Zhongfu Ye, Yeung Sam Hung
An efficient greedy scheduler for zero-forcing dirty-paper coding. IEEE Trans. Commun. 57 (7) (2009)
Xiansheng Guo, Qun Wan, Chunqi Chang, Edmund Y. Lam
An Improved Direction-of-arrival Estimation via Phase Information of Sparse Solution. ISCAS (2009)
Jisheng Dai, Chunqi Chang, Zhongfu Ye, Yeung Sam Hung
An Efficient Convex Nonnegative Network Component Analysis for Gene Regulatory Network Reconstruction. PRIB (2009)
Jianchao Yao, Chunqi Chang, Mari L. Salmi, Yeung Sam Hung, Ann E. Loraine, Stanley J. Roux
Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient. BMC Bioinform. 9 (2008)
Weichao Xu, Chunqi Chang, Yeung Sam Hung, Peter Chin Wan Fung
Asymptotic Properties of Order Statistics Correlation Coefficient in the Normal Cases. IEEE Trans. Signal Process. 56 (6) (2008)
Chunqi Chang, Zhi Ding, Yeung Sam Hung, Peter Chin Wan Fung
Fast network component analysis (FastNCA) for gene regulatory network reconstruction from microarray data. Bioinform. 24 (11) (2008)
Weichao Xu, Chunqi Chang, Yeung Sam Hung, S. K. Kwan, Peter Chin Wan Fung
Order Statistics Correlation Coefficient as a Novel Association Measurement With Applications to Biosignal Analysis. IEEE Trans. Signal Process. 55 (12) (2007)
Chunqi Chang, Peter Chin Wan Fung, Yeung Sam Hung
On a Sparse Component Analysis Approach to Blind Source Separation. ICA (2006)
Y. Y. Leung, Chunqi Chang, Y. S. Hung, Peter Chin Wan Fung
Gene selection for Brain Cancer Classification. EMBC (2006)
Weichao Xu, Chunqi Chang, Y. S. Hung, S. K. Kwan, Peter Chin Wan Fung
Order Statistic Correlation Coefficient and Its Application to Association Measurement of Biosignals. ICASSP (2) (2006)
Wei Qiu, Chunqi Chang, Wenqing Liu, Paul W. F. Poon, Yong Hu, Francis K. Lam, Roger P. Hamernik, Gang Wei, Francis H. Y. Chan
Real-time data-reusing adaptive learning of a radial basis function network for tracking evoked potentials. IEEE Trans. Biomed. Eng. 53 (2) (2006)
Zhongfu Ye, Chunqi Chang, Chen Wang, Jian Zhao, Francis H. Y. Chan
Blind separation of convolutive mixtures based on second order and third order statistics. ICASSP (5) (2003)
Chunqi Chang, Zhi Ding, Sze-Fong Yau, Francis H. Y. Chan
A matrix-pencil approach to blind separation of colored nonstationary signals. IEEE Trans. Signal Process. 48 (3) (2000)
Chunqi Chang, Zhi Ding, Sze-Fong Yau, Francis H. Y. Chan
A matrix-pencil approach to blind separation of non-white sources in white noise. ICASSP (1998)