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2020 – today
- 2024
[j40]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: 124780 (2024)- [j39]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): 669-678 (2024) - [j38]Zheng Cao, Jisheng Dai, Weichao Xu, Chunqi Chang:
Sparse Bayesian Learning Approach for Compound Bearing Fault Diagnosis. IEEE Trans. Ind. Informatics 20(2): 1562-1574 (2024) - 2023
- [j37]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: 80-89 (2023) - [c16]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: 452-460 - 2022
- [j36]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: 34858-34871 (2022) - [j35]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: 103838 (2022) - [j34]Guoying Zhu, Jisheng Dai, Chunqi Chang, Weichao Xu:
Robust uplink channel estimation for massive MIMO systems with general array geometry. Digit. Signal Process. 132: 103793 (2022) - [j33]Sean Shensheng Xu, Man-Wai Mak, Chunqi Chang:
Inter-patient ECG classification with i-vector based unsupervised patient adaptation. Expert Syst. Appl. 210: 118410 (2022) - [j32]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): 1911-1919 (2022) - [j31]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): 208-220 (2022) - [j30]Zheng Cao, Jisheng Dai, Weichao Xu, Chunqi Chang:
Bearing Fault Diagnosis With Frequency Sparsity Learning. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - 2021
- [j29]Mengya Guo, Yueping Sun, Jisheng Dai, Chunqi Chang:
Robust DOA estimation for burst impulsive noise. Digit. Signal Process. 114: 103059 (2021) - [j28]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: 676491 (2021) - [j27]Lei Zhou, Jisheng Dai, Weichao Xu, Chunqi Chang:
Uplink Channel Estimation for Massive MIMO Systems With Impulsive Noise. IEEE Commun. Lett. 25(5): 1534-1538 (2021) - [j26]Zheng Cao, Jisheng Dai, Weichao Xu, Chunqi Chang:
Fast Variational Bayesian Inference for Temporally Correlated Sparse Signal Recovery. IEEE Signal Process. Lett. 28: 214-218 (2021) - [i2]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 abs/2109.09148 (2021) - 2020
- [j25]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: 51230-51245 (2020) - [j24]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: 321-332 (2020) - [j23]Jisheng Dai, Lei Zhou, Chunqi Chang, Weichao Xu:
Robust Bayesian learning approach for massive MIMO channel estimation. Signal Process. 168 (2020) - [c15]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: 1750-1753 - [c14]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: 192-201
2010 – 2019
- 2017
- [j22]Jisheng Dai, Weichao Xu, Zhongfu Ye, Chunqi Chang:
Effective subset approach for SVMpath singularities. Pattern Recognit. Lett. 100: 51-58 (2017) - [j21]Jisheng Dai, Xu Bao, Weichao Xu, Chunqi Chang:
Root Sparse Bayesian Learning for Off-Grid DOA Estimation. IEEE Signal Process. Lett. 24(1): 46-50 (2017) - [j20]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): 535-539 (2017) - [j19]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): 1233-1247 (2017) - 2016
- [j18]Nan Hu, Bing Sun, Jiajun Wang, Jisheng Dai, Chunqi Chang:
Source localization for sparse array using nonnegative sparse Bayesian learning. Signal Process. 127: 37-43 (2016) - [c13]Feiyan Duan, Fang Cui, Yuejia Luo, Chunqi Chang:
Source separation of ERP components in brain responses to reward evaluation. DSP 2016: 314-317 - [i1]Jisheng Dai, Xu Bao, Weichao Xu, Chunqi Chang:
Root Sparse Bayesian Learning for Off-Grid DOA Estimation. CoRR abs/1608.07188 (2016) - 2015
- [j17]Jisheng Dai, Weichao Xu, Jin Zhang, Chunqi Chang:
Homotopy algorithm for l1-norm minimisation problems. IET Signal Process. 9(1): 1-9 (2015) - [j16]Jisheng Dai, Nan Hu, Weichao Xu, Chunqi Chang:
Sparse Bayesian Learning for DOA Estimation with Mutual Coupling. Sensors 15(10): 26267-26280 (2015) - 2014
- [j15]Jisheng Dai, Chunqi Chang:
Power allocation for maximizing the MAC capacity via majorization. EURASIP J. Adv. Signal Process. 2014: 113 (2014) - [c12]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:
Age-related changes of EEG and its source in resting state. DSP 2014: 797-800 - 2013
- [j14]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): 311-325 (2013) - [j13]Jisheng Dai, Chunqi Chang, Fei Mai, Dean Zhao, Weichao Xu:
On the SVMpath Singularity. IEEE Trans. Neural Networks Learn. Syst. 24(11): 1736-1748 (2013) - 2012
- [j12]Neil Jacklin, Zhi Ding, Wei Chen, Chunqi Chang:
Noniterative Convex Optimization Methods for Network Component Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1472-1481 (2012) - [j11]Jisheng Dai, Chunqi Chang, Weichao Xu, Zhongfu Ye:
Linear Precoder Optimization for MIMO Systems with Joint Power Constraints. IEEE Trans. Commun. 60(8): 2240-2254 (2012) - [j10]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): 4426-4432 (2012) - [c11]Gary Hak Fui Tam, Chunqi Chang, Yeung Sam Hung:
Application of Granger causality to gene regulatory network discovery. ISB 2012: 232-239 - 2011
- [j9]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): 578-589 (2011) - 2010
- [j8]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): 391-402 (2010) - [c10]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: 357-362
2000 – 2009
- 2009
- [j7]Jisheng Dai, Chunqi Chang, Zhongfu Ye, Yeung Sam Hung:
An efficient greedy scheduler for zero-forcing dirty-paper coding. IEEE Trans. Commun. 57(7): 1939-1943 (2009) - [c9]Chunqi Chang, Yeung Sam Hung, Zhi Ding:
A new optimization algorithm for network component analysis based on convex programming. ICASSP 2009: 509-512 - [c8]Chunqi Chang, Zhi Ding, Yeung Sam Hung:
Nonnegative Network Component Analysis by Linear Programming for Gene Regulatory Network Reconstruction. ICA 2009: 395-402 - [c7]Xiansheng Guo, Qun Wan, Chunqi Chang, Edmund Y. Lam:
An Improved Direction-of-arrival Estimation via Phase Information of Sparse Solution. ISCAS 2009: 1867-1870 - [c6]Jisheng Dai, Chunqi Chang, Zhongfu Ye, Yeung Sam Hung:
An Efficient Convex Nonnegative Network Component Analysis for Gene Regulatory Network Reconstruction. PRIB 2009: 56-66 - 2008
- [j6]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): 1349-1358 (2008) - [j5]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) - [j4]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): 2239-2248 (2008) - 2007
- [j3]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): 5552-5563 (2007) - 2006
- [j2]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): 226-237 (2006) - [c5]Yuk Yee Leung, Chunqi Chang, Y. S. Hung, Peter Chin Wan Fung:
Gene selection for Brain Cancer Classification. EMBC 2006: 5846-5849 - [c4]Chunqi Chang, Peter Chin Wan Fung, Yeung Sam Hung:
On a Sparse Component Analysis Approach to Blind Source Separation. ICA 2006: 765-772 - [c3]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: 1068-1071 - 2003
- [c2]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: 305-308 - 2000
- [j1]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): 900-907 (2000)
1990 – 1999
- 1998
- [c1]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: 2485-2488
Coauthor Index
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