Personal Profile

Yipeng Liu received the BSc degree in biomedical engineering and the PhD degree in information and communication engineering from University of Electronic Science and Technology of China (UESTC), Chengdu, in 2006 and 2011, respectively. In 2011, he was a research engineer at Huawei Technologies, China. From 2011 to 2014, he was a postdoctoral research fellow at University of Leuven, Leuven, Belgium. Since 2014, he has been an associate professor with UESTC, Chengdu, China. He has visitted CETC-10, Chengdu, China from 2007 to 2008, Tsinghua University, Beijing, China from 2010 to 2011, National Tsing-Hua University, Taiwan, ROC from 2016 to 2017.

His research research interests include compressive sensing, tensor signal processing and deep network. He has authored or co-authored over 70 publication on these areas. He has served as an associate editor for IEEE Signal Processing Letters (2019 - now), an editorial board member for Heliyon (2018 - 2019), and the managing guest editor for the special issue “tensor image processing” in Signal Processing: Image Communication. He has served on technical or program committees for 5 international conferences. He is an IEEE senior member, a member of the Multimedia Technology Technical Committee of Chinese Computer Federation, and a member of China Society of Image and Graphics on Youth Working Committee. 

He has given give tutorials for a few international conferences, including 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019 IEEE International Workshop on Signal Processing Systems (SiPS), and 11th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), and is going to give tutorials on the 27th IEEE International Conference on Image Processing (ICIP 2020) and The 2020 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020). He has been teaching optimization theory and applications for graduates since 2015, and received the 8th University Teaching Achievement Award in 2016.

my profile at google scholar lists publications by citation count order.

publications are listed below by year of submission or publication.

Books

Authored books

1. Yipeng Liu, Jiani Liu, Zhen Long, Ce Zhu, Tensor Computation for Data Analysis, New York, USA: Springer, 2022. ebook ISBN: 978-3-030-74386-4, Hardcover ISBN: 978-3-030-74385-7, DOI: 10.1007/978-3-030-74386-4, online available at: https://www.springer.com/us/book/9783030743857

2. Jiani Liu, Ce Zhu, Zhen Long, Yipeng Liu, Tensor Regression, Hanover, USA: Now Publishers Inc. 2021. online available at: https://www.nowpublishers.com/article/Details/MAL-087

Edited Books

1. Yipeng Liu, Tensors for Data Processing, London, UK: Academic Press (Elsevier), 2022. ISBN: 9780128244470. online available at: https://www.elsevier.com/books/tensors-for-data-processing/liu/978-0-12-824447-0

Book chapters

1. Yingyue Bi, Yingcong Lu, Zhen Long, Ce Zhu, and Yipeng Liu, “Tensor Decompositions: Computations, Applications, and Challenges,” Tensors for Data Processing, Academic Press (Elsevier), 2022.

2. Fei Wen, Zhonghao Zhang, and Yipeng Liu, “Generalized Thresholding for Low-rank Tensor Recovery: Approaches based on Model and Learning,” Tensors for Data Processing, Academic Press (Elsevier), 2022.

Papers

2023

1. Xinyu Lin, Yingjie Zhou, Yipeng Liu, Ce Zhu, “Illumination-insensitive Line Binary Descriptor Based on Hierarchical Band Difference,” IEEE Transactions on Circuits and Systems II: Express Briefs, 2023.

2. Tao Li, Lei Tan, Zhehao Huang, Qinghua Tao, Yipeng Liu, Xiaolin Huang, “Low Dimensional Trajectory Hypothesis is True: DNNs can be Trained in Tiny Subspaces,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 3, pp. 3411 - 3420, 2023.

3. Zhen Long, Ce Zhu, Pierre Comon, Yipeng Liu, “Feature Space Recovery for Incomplete Multi-view Clustering,” The 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 4-10, 2023.

4. Jiani Liu, Qinghua Tao, Ce Zhu, Yipeng Liu, Johan A.K. Suykens, “Tensorized LSSVMs for Multitask Regression,” The 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 4-10, 2023.

5. Xinyu Lin, Yingjie Zhou, Yipeng Liu, Ce Zhu, “Level-line Guided Edge Drawing for Robust Line Segment Detection,” The 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 4-10, 2023.

6. Xinyu Lin, Yingjie Zhou, Xun Zhang, Yipeng Liu, Ce Zhu, “Efficient and Effective Multi-Camera Pose Estimation with Weighted M-Estimate Sample Consensus,” The 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 4-10, 2023.

2022

1. Fei He, Xiaoyi Hu, Ce Zhu, Ying Li, Yipeng Liu, “Multi-Scale Spatial and Temporal Speech Associations to Swallowing for Dysphagia Screening,” IEEE-ACM Transactions on Audio, Speech and Language Processing, vol. 30, pp. 2888- 2899, 2022.

2. Zhen Long, Ce Zhu, Jiani Liu, Pierre Comon, Yipeng Liu, “Trainable Subspaces for Low Rank Tensor Completion: Model and Analysis,” IEEE Transactions on Signal Processing, vol. 70, no. 5, pp. 2502 - 2517, 2022.

3. Hengling Zhao, Yangyang Jiang, Shenghan Wang, Fei He, Fangzhou Ren, Zhonghao Zhang, Xue Yang, Ce Zhu, Jirong Yue, Ying Li, Yipeng Liu, “Dysphagia Diagnosis System with Integrated Speech Analysis from Throat Vibration,” Expert Systems With Applications, vo. 204, no. 117496, 2022.

4. Hengling Zhao, Chih-Chien Tsai, Mingyi Zhou, Yipeng Liu, Yao-Liang Chen, Fan-Huang, Yu-Chun Lin, Jiun-Jie Wang, “Deep Learning Based Diagnosis of Parkinson’s Disease Using Diffusion Magnetic Resonance Imaging,” Brain Imaging and Behavior, vol. 16, pp. 1749–1760, 2022.

5. Zhen Long, Yipeng Liu, Yixin Gou, Sixing Zeng, Jiani Liu, Fei Wen, Ce zhu, “Linear tensor subspace of hyperspectral image with its application to denoising,” Journal of Image and Graphics, 2022. (In Chinese).

6. Jiani Liu, Ce Zhu, Yipeng Liu, “Smooth Compact Tensor Ring Regression,” IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 9, pp. 4439 - 4452, 2022.

2021

1. Jiani Liu, Ce Zhu, Zhen Long and Yipeng Liu, “Tensor Regression”, Foundations and Trends® in Machine Learning, vol. 14, no. 4, pp 379-565, 2021. (rank the 1st among all journals, books series, conference proceedings and trade publications of computer science, according to Elsevier citescore)

2. Zhen Long, Ce Zhu, Jiani Liu, Yipeng Liu, “Bayesian Low Rank Tensor Ring for Image Recovery,” IEEE Transactions on Image Processing, vol. 30, pp. 3568-3580, 2021. DOI: 10.1109/TIP.2021.3062195.

3. Zhonghao Zhang, Yipeng Liu, Jiani Liu, Fei Wen, Ce Zhu, “AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing,” IEEE Transactions on Image Processing, vol. 30, pp. 1487-1500, 2021.

4. Jiani Liu, Ce Zhu, Zhen Long, Huyan Huang, Yipeng Liu, “Low-Rank Tensor Ring Learning for Multi-linear Regression,” Pattern Recognition, vol. 113, no. 107753, 2021.

5. Ying Hu, Yudong Shi, Xingyu Cao, Yipeng Liu, Shaoyun Guo, Jiabin Shen, “Enhanced output and wearable performances of triboelectric nanogenerator based on ePTFE microporous membranes for motion monitoring,” Nano Energy, no. 106103, 2021.

6. Fei Wen, Rendong Ying, Yipeng Liu, Peilin Liu, Trieu-Kien Truong, “A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image Deblurring,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 8, pp. 2923 - 2937, 2021.

7. Zhonghao Zhang, Yangyang Jiang, Xingyu Cao, Xue Yang, Ce Zhu, Ying Li, Yipeng Liu, “Deep Learning Based Gait Analysis for Contactless Dementia Detection System from Video Camera,” The IEEE International Symposium on Circuits and Systems (ISCAS 2021), Daegu, Korea, May 22-28, 2021.

8. Shenghan Wang, Yangyang Jiang, Hengling Zhao, Xue Yang, Zhonghao Zhang, Ce Zhu, Ying Li, Yipeng Liu, “Smart Dysphagia Detection System with Adaptive Boosting Analysis of Throat Signals,” The IEEE International Symposium on Circuits and Systems (ISCAS 2021), Daegu, Korea, May 22-28, 2021.

9. Lanlan Feng, Ce Zhu, Yipeng Liu, “Multi-mode Tensor Singular Value Decomposition for Low-Rank Image Recovery, “ The 11th International Conference on Image and Graphics (ICIG 2021), Haikou, China, Nov. 26-28 2021.

10. Hengling Zhao, Chih-Chien Tsai, Ce Zhu, Mingyi Zhou, Jiun-Jie Wang, Yipeng Liu, “Deep Learning-Based Regional Sub-models Integration for Parkinson’s Disease Diagnosis using Diffusion Tensor Imaging,” The 11th International Conference on Image and Graphics (ICIG 2021), Haikou, China, Nov. 26-28 2021.

2020

1. Huyan Huang, Yipeng Liu, Zhen Long, Ce Zhu, “Robust Low-Rank Tensor Ring Completion,” IEEE Transactions on Computational Imaging, vol. 6, pp. 1117-1126, 2020.

2. Yipeng Liu, Jiani Liu, Ce Zhu, “Low Rank Tensor Train Coefficient Array Estimation for Tensor-on-Tensor Regression,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 12, pp. 5402 - 5411. 2020. DOI: 10.1109/TNNLS.2020.2967022

3. Yipeng Liu, Tengteng Liu, Jiani Liu, Ce Zhu, “Smooth Robust Tensor Principal Component Analysis for Compressed Sensing of Dynamic MRI,” Pattern Recognition, vol. 102, no. 107252, 2020. DOI: 10.1016/j.patcog.2020.107252

4. Huyan Huang, Yipeng Liu, Jiani Liu, Ce Zhu, “Provable Tensor Ring Completion,” Signal Processing, vol. 171, no. 107486, 2020. DOI: 10.1016/j.sigpro.2020.107486

5. Lanlan Feng, Yipeng Liu, Longxi Chen, Xiang Zhang, Ce Zhu, “Robust Block Tensor Principal Component Analysis,” Signal Processing, vol. 166, no. 107271, pp. 1 - 13, 2020. DOI: 10.1016/j.sigpro.2019.107271

6. Yipeng Liu, Zhen Long, Huyan Huang, Ce Zhu, “Low CP Rank and Tucker Rank Tensor Completion for Estimating Missing Components in Image Data,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 4, pp. 944-954, 2020.

7. Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu, “DaST: Data-free Substitute Training for Adversarial Attacks,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, USA, June 14 - June 19, 2020.

8. Lanlan Feng, Shenghan Wang, Ce Zhu, Yipeng Liu, “Recent Advances on Robust Tensor Principal Component Analysis”, IJCAI-PRICAI 2020 workshop on Tensor Network Representations in Machine Learning, Yokohama, Japan, January 7 - 15, 2021.

2019

1. Liaqat Ali, Ce Zhu, Zhonghao Zhang, Yipeng Liu, “Automated Detection of Parkinson’s Disease Based on Multiple Types of Sustained Phonations using Linear Discriminant Analysis and Genetically Optimized Neural Network,” IEEE Journal of Translational Engineering in Health and Medicine, vol. 7, 2019. (The most cited paper in IEEE Journal of Translational Engineering in Health and Medicine in 2019)

2. Liaqat Ali, Ce Zhu, Noorbakhsh Amiri Golilarz, Ashir Javeed, Mingyi Zhou, Yipeng Liu, “Reliable Parkinson’s Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System based on Feature Selection and Adaptive Boosting Model,” IEEE Access, vol. 7, no. 1, pp. 116480 - 116489, 2019.

3. Liaqat Ali, Ce Zhu, Mingyi Zhou, Yipeng Liu, “Early diagnosis of Parkinson’s disease from multiple speech recordings by simultaneous sample and feature selection,” Expert Systems with Applications, vol. 137, pp. 22 - 28, 2019.

4. Mingyi Zhou, Yipeng Liu, Long Zhen, Longxi Chen, Ce Zhu, “Tensor Rank Learning in CP Decomposition via Convolutional Neural Network”, Signal Processing: Image Communication, vol 73, pp. 12-21, 2019.

5. Yipeng Liu, Yuning Yang, Qibin Zhao, Shuchin Aeron, “Editorial to The Special Issue on Tensor Image Processing,” Signal Processing: Image Communication, vol 73, pp. 1-2, 2019.

6. Yipeng Liu, Zhen Long, Ce Zhu, “Image Completion Using Low Tensor Tree Rank and Total Variation Minimization,” IEEE Transactions on Multimedia, vol. 21, no. 2, pp. 338-350, 2019.

7. Zhen Long, Yipeng Liu, Longxi Chen, Ce Zhu, “Low Rank Tensor Completion for Multiway Visual Data,” Signal Processing, vol. 155, pp. 301 - 316, 2019.

8. Xinyu Lin, Ce Zhu, Yipeng Liu, Qian Zhang, Robust corner detection using altitude to chord ratio accumulation,” Multimedia Tools and Applications, vol. 78, no. 1, pp 177-195, 2019.

9. Fan Huang, Mingyi Zhou, Shi-ming Wang, Jing Wu, Liaqat Ali, Yi-Hsin Weng, Yao-Liang Chen, Jiun-Jie Wang, and Yipeng Liu, “A deep learning framework with redundancy removal and its diagnostic performance of Parkinson’s disease, “ The 27th ISMRM Annual Meeting & Exhibition, Montréal, QC, Canada, 11-16 May 2019.

10. Lingtong Meng, Shuai Li, Jiaqi Feng, Yipeng Liu, Ce Zhu, “Multiple Context Aggregation Network for Saliency Prediction,” The 2nd China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI 2019), Xi’an, China, 21-22 Sept. 2019.

11. Yuyang Liu, Hongwei Guo, Ce Zhu, Yipeng Liu, “Spherical Position Dependent Rate-Distortion Optimization for 360-Degree Video Coding”, Asia-Pacific Signal and Information Processing Association (APSIPA), Lanzhou, China, November 18-21, 2019.

2018

1. Yipeng Liu, Longxi Chen, Ce Zhu, “Improved Robust Tensor Principal Component Analysis via Low Rank Core Matrix,” IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 6, pp. 1378 - 1389, 2018.

2. Fan He, Xiaolin Huang, Yipeng Liu, Ming Yan, “Fast Signal Recovery from Saturated Measurements by Linear Loss and Nonconvex Penalties,” IEEE Signal Processing Letters, vol. 25, no. 9. pp. 1374 - 1378, 2018.

3. Chao Zhang, Ce Zhu, Xun Xu, Yipeng Liu, Jimin Xiao, Tammam Tillo, “Visual aesthetic understanding: Sample-specific aesthetic classification and deep activation map visualization,” Signal Processing: Image Communication, vol. 67, pp. 12–21, 2018.

4. Shuai Wang, Chunmei Wang, Qian Zhang, Yipeng Liu, Ce Zhu, Chang Duan, “Extended smoothlets: An efficient multi-resolution adaptive transform,”Journal of Visual Communication and Image Representation, vol. 50, pp. 178 - 185, 2018.

5. Shan Wu, Yipeng Liu, Tengteng Liu, Fei Wen, Sayuan Liang, Xiang Zhang, Shuai Wang and Ce Zhu, “Multiple Low-Ranks plus Sparsity based Tensor Reconstruction for Dynamic MRI,” The 23rd International Conference on Digital Signal Processing (DSP 2018), Shanghai, China, Nov. 19- 21, 2018.

6. Chao Zhang, Ce Zhu, Jimin Xiao, Xun Xu, Yipeng Liu, “Image ordinal classification and understanding: grid dropout with masking label,” The 19th IEEE International Conference on Multimedia and Expo (ICME 2018), San Diego, CA, USA, Jul. 23-27, 2018.

7. Longxi Chen, Yipeng Liu, Ce Zhu, “Robust tensor principal component analysis in all modes,” The 19th IEEE International Conference on Multimedia and Expo (ICME 2018), San Diego, CA, USA, Jul. 23-27, 2018.

8. Sung-han Lin, Wen-Chuin Hsu, Chin-Chang Huang, Yi-Chun Chen, Yao-Liang Chen, Jur-Shan Cheng, Chih-Chien Tsai, Yipeng Liu, and Jiun-Jie Wang, “Differential Diagnosis in Alzheimer’s Disease and Mild Cognitive Impairment using Discriminant Function Analysis,” ISMRM Workshop on Machine Learning, Pacific Grove, CA, USA, March 14-17, 2018.

9. Fan Huang , Sung-han Lin , Chin-Song Lu , Yi-Hsin Weng , Yao-Liang Chen , Shu-Hang Ng , Yi-Ming Wu , Chih-Chien Tsai , Yipeng Liu , and Jiun-Jie Wang, “Differential diagnosis in Parkinsonism using diffusion tensor as measured from multiple cortical regions,” Joint Annual Meeting ISMRM-ESMRMB, Paris, France, 16-21 June 2018.

2017

1. Yipeng Liu, Shan Wu, Xiaolin Huang, Bing Chen, Ce Zhu, “Hybrid CS-DMRI: Periodic Time-Variant Subsampling and Omnidirectional Total Variation Based Reconstruction,” IEEE Transactions on Medical Imaging, vol. 36, no. 10, pp. 2148 - 2159, 2017.

2. Sayuan Liang, Tom Dresselaers, Karim Louchami, Ce Zhu, Yipeng Liu, Uwe Himmelreich, “Comparison of different compressed sensing algorithms for low SNR 19F MRI application - imaging of transplanted pancreatic islets and cells labeled with perfluorocarbons,” NMR in Biomedicine, vol. 30, no. 11, pp. e3776, 2017.

3. Xinyu Lin, Ce Zhu, Qian Zhang, Xiaolin Huang, Yipeng Liu, “Efficient and Robust Corner Detectors Based on Second Order Difference of Contour,” IEEE Signal Processing Letters, vol. 24, no. 9, pp. 1393 – 1397, 2017.

4. Xiang Zhang, Ce Zhu, Shuai Wang, Yipeng Liu, Mao Ye, “A Bayesian Approach for Camouflaged Moving Object Detection,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no.9, pp. 2001-2013, 2017.

5. Xinyu Lin, Ce Zhu, Qian Zhang, Yipeng Liu, “Geometric Mesh Corner Detection Using Triangle Principle,” Electronics Letters, vol. 53, no.20, pp. 1354 – 1356, 2017.

6. Fei Wen, Peilin Liu, Yipeng Liu, Robert Caiming Qiu, and Wenxian Yu, “Robust sparse recovery in impulsive noise via Lp-L1 optimization,” IEEE Transactions on Signal Processing, vol. 65, no. 1, pp. 105-118, 2017.

7. Qi Guo, Ce Zhu, Zhiqiang Xia, Zhengtao Wang, Yipeng Liu, “Attribute-controlled face photo synthesis from simple line drawing, ” The 24th IEEE International Conference on Image Processing (ICIP 2017), Beijing, China, September 17-20, 2017.

8. Zhengtao Wang, Ce Zhu, Zhiqiang Xia, Qi Guo, Yipeng Liu, “Towards thinner convolutional neural networks through gradually global pruning, ” The 24th IEEE International Conference on Image Processing (ICIP 2017), Beijing, China, September 17-20, 2017.

9. Fangliang Song, Ce Zhu, Yuyang Liu, Yimin Zhou, and Yipeng Liu, “A new GOP level bit allocation method for HEVC rate control,” The 12th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting 2017 (BMSB 2017), Cagliari, Italy, June 7-9, 2017.

10. Longxi Chen, Yipeng Liu, Ce Zhu, “Iterative block tensor singular value thresholding for extraction of low rank component of image data,” The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), New Orleans, USA, 05 March - 09 March 2017.

11. Xinyu Lin, Ce Zhu, Qian Zhang, Mengxue Wang, Yipeng Liu, “Learning Based 3D Keypoint Detection with Local and Global Attributes in Multi-Scale Space”, The 19th International Workshop on Multimedia Signal Processing (MMSP 2017), London, UK, Oct. 16-18, 2017.

12. Chao Zhang, Ce Zhu, Yipeng Liu, Hongdiao Wen, Zhengtao Wang, “Image ordinal estimation: classification and regression benefit each other,” APSIPA ASC 2017, Kuala Lumpur, Malaysia, 12-15 Dec. 2017.

2016

1. Xinyu Lin, Ce Zhu, Qian Zhang, Yipeng Liu, “3D Interest Point Detection Based on Geometric Measures and Sparse Refinement,” The 18th International Workshop on Multimedia Signal Processing (MMSP 2016), Montreal, Canada, 21-23 September 2016.

2. Fei Wen, Peilin Liu, Yipeng Liu, Robert C. Qiu, Wenxian Yu, “Robust sparse recovery for compressive sensing in impulsive noise using Lp-norm model fitting,” The 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, Mar. 20-25, 2016.

2015

1. Yipeng Liu, Maarten De Vos, Sabine Van Huffel, “Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization,” IEEE Transactions on Biomedical Engineering, vol. 62, no. 8, pp. 2055-2061, Aug. 2015.

2. Xiaolin Huang, Yipeng Liu, Lei Shi, Sabine Van Huffel, Johan Suykens, “Two-Level L1 Optimization for Compressed Sensing” Signal Processing, vol. 108, pp. 459-475, pp. 459-475, Mar. 2015.

3. Sayuan Liang, Yipeng Liu, Tom Dresselaers,, Sabine Van Huffel, Uwe Himmelreich, “Compressed Sensing as a valuable tool for visualization of low SNR signal in 19F MRI,” The 32nd Annual Scientific Meeting of European Society for Magnetic Resonance in Medicine and Biology, Edinburgh, UK, Oct. 1-3, 2015.

4. Sayuan Liang, Yipeng Liu, Tom Dresselaers, Karim Louchami, Sabine Van Huffel, and Uwe Himmelreich, “Comparison of different compressed sensing algorithms for low SNR 19F application — imaging of transplanted pancreatic islets with PFCE labeled,” The 23rd ISMRM Annual Meeting and Exhibition 2015, Toronto, Canada, May 30 – June 5, 2015. (ISMRM MERIT AWARD of Magna cum laude).

5. Hui Wang, Xiaolin Huang, Yipeng Liu, Sabine Van Huffel and Qun Wan, “Binary Reweighted l1 -norm Minimization for One-Bit Compressed Sensing,” The 8th International Joint Conference on Biomedical Engineering Systems and Technologies, Portugal, Lisbon, Jan. 12 - 15 2015.

2014

1. Rong Fan, Qun Wan, Fei Wen, Hui Chen and Yipeng Liu, “Iterative projection approach for phase retrieval of semi-sparse wave field,” EURASIP Journal on Advances in Signal Processing, no.24, Feb. 2014.

2. Yipeng Liu, “Globally Sparse and Locally Dense Signal Recovery for Compressed Sensing,” Journal of the Franklin Institute, vol. 351, no. 5, May 2014.

3. Yipeng Liu, Qun Wan, “Compressive Slow-Varying Wideband Power Spectrum Sensing for Cognitive Radio,” Annals of Telecommunications, vol. 69, no. 9- 10, pp. 559-567, Oct. 2014.

4. Yurrit Avonds, Yipeng Liu, and Sabine Van Huffel. “Simultaneous Greedy Analysis Pursuit for Compressive Sensing of Multi-Channel ECG Signals.”, The 36th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE EMBC 2014), Chicago, USA, August 26-30, 2014.

2013

1. Yipeng Liu, Maarten De Vos, Ivan Gligorijevic, Vladimir Matic, Yuqian Li, Sabine Van Huffel, “Multi-Structural Signal Recovery for Biomedical Compressive Sensing,’’ IEEE Transactions on Biomedical Engineering, vol. 60, no. 10, pp. 2794 – 2805, Oct. 2013.

2. Fei Wen, Qun Wan, Guibo He, Peng Zhang, and Yipeng Liu, “Wideband Direction of Arrival Estimation with Linear Array: Analysis and Closed-Form Formulae.” Chinese Journal of Electronics, vol. 22, no. 4, Oct. 2013.

3. Yuqian Li, Diana M. Sima, Sofie Van Cauter, Uwe Himmelreich, Anca R. Croitor Sava, Yiming Pi, Yipeng Liu and Sabine Van Huffel, “Unsupervised Nosologic Imaging for Glioma Diagnosis,’’ IEEE Transactions on Biomedical Engineering, vol. 60, no. 6, pp. 1760-1763, Jun. 2013.

4. Qingshan You, Qun Wan, Yipeng Liu, “A short note on Strongly Convex Programming for Exact Matrix Completion and Robust Principal Component Analysis,” Inverse Problems and Imaging , vol. 7, no. 1, pp. 305-306, Feb. 2013.

2012

1. Yipeng Liu, Qun Wan, “Sidelobe Suppression for Robust Capon Beamforming with Mainlobe to Sidelobe Power Ratio Maximization,” IEEE Antennas and Wireless Propagation Letters, vol. 11, pp. 1218-1221, Oct. 2012.

2. Yipeng Liu, Qun Wan, “Enhanced Compressive Wideband Frequency Spectrum Sensing for Dynamic Spectrum Access,” EURASIP Journal on Advances in Signal Processing, vol. 2012, no. 177, Aug. 2012.

3. Yipeng Liu, Qun Wan, “Sidelobe Suppression for Robust Beamformer Via the Mixed Norm Constraint,” Wireless Personal Communications, vol. 65, no. 4, pp. 825-832, April. 2012.

4. Yipeng Liu, Ivan Gligorijevic, Vladimir Matic, Maarten De Vos, Sabine Van Huffel, “Multi-Sparse Signal Recovery for Compressive Sensing,” The 34th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE EMBC 2012), San Diego, USA, Aug. 28th - Sept. 1, 2012.

5. Fei Wen, Qun Wan, Yipeng Liu, “Passive Time Delay Estimation for Complex Noncircular Signals”, International Symposium on Electronics and Telecommunications, Timisoara, Romania, Nov. 15-16. 2012.

2011

1. Yipeng Liu, Qun Wan and Xiaoli Chu, “Power-Efficient Ultra-wideband waveform design considering radio channel,” Radioengineering, vol. 20, no. 1, pp. 179-183, Apr. 2011.

2. Yipeng Liu, Qun Wan, “Anti-Sampling-Distortion Compressive Wideband Spectrum Sensing for Cognitive Radio,” International Journal of Mobile Communications, vol. 9, no. 6, pp. 604-618, 2011.

3. Ruiming Yang, Yipeng Liu, Qun Wan, Wanlin Yang, “Compressive Direction Finding Based on Amplitude Comparison,” Journal of Networks, vol. 6, no. 3, pp. 498- 504, Mar. 2011.

4. Yipeng Liu, Jia Xu, Qun Wan, Yingning Peng, “Minimum variance multi-frequency distortionless restriction for digital wideband beamformer,” The 2011 IEEE CIE International Conference on Radar (Radar), Chengdu, China, 24-27 Oct. 2011, pp: 353-355.

5. Yanan Zhang, Yipeng Liu, Qun Wan, Fast Compressive Wideband Spectrum Sensing Based on Dictionary Linear Combination, 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2011), Wuhan, China, 23-25 Sept. 2011.

2010

1. Yipeng Liu, Qun Wan, “Robust Beamformer Based on Total Variation Minimization and Sparse Constraint,” Electronics Letters, vol. 46, no. 25, pp. 1697- 1699, Dec. 2010.

2. Ruiming Yang, Qun Wan, Yipeng Liu, Wanlin Yang, “Adaptive Inter-Atom Interference Mitigation Approach to Sparse Multi-Path Channel Estimation,” The 71st IEEE Vehicular Technology Conference (VTC 2010-Spring), 16-19 May 2010, Taipei, pp. 1 – 5

3. Ruiming, Yang, Yipeng Liu, Qun Wan, Wanlin Yang, “Direction finding via beam scanning and sparse reconstruction,” The Second International Conference on Networks Security Wireless Communications and Trusted Computing (NSWCTC 2010), Wuhan, China, 24-25 April 2010, Volume 2, pp. 7 – 9

2009

1. Yipeng Liu and Qun Wan, “Improved anti-NBI UWB waveform design based on spectral factorization,” The International Conference on Communications and Mobile Computing 2009 (CMC 2009), Kuming, China, Jan. 2009.

2. Hui Chen, Qun Wan, Yipeng Liu, Anmin Huang, “A sparse signal reconstruction perspective for direction-of-arrive estimation with a distributed polarization sensitive array,” International Conference on Wireless Communications & Signal Processing, 2009 (WCSP 2009), Nanjing, China, 13-15 Nov. 2009, pp. 1-5

2008

1. Yipeng Liu and Qun Wan, “Designing Optimal UWB Pulse Waveform Directly by FIR Filter,” The 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008. (WiCOM ‘08.), Dalian, China, 12-14 Oct. 2008, pp. 1-4

2. Yipeng Liu and Qun Wan, “Optimal anti-interference UWB waveform design based on convex optimization,” The 10th National Radar Conference of China, 30 Oct. – 2 Nov. 2008, Beijing, China, pp. 481-484.