Yipeng Liu

Yipeng Liu

PhD, Full Professor

Experience

  1. 2014 - Present, University of Electronic Science and Technology of China, School of Information and Communication Engineering/School of Electronic Engineering, Full Professor / Associate Professor
  2. 2011 - 2014, KU Leuven (Belgium), Department of Electrical Engineering, Postdoctoral Researcher
  3. 2011 - 2011, Huawei Technologies, Chengdu Research Institute, Algorithm Engineer
  4. 2006 - 2011, University of Electronic Science and Technology of China, Information and Communication Engineering, PhD Student
  5. 2002 - 2006, University of Electronic Science and Technology of China, Biomedical Engineering, Undergraduate

Interests

  1. tensor computation: tensor decomposition, tensor neural network, low rank training, learnable tensor optimization
  2. computational imaging: fast imaging, image recovery, image enhancement, adversarial defense
  3. wireless sensing: spectrum sensing, beamforming, blind source separation, radio localization
  4. healthcare: medical image recognition, cognitive disorder screening, movement disorder screening, brain-computer interfaces

Teaching

  1. undergraduate course: Signals and Analysis and Processing, 2024 spring - present
  2. undergraduate course: Signals and Systems, 2016 spring - 2023 spring
  3. undergraduate course: Multimedia Intelligent Human-Computer Interaction, 2022 spring and autumn - present
  4. graduate course: Optimization Theory and Applications, 2015 autumn - 2020 autumn
  5. doctoral course: Frontiers in Signal and Information Processing, 2023 spring - present
  6. online undergraduate course: Digital Image Processing, https://www.xuetangx.com/course/uestc08071213dipintl/26055209, 2025 autumn - present
  7. university graduate teaching achievement awards, 2017, 2025
  8. university undergraduate teaching achievement award, 2025
  9. Outstanding Master’s Thesis Supervisor, 2020
  10. UESTC international cooperation and international education award, 2022 and 2025

Services

  1. Associate Editor, IEEE Transactions on Image Processing, 2025 - Present
  2. Senior Area Editor, IEEE Signal Processing Letters, 2024 - Present
  3. Member, IEEE Signal Processing Society Multimedia Signal Processing (SPS MMSP) Technical Committee, 2026 - 2028
  4. Member, IEEE Signal Processing Society Computational Imaging (SPS CI) Technical Committee, 2025 - 2027
  5. Member, IEEE Circuits and Systems Society Multimedia Systems and Applications (CASS MSA) Technical Committee, 2024 - 2028
  6. APSIPA Distinguished Lecturer, 2022 - 2023
  7. Lead Guest Editor, Signal Processing: Image Communication, special issue on Tensor Image Processing, 2017 - 2019
  8. Publicity Chair, ICASSP 2025 Satellite Event Suzhou, China, 2025
  9. Lead Chair, ICME 2025 workshop on Big Surveillance Data Analysis and Processing, 2025
  10. Guest Editor, Journal of Systems Engineering and Electronics (English Edition), 2022 - 2024

Honors

  1. Best Paper Award, 20th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (IEEE BMSB 2025)
  2. Best Demo Award, 26th IEEE International Conference on Multimedia and Expo (ICME 2025)
  3. Second Prize, Sichuan Provincial Natural Science Award 2023 (ranked second)
  4. World’s Top 2% Scientists, Stanford University and Elsevier, 2022, 2023, 2024
  5. Best Demo Award, 24th IEEE International Workshop on Multimedia Signal Processing (MMSP 2022)
  6. APSIPA Distinguished Lecturer for 2022-2023

Biography

Yipeng Liu is a full professor with school of information and communication engineering, University of Electronic Science and Technology of China (UESTC), Chengdu, China, in 2006 and 2011, respectively. He has studied and worked at UESTC, Huawei Technologies and University of Leuven.

His research interest is tensor computations for signal processing. He has published over 100 papers, coauthored two books, “Tensor Computation for Data Analysis” by Springer and “Tensor Regression” in Foundations and Trends® in Machine Learning, and edited one book “Tensors for Data Processing” by Elsevier. He has received the IEEE BMSB 2025 Best Paper Award, and IEEE ICME 2025 Best Demo Award. He has been an associate editor for IEEE Transactions on Image Processing and a senior area editor for IEEE Signal Processing Letters. He has delivered 6 tutorials for IEEE flagship conferences, and he is the APSIPA Distinguished Lecturer 2022-2023.

Publications

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.

    1.1 online available at: https://www.springer.com/us/book/9783030743857

    1.2 software package: https://github.com/yipengliu/tecoda

  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

2026

  1. Ruituo Wu, Jiani Liu, Bing Li, Anh-Huy Phan, Ivan V. Oseledets, Ce Zhu, Yipeng Liu, “TERM Model: Tensor Ring Mixture Model for Density Estimation,” IEEE Transactions on Big Data, 2026.
  2. Xiangtao Zhang, Eleftherios Kofidis, Ruituo Wu, Ce Zhu, Le Zhang, Yipeng Liu, “Coupled Tensor Train Decomposition in Federated Learning,” Pattern Recognition, 2025.
  3. Fei He, Yangyang Jiang, Da Shen, Ce Zhu, Ying Li, Yipeng Liu, “Interaction-guided Speech Tensor Representation for Dysphagia Screening,” Biomedical Signal Processing and Control, 2026.
  4. Yating Zhang, Mengyuan Liao, Zehua Wang, Zhonghan Xu, Bowen Li, Binbin Zhang, Buyi Xu, Rongji Yang, Guoyun Zhou, Chong Wang, Jiujuan Li, Yuanming Chen, Shouxu Wang, Wei He, Yipeng Liu, Yan Hong, “Ultrasound-assisted SERS Imaging for chemical Visualizatio and Matching of Etomidate Contaminated Fingerprint,” Analytical Chemistry, 2026.

2025

  1. Fei He, Yipeng Liu, Ce Zhu, ”Tensor Decomposition for Brain Data Characterization: A Structured Review on Prerequisites, Models, and Constraints,” IEEE Signal Processing Magazine, 2025.
  2. Yuan Fang, Yipeng Liu, Zhen Long, Chong-Yung Chi, Ce Zhu, “Content-Adaptive Unfolding Wavelet Transformer for Hyperspectral Image Super-Resolution,” IEEE Transactions on Image Processing, 2025.
  3. Yang Chen, Ruituo Wu, Junhui Hou, Ce Zhu, Yipeng Liu, “HOPE: Enhanced Position Image Priors via High-Order Implicit Representations,” IEEE Transactions on Image Processing, 2025.
  4. Ruituo Wu, Yang Chen, Jian Xiao, Bing Li, Jicong Fan, Frederic Dufaux, Ce Zhu, Yipeng Liu, “DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection,” IEEE Transactions on Multimedia, 2025.
  5. Lanlan Feng, Yipeng Liu, Ziming Liu, Ce Zhu, “Online Non-convex Robust Tensor Principal Component Analysis,” IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 8, pp. 14384 - 14398, 2025.
  6. Qian Zeng, Le Zhang, Yipeng Liu, Ce Zhu, Fan Zhang, “FunOTTA: On-the-Fly Adaptation on Cross-Domain Fundus Image via Stable Test-time Training,” IEEE Transactions on Medical Imaging, 2025.
  7. Haolin He, Ce Zhu, Le Zhang, Yipeng Liu, Xiao Xu, Yuqian Chen, Leo Zekelman, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Lauren J. O’Donnell, Fan Zhang, “DeepNuParc: A novel deep clustering framework for fine-scale parcellation of brain nuclei using diffusion MRI tractography,” NeuroImage, 2025.
  8. Shuangjie Yuan, Houxuan Liu, Yipeng Liu, Lu Yang, “Self-Supervised Monocular Depth Estimation with Depth-Motion Prior for pseudo-LiDAR,” IEEE Transactions on Instrumentation & Measurement, 2025.
  9. Geyou Zhang, Ce Zhu, Kai Liu, Yipeng Liu, “Phase-Guided Light Field 3D Imaging with High Pixel Resolution,” IEEE Transactions on Instrumentation & Measurement, 2025.
  10. Zhen Long, Qiyuan Wang, Yazhou Ren, Yipeng Liu, Ce Zhu, “TLRLF4MVC: Tensor Low-Rank and Low-Frequency for Scalable Multi-View Clustering,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
  11. Fei He, Xinyue Li, Ce Zhu, Fan Zhang, Yipeng Liu, “Fully Connected Tensor Network based Brain Structural Feature Extraction for Early Alzheimer’s Disease Detection,” 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025), Hyderabad, India, April 6-11, 2025.
  12. Weiting Ou, Yipeng Liu, Zhijie Sun, Bing Li, Le Zhang, Ce Zhu, “Codar: Complex-valued Neural Network for Crossing-Floor Intrusion Detection via WiFi,” 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025), Hyderabad, India, April 6-11, 2025.
  13. Hongwei Guo, Yapeng Du, Lei Luo, Yipeng Liu, Ce Zhu, “VVC Rate Control Based on Distortion Propagation Factors,” The 20th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2025), Dublin Ireland, June 11-13, 2025.
  14. Fei He, Houji Du, Fan Zhang, Yipeng Liu, Ce Zhu, “Incrementally Constrained Tucker Decomposition for Feature Extraction of Structural Diffusion Tensor Imaging Data,” IEEE International Conference on Multimedia & Expo 2025, Nantes, France, June 30 - July 04, 2025.
  15. Xinyu Lin, Yingjie Zhou, Zhen Long, Yipeng Liu, Lu Yang, Ce Zhu, “Unified Line Segment Detection and Description,” IEEE International Conference on Multimedia & Expo 2025, Nantes, France, June 30 - July 04, 2025.
  16. Zhen Long, Qingqing Cao, Hu Yao, Yipeng Liu, Le Zhang, Ce Zhu, “TRR-LGF: a Simple yet Efficient Classification Network,” IEEE International Conference on Multimedia & Expo 2025, Nantes, France, June 30 - July 04, 2025.
  17. Zhen Long, Yipeng Liu, Yazhou Ren, Ce Zhu, “SLR-MVTC: Smooth Low-Rank Multi-View Tensor Clustering,” the 39th AAAI Conference on Artificial Intelligence (AAAI-25), Philadelphia, Pennsylvania, USA, Feb 25 - Mar. 4, 2025.
  18. Xiangtao Zhang, Sheng Li, Ao Li, Yipeng Liu, Fan Zhang, Ce Zhu, Le Zhang, “Subspace Constraint and Contribution Estimation for Heterogeneous Federated Learning，” The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025, pp. 20632-20642.
  19. Qun Wan, Haotian Du, Xiangyu Peng, Kehao Zhang, Yipeng Liu, Wei Xia, “Lecture Notes on A Geometric Interpretation of Minimum Mean Square Error: The Ratio of Matrix Determinants,” IEEE International Conference on Teaching, Assessment, and Learning Engineering, Macao, China, Dec. 4 - 7, 2025.
  20. Hongwei Guo, Yipeng Liu, Lei Luo, Chengbiao Fu, Ce Zhu, “Block-level Lagrange multiplier adaptation based on distortion propagation factors,” The 17th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2025), Singapore, Oct. 22 – 24, 2025.
  21. Fei He, Houji Du, Nipon Theera-Umpon, Yipeng Liu, Ce Zhu, “Flexibly Constrained Tucker Decomposition for High-Order Spectral Analysis,” The 27th IEEE International Workshop on Multimedia Signal Processing (MMSP 2025), Beijing, China, Sept. 21 - 23, 2025.
  22. Qun Wan, Weiyu Liu, Kehao Zhang, Xiangyu Peng, Lin Zou, Yipeng Liu, “Revisiting The Cramer-Rao Lower Bound via Wiener Filtering,” The 17th International Conference on Signal Processing Systems (ICSPS), Chengdu, China, October 24-26, 2025.
  23. Kang Tan, Zhijie Sun, Yimao Sun, Ce Zhu, Yipeng Liu, “DATSIL: Domain Adaptation in Tensor Subspace for Wi-Fi-based Indoor Localization,” The 17th International Conference on Signal Processing Systems (ICSPS), Chengdu, China, October 24-26, 2025.

2024

  1. Yipeng Liu, Jie Chen, Yingcong Lu, Weiting Ou, Zhen Long, Ce Zhu, “Adaptively Topological Tensor Network for Multi-view Subspace Clustering,” IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 11, pp. 5562 - 5575, 2024.
  2. Yuan Fang, Yipeng Liu, Chong-Yung Chi, Zhen Long, Ce Zhu, “CS2DIPs: Unsupervised HSI Super-Resolution Using Coupled Spatial and Spectral DIPs,” IEEE Transactions on Image Processing, vol. 33, pp. 3090 - 3101, 2024.
  3. Yixin Gou, Yipeng Liu, Fei He, Borbala Hunyadi, and Ce Zhu, “Tensor Completion for Alzheimer’s Disease Prediction from Diffusion Tensor Imaging,” IEEE Transactions on Biomedical Engineering, vol. 71, no. 7, pp. 2211 -2223, 2024.
  4. Zhen Long, Ce Zhu, Pierre Comon, Yazhou Ren, Yipeng Liu, “Feature Space Recovery for Efficient Incomplete Multi-view Clustering,” IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 9, pp. 4664 - 4677, 2024.
  5. Xingyu Cao, Xiangtao Zhang, Ce Zhu, Jiani Liu, Yipeng Liu, “TS-RTPM-Net: Data-driven Tensor Sketching for Efficient CP Decomposition,” IEEE Transactions on Big Data, vol. 10, no. 1, pp. 1 - 11, 2024.
  6. Yingcong Lu, Yipeng Liu, Zhen Long, Zhangxin Chen, Ce Zhu, “O-Minus Decomposition for Multi-view Tensor Subspace Clustering,” IEEE Transactions on Artificial Intelligence, vol. 5, no. 3, pp. 1207 - 1220, 2024.
  7. Zhen Long, Ce Zhu, Jie Chen, Zihan Li, Yazhou Ren, Yipeng Liu, “Multi-view MERA Subspace Clustering,” IEEE Transactions on Multimedia, vol. 26, pp. 3102 - 3112, 2024.
  8. Xinyu Lin, Yingjie Zhou, Yipeng Liu, Ce Zhu, “A comprehensive review of image line segment detection and description: Taxonomies, comparisons, and challenges,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 12, pp. 8074 - 8093, 2024.
  9. Xinwei Ou, Zhangxin Chen, Ce Zhu, Yipeng Liu, “Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training,” Journal of Systems Engineering and Electronics, vol. 35, no. 3, pp. 509 - 531, 2024.
  10. Nan Yang, Zihan Li, Zhen Long, Xiaolin Huang, Ce Zhu, Yipeng Liu, “Efficient Black-box Adversarial Attack on Deep Clustering Models,” 2024 IEEE International Conference on Image Processing (ICIP 2024), Abu Dhabi, UAE, Oct. 27-30, 2024.
  11. Jiani Liu, Ce Zhu, Yang Chen, XiaoLin Huang, Yipeng Liu, “Phase Retrieval by Tensor Total Least Squares,” 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), Seoul, Korea, 14~19 April 2024.
  12. Fei He, Yipeng Liu, Da Shen, Yangyang Jiang, Ying Li, Ce Zhu, “Multi-band speech tensor decomposition for interactive feature extraction in early dysphagia screening,” 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), Seoul, Korea, 14~19 April 2024.
  13. Da Shen, Zhongrong Wang, Fei He, Zhijie Sun, Ce Zhu, Yipeng Liu, “Epilepsy Detection with Personal Identification Based on Regularized O-minus Decomposition,” 2024 IEEE International Symposium on Circuits and Systems (ISCAS 2024), Singapore, May 19-22 2024.
  14. Zhen Long, Qiyuan Wang, Yazhou Ren, Yipeng Liu, Ce Zhu, “S^ 2MVTC: a Simple yet Efficient Scalable Multi-View Tensor Clustering,” The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024, Seattle, USA, June 17-21, 2024.
  15. Hongwei Guo, Ce Zhu, Yipeng Liu, Mao Ye, and Lei Luo, “CTU-Level Lagrange Multiplier and QP Adaptation for Random Access Hierarchical Coding in VVC,” The 19th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2024), Toronto, June 19 - 21, 2024.
  16. Chao Zhang, Lanlan Feng, Ke Wu, Ce Zhu, Hongwei Guo, Yipeng Liu, “Finding Channel-wise Tensor Subspaces in GANs,” IEEE International Conference on Signal, Information and Data Processing 2024 (IEEE ICSIDP 2024), Zhuhai, China, Nov. 22-24, 2024.
  17. Haolin He, Ce Zhu, Le Zhang, Yipeng Liu, Xiao Xu, Yuqian Chen, Leo Zekelman, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Lauren J O’Donnell, Fan Zhang, “A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using dMRI Tractography,” The 21st International Symposium on Biomedical Imaging (ISBI 2024), Athens, Greece, May 27 - 30, 2024.
  18. Jingyu Zhai, Chenchen Wang, Yang Jiao, Yipeng Liu, Qun Wan, “TDOA estimation method based on frequency domain decimation,” The 16th International Conference on Signal Processing Systems (ICSPS 2024), Kuming, China, Nov. 15 -17, 2024.
  19. Yang Jiao, Chenchen Wang, Jingyu Zhai, Yipeng Liu, Qun Wan, “Compressed sampling time difference of arrival estimation method based on amplitude and phase clustering,” The 16th International Conference on Signal Processing Systems (ICSPS 2024), Kuming, China, Nov. 15 -17, 2024.
  20. Yiting Fan, Yi Liu, Luyao Sun, Yipeng Liu, Qun Wan, “Comparison of CRB on TOA estimation of LOS path between incoherent and coherent processing of two subbands CSI measurements,” The 16th International Conference on Signal Processing Systems (ICSPS 2024), Kuming, China, Nov. 15 -17, 2024.

2023

  1. Xin Liu, Zhangxin Chen, Ce Zhu, Yipeng Liu, “GAPMSF-Net: Generalized Alternating Projection with Multi-stage Fusion Network for Snapshot Compressive Imaging,” IEEE Transactions on Computational Imaging, vol. 9, pp. 760 - 768, 2024.
  2. Lanlan Feng, Ce Zhu, Zhen Long, Jiani Liu, Yipeng Liu, “Multiplex Transformed Tensor Decomposition for Multidimensional Image Recovery,” IEEE Transactions on Image Processing, vol. 32, pp. 3397 - 3412, 2023.
  3. Zhonghao Zhang, Yipeng Liu, Xingyu Cao, Fei Wen, Ce Zhu, “Scalable Deep Compressive Sensing,” Transactions on Machine Learning Research, 2023.
  4. Xinyu Lin, Yingjie Zhou, Yipeng Liu, Ce Zhu, “Effective and Efficient Line Segment Detection for Visual Measurement Guided by Level Lines,” IEEE Transactions on Instrumentation & Measurement, vol. 72, 2023.
  5. Xinyu Lin, Yingjie Zhou, Yipeng Liu, Ce Zhu, “Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch Invariance,” IEEE Transactions on Instrumentation & Measurement, vol. 72, 2023.
  6. 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, vol. 70, no. 7, pp. 2680 - 2684, 2023.
  7. Xinyu Lin, Yingjie Zhou, Yipeng Liu, Ce Zhu, “Level Line Guided Interest Point Detection,” IEEE Signal Processing Letters, vol. 30, pp. 863 - 867, 2023.
  8. Xinyu Lin, Yingjie Zhou, Yipeng Liu, Ce Zhu, “A dedicated benchmark for contour-based corner detection evaluation,” Image and Vision Computing, vol. 136, no. 104716, 2023.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. Hongwei Guo, Ce Zhu, Yipeng Liu, Xu Yang, Lei Luo, “Lagrange multiplier adaptation at CTU-level for VVC low-delay hierarchical coding,” The 18th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2023), June 14 -16, 2023, Beijing, China.
  15. Jingjing Hou, Hongwei Guo, Yipeng Liu, Lanlan Feng, Xu Yang, Lei Luo, Ce Zhu, “Latitude-Guided Temporally Dependent Rate-Distortion Optimization For Panoramic Video Coding,” The 18th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2023), June 14 -16, 2023, Beijing, China.
  16. Zihan Li, Ce Zhu, Zhen Long, Yipeng Liu, “Optimal Low-Rank Tensor Tree Completion,” The 25th IEEE International Workshop on Multimedia Signal Processing, Poitiers, France, September 27–29, 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.
  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.
  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. Yuqian Li, Diana M. Sima, Sofie Van Cauter, Uwe Himmelreich, Anca R. Croitor Sava, Yiming Pi, Yipeng Liu, and Sabine Van Huffel, ““Corrections to “Unsupervised Nosologic Imaging for Glioma Diagnosis” [Jun 13 1760-1763],” IEEE Transactions on Biomedical Engineering, vol. 62, no. 8, pp. 2091 - 2091, 2015.
  4. 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.
  5. 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).
  6. 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), Kunming, 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.