Yipeng Liu （刘翼鹏）

刘翼鹏

电子科技大学，信息与通信工程学院，教授/博导/国家级青年人才

联系方式

yipengliu(eta)uestc(dot)edu(dot)cn

通讯地址

四川省成都市高新西区西源大道2006号电子科技大学

研究方向

  1. 张量优化：张量计算、张量分解、矩阵分解、低秩优化、稀疏优化
  2. 机器学习：主成分分析、张量回归、子空间聚类、轻量化神经网络、对抗攻击、异常检测
  3. 计算成像：快速成像、图像复原、图像超分辨、图像增强、图像融合、图像去模糊
  4. 无线感知：频谱感知、波束形成、盲源分离、非直达波成像
  5. 智能医疗：影像识别、认知障碍筛查、运动障碍筛查、脑机接口

科研经历

  1. 2023年 至今，电子科技大学，信息与通信工程学院，教授
  2. 2014年 - 2023年，电子科技大学，信息与通信工程学院/电子工程学院，副教授
  3. 2016年 - 2017年，台湾清华大学，电讯工程系，访问学者
  4. 2011年 - 2014年，鲁汶大学（比利时），电子工程系，博士后研究员
  5. 2011年 - 2011年，华为技术有限责任公司，成都研究所，算法工程师
  6. 2010年 - 2011年，清华大学（北京），电子工程系，访问学生
  7. 2007年 - 2008年，西南电子技术研究所，实习生
  8. 2006年 - 2011年，电子科技大学，信息与通信工程，博士生
  9. 2002年 - 2006年，电子科技大学，生物医学工程，本科生

学术兼职

  1. IEEE Signal Processing Letters资深领域编委，2024 至今
  2. IEEE信号处理协会计算成像（SPS CI）技术委员会委员，2025 - 2027
  3. IEEE电路与系统协会多媒体系统与应用(CASS MSA)技术委员会委员, 2024 - 2028
  4. 亚太信号与信息处理学会杰出讲座人（APSIPA Distinguished Lecturer）2022 - 2023
  5. Signal Processing: Image Communication special issue on Tensor Image Processing，首席客座编委，2017- 2019
  6. 系统工程与电子技术学报（英文版）客座编委，2022- 2024
  7. 中国图象图形学学会青年工作委员会委员
  8. 中国计算机学会多媒体技术专委会委员
  9. 中国国家自然科学基金项目评审专家
  10. 多次担任世界知名大学博士答辩委员会委员，包括俄罗斯斯科尔科沃科学技术学院（Skoltech）
  11. 多次担任行业知名国际/国内会议的组织工作
  12. 行业权威期刊审稿人，包括：IEEE TSP，IEEE J-STSP，IEEE TIP，IEEE TMM，IEEE T-PAMI，IEEE T-CVST，IEEE TBME，IEEE JBHI，IEEE TII，IEEE TC等

科研项目

主持中国自然基金面上项目、中国自然基金青年基金项目、四川省科技厅国际/地区合作项目；主研欧盟研究理事会高级项目、比利时佛兰德科学基金、中国国家自然科学基金、四川省科技支撑计划。

科研荣誉

  1. 2023年度四川省自然科学奖二等奖（排名第二）
  2. 第15批四川省学术和技术带头人后备人选，2024
  3. 2022年、2023年度全球前2%顶尖科学家（斯坦福大学发布）
  4. 第24届IEEE国际多媒体信号处理研讨会（MMSP 2022）最佳演示论文奖（Best Demo Award）
  5. 亚太信号与信息处理学会杰出讲座人（APSIPA Distinguished Lecturer for 2022-2023）
  6. 首届川渝科技学术大会优秀论文一等奖，2020年
  7. 国际电气电子工程师学会高级会员，2017年
  8. 比利时弗拉芒政府海外会议支持奖，2012年，2014年

学生培养

  1. 教学工作：主讲本科生基础课《信号与系统》、本科实践课《多媒体智能人机交互》、研究生基础课《最优化理论与应用》、博士生前沿探索课《信号与信息处理前沿》。曾获电子科技大学第八届研究生教学成果奖一等奖
  2. 科研指导：优秀硕士学位论文4篇；成电杰出学生3位
  3. 研究生教改项目：项目一：现代数字信号处理理论及算法；项目二：基于项目的“智能信息”创新能力提升计划；项目三：面向共性基础项目的信号处理核心课程群建设
  4. 2020年度优秀硕士学位论文指导教师
  5. 2022年度成电国际合作与国际教育先进个人

个人简介

刘翼鹏是电子科技大学信息与通信工程学院教授、博导、国家级青年人才。他曾在鲁汶大学（比利时）、清华大学（北京）、清华大学（台湾）、华为技术、西南电子技术研究所访问和工作。他主要从事张量信号处理相关的理论方法和应用工作。以张量计算为基础，重点研究张量分解和低秩优化，有效避免传统信号处理中将高维数组矩阵化带来的数据结构损失，同时还能避免大规模数据处理中的“维数灾难”计算难题。

他发表国际期刊和会议论文100余篇，其中30余篇论文发表在JSTSP、TSP、TIP、TMI、TMM、TPAMI、TKDE、TNNLS等IEEE期刊，ESI 高被引论文4篇，包括热点论文1 篇。撰写张量信号处理方向的英文专著2本和编著1本。他的论文Tensor Regression发表在影响因子65.3的人工智能顶刊FnT in Machine Learning，是其创刊16年唯一的第一/通讯作者来自中国单位的工作。他分别于2012年和2014年获得比利时弗拉芒政府海外会议支持奖2项，2020年获首届川渝科技学术大会优秀论文一等奖，2022年获得国际多媒体信号处理研讨会（MMSP 2022）最佳演示论文奖（Best Demo Award），获得2023年年度四川省自然科学奖二等奖，2022年至今连续入选斯坦福大学评选的全球前2%顶尖科学家名单，2024年入选第15批四川省学术和技术带头人后备人选。主研/主持欧盟研究理事会高级项目1项、比利时法兰德斯自然科学基金1项、中国国家自然科学基金4项、四川省国际/地区科研合作项目1项、四川省科技计划项目2项。

他是IEEE高级会员，中国电子学会高级会员，中国图象图形学学会高级会员，IEEE电路与系统协会多媒体系统与应用(CASS MSA)技术委员会委员，中国图象图形学学会青年工作委员会委员，中国计算机学会多媒体技术专委会委员。他担任国际期刊IEEE Signal Processing Letters的编委，Signal Processing: Image Communication （Elsevier）的首席客座编委，系统工程与电子技术（英文版）客座编委；多次担任行业权威期刊和会议的组织、编辑和审稿工作。

他曾应邀在国际人工智能协会旗舰会议IJCAI 2022、IEEE多媒体领域旗舰会议ICME 2022、IEEE信号处理学会旗舰会议ICIP 2020、 IEEE智能计算学会旗舰会议SSCI 2020、IEEE电路与系统学会旗舰会议ISCAS 2019 做讲习班报告（tutorial）。他是亚太信号与信息处理学会杰出讲座人（APSIPA Distinguished Lecturer for 2022-2023）。

媒体报道

  1. 信通学院刘翼鹏等人的英文著作Tensor Computation for Data Analysis由施普林格公司出版：https://news.uestc.edu.cn/?n=UestcNews.Front.DocumentV2.ArticlePage&Id=81351
  2. 信通学院博士生在Foundations and Trends in Machine Learning上发表张量回归综述论文：https://news.uestc.edu.cn/?n=UestcNews.Front.DocumentV2.ArticlePage&Id=81642
  3. 刘翼鹏副教授在2019年度三个国际知名学术会议做张量信号分析专题报告：https://news.uestc.edu.cn/?n=UestcNews.Front.DocumentV2.ArticlePage&Id=74753

著作论文

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

2024

  1. Lanlan Feng, Yipeng Liu, Ziming Liu, Ce Zhu, “Online Non-convex Robust Tensor Principal Component Analysis,” IEEE Transactions on Neural Networks and Learning Systems, 2024
  2. 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, 2024.
  3. 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, 2024.
  4. 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, 2024.
  5. 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, 2024.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. Hongwei Guo, Ce Zhu, Yipeng Liu, Mao Ye, and Lei Luo, “CTU-Level Lagrange Multiplier and QP Adaption 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.
  12. 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.

2023

  1. 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, 2023.
  2. 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, 2023.
  3. Zhen Long, Ce Zhu, Jie Chen, Zihan Li, Yazhou Ren, Yipeng Liu, “Multi-view MERA Subspace Clustering,” IEEE Transactions on Multimedia, 2023.
  4. 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, 2023.
  5. Yingcong Lu, Yipeng Liu, Zhen Long, Zhangxin Chen, Ce Zhu, “O-Minus Decomposition for Multi-view Tensor Subspace Clustering,” IEEE Transactions on Artificial Intelligence, 2023
  6. Lanlan Feng, Ce Zhu, Zhen Long, Jiani Liu, Yipeng Liu, “Multiplex Transformed Tensor Decomposition for Multidimensional Image Recovery,” IEEE Transactions on Image Processing, 2023.
  7. 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, 2023.
  8. Zhonghao Zhang, Yipeng Liu, Xingyu Cao, Fei Wen, Ce Zhu, “Scalable Deep Compressive Sensing,” Transactions on Machine Learning Research, 2023.
  9. 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, 2023.
  10. 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, 2023.
  11. 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.
  12. Xinyu Lin, Yingjie Zhou, Yipeng Liu, Ce Zhu, “Level Line Guided Interest Point Detection,” IEEE Signal Processing Letters, 2023.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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. 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. 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.