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ORCIDYu Liu 0023
Person information
- affiliation: Hefei University of Technology, Department of Biomedical Engineering, China
- affiliation (PhD 2016): University of Science and Technology of China, Department of Automation, Hefei, China
Other persons with the same name
- Yu Liu — disambiguation page
- Yu Liu 0001
![[0000-0002-7957-2487]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7957-2487")
— Beijing University of Posts and Telecommunications, School of Information and Communication, China (and 3 more) - Yu Liu 0002 — Harbin Institute of Technology, Data and Knowledge Engineering Research Center, China
- Yu Liu 0003 — Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China
- Yu Liu 0004 — Tianjin University, School of Electronics and Information, China
- Yu Liu 0005 — Naval Aviation University, Research Institute of Information Fusion, Yantai, China (and 2 more)
- Yu Liu 0006 — University of Electronic Science and Technology of China, School of Mechatronics Engineering, Chengdu, China
- Yu Liu 0007 — City University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong
- Yu Liu 0008 — National University of Defense Technology, Department of System Engineering, Changsha, China (and 1 more)
- Yu Liu 0009 — Harbin Institute of Technology, School of Astronautics, China
- Yu Liu 0010 — Southeast University, School of Electrical Engineering, Nanjing, China
- Yu Liu 0011 — Linköping University, Norrköping, Sweden
- Yu Liu 0012 — KU Leuven, ESAT-PSI, Leuven, Belgium (and 2 more)
- Yu Liu 0013 — Inceptio Technology, Fremont, CA, USA (and 1 more)
- Yu Liu 0014 — South China University of Technology, College of Automation Science and Engineering, Guangzhou, China
- Yu Liu 0015 — Sensetime Group Limited, Beijing, China (and 1 more)
- Yu Liu 0016 — Tsinghua University, Department of Electronic Engineering, State Key Laboratory on Microwave and Digital Communications, TNList, Beijing, China
- Yu Liu 0017 — South China University of Technology, Department of Computer Science and Engineering, Guangzhou, China
- Yu Liu 0018 — Imperial College London, UK
- Yu Liu 0019 — Arizona State University, Tempe, USA
- Yu Liu 0020 — Shandong University, Shandong Provincial Key Lab of Wireless Communication Technologies, Shandong, China
- Yu Liu 0021 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Yu Liu 0022 — Weifang University, School of Computer Engineering, China
- Yu Liu 0024 — Hunan University, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, China
- Yu Liu 0025 — North University of China, Science and Technology on Electronic Test and Measurement Laboratory, Taiyuan, China
- Yu Liu 0026 — Chongqing University of Posts and Telecommunications, Chongqing Engineering Research Center of Intelligent Sensing Technology and Microsystem, Department of Optoelectronics Engineering, China (and 1 more)
- Yu Liu 0027 — Southern University of Science and Technology, Shenzhen Key Laboratory of Complex Aerospace Flows, Shenzhen, China
- Yu Liu 0028 — Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA
- Yu Liu 0029 — University of Adelaide, School of Computer Science, Adelaide, Australia
- Yu Liu 0030 — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China
- Yu Liu 0031 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Software Development Environment, Beijing, China
- Yu Liu 0032 — China University of Mining and Technology, School of Mechanical and Electrical Engineering, Xuzhou, China
- Yu Liu 0033 — Beijing Institute of Technology, School of Information and Electronics, Key Laboratory of Fractional Signals and Systems, Beijing, China
- Yu Liu 0034 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, State Key Laboratory of Remote Sensing Science, Beijing, China (and 1 more)
- Yu Liu 0035 — Dalian University of Technology, School of Software Technology, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China (and 2 more)
- Yu Liu 0036 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, Harbin, China
- Yu Liu 0037 — Virginia Commonwealth University, Department of Electrical and Computer Engineering, Richmond, VA, USA (and 1 more)
- Yu Liu 0038 — Wuhan Polytechnic University, School of Mathematics and Computer Science, Wuhan, China
- Yu Liu 0039 — Guizhou University, College of Mining, Guiyang, China (and 1 more)
- Yu Liu 0040 — Huazhong University of Science and Technology, Wuhan, China
- Yu Liu 0041 — Huawei Technology Co. Ltd, Shenzhen, China (and 1 more)
- Yu Liu 0042 — New Jersey Institute of Technology, Department of Electrical and Computer Engineering, Newark, NJ, USA
- Yu Liu 0043 — South China University of Technology, School of Software Engineering, Guangzhou, China
- Yu Liu 0044 — Saginaw Valley State University, University Center, MI, USA (and 1 more)
- Yu Liu 0045 — Jiangnan University, Wuxi, China (and 1 more)
- Yu Liu 0046 — Hong Kong Baptist University, Department of Computer Science, Hong Kong (and 1 more)
- Yu Liu 0047 — Beijing University of Posts and Telecommunications, China
- Yu Liu 0048 — North China Electric Power University, Baoding, China
- Yu Liu 0049 — Shijiazhuang Posts and Telecommunications Technical College, China
- Yu Liu 0050 — Chongqing Three Gorges University, College of Electronic and Information Engineering, China
- Yu Liu 0051 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, China
- Yu Liu 0052 — Southeast University, Nanjing, School of Computer Science and Engineering, China
- Yu Liu 0053 — University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, QLD, Australia
- Yu Liu 0054 — Tsinghua University, School of Aerospace Engineering, Beijing, China
- Yu Liu 0055 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Yu Liu 0056 — Xiamen University, School of Aerospace Engineering, China
- Yu Liu 0057 — Stony Brook University, Department of Electrical and Computer Engineering, NY, USA
- Yu Liu 0058 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Yu Liu 0059 — University of Michigan, Department of Computational Medicine and Bioinformatics, Ann Arbor, MI, USA
- Yu Liu 0060 — University Burgundy Franche-Comté, Laboratoire ImViA, Dijon, France
- Yu Liu 0061 — AI Research, Citadel LLC, Seattle, WA, USA (and 1 more)
- Yu Liu 0062 — Cummins Technical Center, Columbus, IN, USA (and 1 more)
- Yu Liu 0063 — Alibaba Group, Machine Intelligence Technology Lab
- Yu Liu 0064 — Beijing Normal University, International Academic Center of Complex Systems, Zhuhai, China
- Yu Liu 0065 — University College London, UK
- Yu Liu 0066 — University of Hong Kong
- Yu Liu 0067 — Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- Yu Liu 0068 — Department of Computer Science and Technology, Tsinghua University, Beijing, China
- Yu Liu 0069 — Clarkson University, CS Department, Potsdam, USA
- Yu Liu 0070 — Beijing Jiaotong University, China
- Yu Liu 0071 — Ant Group
- Yu Liu 0072 — University Putra Malaysia, Faculty of Computer Science and Information Technology, Serdang, Malaysia
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2020 – today
- 2024
[j74]Zhiqin Zhu, Mengwei Sun, Guanqiu Qi, Yuanyuan Li, Xinbo Gao, Yu Liu:
Sparse Dynamic Volume TransUNet with multi-level edge fusion for brain tumor segmentation. Comput. Biol. Medicine 172: 108284 (2024)- [j73]Huafeng Li, Junyu Liu, Yafei Zhang, Yu Liu:
A Deep Learning Framework for Infrared and Visible Image Fusion Without Strict Registration. Int. J. Comput. Vis. 132(5): 1625-1644 (2024) - [j72]Xiaowen Zhang, Aiping Liu, Gang Yang, Yu Liu, Xun Chen:
SIMFusion: A semantic information-guided modality-specific fusion network for MR Images. Inf. Fusion 112: 102560 (2024) - [j71]Jinbao Wei, Gang Yang, Zhijie Wang, Yu Liu, Aiping Liu, Xun Chen:
Misalignment-Resistant Deep Unfolding Network for multi-modal MRI super-resolution and reconstruction. Knowl. Based Syst. 296: 111866 (2024) - [j70]Yu Liu, Zhengzheng Qi, Juan Cheng, Xun Chen:
Rethinking the Effectiveness of Objective Evaluation Metrics in Multi-Focus Image Fusion: A Statistic-Based Approach. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5806-5819 (2024) - [j69]Zhiqin Zhu, Ziyu Wang, Guanqiu Qi, Neal Mazur, Pan Yang, Yu Liu:
Brain tumor segmentation in MRI with multi-modality spatial information enhancement and boundary shape correction. Pattern Recognit. 153: 110553 (2024) - [j68]Wei Tang, Fazhi He, Yu Liu:
ITFuse: An interactive transformer for infrared and visible image fusion. Pattern Recognit. 156: 110822 (2024) - [j67]Yuhang Chen, Aiping Liu, Yu Liu, Zhiyang He, Cong Liu, Xun Chen:
Multi-Dimensional Medical Image Fusion With Complex Sparse Representation. IEEE Trans. Biomed. Eng. 71(9): 2728-2739 (2024) - [j66]Dingyi Li, Yu Liu, Zengfu Wang, Jian Yang:
Video Rescaling With Recurrent Diffusion. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9386-9399 (2024) - [j65]Yu Liu, Yize Ma, Zhiqin Zhu, Juan Cheng, Xun Chen:
TransSea: Hybrid CNN-Transformer With Semantic Awareness for 3-D Brain Tumor Segmentation. IEEE Trans. Instrum. Meas. 73: 16-31 (2024) - [j64]Yu Liu, Chen Yu, Juan Cheng, Z. Jane Wang, Xun Chen:
MM-Net: A MixFormer-Based Multi-Scale Network for Anatomical and Functional Image Fusion. IEEE Trans. Image Process. 33: 2197-2212 (2024) - [i2]Run Shao, Cheng Yang, Qiujun Li, Qing Zhu, Yongjun Zhang, Yansheng Li, Yu Liu, Yong Tang, Dapeng Liu, Shizhong Yang, Jiayi Ma, Haifeng Li:
AllSpark: a multimodal spatiotemporal general model. CoRR abs/2401.00546 (2024) - 2023
- [j63]Juan Cheng, Bicheng Yue, Rencheng Song, Yu Liu, Chang Li, Xun Chen:
Motion-robust anterior-posterior imaging ballistocardiography for non-contact heart rate measurements. Biomed. Signal Process. Control. 86(Part C): 105307 (2023) - [j62]Yi Wei, Yu Liu, Chang Li, Juan Cheng, Rencheng Song, Xun Chen:
TC-Net: A Transformer Capsule Network for EEG-based emotion recognition. Comput. Biol. Medicine 152: 106463 (2023) - [j61]Muhua Xu, Juan Cheng, Chang Li, Yu Liu, Xun Chen:
Spatio-temporal deep forest for emotion recognition based on facial electromyography signals. Comput. Biol. Medicine 156: 106689 (2023) - [j60]Zhiqin Zhu, Xianyu He, Guanqiu Qi, Yuanyuan Li, Baisen Cong, Yu Liu:
Brain tumor segmentation based on the fusion of deep semantics and edge information in multimodal MRI. Inf. Fusion 91: 376-387 (2023) - [j59]Wei Tang, Fazhi He, Yu Liu:
TCCFusion: An infrared and visible image fusion method based on transformer and cross correlation. Pattern Recognit. 137: 109295 (2023) - [j58]Yu Liu, Zhigang Yang, Juan Cheng, Xun Chen:
Multi-Exposure Image Fusion via Multi-Scale and Context-Aware Feature Learning. IEEE Signal Process. Lett. 30: 100-104 (2023) - [j57]Wei Tao, Chang Li, Rencheng Song, Juan Cheng, Yu Liu, Feng Wan, Xun Chen:
EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention. IEEE Trans. Affect. Comput. 14(1): 382-393 (2023) - [j56]Chang Li, Zhongzhen Zhang, Rencheng Song, Juan Cheng, Yu Liu, Xun Chen:
EEG-Based Emotion Recognition via Neural Architecture Search. IEEE Trans. Affect. Comput. 14(2): 957-968 (2023) - [j55]Wei Tang, Fazhi He, Yu Liu, Yansong Duan, Tongzhen Si:
DATFuse: Infrared and Visible Image Fusion via Dual Attention Transformer. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3159-3172 (2023) - [j54]Yu Liu, Haihang Li, Juan Cheng, Xun Chen:
MSCAF-Net: A General Framework for Camouflaged Object Detection via Learning Multi-Scale Context-Aware Features. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4934-4947 (2023) - [j53]Chang Li, Zhongzhen Zhang, Xiaodong Zhang, Guoning Huang, Yu Liu, Xun Chen:
EEG-based Emotion Recognition via Transformer Neural Architecture Search. IEEE Trans. Ind. Informatics 19(4): 6016-6025 (2023) - [j52]Juan Cheng, Runqing Liu, Jiajie Li, Rencheng Song, Yu Liu, Xun Chen:
Motion-Robust Respiratory Rate Estimation From Camera Videos via Fusing Pixel Movement and Pixel Intensity Information. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [j51]Yu Liu, Yi Wei, Chang Li, Juan Cheng, Rencheng Song, Xun Chen:
Bi-CapsNet: A Binary Capsule Network for EEG-Based Emotion Recognition. IEEE J. Biomed. Health Informatics 27(3): 1319-1330 (2023) - [j50]Wei Tang, Fazhi He, Yu Liu:
YDTR: Infrared and Visible Image Fusion via Y-Shape Dynamic Transformer. IEEE Trans. Multim. 25: 5413-5428 (2023) - [j49]Yuanyuan Li, Ziyu Wang, Li Yin, Zhiqin Zhu, Guanqiu Qi, Yu Liu:
X-Net: a dual encoding-decoding method in medical image segmentation. Vis. Comput. 39(6): 2223-2233 (2023) - [c9]Kecheng Zheng, Juan Cheng, Yu Liu:
CCSR-Net: Unfolding Coupled Convolutional Sparse Representation for Multi-focus Image Fusion. PRCV (10) 2023: 285-297 - [i1]Yafei Zhang, Keying Du, Huafeng Li, Zhengtao Yu, Yu Liu:
CHITNet: A Complementary to Harmonious Information Transfer Network for Infrared and Visible Image Fusion. CoRR abs/2309.06118 (2023) - 2022
- [j48]Chang Li, Bin Wang, Silin Zhang, Yu Liu, Rencheng Song, Juan Cheng, Xun Chen:
Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism. Comput. Biol. Medicine 143: 105303 (2022) - [j47]Chang Li, Yimeng Hou, Rencheng Song, Juan Cheng, Yu Liu, Xun Chen:
Multi-channel EEG-based emotion recognition in the presence of noisy labels. Sci. China Inf. Sci. 65(4) (2022) - [j46]Yu Liu, Yu Shi, Fuhao Mu, Juan Cheng, Xun Chen:
Glioma Segmentation-Oriented Multi-Modal MR Image Fusion With Adversarial Learning. IEEE CAA J. Autom. Sinica 9(8): 1528-1531 (2022) - [j45]Yu Liu, Lei Wang, Huafeng Li, Xun Chen:
Multi-focus image fusion with deep residual learning and focus property detection. Inf. Fusion 86-87: 1-16 (2022) - [j44]Chang Li, Chenhong Sui, Rencheng Song, Juan Cheng, Yu Liu, Xun Chen:
Superpixel-Based Noise-Robust Sparse Unmixing of Hyperspectral Image. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j43]Yu Liu, Fuhao Mu, Yu Shi, Xun Chen:
SF-Net: A Multi-Task Model for Brain Tumor Segmentation in Multimodal MRI via Image Fusion. IEEE Signal Process. Lett. 29: 1799-1803 (2022) - [j42]Yu Liu, Hao Zhao, Rencheng Song, Xudong Chen, Chang Li, Xun Chen:
SOM-Net: Unrolling the Subspace-Based Optimization for Solving Full-Wave Inverse Scattering Problems. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j41]Yu Liu, Yu Shi, Fuhao Mu, Juan Cheng, Chang Li, Xun Chen:
Multimodal MRI Volumetric Data Fusion With Convolutional Neural Networks. IEEE Trans. Instrum. Meas. 71: 1-15 (2022) - [j40]Jing Zhang, Aiping Liu, Dan Wang, Yu Liu, Z. Jane Wang, Xun Chen:
Transformer-Based End-to-End Anatomical and Functional Image Fusion. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j39]Wei Tang, Fazhi He, Yu Liu, Yansong Duan:
MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer. IEEE Trans. Image Process. 31: 5134-5149 (2022) - 2021
- [j38]Juan Cheng, Yufei Xu, Rencheng Song, Yu Liu, Chang Li, Xun Chen:
Prediction of arterial blood pressure waveforms from photoplethysmogram signals via fully convolutional neural networks. Comput. Biol. Medicine 138: 104877 (2021) - [j37]Yu Liu, Xun Chen, Aiping Liu, Rabab K. Ward, Zhen Jane Wang:
Recent Advances in Sparse Representation Based Medical Image Fusion. IEEE Instrum. Meas. Mag. 24(2): 45-53 (2021) - [j36]Wei Tang, Yu Liu, Juan Cheng, Chang Li, Xun Chen:
Green Fluorescent Protein and Phase Contrast Image Fusion Via Detail Preserving Cross Network. IEEE Trans. Computational Imaging 7: 584-597 (2021) - [j35]Juan Cheng, Ping Wang, Rencheng Song, Yu Liu, Chang Li, Yong Liu, Xun Chen:
Remote Heart Rate Measurement From Near-Infrared Videos Based on Joint Blind Source Separation With Delay-Coordinate Transformation. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j34]Yu Liu, Lei Wang, Juan Cheng, Xun Chen:
Multiscale Feature Interactive Network for Multifocus Image Fusion. IEEE Trans. Instrum. Meas. 70: 1-16 (2021) - [j33]Rencheng Song, Jiji Li, Juan Cheng, Chang Li, Yu Liu, Xun Chen:
Motion Robust Imaging Ballistocardiography Through a Two-Step Canonical Correlation Analysis. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j32]Huafeng Li, Yueliang Cen, Yu Liu, Xun Chen, Zhengtao Yu:
Different Input Resolutions and Arbitrary Output Resolution: A Meta Learning-Based Deep Framework for Infrared and Visible Image Fusion. IEEE Trans. Image Process. 30: 4070-4083 (2021) - [j31]Juan Cheng, Meiyao Chen, Chang Li, Yu Liu, Rencheng Song, Aiping Liu, Xun Chen:
Emotion Recognition From Multi-Channel EEG via Deep Forest. IEEE J. Biomed. Health Informatics 25(2): 453-464 (2021) - [j30]Rencheng Song, Huan Chen, Juan Cheng, Chang Li, Yu Liu, Xun Chen:
PulseGAN: Learning to Generate Realistic Pulse Waveforms in Remote Photoplethysmography. IEEE J. Biomed. Health Informatics 25(5): 1373-1384 (2021) - 2020
- [j29]Yu Liu, Yufeng Ding, Chang Li, Juan Cheng, Rencheng Song, Feng Wan, Xun Chen:
Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network. Comput. Biol. Medicine 123: 103927 (2020) - [j28]Yu Liu, Chao Zhang, Chang Li, Juan Cheng, Yadong Zhang, Huiqin Xu, Tao Song, Liang Zhao, Xun Chen:
A practical PET/CT data visualization method with dual-threshold PET colorization and image fusion. Comput. Biol. Medicine 126: 104050 (2020) - [j27]Xinle Wang, Haiyang Qian, Edward J. Ciaccio, Suzanne K. Lewis, Govind Bhagat, Peter H. R. Green, Shenghao Xu, Liang Huang, Rongke Gao, Yu Liu:
Celiac disease diagnosis from videocapsule endoscopy images with residual learning and deep feature extraction. Comput. Methods Programs Biomed. 187: 105236 (2020) - [j26]Yu Zhang, Yu Liu, Peng Sun, Han Yan, Xiaolin Zhao, Li Zhang:
IFCNN: A general image fusion framework based on convolutional neural network. Inf. Fusion 54: 99-118 (2020) - [j25]Yu Liu, Lei Wang, Juan Cheng, Chang Li, Xun Chen:
Multi-focus image fusion: A Survey of the state of the art. Inf. Fusion 64: 71-91 (2020) - [j24]Chang Li, Yu Liu, Juan Cheng, Rencheng Song, Jiayi Ma, Chenhong Sui, Xun Chen:
Sparse unmixing of hyperspectral data with bandwise model. Inf. Sci. 512: 1424-1441 (2020) - [j23]Juan Cheng, Xingmao Wang, Rencheng Song, Yu Liu, Chang Li, Xun Chen:
Exploring the feasibility of seamless remote heart rate measurement using multiple synchronized cameras. Multim. Tools Appl. 79(31-32): 23023-23043 (2020) - [j22]Puhong Duan, Xudong Kang, Pedram Ghamisi, Yu Liu:
Multilevel Structure Extraction-Based Multi-Sensor Data Fusion. Remote. Sens. 12(24): 4034 (2020) - [j21]Xuesong Wang, Chen Chen, Yuhu Cheng, Xun Chen, Yu Liu:
Zero-Shot Learning Based on Deep Weighted Attribute Prediction. IEEE Trans. Syst. Man Cybern. Syst. 50(8): 2948-2957 (2020)
2010 – 2019
- 2019
- [j20]Juan Cheng, Luchang Li, Chang Li, Yu Liu, Aiping Liu, Ruobing Qian, Xun Chen:
Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study. IEEE Access 7: 60276-60289 (2019) - [j19]Yu Liu, Chao Zhang, Juan Cheng, Xun Chen, Z. Jane Wang:
A multi-scale data fusion framework for bone age assessment with convolutional neural networks. Comput. Biol. Medicine 108: 161-173 (2019) - [j18]Wei Tang, Yu Liu, Chao Zhang, Juan Cheng, Hu Peng, Xun Chen:
Green Fluorescent Protein and Phase-Contrast Image Fusion via Generative Adversarial Networks. Comput. Math. Methods Medicine 2019: 5450373:1-5450373:11 (2019) - [j17]Yu Liu, Xun Chen, Rabab K. Ward, Z. Jane Wang:
Medical Image Fusion via Convolutional Sparsity Based Morphological Component Analysis. IEEE Signal Process. Lett. 26(3): 485-489 (2019) - [j16]Ming Yin, Xiaoning Liu, Yu Liu, Xun Chen:
Medical Image Fusion With Parameter-Adaptive Pulse Coupled Neural Network in Nonsubsampled Shearlet Transform Domain. IEEE Trans. Instrum. Meas. 68(1): 49-64 (2019) - [j15]Xun Chen, Juan Cheng, Rencheng Song, Yu Liu, Rabab Ward, Z. Jane Wang:
Video-Based Heart Rate Measurement: Recent Advances and Future Prospects. IEEE Trans. Instrum. Meas. 68(10): 3600-3615 (2019) - [j14]Dingyi Li, Yu Liu, Zengfu Wang:
Video Super-Resolution Using Non-Simultaneous Fully Recurrent Convolutional Network. IEEE Trans. Image Process. 28(3): 1342-1355 (2019) - 2018
- [j13]Juan Cheng, Fulin Wei, Chang Li, Yu Liu, Aiping Liu, Xun Chen:
Position-independent gesture recognition using sEMG signals via canonical correlation analysis. Comput. Biol. Medicine 103: 44-54 (2018) - [j12]Yu Liu, Xun Chen, Juan Cheng, Hu Peng, Zengfu Wang:
Infrared and visible image fusion with convolutional neural networks. Int. J. Wavelets Multiresolution Inf. Process. 16(3): 1850018:1-1850018:20 (2018) - [j11]Yu Liu, Xun Chen, Zengfu Wang, Z. Jane Wang, Rabab K. Ward, Xuesong Wang:
Deep learning for pixel-level image fusion: Recent advances and future prospects. Inf. Fusion 42: 158-173 (2018) - [j10]Chang Li, Yu Liu, Juan Cheng, Rencheng Song, Hu Peng, Qiang Chen, Xun Chen:
Hyperspectral Unmixing with Bandwise Generalized Bilinear Model. Remote. Sens. 10(10): 1600 (2018) - [c8]Xun Chen, Chao Zhang, Yu Liu:
Bone Age Assessment with X-Ray Images Based on Contourlet Motivated Deep Convolutional Networks. MMSP 2018: 1-6 - 2017
- [j9]Xun Chen, Aiping Liu, Qiang Chen, Yu Liu, Liang Zou, Martin J. McKeown:
Simultaneous ocular and muscle artifact removal from EEG data by exploiting diverse statistics. Comput. Biol. Medicine 88: 1-10 (2017) - [j8]Yu Liu, Xun Chen, Hu Peng, Zengfu Wang:
Multi-focus image fusion with a deep convolutional neural network. Inf. Fusion 36: 191-207 (2017) - [j7]Yu Liu, Baocai Yin, Jun Yu, Zengfu Wang:
Image classification based on convolutional neural networks with cross-level strategy. Multim. Tools Appl. 76(8): 11065-11079 (2017) - [c7]Yu Liu, Xun Chen, Juan Cheng, Hu Peng:
A medical image fusion method based on convolutional neural networks. FUSION 2017: 1-7 - [c6]Dingyi Li, Yu Liu, Zengfu Wang:
Video super-resolution using motion compensation and residual bidirectional recurrent convolutional network. ICIP 2017: 1642-1646 - 2016
- [j6]Yu Liu, Shuping Liu, Yang Cao, Zengfu Wang:
Automatic chessboard corner detection method. IET Image Process. 10(1): 16-23 (2016) - [j5]Yu Liu, Xun Chen, Rabab K. Ward, Z. Jane Wang:
Image Fusion With Convolutional Sparse Representation. IEEE Signal Process. Lett. 23(12): 1882-1886 (2016) - 2015
- [j4]Yu Liu, Zengfu Wang:
Simultaneous image fusion and denoising with adaptive sparse representation. IET Image Process. 9(5): 347-357 (2015) - [j3]Yu Liu, Shuping Liu, Zengfu Wang:
Multi-focus image fusion with dense SIFT. Inf. Fusion 23: 139-155 (2015) - [j2]Yu Liu, Shuping Liu, Zengfu Wang:
A general framework for image fusion based on multi-scale transform and sparse representation. Inf. Fusion 24: 147-164 (2015) - [j1]Yu Liu, Zengfu Wang:
Dense SIFT for ghost-free multi-exposure fusion. J. Vis. Commun. Image Represent. 31: 208-224 (2015) - [c5]Yu Liu, Baocai Yin, Jun Yu, Zengfu Wang:
Cross-Level: A Practical Strategy for Convolutional Neural Networks Based Image Classification. CCCV (1) 2015: 398-406 - 2014
- [c4]Shuping Liu, Yu Liu, Jun Yu, Zengfu Wang:
A Static Hand Gesture Recognition Algorithm Based on Krawtchouk Moments. CCPR (2) 2014: 321-330 - [c3]Yu Liu, Shuping Liu, Zengfu Wang:
Medical Image Fusion by Combining Nonsubsampled Contourlet Transform and Sparse Representation. CCPR (2) 2014: 372-381 - [c2]Yu Liu, Shuping Liu, Yang Cao, Zengfu Wang:
A practical algorithm for automatic chessboard corner detection. ICIP 2014: 3449-3453 - 2013
- [c1]Yu Liu, Zengfu Wang:
Multi-focus Image Fusion Based on Sparse Representation with Adaptive Sparse Domain Selection. ICIG 2013: 591-596
Coauthor Index
[j72] [j71] [j70] [j67] [j65] [j64] [j63] [j62] [j61] [j58] [j57] [j56] [j54] [j53] [j52] [j51] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j25] [j24] [j23] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j13] [j12] [j11] [j10] [c8] [j9] [j8] [c7] [j5]
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