Yu Liu (刘羽)

Professor

Department of Biomedical Engineering,

School of Instrument Science and Opto-electronics Engineering,

Hefei University of Technology,

Email: yuliu@hfut.edu.cn

Google Scholar   GitHub

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Education

2011.9-2016.6, Department of Automation, University of Science and Technology of China, Supervisor: Prof. Zengfu Wang .

2007.9-2011.6. Department of Automation, University of Science and Technology of China, GPA: 3.97, rank: 1/105.

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Research Interests

Image processing, computer vision, machine learning, pattern recognition. Particularly in image fusion, image restoration,

visual recognition, object detection, convolutional neural networks, image/video-based biomedical applications.

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Honors and Awards

• 2023 Clarivate Highly Cited Researcher (科睿唯安全球高被引科学家)

• 2023 Elsevier Highly Cited Chinese Researcher (爱思唯尔中国高被引学者)

• 2023 Wu Wen Jun AI Science & Technology Award for Excellent Youth (吴文俊人工智能优秀青年奖)

• 2023 Chinese Institute of Electronics Science and Technology Award (Second Class Prize of the Natural Science Category)

• 2022 Elsevier Highly Cited Chinese Researcher (爱思唯尔中国高被引学者)

• 2022 China Instrument Society Jin Guofan Prize for Excellent Youth

• 2021 Elsevier Highly Cited Chinese Researcher (爱思唯尔中国高被引学者)

• 2020 Elsevier Highly Cited Chinese Researcher (爱思唯尔中国高被引学者)

• 2020 IEEE Instrumentation and Measurement Society Andi Chi Best Paper Award (Corresponding Author) 

• 2019 Anhui Province Science and Technology Award (Second Class Prize of the Natural Science Category)

• 2017 IET Image Processing Premium (Best Paper) Award (First Author) 

• 2017 Excellent Youth Paper Award by Chinese Society of Biomedical Engineering 

• 2016 Chinses Academy of Sciences, the Zhu Li Yuehua Outstanding Doctoral Scholarship

• 2015 Chinese Academy of Sciences, the President Outstanding Scholarship

• 2014 The Chinese National Scholarship for Excellent Graduate (Doctor) Students

• 2013 The Chinese National Scholarship for Excellent Graduate (Master) Students

• 2010 The 30th GUO Moruo Scholarship (The Highest Award for Undergraduate Students at USTC)

• 2009 The Chinese National Scholarship for Excellent Undergraduate Students

• 2008 The Chinese National Scholarship for Excellent Undergraduate Students

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Publications

Journal papers:

1. 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 Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 8, pp. 5806-5819, 2024. (Code)

2. Huafeng Li, Junyu Liu, Yafei Zhang, Yu Liu*, “A Deep Learning Framework for Infrared and Visible Image Fusion without Strict Registration,” International Journal of Computer Vision, vol. 132, pp. 1625-1644, 2024. (Code)

3. 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 Transactions on Image Processing, vol. 33, pp. 2197-2212, 2024. (Code)

4. Yu Liu, Yize Ma, Zhiqin Zhu, Juan Cheng, Xun Chen, “TransSea: Hybrid CNN-Transformer With Semantic Awareness for 3-D Brain Tumor Segmentation,” IEEE Transactions on Instrumentation and Measurement, vol. 73, p. 2521316, 2024.

5. Dingyi Li, Yu Liu*, Zengfu Wang, Jian Yang, “Video Rescaling with Recurrent Diffusion,” IEEE Transactions on Circuits and Systems for Video Technology, in press, 2024.

6. Yuhang Chen, Aiping Liu, Yu Liu*, Zhiyang He, Cong Liu, Xun Chen, “Multi-Dimensional Medical Image Fusion With Complex Sparse Representation,” IEEE Transactions on Biomedical Engineering, in press, 2024. 

7. 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 Recognition, vol. 153, p. 110553, 2024. 

8. 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," Computers in Biology and Medicine, vol. 172, p. 108284, 2024.

9. Juan Cheng, Chenchu Yin, Rencheng Song, Jing Fu, Yu Liu*, “Facial video-based heart rate measurement against irregular motion artifacts,” Journal of Image and Graphics, vol. 29, no. 7, pp. 2024-2034, 2024. (in Chinese) 

10. Huafeng Li, Ming Yuan, Jinxing Li, Yu Liu, Guangming Lu, Yong Xu, Zhengtao Yu, David Zhang, "Focus Affinity Perception and Super-Resolution Embedding for Multi-Focus Image Fusion," IEEE Transactions on Neural Networks and Learning Systems, in press, 2024.

11. Jing Zhang, Aiping Liu, Yu Liu, Bensheng Qiu, Qingguo Xie,  Xun Chen, "LeGFusion: Locally-enhanced Global Learning for Multi-Modal Image Fusion," IEEE Sensors Journal, vol. 24, no. 8, pp. 12806-12818, 2024.

12. Kai Shi, Aiping Liu, Jing Zhang, Yu Liu, Xun Chen, “Medical Image Fusion Based on Multi-level Bidirectional Feature Interaction Network,” IEEE Sensors Journal, vol. 24, no. 12, pp. 19428-19441, 2024.

13. Yuhang Chen, Yu Liu, Rabab K. Ward, Xun Chen, “Multi-focus Image Fusion With Complex Sparse Representation,” IEEE Sensors Journal, in press, 2024. 

14. 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,” Knowledge-Based Systems, vol. 296, p. 111866, 2024.

15. Xiaowen Zhang, Aiping Liu, Gang Yang, Yu Liu, Xun Chen, “SIMFusion: A semantic information-guided modality-specific fusion network for MR Images,” Information Fusion, vol. 112, p. 102560, 2024. 

16. 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 Transactions on Circuits and Systems for Video Technology, vol. 33, no. 9, pp. 4934-3947, 2023. (Code)

17. Yu Liu, Zhigang Yang, Juan Cheng, Xun Chen, “Multi-Exposure Image Fusion via Multi-scale and Context-aware Feature Learning,” IEEE Signal Processing Letters, vol. 30, pp. 100-104, 2023. (Code)

18. Yu Liu, Yi Wei, Chang Li, Juan Cheng, Rencheng Song, Xun Chen, “Bi-CapsNet: A Binary Capsule Network for EEG-based Emotion Recognition,” IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 3, pp. 1319-1330, 2023. 

19. Yi Wei, Yu Liu*, Chang Li, Juan Cheng, Rencheng Song, Xun Chen, “TC-Net: A Transformer Capsule Network for EEG-based Emotion Recognition,” Computers in Biology and Medicine, vol. 152, p. 106463, 2023. 

20. 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,” Information Fusion, vol. 91, pp. 376-387, 2023. (ESI Hot Paper, ESI Highly Cited Paper)

21. Yu Liu, Jiayi Ma, Qiang Zhang, Wei Wei, Xun Chen, Zheng Liu, “Editorial: Multimodal brain image fusion: Methods, evaluations, and applications,” Frontiers in Neuroscience, vol. 16, p. 1128938, 2023.  

22. Yu Liu, Wenyu Zhu, Juan Cheng, Xun Chen, “Multi-modal MR image super-resolution with residual dense attention network,” Journal of Image and Graphics, vol. 28, no. 1, pp. 248-259, 2023. (In Chinese) 

23. Lei Wang, Zhengzheng Qi, Yu Liu*, “The review of multi-focus image fusion methods based on deep learning,” Journal of Image and Graphics, vol. 28, no. 1, pp. 80-101, 2023. (in Chinese) 

24. Wei Tang, Fazhi He, Yu Liu, “YDTR: Infrared and Visible Image Fusion via Y-shape Dynamic Transformer,” IEEE Transactions on Multimedia, vol. 25, pp. 5413-5428, 2023.  (ESI Highly Cited Paper) 

25. 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 Transactions on Instrumentation and Measurement, vol. 72, p. 4008611, 2023.

26. Juan Cheng, Bicheng Yue, Rencheng Song, Yu Liu, Chang Li, Xun Chen, "Motion-robust anterior-posterior imaging ballistocardiography for non-contact heart rate measurements," Biomedical Signal Processing and Control, vol. 86, p. 105307, 2023.

27. Wei Tang, Fazhi He, Yu Liu, Yansong Duan, Tongzhen Si, “DATFuse: Infrared and Visible Image Fusion via Dual Attention Transformer,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 7, pp. 3159-3172, 2023. 

28. Wei Tang, Fazhi He, Yu Liu, “TCCFusion: An Infrared and Visible Image Fusion Method based on Transformer and Cross Correlation,” Pattern Recognition, vol. 137, p. 109295, 2023.

29. Xietian Wang, Aiping Liu, Le Wu, Chang Li, Yu Liu, Xun Chen, “A Generalized Zero-shot Learning Scheme for SSVEP-Based BCI System,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 863-874, 2023.

30. Jing Zhang, Yu Liu, Aiping Liu, Qingguo Xie, Rabab Ward, Z. Jane Wang, Xun Chen, "Multi-modal Image Fusion via Self-supervised Transformer," IEEE Sensors Journal, vol. 23, no. 9, pp. 9796-9807, 2023.

31. Muhua Xu, Juan Cheng, Chang Li, Yu Liu, Xun Chen, “Spatio-temporal deep forest for emotion recognition based on facial electromyography signals,” Computers in Biology and Medicine, vol. 156, p. 106689, 2023.

32. Chang Li, Zhongzhen Zhang, Rencheng Song, Juan Cheng, Yu Liu, Xun Chen, “EEG-based Emotion Recognition via Neural Architecture Search,” IEEE Transactions on Affective Computing, vol. 14, no. 1, pp. 382-393, 2023. (ESI Highly Cited Paper) 

33. 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 Transactions on Affective Computing, vol. 14, no. 1, pp. 382-393, 2023. (ESI Highly Cited Paper) 

34. Chang Li, Zhongzhen Zhang, Xiaodong Zhang, Guoning Huang, Yu Liu, Xun Chen, “EEG-based Emotion Recognition via Transformer Neural Architecture Search”, IEEE Transactions on Industrial Informatics, vol. 19, no. 4, pp. 6016-6025, 2023. (ESI Highly Cited Paper) 

35. Yuanyuan Li, Ziyu Wang, Li Yin, Zhiqin Zhu, Guanqiu Qi, Yu Liu, “X-Net: A dual encoding-decoding method in medical image segmentation,” The Visual Computer, vol. 39, pp. 2223-2233, 2023.

36. 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 Transactions on Geoscience and Remote Sensing, vol. 60, p. 2007715, 2022. 

37. 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 Processing Letters, vol. 29, pp. 1799-1803, 2022. (Code)

38. Yu Liu, Fuhao Mu, Yu Shi, Juan Cheng, Chang Li, Xun Chen, “Brain Tumor Segmentation in Multimodal MRI via Pixel-level and Feature-level Image Fusion,” Frontiers in Neuroscience, vol. 16, p. 1000587, 2022. 

39. Yu Liu, Lei Wang, Huafeng Li, Xun Chen, “Multi-focus image fusion with deep residual learning and focus property detection,” Information Fusion, vol. 86-87, pp. 1-16, 2022. (Code)   

40. Yu Liu, Yu Shi, Fuhao Mu, Juan Cheng, Chang Li, Xun Chen, “Multimodal MRI Volumetric Data Fusion with Convolutional Neural Networks,” IEEE Transactions on Instrumentation and Measurement, vol. 71, p. 4006015, 2022. (Code)

41. Yu Liu, Yu Shi, Fuhao Mu, Juan Cheng, Xun Chen, “Glioma Segmentation-Oriented Multi-modal MR Image Fusion with Adversarial Learning,” IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 8, pp. 1528-1531, 2022. (Code)

42. Yu Liu, Rongrong Wu, Lu Tang, Ningning Song, “U-Net for Mediastinal Lymph Node Segmentation in Bronchial Ultrasound Elastic Images,” Journal of Image and Graphics, vol. 21, no. 10, pp. 2082-2091, 2022. (In Chinese) 

43. Juan Cheng, Chuya Zhang, Yu Liu*, Chang Li, Zhiqin Zhu, Xun Chen, “Glioma segmentation based on feature selection of multi-modal MR images,” Chinese Journal of Biomedical Engineering, vol. 41, no. 5, pp. 513-526, 2022. (in Chinese)

44. Jing Zhang, Aiping Liu, Dan Wang, Yu Liu, Z. Jane Wang, Xun Chen, “Transformer-based End-to-End Anatomical and Functional Image Fusion,” IEEE Transactions on Instrumentation and Measurement, vol. 71, p. 5019711, 2022.

45. Wei Tang, Fazhi He, Yu Liu, Yansong Duan, “MATR: Multimodal Medical Image Fusion via Multiscale Adaptive Transformer,” IEEE Transactions on Image Processing, vol. 31, pp. 5134-5149, 2022. (ESI Highly Cited Paper)  

46. Chang Li, Xuejuan Lin, Yu Liu, Rencheng Song, Juan Cheng, Xun Chen, “EEG-based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning,” IEEE Sensors Journal, vol. 22, no. 20, pp. 19608-19619, 2022.

47. Yuhang Chen, Aiping Liu, Yu Liu, Ruobing Qian, Qingguo Xie, Xun Chen, “Image Fusion with Sparse Representation: A Novel Local Contrast-Based Preprocessing Strategy,” IEEE Sensors Letters, vol. 6, no. 5, p. 7001604, 2022.

48. Chang Li, Yimeng Hou, Rencheng Song, Juan Cheng, Yu Liu, Xun Chen, “Multi-channel EEG-based emotion recognition in the presence of noisy labels,” Science China Information Sciences, vol. 65, no. 4, p. 140405, 2022.

49. 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,” Computers in Biology and Medicine, vol. 143, p. 105303, 2022. (ESI Highly Cited Paper) 

50. Chang Li, Chenhong Sui, Rencheng Song, Juan Cheng, Yu Liu, Xun Chen, “Superpixel-based noise robust sparse unmixing of hyperspectral image,” IEEE Geoscience and Remote Sensing Letters, vol. 19, p. 6004405, 2022.

51. Yu Liu, Lei Wang, Juan Cheng, Xun Chen, “Multiscale feature interactive network for multifocus image fusion,” IEEE Transactions on Instrumentation and Measurement, vol. 70, p. 5019316, 2021. (Code)

52. Rencheng Song, Qiao Zhou, Yu Liu*, Chang Li, Xun Chen, “A convolutional sparsity regularization for solving inverse scattering problems,” IEEE Antennas and Wireless Propagation Letters, vol. 20, no. 12, pp. 2285-2289, 2021.

53. Wei Tang, Yu Liu*, Juan Cheng, Chang Li, Xun Chen, “Green fluorescent protein and phase contrast image fusion via detail preserving cross network,” IEEE Transactions on Computational Imaging, vol. 7, pp. 584-597, 2021. (Code)

54. 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 Transactions on Image Processing, vol. 30, pp. 4070-4083, 2021. (Code)

55. Yu Liu, Xun Chen, Aiping Liu, Rabab. K. Ward, Z. Jane Wang, “Recent advances in sparse representation based medical image fusion,” IEEE Instrumentation & Measurement Magazine, vol. 24, no. 2, pp. 45-53, 2021. (Invited Paper)

56. 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,” Computers in Biology and Medicine, vol. 138, p. 104877, 2021.

57. Rencheng Song, Huan Chen, Juan Cheng, Chang Li, Yu Liu, Xun Chen, “PulseGAN: Learning to generate realistic waveforms in remote photoplethysmography,” IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 5, pp. 1373-1384, 2021.

58. 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 Transactions on Instrumentation and Measurement, vol. 70, p. 5005313, 2021.

59. Rencheng Song, Jiji Li, Juan Cheng, Chang Li, Yu Liu, Xun Chen, “Motion robust imaging ballistocardiography through a two-step canonical correlation analysis,” IEEE Transactions on Instrumentation and Measurement, vol. 70, p. 4001710, 2021.

60. Juan Cheng, Meiyao Chen, Chang Li, Yu Liu, Rencheng Song, Aiping Liu, Xun Chen, “Emotion recognition from multi-channel EEG via deep forest,” IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 2, pp. 453-464, 2021. (ESI Highly Cited Paper) 

61. 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,” Computers in Biology and Medicine, vol. 126, p. 104050, 2020. (Code)

62. 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,” Computers in Biology and Medicine, vol. 123, p. 103927, 2020.

63. Yu Liu, Lei Wang, Juan Cheng, Chang Li, Xun Chen, “Multi-focus image fusion: A survey of the state of the art,” Information Fusion, vol. 64, pp. 71-91, 2020. (Invited Paper, ESI Highly Cited Paper) (A Benchmark for MFIF)

64. Wei Tang, Yu Liu*, Juan Cheng, Chang Li, Hu Peng, Xun Chen, “A phase congruency-based green fluorescent protein and phase contrast image fusion method in nonsubsampled shearlet transform domain,” Microscopy Research and Technique, vol. 83, no. 10, pp. 1225-1234, 2020.

65. Juan Cheng, Fulin Wei, Yu Liu*, Chang Li, Qiang Chen, Xun Chen, “Chinese sign language recognition based on DTW-distance-mapping features,” Mathematical Problems in Engineering, vol. 2020, p. 8953670, 2020.

66. Xinle Wang, Haiyang Qian, Edward J. Ciaccio, Suzanne K. Lewis, Govind Bhagat, Peter H. Green, Shenghao Xu, Liang Huang, Rongke Gao*, Yu Liu*, “Celaic disease diagnosis from videocapsle endoscopy images with residual learning and deep feature extraction,” Computer Methods and Programs in Biomedicine, vol. 187, p. 105236, 2020.

67. Yu Zhang, Yu Liu, Peng Sun, Han Yan, Xiaolin Zhao, Li Zhang, “IFCNN: A general image fusion framework based on convolutional neural network,” Information Fusion, vol. 54, pp. 99-118, 2020. (ESI Highly Cited Paper) (Code)

68. Puhong Duan, Xudong Kang, Pedram Ghamisi, Yu Liu, “Multilevel structure extraction-based multi-sensor data fusion,” Remote Sensing, vol. 12, no. 24, p. 4034, 2020.

69. 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,” Multimedia Tools and Applications, vol. 79, pp. 23023-23043, 2020.

70. Mingyao Zheng, Guanqiu Qi, Zhiqing Zhu, Yuanyuan Li, Hongyan Wei, Yu Liu, “Image dehazing by an artificial image fusion method based on adaptive structure decomposition,” IEEE Sensors Journal, vol. 20, no. 14, pp. 8062-8072, 2020. (ESI Highly Cited Paper) 

71. Chang Li, Yu Liu, Juan Cheng, Rencheng Song, Jiayi Ma, Chenhong Sui, Xun Chen, “Sparse unmixing of hyperspectral data with bandwise model,” Information Sciences, vol. 512, pp. 1424-1441, 2020.

72. Xuesong Wang, Chen Chen, Yuhu Cheng, Xun Chen, Yu Liu, “Zero-shot learning based on deep weighted attribute prediction,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 8,  pp. 2948-2957, 2020.

73. Ming Yin, Xiaoning Liu, Yu Liu*, Xun Chen, “Medical image fusion with parameter-adaptive pulse coupled neural network in nonsubsampled shearlet transform domain,” IEEE Transactions on Instrumentation and Measurement, vol. 68, no. 1, pp. 49-64, 2019. (2020 IEEE TIM Andy Chi Best Paper Award, ESI Highly Cited Paper) (Code)

74. Yu Liu, Xun Chen, Rabab Ward, Z. Jane Wang, “Medical image fusion via convolutional sparsity based morphological component analysis,” IEEE Signal Processing Letters, vol. 26, no. 3, pp. 485-489, 2019. (ESI Highly Cited Paper) (Code)

75. 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,” Computers in Biology and Medicine, vol. 108, pp. 161-173, 2019.

76. Wei Tang, Yu Liu*, Chao Zhang, Juan Cheng, Hu Peng, Xun Chen, “Green fluorescent protein and phase-contrast image fusion via generative adversarial networks,” Computational and Mathematical Methods in Medicine, vol. 2019, p. 5450373, 2019.

77. Dingyi Li, Yu Liu, Zengfu Wang, “Video super-resolution using non-simultaneous fully recurrent convolutional network,” IEEE Transactions on Image Processing, vol. 28, no. 3, pp. 1342-1355, 2019.

78. Lei Ma, Yu Liu, Xueliang Zhang, Yuanxin Ye, Gaofei Yin, Brian Alan Johoson, “Deep learning in remote sensing applications: A meta-analysis and review,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 152, pp. 166-177, 2019. (ESI Hot Paper, ESI Highly Cited Paper)

79. Chang Li, Wei Tao, Juan Cheng, Yu Liu, Xun Chen, “Robust multichannel EEG compressed sensing in the presence of mixed noise,” IEEE Sensors Journal, vol. 19, no. 22, pp. 10574-10583, 2019

80. 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, vol. 7, pp. 60276-60289, 2019.

81. Xun Chen, Juan Cheng, Rencheng Song, Yu Liu, Rabab Ward, Z. Jane Wang, “Video-Based Heart Rate Measurement: Recent Advances and Future Prospects,” IEEE Transactions on Instrumentation and Measurement, vol. 68, no. 10, pp. 3600-3615, 2019.

82. Yu Liu, Xun Chen, Zengfu Wang, Z.Jane Wang, RababWard, Xuesong Wang, “Deep learning for pixel-level image fusion: recent advances and future prospects,” Information Fusion, vol. 42, pp. 158-173, 2018. (Invited Paper, ESI Highly Cited Paper)

83. Yu Liu, Xun Chen, Juan Cheng, Hu Peng, Zengfu Wang, “Infrared and visible image fusion with convolutional neural networks,” International Journal of Wavelets, Multiresolution and Information Processing, vol. 16, no. 3, 1850018: 1-20, 2018. (ESI Highly Cited Paper)  (Code)

84. Chang Li, Yu Liu, Juan Cheng, Rencheng Song, Hu Peng, Qiang Chen, Xun Chen, “Hyperspectral unmixing with bandwise generalized bilinear model,” Remote Sensing, vol. 2018, no. 10, paper ID 1600, pp. 1-10, 2018.

85. Juan Cheng, Fulin Wei, Chang Li, Yu Liu, Aiping Liu, Xun Chen, “Position-independent gesture recognition using sEMG signals via canonical correlation analysis,” Computers in Biology and Medicine, vol. 103, pp. 44-54, 2018.

86. Zhengyuan Xu, Yu Liu, Mingquan Ye, Lei Huang, Hao Yu, Xun Chen, “Patch based collaborative representation with Gabor feature and measurement matrix for face recognition,”, Mathematical Problems in Engineering, 2018, 3025264: 1-13.

87. Yu Liu, Xun Chen, Hu Peng, Zengfu Wang, “Multi-focus image fusion with a deep convolutional neural network,” Information Fusion, vol. 36, pp. 191–207, 2017. (ESI Highly Cited Paper) (Code)

88. Yu Liu, Baocai Yin, Jun Yu, Zengfu Wang, “Image classification based on convolutional neural networks with cross-level strategy,” Multimedia Tools and Applications, vol. 76, no. 8, pp. 11065-11079, 2017.

89. Xun Chen, Aiping Liu, Qiang Chen, Yu Liu, Liang Zou, “Simultaneous Ocular and Muscle Artifact Removal From EEG Data by Exploiting Diverse Statistics,” Computers in Biology and Medicine, vol. 88, pp. 1-10, 2017.

90. Yu Liu, Xun Chen, Rabab Ward, Z.Jane Wang, “Image Fusion With Convolutional Sparse Representation,” IEEE Signal Processing Letters, vol. 23, no. 12, pp. 1882-1886, 2016. (ESI Highly Cited Paper)  (Code)

91. Yu Liu, Shuping Liu, Yang Cao, Zengfu Wang, “Automatic chessboard corner detection method,” IET Image Processing, vol. 10, no. 1, pp. 16-23, 2016.

92. Yu Liu, Zengfu Wang, “Dense SIFT for ghost-free multi-exposure fusion,” Journal of Visual Communication and Image Representation, vol. 31, pp. 208-224, 2015. (Code)

93. Yu Liu, Shuping Liu, Zengfu Wang, “A general framework for image fusion based on multi-scale transform and sparse representation,” Information Fusion, vol. 24, pp. 147-164, 2015. (ESI Hot Paper, ESI Highly Cited Paper) (MST-SR-Fusion-Toolbox)

94. Yu Liu, Zengfu Wang, “Simultaneous image fusion and denoising with adaptive sparse representation,” IET Image Processing, vol. 9, no. 5, pp. 347-357, 2015. (2017 Premium Award for the Best Paper in IET Image Processing, ESI Highly Cited Paper) (Code)

95. Yu Liu, Shuping Liu, Zengfu Wang, “Multi-focus image fusion with dense SIFT,” Information Fusion, vol. 23, pp. 139-155, 2015. (ESI Highly Cited Paper) (Code)

96. Shuping Liu, Yu Liu, Jun Yu, Zengfu Wang, “Hierarchical static hand gesture recognition by combining finger detection and HOG features,” Journal of Image and Graphics, vol. 20, no. 6, pp. 781-788, 2015. (In Chinese) (2016 Journal of Image and Graphics Excellent Paper)

97. Baocai Yin, Yu Liu, Zengfu Wang, “Moving shadow detection by combining chromaticity and texture invariance,” Journal of Image and Graphics, vol. 19, no. 6, pp. 896-905, 2014. (In Chinese)

98. Wenhui Xiang, Yu Liu, Yang Cao, Zengfu Wang, “3D Ground Plane Estimation from a Monocular Vehicle-borne Image,” Robot, vol. 36, no. 1, pp. 76-82, 2014. (In Chinese)

99. Yu Liu, Zengfu Wang, “Multi-focus image fusion based on wavelet transform and adaptive block,” Journal of Image and Graphics, vol. 18, no. 11, pp. 1435-1444, 2013. (In Chinese) (Code)

Conference papers:

1. Kecheng Zheng, Juan Cheng, Yu Liu, "CCSR-Net: Unfolding Coupled Convolutional Sparse Representation for Multi-focus Image Fusion," 6th Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Xiamen, China, Oct. 13-15, 2023, LNCS 14434, pp. 285-297.

2. Wei Tang, Lei Wang, Yu Liu*, “Green fluorescent protein and phase contrast image fusion via dual attention residual network,” IEEE International Conference on Medical Imaging Physics and Engineering (ICMIPE), Hefei, China, Nov. 12-14, 2021, pp. 1-6. 

3. Xun Chen, Chao Zhang, Yu Liu*, “Bone Age Assessment with X-Ray Images Based on Contourlet Motivated Deep Convolutional Networks,” 20th IEEE International Workshop on Multimedia Signal Processing (MMSP), Vancouver, Canada, Aug. 29-31, 2018, pp. 1-6.

4. Dingyi Li, Yu Liu, Zengfu Wang, “Video super-resolution using motion compensation and residual bidirectional recurrent convolutional network,” 24th IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep. 17-20, 2017, pp. 1642-1646.

5. Yu Liu, Xun Chen, Juan Cheng, Hu Peng, “A medical image fusion method based on convolutional neural networks,” 20th International Conference on Information Fusion (ICIF), Xi’an, China, July 10-13, 2017, pp. 1070-1076. (Code)

6. Yu Liu, Baocai Yin, Jun Yu, Zengfu Wang, “Cross-level: A practical strategy for convolutional neural networks based image classification,” 1st CCF Chinese Conference on Computer Vision (CCCV), Xi’an, China, Sep. 18-20, 2015, CCIS 546, pp. 398-406.

7. Yu Liu, Shuping Liu, Yang Cao, Zengfu Wang, “A practical algorithm for automatic chessboard corner detection,” 21th IEEE International Conference on Image Processing (ICIP), Paris, France, Oct. 27-30, 2014, pp. 3394-3398.

8. Yu Liu, Shuping Liu, Zengfu Wang, “Medical Image Fusion by combining nonsubsampled contourlet transform and sparse representation,” 6th Chinese Conference on Pattern Recognition (CCPR), Nov. 17-19, Changsha, China, 2014, pp. 372-381.

9. Shuping Liu, Yu Liu, Jun Yu, Zengfu Wang, “A static hand gesture recognition algorithm based on Krawtchouk moments,” 6th Chinese Conference on Pattern Recognition (CCPR), Nov. 17-19, Changsha, China, 2014, pp. 321-330.

10. Yu Liu, Zengfu Wang, “A practical pan-sharpening method with wavelet transform and sparse representation,” 10th IEEE International Conference on Imaging Systems and Techniques (IST), Beijing, China, Oct. 22-23, 2013, pp. 288-293.

11. Yu Liu, Zengfu Wang, “Multi-focus image fusion based on sparse representation with adaptive sparse domain selection,” 7th International Conference on Image and Graphics (ICIG), Qingdao, China, Jul. 26-28, 2013, pp. 591-596.