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Publications (* indicates the corresponding author):

2027:

1. Xinzhu Zhao, Yu Shi, Shuai Yuan, Juan Cheng, Yu Liu*, MiFAD: A Multimodal Image Fusion-Assisted Diagnosis Framework for Early Alzheimer's Disease, Information Fusion , vol. 138, p. 104744, 2027.

2. Zhuoyifan Zhang, Xiaoshuai Hao, Rong Yin, Jian Li, Haichao Shi, Haoran Li, Hao Peng, Yu Liu, Can Ma, Parameter-Efficient Fine-Tuning for Multimodal Fusion: A Survey of Injection-Driven Integration Mechanisms, Information Fusion , vol. 138, p. 104682, 2027.




2026:

3. Zengyi Yang, Yu Liu*, Juan Cheng, Zhiqin Zhu, Yafei Zhang, Huafeng Li*, Customized Fusion: A Closed-Loop Dynamic Network for Adaptive Multi-Task-Aware Infrared-Visible Image Fusion, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 188-198, 2026. (Oral (141/4072, 3.4%), Best Paper Award Candidates (74/4072, 1.8%)) (Code)

4. Yu Shi, Yu Liu*, Zhong-Cheng Wu, Juan Cheng, Huafeng Li, Xun Chen, Degradation-Robust Fusion: An Efficient Degradation-Aware Diffusion Framework for Multimodal Image Fusion in Arbitrary Degradation Scenarios, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 33848-33858, 2026. (Code)

5. Yiming Zhu, Tianpei Zhang, Jufeng Zhao, Lang Wu, Zhao Cai, Shuai Yuan, Yu Liu*, DDFusion: Modality-Specific Degradation Decoupling for Robust Infrared-Visible Image Fusion, IEEE Transactions on Multimedia , in press, 2026.

6. Ting Lv, Hong Jiang, Yu Liu*, STAFuse: Scene-Text Aggregation Guided Composite Degradation-Robust Infrared and Visible Image Fusion, IEEE Transactions on Image Processing , vol. 35, pp. 8603-8618, 2026.

7. Xinkai Ren, Yu Shi, Shuai Yuan, Juan Cheng, Zhiqin Zhu, Yu Liu*, LFC-SATP-SGG: Latent Feature Completion and State-Aware Text Prompting with Semantic-Guided Gating for Incomplete Multi-Modality Brain Tumor Segmentation, IEEE Journal of Biomedical and Health Informatics , in press, 2026.

8. Zhiqin Zhu, Keyu Pu, Yu Liu*, Guanqiu Qi, Yan Ding, Baisen Cong, Towards Direction-Equilibrated Segmentation in 3D Medical Images, 29th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), accepted, 2026.

9. Weihao Zhang, Yu Liu*, Correlation-Guided Recursive Pyramid Network for Deformable Brain MRI Registration, IEEE Transactions on Image Processing, vol. 35, pp. 5567-5582, 2026.

10. Zhong-Cheng Wu, Liang-Jian Deng*, Ting-Zhu Huang, Hong-Xia Dou, Gemine Vivone, Yu Liu*, Tensor Wheel Decomposition: Theory and Application to Tensor Completion, IEEE Transactions on Image Processing, vol. 35, pp. 4237-4352, 2026.

11. Xiaoshuai Hao, Zhihui Zhang*, Yingbo Tang, Lingfeng Zhang, Peng Hao, Yunfeng Diao, Guangyin Jin, Yu Liu*, Synergistic Prompting for Complementarity and Consistency in Incomplete Multi-View Clustering, IEEE Transactions on Image Processing, vol. 35, pp. 6289-6304, 2026.

12. Yize Ma, Yu Liu*, Juan Cheng, Haolin Zhan, Guanqiu Qi, Xiaopei Zhang, Zhiqin Zhu, CIHM: Context-Insight Hybrid Mamba for Efficient Medical Image Segmentation, Visual Intelligence, vol. 4, p. 12, 2026.

13. Weihao Zhang, Yu Liu*, Trustworthy Anatomical Rectification: A Weakly-Supervised Pre-Alignment Framework for Deformable Medical Image Registration, IEEE Signal Processing Letters, vol. 33, pp. 2365-2369, 2026.

14. Jiejiang Yu, Yu Liu*, DPFR: Semi-supervised gland segmentation via density perturbation and feature recalibration, Medical Image Analysis, vol. 110, p. 103962, 2026. (Code)

15. Shuai Yuan, Yu Liu*, Xiaopei Zhang, Xiang Yan*, Hanlin Qin, Naveed Akhtar, SP-KAN: Sparse-sine perception Kolmogorov–Arnold networks for infrared small target detection, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 234, pp. 1-19, 2026. (Code)

16. Yuhang Chen, Aiping Liu*, Yu Liu*, Zhiyang He, Xiaoliang Lu, Xun Chen*, Bridging multi-scale transform and sparse representation: Unified Gabor Tensor Sparse Representation for Multi-dimensional medical image fusion, Information Fusion , vol. 133, p. 104335, 2026.

17. Qing Cai, Shaozhe Wang, Fan Zhang, Cheng Zhang, Yu Liu*, Huafeng Li*, Junyu Dong, David Zhang, Multimodal Artificial Intelligence for Disease Diagnosis: Advances, Applications, and Challenges, Pattern Recognition, vol. 178, p. 113456, 2026.

18. Zhiqin Zhu, Yang Yang, Guanqiu Qi*, Shuang Li*, Huafeng Li, Yu Liu*, Seeing Clearly, Detecting Precisely: Perceptual Enhancement and Focus Calibration for Small Object Detection, IEEE Transactions on Neural Networks and Learning Systems, in press, 2026.

19. Kai Cui, Jia Li*, Yu Liu*, Xuesong Zhang, Zhenzhen Hu, Meng Wang, PhysioSync: Temporal and Cross-Modal Contrastive Learning Inspired by Physiological Synchronization for EEG-Based Emotion Recognition, IEEE Transactions on Computational Social Systems, vol. 13, no. 2, pp. 1341-1354, 2026.

20. Yida Chen, Yafei Zhang, Huafeng Li,Zhengtao Yu, Yu Liu, Joint Multi-View Embedding with Progressive Multi-Scale Alignment for Unaligned Infrared-Visible Image Fusion, Information Fusion, vol. 128, p. 103960, 2026. (Code)

21. Huafeng Li, Jiaqi Fang, Yafei Zhang, Yu Liu, Infrared-assisted single-stage framework for joint restoration and fusion of visible and infrared images under hazy conditions, Pattern Recognition, vol. 175, p. 113074, 2026. (Code)

22. Jiajie Li, Juan Cheng, Rencheng Song, Yu Liu, LST-rPPG: A Long-range Spatio-temporal Model for High-accuracy Heart Rate Variability Measurement, Expert Systems with Applications, vol. 298, p. 129526, 2026.

23. Xifeng Hu, Yankun Cao, Weifeng Hu, Shanshan Wang, Subhas Chandra Mukhopadhyay, Yu Liu, Huafeng Li, Yujun Li, Qing Cai, Zhi Liu, Expert knowledge-guided multi-granularity multi-scale fusion for weakly-supervised histological segmentation, Information Fusion, vol. 125, p. 103432, 2026.

24. Zeyu Xiao, Zhuoyuan Li, Yang Zhao, Yu Liu, Zhao Zhang, Wei Jia, Learning Dual Modality Interactions for Event-based Motion Deblurring, IEEE Transactions on Multimedia, vol. 28, pp. 3652-3666, 2026.

25. Yafei Zhang, Shuaitian Song, Huafeng Li, Shujuan Wang, Yu Liu, Adaptive Dynamic Dehazing via Instruction-Driven and Task-Feedback Closed-Loop Optimization for Diverse Downstream Task Adaptation, AAAI Conference on Artificial Intelligence (AAAI), pp. 12888-12896, 2026.

26. Yafei Zhang, Meng Ma, Huafeng Li, Yu Liu, Missing No More: Dictionary-Guided Cross-Modal Image Fusion under Missing Infrared, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 19549-19558, 2026.

27. Juan Cheng, Xiwen Luo, Xiaowei Wu, Rencheng Song, Yu Liu, Video-based Instantaneous Heart Rate Measurement with Enhanced Time-Frequency Representations, IEEE Transactions on Multimedia, vol. 28, pp. 1289-1301, 2026.

28. Bing Yang, Yuxuan Hu, Licheng Liu, Yu Liu, Jing Li, LSRNet: A Novel Interpretable Low-rank Sparse Representation Guided Fusion Network for Polarization and Intensity Images, IEEE Transactions on Image Processing, vol. 35, pp. 4961-4974, 2026.

29. Zhiqin Zhu, Hanchen Wang, Guanqiu Qi, Yuanyuan Li, Neal Mazur, Yu Liu, Huafeng Li, Baisen Cong, Litao Bai, A Survey on Lightweight Technology of Neural Networks for Medical Image Segmentation, Pattern Recognition, vol. 179, p. 113870, 2026.

30. Xiang Yan, Tianqi Shan, Hanlin Qin, Naveed Akhtar, Yu Liu, Hossein Rahmani, Ajmal Mian, Prompt-Guided Selective Frequency Network for Real-World Scene Text Image Super-Resolution, Pattern Recognition, vol. 175, p. 112974, 2026.

31. Keying Du, Yafei Zhang, Huafeng Li, Zhengtao Yu, Yu Liu, Cross-Modal Compensation and Dual Deformation Prediction Correction: Breaking Barriers in Unaligned Infrared-Visible Image Fusion, IEEE Transactions on Emerging Topics in Computational Intelligence, in press, 2026.

32. Jie Zhu, Zeyu Xiao, Jianlong Jin, Feng Xue, Yu Liu, Zhao Zhang, Wei Jia, Wiener-Deconvolution-Driven Event-Based Deblurring for Low-Light Imaging, IEEE Transactions on Circuits and Systems for Video Technology, in press, 2026.




2025:

33. Huafeng Li, Zengyi Yang, Yafei Zhang, Wei Jia, Zhengtao Yu, Yu Liu*, MulFS-CAP: Multimodal Fusion-supervised Cross-modality Alignment Perception for Unregistered Infrared-visible Image Fusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 47, pp. 3673-3690, 2025. (ESI Hot Paper, ESI Highly Cited Paper, Google Scholar Citations: 200) (Code)

34. Yu Shi, Yu Liu*, Juan Cheng, Z. Jane Wang, Xun Chen, VDMUFusion: A Versatile Diffusion Model-Based Unsupervised Framework for Image Fusion, IEEE Transactions on Image Processing, vol. 34, pp. 441-454, 2025. (ESI Highly Cited Paper, Google Scholar Citations: 100+) (Code)

35. Yu Liu, Yan Feng, Juan Cheng, Haolin Zhan, Zhiqin Zhu, MambaDiff: Mamba-Enhanced Diffusion Model for 3D Medical Image Segmentation, IEEE Transactions on Image Processing, vol. 34, pp. 5761-5775, 2025.

36. Zhiqin Zhu, Zimeng Zhang, Guanqiu Qi, Yuanyuan Li, Pan Yang, Yu Liu*, Probability Map-Guided Network for 3D Volumetric Medical Image Segmentation, IEEE Transactions on Image Processing, vol. 34, pp. 7222-7234, 2025.

37. Yu Shi, Yu Liu*, Juan Cheng, Huafeng Li, Xun Chen, Semantic-Guided Diffusion Sampling: A Generalized Strategy for Enhancing Object Segmentation Oriented Multimodal Image Fusion, IEEE Journal of Selected Topics in Signal Processing, vol. 19, pp. 1603-1616, 2025.

38. Kecheng Zheng, Juan Cheng, Yu Liu*, Unfolding coupled convolutional sparse representation for multi-focus image fusion, Information Fusion, vol. 118, p. 102974, 2025. (Code)

39. Zhiqin Zhu, Zhandong Wang, Guanqiu Qi, Yuanxiang Zhao, Yu Liu*, Visually Stabilized Mamba U-Shaped Network With Strong Inductive Bias for 3-D Brain Tumor Segmentation, IEEE Transactions on Instrumentation and Measurement, vol. 74, p. 2518511, 2025.

40. Dingyi Li, Yang Zhang, Yu Liu*, Lightweight Efficient Rate-Adaptive Network for Compression-Aware Image Rescaling, IEEE Signal Processing Letters, vol. 32, pp. 691-695, 2025. (Code)

41. Xinyue Hu, Yu Shi, Yu Liu*, Classification of Alzheimer's disease using multimodal brain imaging via DenseNet and Mamba, Journal of Image and Graphics, vol. 30, pp. 3230-3241, 2025. (in Chinese)

42. Xiaoshuai Hao, Guanqun Liu, Yuting Zhao, Yuheng Ji, Mengchuan Wei, Haimei Zhao, Lingdong Kong, Rong Yin*, Yu Liu*, MSC-Bench: Benchmarking and Analyzing Multi-Sensor Corruption for Driving Perception, IEEE International Conference on Multimedia & Expo (ICME), Nantes, France, Jun. 30–Jul. 4, 2025, pp. 1-6.

43. Zengyi Yang, Yafei Zhang, Huafeng Li, Yu Liu, Instruction-driven fusion of Infrared–visible images: Tailoring for diverse downstream tasks, Information Fusion, vol. 121, p. 103148, 2025. (ESI Highly Cited Paper, Google Scholar Citations: 60+) (Code)

44. Xiaoshuai Hao, Yunfeng Diao, Mengchuan Wei, Yifan Yang, Peng Hao, Rong Yin, Hui Zhang, Weiming Li, Shu Zhao, Yu Liu, MapFusion: A novel BEV feature fusion network for multi-modal map construction, Information Fusion, vol. 119, p. 103018, 2025.

45. Huafeng Li, Ming Yuan, Jinxing Li, Yu Liu, Guangming Lu, Yong Xu, Zhengtao Yu, David Zhang, Focus Affinity Perception and Super-Resolution Embedding for Multifocus Image Fusion, IEEE Transactions on Neural Networks and Learning Systems, vol. 25, pp. 4311-4325, 2025.

46. Dayong Su, Yafei Zhang, Huafeng Li, Jingxin Li, Yu Liu, UniFuse: A Unified All-in-One Framework for Multi-Modal Medical Image Fusion Under Diverse Degradations and Misalignments, IEEE/CVF International Conference on Computer Vision (ICCV), pp. 14238-14247, 2025.

47. Dasong Li, …, Yu Liu, et al., VQualA 2025 Challenge on Engagement Prediction for Short Videos: Methods and Results, IEEE/CVF International Conference on Computer Vision (ICCV) Workshop, pp. 3391-3401, 2025.




2024:

48. 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, pp. 5806-5819, 2024. (ESI Highly Cited Paper, Google Scholar Citations: 60+) (Code)

49. 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. (ESI Highly Cited Paper, Google Scholar Citations: 100+) (Code)

50. 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)

51. 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.

52. Dingyi Li, Yu Liu*, Zengfu Wang, Jian Yang, Video Rescaling with Recurrent Diffusion, IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, pp. 9386-9399, 2024.

53. 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, vol. 71, pp. 2728-2739, 2024.

54. 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. (ESI Hot Paper, ESI Highly Cited Paper, Google Scholar Citations: 200+)

55. 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, pp. 2024-2034, 2024. (in Chinese)

56. 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.

57. Wei Tang, Fazhi He, Yu Liu, ITFuse: An interactive transformer for infrared and visible image fusion, Pattern Recognition, vol. 156, p. 110822, 2024.

58. Ting Lv, Chuanming Ji, Hong Jiang, Yu Liu, HF2TNet: A Hierarchical Fusion Two-stage Training Network for Infrared and Visible Image Fusion, IEEE Signal Processing Letters, vol. 31, pp. 3164-3168, 2024.

59. 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, pp. 12806-12818, 2024.

60. 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, pp. 19428-19441, 2024.

61. Yuhang Chen, Yu Liu, Rabab K. Ward, Xun Chen, Multi-focus Image Fusion With Complex Sparse Representation, IEEE Sensors Journal, vol. 24, pp. 34744-34755, 2024.

62. 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.

63. Hongyu Zhao, Chang Li, Yu Liu, Juan Cheng, Rencheng Song, Xun Chen, EEG emotion recognition based on source-free domain adaptation, Chinese Journal of Biomedical Engineering, vol. 43, pp. 129-142, 2024. (in Chinese)

64. Meiyuan Luo, Chao Zhang, Yu Liu, An Efficient Lightweight Network for Breast Cancer Segmentation, 2nd International Conference on Machine Vision, Image Processing & Imaging Technology (MVIPIT), pp. 155-160, 2024.




2023:

65. 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, pp. 4934-4947, 2023. (ESI Hot Paper, ESI Highly Cited Paper, Google Scholar Citations: 200+) (Code)

66. 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, Google Scholar Citations: 600+)

67. 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, pp. 1319-1330, 2023.

68. 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)

69. 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, pp. 248-259, 2023. (in Chinese)

70. 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, pp. 80-101, 2023. (in Chinese)

71. 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.

72. 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 Hot Paper, ESI Highly Cited Paper, Google Scholar Citations: 500+)

73. 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, pp. 3159-3172, 2023. (ESI Hot Paper, ESI Highly Cited Paper, Google Scholar Citations: 600+)

74. 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. (ESI Highly Cited Paper, Google Scholar Citations: 100+)

75. 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.

76. 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.

77. 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.

78. 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, pp. 9796-9807, 2023.

79. 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, pp. 957-968, 2023. (ESI Highly Cited Paper, Google Scholar Citations: 100+)

80. 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, pp. 382-393, 2023. (ESI Hot Paper, ESI Highly Cited Paper, Google Scholar Citations: 600+)

81. 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, pp. 6016-6025, 2023. (ESI Highly Cited Paper, Google Scholar Citations: 100+)

82. 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.

83. Juan Cheng, Mengying Wu, Rencheng Song, Yu Liu, Xun Chen, Motion-robust heart rate measurement from videos via combining model with blind source separation, Chinese Journal of Scientific Instrument, vol. 44, pp. 289-298, 2023. (in Chinese)




2022:

84. 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)

85. 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.

86. 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, pp. 1528-1531, 2022. (Code)

87. 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)

88. 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)

89. 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.

90. 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, pp. 2082-2091, 2022. (in Chinese)

91. 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, pp. 513-526, 2022. (in Chinese)

92. 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, Google Scholar Citations: 500+)

93. 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.

94. 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, pp. 19608-19619, 2022.

95. 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, p. 7001604, 2022.

96. 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, p. 140405, 2022.

97. 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.




2021:

98. 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)

99. 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)

100. 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. (ESI Highly Cited Paper, Google Scholar Citations: 200+) (Code)

101. 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.

102. 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)

103. 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.

104. 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, Google Scholar Citations: 200+)

105. 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.

106. 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.

107. 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.




2020 and earlier:

108. 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, Google Scholar Citations: 400+) (A Benchmark for MFIF)

109. 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)

110. 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.

111. 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.

112. 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.

113. 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, Google Scholar Citations: 1800+) (Code)

114. 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, Google Scholar Citations: 100+)

115. 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.

116. 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, Google Scholar Citations: 600+) (Code)

117. 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, Google Scholar Citations: 300+) (Code)

118. 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.

119. 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.

120. 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, Google Scholar Citations: 3100+)

121. 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.

122. 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.

123. Yu Liu, Xun Chen, Zengfu Wang, Z. Jane Wang, Rabab Ward, 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, Google Scholar Citations: 800+)

124. 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, Google Scholar Citations: 500+) (Code)

125. 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.

126. 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.

127. 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, Google Scholar Citations: 1500+) (Code)

128. 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. (InCites Top 1%, Google Scholar Citations: 500+) (Code)

129. 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.

130. 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, Google Scholar Citations: 1100+) (Code)

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

132. 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)

133. 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, Google Scholar Citations: 1600+) (MST-SR-Fusion-Toolbox)

134. 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, Google Scholar Citations: 400+) (Code)

135. 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, Google Scholar Citations: 500+) (Code)

136. 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.

137. 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)

138. 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.

139. 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)

140. 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)

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

142. 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), Changsha, China, Nov. 17-19, 2014, pp. 321-330.

143. 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)

144. 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.

145. 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.