Rencheng Song
Portrait of Rencheng Song

Rencheng Song 宋仁成

Professor
School of Instrument Science and Opto-electronics Engineering
Hefei University of Technology
Room 613, Keji Building
Hefei University of Technology
No. 193 Tunxi Road, Hefei, Anhui 230009, China
Email: rcsong@hfut.edu.cn

News

Biography

I am a Professor at the School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology. I received my B.S. degree from Jilin University, Changchun, China, in 2005, and my Ph.D. degree from Zhejiang University, Hangzhou, China in 2010, both in computational mathematics. From 2010 to 2012, I was a Research Fellow in Prof. Xudong Chen's group at the National University of Singapore. From 2013 to 2017, I was a Principal Scientist with the Sensor Physics group at Halliburton, Singapore. Since May 2017, I have been with Hefei University of Technology.

In recent years I have been the principal investigator for research projects including the National Natural Science Foundation of China, the Anhui Province Key Research and Development Program, and the Anhui Provincial Natural Science Foundation. I have published over 100 SCI papers, more than 40 as first or corresponding author, of which 4 are ESI highly cited papers. I hold 22 granted Chinese patents and 15 granted U.S. patents. I am an IEEE Senior Member, a communication reviewer for the NSFC, and a reviewer for over 30 international journals including IEEE TAP, IEEE MTT, IEEE TGRS, IEEE JBHI, IEEE TIM and Pattern Recognition.

I am looking for self-motivated master students interested in non-contact intelligent sensing, physics-driven deep learning, or biomedical measurement. Interested candidates are welcome to email me a resume.

Research areas

My research focuses on non-contact intelligent sensing and intelligent signal processing, with an emphasis on vision-based sensing, electromagnetic sensing, multimodal fusion, and physics-driven deep learning. By exploiting the complementary characteristics of visual and electromagnetic modalities, I investigate the non-contact sensing of both the apparent and the intrinsic properties of a target. My work centres on two fundamental challenges — response modelling and robust perception in complex environments — following a problem-driven paradigm that connects theoretical innovation, methodological development and real-world application.

42 papers

Vision-based Intelligent Sensing

Non-contact perception of physiological, behavioural and psychological states from visual information.

43 papers

Electromagnetic Intelligent Sensing

Response modelling, computational imaging and inverse scattering for intrinsic target properties.

31 papers

Multimodal Fusion & Physics-driven Sensing

Multimodal fusion and physics-guided learning for robust, reliable, interpretable sensing.

Selected publications

  1. 2023
    Source-Free Domain Adaptation for Privacy-Preserving Seizure Prediction
    Zhao, Y., S. Feng, C. Li, R. Song, D. Liang, and X. Chen
    IEEE Transactions on Industrial Informatics
    Multimodal & physics-driven 45 citations
  2. 2023
    Motion-Robust Respiratory Rate Estimation from Camera Videos via Fusing Pixel Movement and Pixel Intensity Information
    Cheng, J., R. Liu, J. Li, R. Song, Y. Liu, and X. Chen
    IEEE Transactions on Instrumentation and Measurement
    Vision sensing 39 citations
  3. 2023
    Push the Generalization Limitation of Learning Approaches by Multi-Domain Weight-Sharing for Full-Wave Inverse Scattering
    Wang, Y., Z. Zong, S. He, R. Song, and Z. Wei
    IEEE Transactions on Geoscience and Remote Sensing
    EM sensing 20 citations
  4. 2023
    Uncertainty quantification for deep learning-based remote photoplethysmography
    Song, R., H. Wang, H. Xia, J. Cheng, C. Li, and X. Chen
    IEEE Transactions on Instrumentation and Measurement
    Vision sensing 19 citations
  5. 2023
    Physically Unrolling Network under Contraction Integral Equation for Limited-Aperture Inverse Scattering Problem
    Xu, K., Z. Qian, R. Song, X. Ye, N. Xu, X.-M. Pan, P. Zhao, S. Chen, G. Wang, and W. Li
    IEEE Transactions on Antennas and Propagation
    EM sensing 18 citations
  6. 2023
    Non-contact blood pressure estimation using BP-related cardiovascular knowledge: an uncalibrated method based on consumer-level camera
    Han, X., X. Yang, S. Fang, R. Song, L. Li, and J. Zhang
    IEEE Transactions on Instrumentation and Measurement
    Vision sensing 17 citations
  7. 2022
    Patient-specific seizure prediction via adder network and supervised contrastive learning
    Zhao, Y., C. Li, X. Liu, R. Qian, R. Song, and X. Chen
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30: p. 1536-1547
    Multimodal & physics-driven 105 citations
  8. 2022
    SOM-net: Unrolling the subspace-based optimization for solving full-wave inverse scattering problems
    Liu, Y., H. Zhao, R. Song, X. Chen, C. Li, and X. Chen
    IEEE Transactions on Geoscience and Remote Sensing, 60: p. 1-15
    EM sensing 73 citations
  9. 2022
    EEG-based seizure prediction via model uncertainty learning
    Li, C., Z. Deng, R. Song, X. Liu, R. Qian, and X. Chen
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31: p. 180-191
    Multimodal & physics-driven 68 citations
  10. 2022
    Patient-specific seizure prediction from electroencephalogram signal via multi-channel feedback capsule network
    Li, C., Y. Zhao, R. Song, X. Liu, R. Qian, and X. Chen
    IEEE Transactions on Cognitive and Developmental Systems
    Multimodal & physics-driven 50 citations
  11. 2022
    Application of generative adversarial network-based inversion algorithm in imaging 2-D lossy biaxial anisotropic scatterer
    Ye, X., N. Du, D. Yang, X. Yuan, R. Song, S. Sun, and D. Fang
    IEEE Transactions on Antennas and Propagation, 70(9): p. 8262-8275
    EM sensing 32 citations
  12. 2022
    Learning-based inversion method for solving electromagnetic inverse scattering with mixed boundary conditions
    Song, R., Y. Huang, X. Ye, K. Xu, C. Li, and X. Chen
    IEEE Transactions on Antennas and Propagation, 70(8): p. 6218-6228
    EM sensing 22 citations
  13. 2022
    VideoCAD: an uncertainty-driven neural network for coronary artery disease screening from facial videos
    Liu, X., X. Yang, R. Song, J. Zhang, and L. Li
    IEEE Transactions on Instrumentation and Measurement, 72: p. 1-12
    Vision sensing 18 citations
  14. 2022
    Electromagnetic Inverse Scattering With an Untrained SOM-Net
    Song, R., M. Li, K. Xu, C. Li, and X. Chen
    IEEE Transactions on Microwave Theory and Techniques, 70(11): p. 4980-4990
    EM sensing 16 citations
  15. 2021
    EEG-based emotion recognition via neural architecture search
    Li, C., Z. Zhang, R. Song, J. Cheng, Y. Liu, and X. Chen
    IEEE Transactions on Affective Computing
    Multimodal & physics-driven 100 citations
  16. 2021
    Electromagnetic inverse scattering with perceptual generative adversarial networks
    Song, R., Y. Huang, K. Xu, X. Ye, C. Li, and X. Chen
    IEEE Transactions on Computational Imaging, 7: p. 689-699
    EM sensing 66 citations
  17. 2021
    Fast full-wave electromagnetic inverse scattering based on scalable cascaded convolutional neural networks
    Xu, K., C. Zhang, X. Ye, and R. Song
    IEEE Transactions on Geoscience and Remote Sensing, 60: p. 1-11
    EM sensing 41 citations
  18. 2020
    EEG-based emotion recognition via channel-wise attention and self attention
    Tao, W., C. Li, R. Song, J. Cheng, Y. Liu, F. Wan, and X. Chen
    IEEE Transactions on Affective Computing
    Multimodal & physics-driven 694 citations
  19. 2020
    Heart rate estimation from facial videos using a spatiotemporal representation with convolutional neural networks
    Song, R., S. Zhang, C. Li, Y. Zhang, J. Cheng, and X. Chen
    IEEE Transactions on Instrumentation and Measurement, 69(10): p. 7411-7421
    Vision sensing 163 citations
  20. 2020
    Learning-based fast electromagnetic scattering solver through generative adversarial network
    Ma, Z., K. Xu, R. Song, C.-F. Wang, and X. Chen
    IEEE Transactions on Antennas and Propagation, 69(4): p. 2194-2208
    EM sensing 133 citations
  21. 2020
    An inhomogeneous background imaging method based on generative adversarial network
    Ye, X., Y. Bai, R. Song, K. Xu, and J. An
    IEEE Transactions on Microwave Theory and Techniques, 68(11): p. 4684-4693
    EM sensing 76 citationscheck
  22. 2020
    Remote heart rate measurement from near-infrared videos based on joint blind source separation with delay-coordinate transformation
    Cheng, J., P. Wang, R. Song, Y. Liu, C. Li, Y. Liu, and X. Chen
    IEEE Transactions on Instrumentation and Measurement, 70: p. 1-13
    Vision sensing 31 citations
  23. 2020
    Motion robust imaging ballistocardiography through a two-step canonical correlation analysis
    Song, R., J. Li, J. Cheng, C. Li, Y. Liu, and X. Chen
    IEEE Transactions on Instrumentation and Measurement, 70: p. 1-10
    Vision sensing 12 citations
  24. 2018
    Video-based heart rate measurement: Recent advances and future prospects
    Chen, X., J. Cheng, R. Song, Y. Liu, R. Ward, and Z.J. Wang
    IEEE Transactions on Instrumentation and Measurement, 68(10): p. 3600-3615
    Vision sensing 271 citations
  25. 2014
    Multiplicative-Regularized FFT Twofold Subspace-Based Optimization Method for Inverse Scattering Problems
    Xu, K., Y. Zhong, R. Song, X. Chen, and L. Ran
    IEEE Transactions on Geoscience and Remote Sensing, (99): p. 1-10
    EM sensing 68 citations
  26. 2013
    Simultaneous reconstruction of dielectric and perfectly conducting scatterers via T-matrix method
    Ye, X., X. Chen, Y. Zhong, and R. Song
    IEEE Transactions on Antennas and Propagation, (99): p. 1-1
    EM sensing 21 citations

All 116 publications →

Datasets & Codes

All datasets & codes →

Grants

Patents · 15 granted (US)

All patents →

Teaching