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Research Papers

Soft robot perception

Hu, D., Giorgio-Serchi, F., Zhang, S., & Yang, Y. (2023). Stretchable e-skin and transformer enable high-resolution morphological reconstruction for soft robots. Nature machine intelligence, 5(3), 261-272.

Digital twin

Wang, S., Hu, D., Zhang, M., Qiu Lin, J., Chen, W., Giorgio-Serchi, F., ... & Yang, Y. (2022). A digital twin of electrical tomography for quantitative multiphase flow imaging. Communications Engineering, 1(1), 41.

FEATURED PAPER

Medical Imaging

Xiang, J., Dong, Y., & Yang, Y. (2021). FISTA-Net: Learning a fast iterative shrinkage thresholding network for inverse problems in imaging. IEEE Transactions on Medical Imaging, 40(5), 1329-1339.

Machine Learning

Chen, Z., Xiang, J., Bagnaninchi, P. O., & Yang, Y. (2022). MMV-net: A multiple measurement vector network for multifrequency electrical impedance tomography. IEEE Transactions on Neural Networks and Learning Systems, 34(11), 8938-8949.

Journal Paper

2024

  1. Fang, H., Liu, Z., Feng, Y., Qiu, Z., Bagnaninchi, P., & Yang, Y.# (2024). Multi-frequency Electrical Impedance Tomography Reconstruction with Multi-Branch Attention Image Prior. Under review.

  2. Peng, L.#, Yang, Y.#, Li, Y., Zhang, M., Wang, H., Yang, W. (2024). Deep Learning-Based Image Reconstruction for Electrical Capacitance Tomography. (Review paper) Under review.

  3. Dong, H., Wu, X., Giorgio-Serchi, F., Yang, Y.# (2024). Data Augmentation for Learning-based Tactile Sensing with Electrical Impedance Tomography. Under review.

  4. Hu, D., Dong, H., Giorgio-Serchi, F., Yang, Y.# (2024). A self-supervised learning framework for soft robot proprioception. Under review.

  5. Dong, H., Wu, X., Giorgio-Serchi, F., Yang, Y.# (2024). Learning-enhanced electronic skin fordeformable tactile sensing based on electrical impedance tomography. Under review.

  6. Liu, R. B., Liu, Z., Wolf, M. G., Purohit, K. P., Fritz, G., Feng, Y., ... & Yang, Y.# (2024). Generative deep learning-enabled ultra-large field-of-view lens-free imaging. arXiv preprint arXiv:2403.07786, under review at Science Advances.

  7. Hu, D., Dong, H., Liu, Z., Chen, Z., Giorgio-Serchi, F., & Yang, Y.# (2024). Touch and deformation perception of soft manipulators with capacitive e-skins and deep learning. IEEE Sensors Journal, Accepted/In press.

  8. Wang, S., Li, Y., Chen, Z., Kong, M., & Yang, Y.# (2024). Digital twin-assisted three-dimensional electrical capacitance tomography for multiphase flow imaging. IEEE Transactions on Instrumentation and Measurement, 73, 4507612.

  9. Hu, J., Qin, Y., Li, N., Wang, L., Jia, J., & Yang, Y. (2024). A sensitivity map deformation method for image quality improvement of Ultrasonic Tomography. IEEE Sensors Journal, 24(8), 12632-12641.

  10. Chen, Z., Zhang, H., Hu, D., Tan, C., Liu, Z., & Yang, Y.# (2024). Point-Cloud Transformer for 3-D Electrical Impedance Tomography. IEEE Transactions on Instrumentation and Measurement, 73, 4506509.​

2023

  1. Hu, D., Giorgio-Serchi, F., Zhang, S., & Yang, Y.# (2023). Stretchable e-skin and transformer enable high-resolution morphological reconstruction for soft robots. Nature Machine Intelligence, 5(3), 261-272. (Featured in news and interviews: BBC Click (Medical Marvels), EFE, STV, USA Today, Telegraph, IET, etc.) (ESI highly cited paper)

  2. Liu, Z., Gu, H., Chen, Z., Bagnaninchi, P., & Yang, Y.# (2023). Dual-modal Image Reconstruction for Electrical Impedance Tomography with Overlapping Group Lasso and Laplacian Regularization. IEEE Transactions on Biomedical Engineering, 70(8), 2362-2373.

  3. Tao, W., Kang, Y., Li, N., Chai, H. K., & Yang, Y. (2023). Co-Surface Three-Electrode Capacitive Sensoring Method for Prestressed Tendon Positioning in Grouted Duct. IEEE Transactions on Instrumentation and Measurement, 72, 9508910.

  4. Zhang, H., Mu, J., Yang, Y., & Li, N. (2023). A Positive Data Extraction Method for Electrical Impedance Tomography (EIT) Based on the Novel MSA-Net. IEEE Sensors Journal, 23(14), 15753-15761.

  5. Hu, D., Li, H., Giorgio-Serchi, F., & Yang, Y.# (2023). Coupling field simulation of soft capacitive sensors towards soft robot perception. IEEE Sensors Journal, 23(10), 10588-10596.

  6. Liu, Z., Chen, Z., & Yang, Y.# (2023). Review of Machine Learning for Bioimpedance Tomography in Regenerative Medicine. In Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems (pp. 271-292). IGI Global. (Review Paper)

  7. Dong, Y., He, G., Arslan, T., Yang, Y., & Ma, Y. (2023). Crowdsourced Indoor Positioning with Scalable WiFi Augmentation. Sensors, 23(8), 4095. (Editor’s Choice)

2022

  1. Wang, S., Hu, D., Zhang, M., Qiu Lin, J., Chen, W., Giorgio-Serchi, F., ... & Yang, Y.# (2022). A digital twin of electrical tomography for quantitative multiphase flow imaging. Communications Engineering, 1(1), 41. (The first digital twin framework for electrical tomography)

  2. Wang, S. N., Giorgio-Serchi, F., & Yang, Y.# (2022). A virtual platform of electrical tomography for multiphase flow imaging. Physics of Fluids, 34(10), 107104.

  3. Dong, Y., Shi, D., Arslan, T., & Yang, Y. (2022). Error Investigation on Wi-Fi RTT in Commercial Consumer Devices. Algorithms, 15(12), 464.

  4. Liu, Z., Zhao, R., Anderson, G., Bagnaninchi, P., & Yang, Y.# (2022). Enhanced multi-scale feature cross-fusion network for impedance-optical dual-modal imaging. IEEE Sensors Journal, 23(5), 4455-4465.

  5. Chen, Z., Xiang, J., Bagnaninchi, P. O., & Yang, Y.# (2022). MMV-Net: A Multiple Measurement Vector Network for Multifrequency Electrical Impedance Tomography. IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2022.3154108. (ESI highly cited paper)

  6. Liu, Z., Bagnaninchi, P. O., & Yang, Y.# (2022). Impedance-optical Dual-modal Cell Culture Imaging with Learning-based Information Fusion. IEEE Transactions on Medical Imaging, 41(4), 983-996.

  7. Dong, Y., Arslan, T., & Yang, Y.# (2022). Magnetic Disturbance Detection for Smartphone-Based Indoor Positioning Systems With Unsupervised Learning. IEEE Transactions on Instrumentation and Measurement, 71, 2506411.

  8. Chen, Y., Liu, C., Yang, Y., Lucquiaud, M., & Jia, J. (2022). Flooding Prognostic in Packed Columns based on Electrical Capacitance Tomography and Convolutional Neural Network. IEEE Transactions on Instrumentation and Measurement, 71, 4504214.

  9. Wang, H., Hu, D., Zhang, M., Li, N., & Yang, Y.# (2022). Multiphase flowrate measurement with multi-modal sensors and temporal convolutional network. IEEE Sensors Journal, 23(5), 4508-4517.

  10. Wang, H., Hu, D., Zhang, M., & Yang, Y.# (2022). Multiphase flowrate measurement with time series sensing data and sequential model. International Journal of Multiphase Flow, 146, 103875.

  11. Liu, Z., & Yang, Y.# (2022). Multi-modal Image Reconstruction of Electrical Impedance Tomography Using Kernel Method. IEEE Transactions on Instrumentation and Measurement, 71, 1-12, 5002012.

  12. Chen, Z., Liu, Z., Ai, L., Zhang, S., & Yang, Y.# (2022). Mask-guided Spatial-Temporal Graph Neural Network for Multi-frequency Electrical Impedance Tomography. IEEE Transactions on Instrumentation and Measurement, 71, 1-10.

2021

  1. Xiang, J., Dong, Y., & Yang, Y.# (2021). FISTA-Net: Learning A Fast Iterative Shrinkage Thresholding Network for Inverse Problems in Imaging. IEEE Transactions on Medical Imaging. 40(5), 1329-1339. (TMI Popular Paper of May 2021) (ESI Highly Cited Paper)

  2. Chen, Z., Yang, Y.# (2021). Structure-aware Dual-branch Network for Electrical Impedance Tomography in Cell Culture Imaging. IEEE Transactions on Instrumentation and Measurement, 70, 1-9.

  3. Zhu, L., Ma, L., Li, Y., Yang, Y., & Zhang, M. (2021). Linearization Point and Frequency Selection for Complex-Valued Electrical Capacitance Tomography. IEEE Transactions on Instrumentation and Measurement, 70, 1-11.

  4. Liu, Z., Yang, Y.# (2021). Image Reconstruction of Electrical Impedance Tomography Based on Optical Image-Guided Group Sparsity. IEEE Sensors Journal, 21(19), 21893-21902.

  5. Wang, S., Ye, J., Yang, Y.# (2021). Quantitative Measurement of Two-phase Flow by Electrical Capacitance Tomography Based on 3D Coupling Field Simulation. IEEE Sensors Journal, 21(18), 20136-20144.

  6. Dong, Y., Arslan, T., & Yang, Y.# (2021). Real-time NLOS/LOS Identification for Smartphone-based Indoor Positioning Systems using WiFi RTT and RSS. IEEE Sensors Journal, 22(6), 5199-5209.

  7. Tan, C., Li, F., Lv, S., Yang, Y., & Dong, F. (2021). Gas-Liquid Two-phase Stratified Flow Interface Reconstruction with Sparse Batch Normalization Convolutional Neural Network. IEEE Sensors Journal, 21(15), 17076-17084.

  8. Li, Z., Chen, Y., Yang, Y., Liu, C., Lucquiaud, M., & Jia, J. (2021). Flow regime transition in countercurrent packed column monitored by ECT. Chemical Engineering Journal, 420, 129841.

  9. Yang, L., Wu, H., Liu, K., Chen, B., Yang, Y., Zhu, C., & Yao, J. (2021). An Image Reconstruction Algorithm for Electrical Impedance Tomography using Measurement Estimation of Virtual Electrodes. IEEE Sensors Journal, 22(13), 13012-13022.

2020

  1. Xiang, J., Dong, Y., & Yang, Y.# (2020). Multi-frequency Electromagnetic Tomography for Acute Stroke Detection Using Frequency-Constrained Sparse Bayesian Learning. IEEE Transactions on Medical Imaging, 39(12), 4102-4112.

  2. Chen, Z., Yang, Y.#, & Bagnaninchi, P. O. (2020). Hybrid Learning-Based Cell Aggregate Imaging With Miniature Electrical Impedance Tomography. IEEE Transactions on Instrumentation and Measurement, 70, 1-10.

  3. Zhang, M., Zhu, L., Wang, H., Li, Y., Soleimani, M., & Yang, Y.# (2020). Multiple Measurement Vector Based Complex-Valued Multi-Frequency ECT. IEEE Transactions on Instrumentation and Measurement, 70, 5005410.

  4. Wang, H., Zhang, M., & Yang, Y.# (2020). Machine learning for multiphase flowrate estimation with time series sensing data. Measurement: Sensors, 10, 100025.

  5. Li, N., Wang, L., Jia, J. & Yang, Y.# (2020). A Novel Method for the Image Quality Improvement of Ultrasonic Tomography. IEEE Transactions on Instrumentation and Measurement, 70, 1-10.

2019

  1. Li, N., Cao, M., Xiao, J., Jia, J., Yang, Y.# (2019). High Sensitive Capacitive Sensing Method for Thickness Detection of the Water Film on an Insulation Surface. IEEE Access, 7, 96384-96391.

  2. Yang, Y.#, Wu, H., Bagnaninchi, P., Jia, J. (2019). Scaffold-based 3-D cell culture imaging using a miniature EIT sensor. IEEE Sensors Journal, 19(20), 9071-9080.

  3. Wu, H., Yang, Y.#, Bagnaninchi, P., Jia, J. (2019). Calibrated frequency-difference electrical impedance tomography for 3D tissue culture monitoring. IEEE Sensors Journal, 19(18), 7813-7821.

  4. Fisher, E., Stylianos, T., Yang, Y., Chighine A., Liu, C., Polydorides. N, Wright, P., Johnstone, W. McCann, H. (2019). A Custom, High-Channel-Count Data Acquisition System for Chemical Species Tomography of Aero-Jet Engine Exhaust Plumes. IEEE Transactions on Instrumentation and Measurement, 69(2), 549-558.

  5. Liu, S., Wu, H., Huang, Y., Yang, Y., Jia, J. (2019). Accelerated Structure-Aware Sparse Bayesian Learning for 3D Electrical Impedance Tomography. IEEE Transactions on Industrial Informatics, 15(9), 5033-5041.

2018

  1. Wang, H., Jia, J., Yang, Y., Buschle, B., Lucquiaud, M. (2018). Quantification of Gas Distribution and Void Fraction in Packed Bubble Column Using Electrical Resistance Tomography. IEEE Sensors Journal, 18(21), 8963-8970.

  2. Wu, H., Yang, Y.#, Bagnaninchi, P., Jia, J. (2018). Electrical Impedance Tomography for real-time and label free cellular viability assays of 3D tumour spheroids. Analyst, 143(17), 4189-4198.

  3. Wu, H., Buschle, B., Yang, Y., Tan, C., Dong, F., Jia, J., Lucquiaud, M. (2018). Liquid distribution and hold-up measurement in counter current flow packed column by electrical capacitance tomography. Chemical Engineering Journal, 353, 519-532.

  4. Wu, H., Zhou, W., Yang, Y., Jia, J., Bagnaninchi, P. (2018). Exploring the Potential of Electrical Impedance Tomography for Tissue Engineering Applications. Materials, 11(6).

  5. Liu, S., Jia, J., Zhang, Y. D., Yang, Y.# (2018). Image Reconstruction in Electrical Impedance Tomography Based on Structure-Aware Sparse Bayesian Learning. IEEE Transactions on Medical Imaging, 37(9), 2090-2102.

  6. Yin, X., Wu, H., Jia, J., Yang, Y.# (2018). A Micro EIT Sensor for Real-time and Non-destructive 3-D Cultivated Cell Imaging. IEEE Sensors Journal, 18(13), 5402-5412.

2017

  1. Yang, Y., Jia, J. (2017). An Image Reconstruction Algorithm for Electrical Impedance Tomography Using Adaptive Group Sparsity Constraint. IEEE Transactions on Instrumentation and Measurement, 66(9), 2295-2305.

  2. Yang, Y., Jia, J., Smith, S., Jamil, N., Gamal, W., Bagnaninchi, P. O. (2017). A Miniature Electrical Impedance Tomography Sensor and 3-D Image Reconstruction for Cell Imaging. IEEE Sensors Journal, 17(2), 514-523.

  3. Yang, Y., Wu, H., Jia, J. (2017). Image Reconstruction for Electrical Impedance Tomography Using Enhanced Adaptive Group Sparsity with Total Variation. IEEE Sensors Journal, 17(17), 5589-5598.

  4. Yang, Y., Jia, J. (2017). A Multi-frequency Electrical Impedance Tomography System for Real-time 2D and 3D Imaging. Review of Scientific Instruments, 88, 085110.

  5. Yang, Y., Peng, L., Jia, J. (2017). A novel multi-electrode sensing strategy for electrical capacitance tomography with ultra-low dynamic range. Flow Measurement and Instrumentation, 53, 67-79.

  6. Wang, H., Yang, Y. #, Jia, J., Jin, O. (2017). Solid Particles’ Composition Using Electrical Capacitance Tomography. IEEE Access, 5, 15875-15882.

Before 2017

  1. Yang, Y. , Peng, L. (2013). Data pattern with ECT sensor and its impact on image reconstruction. IEEE Sensors Journal, 13(5), 1582-1593. (Cover Story)

  2. Yang, Y., Peng, L. (2013). A configurable electrical capacitance tomography system using a combining electrode strategy. Measurement Science and Technology, 24(7), 074005.

  3. Su, Y., Cui, H., Yang, Y., Wang, J., Huang, W. (2011). Design and Simulation of Parallel Optical Data Storage System. Opto-Electronic Engineering, 38(6), 59-65.

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