近期论文
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部分期刊论文：
[J1] Liu, S., Huang, Y., Wu, H., Tan, C., Jia, J., ‘Efficient multi-task structure-aware sparse Bayesian learning for frequency-difference electrical impedance tomography’, IEEE Transactions on Industrial Informatics, vol. 16, no. 10, in press, (DOI: 10.1109/TII.2020.2965202), Oct. 2020.
[J2] Liu, S., Cao, R., Huang, Y., Ouypornkochagorn, T., Jia, J., ‘Time Sequence Learning for Electrical Impedance Tomography Using Bayesian Spatiotemporal Priors’, IEEE Transactions on Instrumentation and Measurement, vol. 69, in press, (DOI: 10.1109/TIM.2020.2972172), 2020.
[J3] Liu, S., Wu, H., Huang, Y., Yang, Y., and Jia, J., ‘Accelerated structure-aware sparse Bayesian learning for three-dimensional electrical impedance tomography’, IEEE Transactions on Industrial Informatics, vol. 15, no. 9, pp. 5033–5041, Sept. 2019.
[J4] Liu, S., Ma, Y., and Huang, Y., ‘Sea clutter cancellation for passive radar sensor exploiting multi-channel adaptive filters’, IEEE Sensors Journal, vol. 19, no. 3, pp. 982–995, Feb. 2019.
[J5] Liu, S., Jia, J., Zhang, Y.D., and Yang, Y., ‘Image reconstruction in electrical impedance tomography based on structure-aware sparse Bayesian learning’, IEEE Transactions on Medical Imaging, vol. 37, no. 9, pp. 2090–2102, Sept. 2018.
[J6] Liu, S., Zhang, Y.D., Shan, T., and Tao, R., ‘Structure-aware Bayesian compressive sensing for frequency-hopping spectrum estimation with missing observations’, IEEE Transactions on Signal Processing, vol. 66, no. 8, pp. 2153–2166, Apr. 2018.
[J7] Liu, S., Shan, T., Tao, R., Zhang, Y.D., Zhang, G., Zhang, F., and Wang, Y., ‘Sparse discrete fractional Fourier transform and its applications’, IEEE Transactions on Signal Processing, vol. 62, no. 24, pp. 6582–6595, Dec. 2014.
[J8] Liu, S., Zhang, Y.D., and Shan, T., ‘Detection of weak astronomical signals with frequency-hopping interference suppression’, Digital Signal Processing, vol. 72, pp. 1–8, Jan. 2018.
[J9] Shan, T., Liu, S., Zhang, Y.D., Amin, M.G., Tao, R., and Feng, Y., ‘Efficient architecture and hardware implementation of coherent integration processor for digital video broadcast-based passive bistatic radar’, IET Radar Sonar and Navigation, vol. 10, no. 1, pp. 97–106, Jan. 2016.
[J10] Shan, T., Liu, S., Tao, R., and Zhang, G., ‘Experiment demonstration of micro-Doppler detection of rotor blades with passive coherent location based on digital video broadcast’, Journal of Communications Technology and Electronics, Springer, vol. 59, no. 11, pp. 1215–1224, Nov. 2014.
[J11] Liu, S., Shan, T., Tao, R., and Wang, Y., ‘Liveness evaluation of multi-living agent system’, Journal of Systems Engineering and Electronics, vol. 24, no. 3, pp. 435–444, June 2013.
[J12]Pang, C., Liu, S., and Han, Y., ‘Coherent detection algorithm for radar maneuvering targets based on discrete polynomial-phase transform’, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 9, pp. 3412–3422, Sept. 2019.
[J13]Pang, C., Liu, S., and Han, Y., ‘High-speed target detection algorithm based on sparse Fourier transform’, IEEE Access, vol. 6, pp. 37828–37836, July 2018.
部分会议论文：
[C1] Liu, S., Ma, Y., and Shan, T., ‘Segmented discrete polynomial-phase transform with coprime sampling’, Presented at the 2018 IET International Radar Conference (IRC), art. no. C0073, Nanjing, China, October 17–19, 2018.
[C2] Liu, S., Jia, J., and Yang, Y., ‘Image reconstruction algorithm for electrical impedance tomography based on block sparse Bayesian learning’, Presented at the 2017 IEEE International Conference on Imaging Systems and Techniques (IST 2017), pp. 267–271, Beijing, China, October 18–20, 2017.
[C3] Liu, S., Zhang Y.D., and Shan, T., ‘Sparsity-based frequency-hopping spectrum estimation with missing samples’, Presented at the 2016 IEEE Radar Conference, pp. 1043–1047, Philadelphia, PA, USA, May 2–6, 2016.
[C4] Liu, S., Zhang Y.D., Shan, T., Qin, S., and Amin, M.G., ‘Structure-aware Bayesian compressive sensing for frequency-hopping spectrum estimation’, Presented at the 2016 SPIE Defense + Commercial Sensing, art. no. 98570N, Baltimore, MD, USA, April 17–21, 2016.
[C5] Liu, S., Zeng, Z., Zhang Y.D., Fan, T., Shan, T., and Tao, R., ‘Automatic human fall detection in fractional Fourier domain for assisted living’, Presented at the 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), pp. 799–803, Shanghai, China, March 20–25, 2016.
[C6] Liu, S., Shan, T., Zhang Y.D., Tao, R., and Feng, Y., ‘A fast algorithm for multi-component LFM signal analysis exploiting segmented DPT and SDFrFT’, Presented at the IEEE International Radar Conference, pp. 1139–1143, Arlington, VA, USA, May 11–15, 2015.
[C7] Liu, S., and Jia, J., ‘Sequential EIT frame reconstruction exploiting spatiotemporal correlation’, Presented at the 19th International Conference on Biomedical Applications of Electrical Impedance Tomography (EIT), p. 44, Edinburgh, UK, June 11–13, 2018.
[C8] Liu, S., and Jia, J., ‘EIT velocity field estimation via pixel-to-pixel least-squares matching’, Presented at the ISIPT 9th World Congress on Industrial Process Tomography (WCIPT), Bath, UK, art. no. P002, September 2–6, 2018.
[C9] Zheng, C., Liu, S., Huang, Y., and Yang, L., ‘MEC-enabled wireless VR video service: A learning-based mixed strategy for energy-latency tradeoff’, Accepted by the 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, South Korea, April 6–9, 2020.
[C10] Ma, Y., Liu, S., and Lu, J., ‘A multi-channel partial-update algorithm for sea clutter suppression in passive bistatic radar’, Presented at the 2018 IEEE Sensor Array and Multichannel Signal Processing (SAM) Workshop, pp. 252–256, Sheffield, UK, July 8–11, 2018.
[C11] Ren, D., Chen, K., Liu, S., and Huang, Y., ‘FPGA prototyping of a China millimeter-wave multiple gigabit WLAN system’, Accepted by the 2019 IEEE International Workshop on Signal Processing Systems (SiPS), art. no. 6, Nanjing, China, October 20–23, 2019.
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