Journal Articles (*Corresponding Authors):

[J41] Zheng Wang, Shengheng Liu, Yili Xia, Cong Ling, and Yongming Huang*, "Randomized iterative sampling decoding algorithm for large-scale MIMO detection", IEEE Transactions on Signal Processing, in press, 2023.

[J40] Xiaohu You*, Yongming Huang*, Shengheng Liu, Dongming Wang, Junchao Ma, Chuan Zhang, Hang Zhan, Cheng Zhang, Jiao Zhang, Jin Li, Min Zhu, Jianjie You, Dongjie Liu, Shiwen He, Guanghui He, Fengyi Yang, Yang Liu, Jianjun Wu, Jianmin Lu, Ge Li, Xiaowu Chen, Wenguang Chen, Wen Gao, "Toward 6G TKμ extreme connectivity: Architecture, key technologies and experiments", IEEE Wireless Communications, in press, 2023. (DOI: 10.1109/MWC.004.2200482)

[J39] Mengguan Pan, Shengheng Liu*, Peng Liu*, Wangdong Qi, Yongming Huang, Wang Zheng, Qihui Wu, and Markus Gardill, "In-situ calibration of antenna arrays for positioning with 5G networks", IEEE Transactions on Microwave Theory and Techniques, in press, 2023. (DOI: 10.1109/TMTT.2023.3256532)

[J38] Xinghua Jia, Peng Liu*, Wangdong Qi, Shengheng Liu, Yongming Huang, Wang Zheng, Mengguan Pan, and Xiaohu You, "Link-level simulator for 5G localization", IEEE Transactions on Wireless Communications, in press, 2023. (DOI: 10.1109/TWC.2022.3232379)

[J37] Wenzhe Fan, Shengheng Liu*, Chunguo Li, and Yongming Huang*, "Fast direct localization for millimeter wave MIMO systems via deep ADMM unfolding", IEEE Wireless Communications Letters, vol. 12, no. 4, pp. 748–752, Apr. 2023.

[J36] Xingshuai Qiao, Yuan Feng*, Shengheng Liu, Tao Shan, and Ran Tao, "Radar point clouds processing for human activity classification using convolutional multilinear subspace learning", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, art. no. 5121117, Dec. 2022.

[J35] Chong Zheng, Shengheng Liu*, Yongming Huang*, Wei Zhang, and Luxi Yang, "Unsupervised recurrent federated learning for edge popularity prediction in privacy-preserving mobile edge computing networks", IEEE Internet of Things Journal, vol. 9, no. 23, pp. 24328–24345, Dec. 2022.

[J34] Mengguan Pan, Peng Liu*, Shengheng Liu, Wangdong Qi, Yongming Huang, Xiaohu You, Xinghua Jia, and Xiaodong Li, "Efficient joint DOA and TOA estimation for indoor positioning with 5G picocell base stations", IEEE Transactions on Instrumentation and Measurement, vol. 71, art. no. 8005219, Aug. 2022.

[J33] Zihuan Mao, Shengheng Liu*, Yimin D. Zhang, Leixin Han, and Yongming Huang*, "Joint DoA-range estimation using space-frequency virtual difference coarray", IEEE Transactions on Signal Processing, IEEE Transactions on Signal Processing, vol. 70, pp. 2576–2592, May 2022.

[J32] Shengheng Liu, Chong Zheng, Yongming Huang*, and Tony Q. S. Quek, "Distributed reinforcement learning for privacy-preserving dynamic edge caching", IEEE Journal on Selected Areas in Communications, vol. 40, no. 3, pp. 749–760, Mar. 2022.

[J31] Zihuan Mao, Shengheng Liu*, Si Qin, and Yongming Huang, "Cramér-Rao bound of joint DOA-range estimation for coprime frequency diverse arrays", Remote Sensing, vol. 14, no. 3, art. no. 583, Feb.2022.

[J30] Fan Meng, Shengheng Liu, Yongming Huang*, and Zhaohua Lu*, "Learning-aided beam prediction in mmWave MU-MIMO systems for high-speed railway", IEEE Transactions on Communications, vol. 70, no. 1, pp. 693–706, Jan. 2022.

[J29] Dongdong Pang, Tao Shan*, Pengge Ma, Wei Li, Shengheng Liu, and Ran Tao, "A novel spatio-temporal saliency method for low-altitude slow small infrared target detection", IEEE Geoscience and Remote Sensing Letters, vol. 19, art. no. 7000705, Jan. 2022.

[J28] Chunmei Xu, Shengheng Liu*, Zhaohui Yang, Yongming Huang*, and KaiKit Wong, "Learning rateoptimization for federated learning exploiting over-the-air computation", IEEE Journal on Selected Areas inCommunications, vol. 39, no. 12,pp. 3742–3756, Dec. 2021.

[J27] Chong Zheng, Shengheng Liu*, Yongming Huang*, and Luxi Yang, "Hybrid policy learning for energy-latency tradeoff in MEC-assisted VR video service", IEEE Transactions on Vehicular Technology,vol. 70, no. 9, pp. 9006–9021, Sept. 2021.

[J26] Shengheng Liu, Zihuan Mao, Yimin D. Zhang, and Yongming Huang*, "Rank minimization-based Toeplitz reconstruction for DoA estimation using coprime array", IEEE Communications Letters,vol. 25, no. 7, pp. 2265–2269, July 2021.

[J25] Yongming Huang, Shengheng Liu, Cheng Zhang, Xiaohu You*, and Hequan Wu, "True-data testbed for 5G/B5G intelligent network", Intelligent and Converged Networks, vol. 2, no. 2, pp. 133–149, Jun. 2021.

[J24] Chunmei Xu, Shengheng Liu, Cheng Zhang, Yongming Huang*, Zhaohua Lu*, and Luxi Yang, "Multi-agent reinforcement learning based distributed transmission in collaborative cloud-edge systems", IEEE Transactions on Vehicular Technology,vol. 70, no. 2, pp. 1658–1672, Feb. 2021.

[J23] Shengheng Liu*, Hongchi Zhang, Tao Shan, and Yongming Huang, "Efficient radar detection of weak maneuvering targets using a coarse-to-fine strategy", IET Radar Sonar and Navigation, vol. 15, no. 2, pp. 181–193, Feb. 2021.

[J22] Hongchi Zhang, Tao Shan, Shengheng Liu*, and Ran Tao,"Performance evaluation and parameter optimization of sparse Fourier transform", Signal Processing, vol. 179, art. no. 107823, Feb. 2021.

[J21] Shengheng Liu*, Yongming Huang*, Hancong Wu, Chao Tan, and Jiabin Jia, "Efficient multitask structure-aware sparse Bayesian learning for frequency-difference electrical impedance tomography", IEEETransactions on Industrial Informatics, vol. 17, no. 1, pp. 463–472, Jan. 2021.

[J20] Shengheng Liu*, Ruisong Cao,Yongming Huang*, Taweechai Ouypornkochagorn, and Jiabin Jia, "Time sequence learning for electrical impedance tomography using Bayesian spatiotemporal priors", IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 9, pp. 6045–6057, Sept. 2020.

[J19] Hongchi Zhang, Tao Shan, Shengheng Liu*, and Ran Tao,"Optimized sparse fractional Fourier transform: Principle and performance analysis", Signal Processing, vol. 174, art. no. 107646, Sept. 2020.

[J18] Dongdong Pang, Tao Shan*, Wei Li, Pengge Ma, Shengheng Liu, and Ran Tao,"Infrared dim and small target detection based on greedy bilateral factorization in image sequences", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 3394–3408, June 2020.

[J17] Shengheng Liu, Hancong Wu, Yongming Huang*, Yunjie Yang, and Jiabin Jia, "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.

[J16] Cunsuo Pang*, Shengheng Liu, and Yan Han, "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.

[J15] Shengheng Liu*, Yahui Ma, and Yongming Huang*, "Sea clutter cancellation for passive radar sensor exploiting multi-channel adaptive filters", IEEE Sensors Journal, vol. 19, no. 3, pp. 982–995, Feb. 2019.

[J14] Shengheng Liu, Jiabin Jia*, Yimin D. Zhang, and Yunjie Yang, "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.

[J13] Cunsuo Pang*, Shengheng Liu, and Yan Han,"High-speed target detection algorithm based on sparse Fourier transform", IEEE Access, vol. 6, pp.37828–37836, July 2018.

[J12] Shengheng Liu, Yimin D. Zhang, Tao Shan*, and Ran Tao, "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.

[J11] Shengheng Liu, Yimin D. Zhang, and Tao Shan*, "Detection of weak astronomical signals with frequency-hopping interference suppression", Digital Signal Processing, vol. 72, pp. 1–8, Jan. 2018.

[J10] Jianguo Liu, Li Yu*, Xuesong Li, and Shengheng Liu, "Research on joint segment optimization and stereo matching", IET Communications, vol. 11, no. 9, pp. 1446–1453, June 2017.

[J9] Cunsuo Pang*, Yan Han, Huiling Hou, Shengheng Liu, and Nan Zhang, "Micro-Doppler signal time-frequency algorithm based on STFRFT", Sensors, vol. 16, no. 10, art. no. 1559, Oct. 2016.

[J8] Yonghui Zhai*, Ding Wang, Jiang Wu, and Shengheng Liu, "A novel clutter cancellation method utilizing joint multi-domain information for passive radar", IEICE Transactions on Communications, vol. E99-B, no. 10, pp. 2203–2211, Oct. 2016.

[J7] Cunsuo Pang*, Yan Han, Shengheng Liu, and Nan Zhang,"A high-speed target detection algorithm based on frequency compensation", Optik, vol. 127, no. 17, pp. 6894–6905, Sept. 2016.

[J6] Jun Ma*, Yonghong Zhang, and Shengheng Liu,"Improvement of auctioneer's revenue under incomplete information incognitive radio networks", IEICE Transactions on Information and Systems, vol. E99-D, no. 2, pp. 533–536, Feb. 2016.

[J5] Tao Shan*, Shengheng Liu, Yimin D. Zhang, Moeness G. Amin, Ran Tao, and Yuan Feng, "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.

[J4] Shengheng Liu, Tao Shan*, RanTao*, Yimin D. Zhang, Guo Zhang, Feng Zhang, and Yue Wang, "Sparse discrete fractional Fourier transform and its applications", IEEE Transactions on Signal Processing, vol. 62, no. 24, pp. 6582–6595, Dec. 2014.

[J3] Tao Shan*, Shengheng Liu, Ran Tao, and Guo Zhang, "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.

[J2] Tao Shan*, Yahui Ma, Ran Tao, and Shengheng Liu, "Multi-channel NLMS-based sea clutter cancellation in passive bistatic radar", IEICE Electronics Express, vol. 11, no. 20, art. no. 20140872, Oct. 2014.

[J1] Shengheng Liu, Tao Shan*, Ran Tao, and Yue Wang, "Liveness evaluation of multi-living agent system", Journal of Systems Engineering and Electronics, vol. 24, no. 3, pp. 435–444, June 2013.

Conference Presentations:

[C39] Zhihan Gong, Shengheng Liu, Lei Li, Yongming Huang, and Jinhong Yuan, `Super-resolution delay-Doppler estimation for OTFS radar’, in Proceedings of the 2023 IEEE International Conference on Communications (ICC): 5th Workshop on Integrated Sensing and Communication (ISAC), Rome, Italy, May28 – June 01, 2023.

[C38] Xinghua Jia, Peng Liu, Shengheng Liu, Xiaodong Li, and Wangdong Qi, `Link-level simulator for 5G localization’, in Proceedings of the 2022 IEEE Global Communications Conference (GLOBECOM): 4th Workshop on Future of Wireless Access and Sensing for Industrial IoT (FutureIIoT), pp. 401–406, Rio de Janeiro, Brazil, December 4–8, 2022.

[C37] Jingyi Su, Fan Meng, Shengheng Liu, Yongming Huang, and Zhaohua Lu, `Learning to predict and optimize imperfect MIMO system performance: Framework and application’, in Proceedings of the 2022 IEEE Global Communications Conference (GLOBECOM): Mobile & Wireless Networks Symposium, pp. 335–340, Rio de Janeiro, Brazil, December 4–8, 2022.

[C36] Zeren He, Shengheng Liu, Xiaolong Miao, and Yongming Huang, `Two-dimensional adaptive beamforming based on atomic-norm minimization’, in Proceedings of the 2022 IEEE International Symposium on Phased Array Systems and Technology (PAST2022), pp. 1–5, Waltham, MA, USA, October 11–14, 2022.

[C35] Jingyi Su, Shengheng Liu, Yongming Huang, and Jinhong Yuan, `Peak-to-average power ratio reduction via symbol precoding in OTFS modulation’, in Proceedings of the 2022 IEEE 95th Vehicular Technology Conference: VTC2022-Spring, pp. 1–5, Helsinki, Finland, June 19–22, 2022.

[C34] Zhihan Gong, Shengheng Liu, and Yongming Huang, `Doppler diversity reception for OTFS modulation’, in Proceedings of the 2022 IEEE 95th Vehicular Technology Conference: VTC2022-Spring, pp. 1–5, Helsinki, Finland, June 19–22, 2022.

[C33] Linxi Liu, Shengheng Liu, Yongming Huang, and Moeness G. Amin, `Joint DoA-range estimation using moving time-modulated frequency diverse coprime array’, in Proceedings of the 2022 IEEE Radar Conference, pp. 1–5, New York City, NY, USA, March 21–25, 2022.

[C32] Tianheng Ni, Shengheng Liu, Zihuan Mao,and Yongming Huang, `Information-theoretic target localization with compressed measurement using FDA radar’, in Proceedings of the 2022 IEEE Radar Conference, pp. 1–5, NewYork City, NY, USA, March 21–25, 2022.

[C31] Hao Wang, Shengheng Liu, Zihuan Mao, Xinghua Jia, and Yongming Huang, `2D-CNN-based AoA-ToA estimation in presence of angle-dependent phase errors using pico-cells’, in Proceedings of the 2021 CIE International Radar Conference, pp. 1–5, Haikou, China, December 15–19, 2021.

[C30] Tianheng Ni, Shengheng Liu, Zihuan Mao, and Yongming Huang, `Enhanced range-dependent beampattern using frequency diverse padded coprime array’, in Proceedings of the 2021 CIE International Radar Conference, pp. 1–5, Haikou, China, December 15–19,2021.

[C29] Mengguan Pan, Peng Liu, Xinghua Jia, Shengheng Liu, Wangdong Qi, and Yongming Huang, `A joint DoA and ToA estimation scheme for 5G signals under array modeling errors’, in Proceedings of the 2021 CIE International Radar Conference, pp. 1–5, Haikou, China, December 15–19, 2021.

[C28] Mengguan Pan, Peng Liu, Xiaodong Li, Shengheng Liu, Wangdong Qi, and Yongming Huang, `A low-complexity joint AoA and ToA estimation method for positioning with 5G signals’, in Proceedings of the 2021 CIE International Radar Conference, pp. 1–5, Haikou, China, December 15–19, 2021.

[C27] Chong Zheng, Shengheng Liu, Yongming Huang, and Tony Q.S. Quek,`Privacy-preserving federated reinforcement learning for popularity-assisted edge caching’, in Proceedings of the 2021 IEEE Global Communications Conference (GLOBECOM): Machine Learning for Communications Symposium, pp. 1–6, Madrid, Spain, December 7–11, 2021.

[C26] Yuqi Zhang, Shengheng Liu, Zhaohua Lu, Fan Meng, and Yongming Huang,`Learning-aided beam management for mmWave high-speed railway networks’, in Proceedings of the 2021 IEEE Global Communications Conference (GLOBECOM): Signal Processing for Communications Symposium, pp. 1–6, Madrid, Spain, December 7–11, 2021.

[C25] Yuqi Zhang, Shengheng Liu, Zihuan Mao, and Yongming Huang, `DoA estimation based on accelerated structured alternating projection using coprime array’, in Proceedings of the SPIE/CSOE Symposium on Radar Signal Processing Technologies and Applications, pp. 1–9, Xi'an, China, July 28–30, 2021.

[C24] Chunmei Xu, Shengheng Liu, Yongming Huang, Chongwen Huang, and Zhaoyang Zhang, `Over-the-air learning rate optimization for federated learning’, in Proceedings of the IEEE International Conference on Communications (ICC) Workshop on Edge Learning for 5G Mobile Networks and Beyond, pp. 1–6, Montreal, QC, Canada, June 14–23, 2021.

[C23] Ruisong Cao, Shengheng Liu, Zihuan Mao, and Yongming Huang, `Doubly-Toeplitz-based interpolation for joint DOA-range estimation using coprime FDA’, in Proceedings of the 2021 IEEE Radar Conference, pp. 1–6, Atlanta, GA, USA, May 10–14, 2021.

[C22] Tianheng Ni, Shengheng Liu, Zihuan Mao, and Yongming Huang,`Range-dependent beamforming using space-frequency virtual difference coarray’, in Proceedings of the 2021 IEEE Radar Conference, pp. 1–5, Atlanta, GA, USA,May 10–14, 2021.

[C21] Chenwen Liu, Shengheng Liu, Zihuan Mao, Yongming Huang, and Haiming Wang, `Low-complexity parameter learning for OTFS modulation based automotive radar’, in Proceedings of the 46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 8238–8242, Toronto, ON, Canada, June 6–11,2021.

[C20] Chenwen Liu, Shengheng Liu, Cheng Zhang, Yongming Huang, and Haiming Wang,`Multipath propagation analysis and ghost target removal for FMCW automotive radars’, in Proceedings of the 2020 IET International Radar Conference (IRC), pp. 330–334, Chongqing, China, November 4–6, 2020.

[C19] Hongchi Zhang, Tao Shan, Shengheng Liu, and Ran Tao, `Parameter optimization of sparse Fourier transform for radar target detection’, in Proceedings of the 2020 IEEE Radar Conference, pp. 343–347, Florence, Italy, September 21–25, 2020.

[C18] Chunmei Xu, Shengheng Liu, Cheng Zhang, Yongming Huang, and Luxi Yang, `Joint user scheduling and beam selection in mmWave networks based on multi-agent reinforcement learning’, in Proceedings of the 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM), Hangzhou, China, 8-11 June, 2020.

[C17] Chong Zheng, Shengheng Liu, Yongming Huang, and Luxi Yang, `MEC-enabled wireless VR video service: A learning-based mixed strategy for energy-latency tradeoff’, in Proceedings of the 2020 IEEE Wireless Communications and Networking Conference (WCNC), Seoul, South Korea, 6-9 April, 2020.

[C16] Dongming Ren, Kang Chen, Shengheng Liu, and Yongming Huang, `FPGA prototyping of a millimeter-wave multiple gigabit WLAN system’, in Proceedings of the 2019 IEEE International Workshop on Signal Processing Systems (SiPS), pp. 260–265, Nanjing, China, October 20–23, 2019.

[C15] Shengheng Liu, Yahui Ma, and Tao Shan, `Segmented discrete polynomial-phase transform with coprime sampling’, in Proceedings of the 2018 IET International Radar Conference (IRC), art. no. C0073, Nanjing, China, October 17–19, 2018.

[C14] Shengheng Liu, and JiabinJia, `EIT velocity field estimation via pixel-to-pixel least-squares matching’, in Proceedings of the ISIPT 9th World Congress on Industrial Process Tomography (WCIPT), art. no. P002, Bath, UK, September 2–6, 2018.

[C13] Yahui Ma, Shengheng Liu, and Jun Lu, `A multi-channel partial-update algorithm for sea clutter suppression in passive bistatic radar’, in Proceedings of the 2018 IEEE Sensor Array and Multichannel Signal Processing (SAM) Workshop, pp. 252–256, Sheffield, UK, July 8–11, 2018.

[C12] Shengheng Liu and Jiabin Jia, `Sequential EIT frame reconstruction exploiting spatiotemporal correlation’, in Proceedings of the 19th International Conference on Biomedical Applications of Electrical Impedance Tomography (EIT), p. 44, Edinburgh, UK, June11–13, 2018.

[C11] Hancong Wu, Yunjie Yang, Shengheng Liu, Pierre O. Bagnaninchi, and Jiabin Jia,`Multi-plane electrode configuration for 3D cellular assay of electrical impedance tomography’, in Proceedings of the 19th International Conference on Biomedical Applications of Electrical Impedance Tomography (EIT), p. 19, Edinburgh, UK, June 11–13, 2018.

[C10] Jiaqi Lin, Yuan Feng, and Shengheng Liu, `Fast ISAR imaging based on sparse Fourier transform algorithm’, in Proceedings of the 2017 the 9th International Conference on Advanced Infocomm Technology (ICAIT), pp. 334–339, Chengdu,China, November 22–24, 2017.

[C9] Shengheng Liu, Jiabin Jia, and Yunjie Yang, `Image reconstruction algorithm for electrical impedance tomography based on block sparse Bayesian learning’, in Proceedings of the 2017IEEE International Conference on Imaging Systems and Techniques (IST), pp. 267–271, Beijing, China, October 18–20, 2017.

[C8] Tingting Fan, Tao Shan, Shengheng Liu, and Yuan Feng, `A fast pulse compression algorithm based on sparse inverse Fourier transform’, in Proceedings of the 2016 CIE International Conference on Radar (RADAR'16), pp. 1362–1366, Guangzhou, China, October 10–13, 2016.

[C7] Shengheng Liu, Yimin D. Zhang, and Tao Shan, `Sparsity-based frequency-hopping spectrum estimation with missing samples’, in Proceedings of the 2016 IEEE Radar Conference, pp.1043–1047, Philadelphia, PA, USA, May 2–6, 2016.

[C6] Shengheng Liu, Yimin D. Zhang, Tao Shan, Si Qin, and Moeness G. Amin, `Structure-aware Bayesian compressive sensing for frequency-hopping spectrum estimation’, in Proceedings of the 2016 SPIE Defense + Commercial Sensing, art. no. 98570N, Baltimore, MD, USA, April17–21, 2016.

[C5] Shengheng Liu, Zhengxin Zeng,Yimin D. Zhang, Tingting Fan, Tao Shan, and Ran Tao, `Automatic human fall detection in fractional Fourier domain for assisted living’, in Proceedings ofthe 41st IEEE International Conference on Acoustics, Speech and SignalProcessing (ICASSP), pp. 799–803, Shanghai, China, March 20–25, 2016.

[C4] Shengheng Liu, Tao Shan, Yimin D. Zhang, Ran Tao, and Yuan Feng, `A fast algorithm for multi-component LFM signal analysis exploiting segmented DPT and SDFrFT’, in Proceedings of the IEEE International Radar Conference, pp. 1139–1143, Arlington, VA, USA, May11–15, 2015.

[C3] Yuan Feng, Tao Shan, Shengheng Liu, and Ran Tao, `Interference suppression using joint spatio-temporal domain filtering in passive radar’, in Proceedings of the IEEE International Radar Conference, pp. 1156–1160, Arlington, VA, USA, May11–15, 2015.

[C2] Zhihai Zhuo, Tao Shan, Yuan Feng, Shengheng Liu, and Jian Zhang, `A subband adaptive filter for DTV based passive radar’, in Proceedings of the IET International RadarConference, art. no. D0534, Xi’an, China, April 14–16, 2013.

[C1] Yuan Feng, Zhihai Zhuo, Shengheng Liu, Xiaokang Cheng, Letao Zhang, and Zhipeng Zhang, `A novel adaptive filter based on FDLMS and modified MFLMS’, in Proceedings of the IEEE International Conference onInformation Science and Technology (ICIST), pp. 1326–1329, Yangzhou, China,March 23–25, 2013.

● 2006.09—2010.06  北京理工大学信息与电子学院本科生（保送本直博）

● 2010.09—2017.03  北京理工大学信息与电子学院博士研究生

● 2015.10—2016.10  美国天普大学(Temple University) 国家公派联合培养博士生

● 2017.04—2018.08  英国爱丁堡大学(The University of Edinburgh) 博士后

● 2018.09— 至   今    东南大学信息科学与工程学院副教授

《无源雷达探测中的信号处理（双语研讨）》本科三年级（春季）专业选修课（2020至今）

《现代数字信号处理》研究生一年级（春季）专业必修课（2020至今）

《数字通信原理与系统》研究生一年级（春季）专业必修课（2019、2020）

谷歌个人主页： https://sites.google.com/site/shenghengliu/

学院教师主页： https://radio.seu.edu.cn/2018/1129/c19941a247869/page.htm