Publications
出版专著 Monographs & Book Chapters
• Research on the Key Technologies in Narrowband Interference and Impulsive Noise Mitigation and Cancellation, Springer, Sep. 2020, 978-981-15-4723-2. [Abstract][PDF][bibtex]
• 非高斯特殊噪声干扰的抑制与消除：从经典信号处理到压缩感知方法，电子工业出版社，2019年5月
Non-Gaussian Noise and Interference Mitigation and Cancellation:From Classical Signal Processing to Compressed Sensing Methods, Publishing House of Electronics Industry, May 2019, 978-7-121-36455-6.
• 5G移动通信空口新技术，电子工业出版社，2020年7月
New Air Interface Technologies for 5G Mobile Communications, Publishing House of Electronics Industry, July 2020, 978-7-121-39193-4.
• 无线通信与安全，清华大学出版社，2021年4月
Wireless Communications and Security, Tsinghua University Press, Apr. 2021, 978-7-302-57684-6.
• Reinforcement Learning Based Communication Security for Unmanned Aerial Vehicles, (Book Chapter) In: Cyber Security Meets Machine Learning, Springer, Jan. 2021, 978-981-33-6726-5.
期刊论文 Journals
• S. Liu*, X. Tang and L. Song, "Massive Random Access Control for VLC: A Reinforcement Learning Driven Approach," IEEE Photonics Technology Letters, doi: 10.1109/LPT.2025.3533587, Jan. 2025. [Abstract][PDF][bibtex]
• S. Liu*, X. Liu, X. Du and M. Guizani, "Smart Jamming for Secrecy: Deep Reinforcement Learning Enabled Secure Visible Light Communication," IEEE Transactions on Wireless Communications, vol. 23, no. 12, pp. 17915-17928, Dec. 2024. [Abstract][PDF][bibtex]
• X. Tang, S. Liu*, X. Du and M. Guizani, "Sparsity-Aware Intelligent Massive Random Access Control for Massive MIMO Networks: A Reinforcement Learning Based Approach," IEEE Transactions on Wireless Communications, vol. 23, no. 8, pp. 9730-9744, Aug. 2024. [Abstract][PDF][bibtex]
• S. Liu*, X. Wang, J. Song and Z. Han, "Cooperative Robotics Visible Light Positioning: An Intelligent Compressed Sensing and GAN-Enabled Framework," IEEE Journal of Selected Topics in Signal Processing, vol. 18, no. 3, pp. 407-418, April 2024. [Abstract][PDF][bibtex]
•Y. Su, Y. Lin, S. Liu, et al, "Coexistence of Hybrid VLC-RF and Wi-Fi for Indoor Wireless Communication Systems: An Intelligent Approach," IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2024.3436887, Aug. 2024. [Abstract]
• W. Hua, L. Xiong, S. Liu, L. Chen, X. Hong, J. F. C. Mota, and X. Cheng, "Classification-Driven Discrete Neural Representation Learning for Semantic Communications," IEEE Internet of Things Journal, vol. 11, no. 9, pp. 16061-16073, May, 2024. [Abstract]
•Y. Su, et al, "Efficient User-Centric AP Clustering Through Stable UE-AP Matching for Indoor VLC Systems," IEEE Wireless Communications Letters, vol. 13, no. 7, pp. 1903-1907, Apr. 2024. [Abstract]
• C. Liang, J. Li, S. Liu , F. Yang, Y. Dong, J. Song, X.-P. Zhang, W. Ding, "Integrated sensing, lighting and communication based on visible light communication: A review," Digital Signal Processing, vol. 145, Fec. 2024. [Abstract][PDF][bibtex]
• T. Wei, S. Liu* and X. Du, "Visible Light Integrated Positioning and Communication: A Multi-Task Federated Learning Framework," IEEE Transactions on Mobile Computing, vol. 22, no. 12, pp. 7086-7103, Dec. 2023. [Abstract][PDF][bibtex]
• Y. Liao, S. Liu*, X. Hong, J. Shi and L. Cheng, "Integration of Communication and Navigation Technologies Towards LEO-Enabled 6G Networks: A Survey," Space: Science & Technology (Science Partner Journals), vol. 3, no. 92, pp. 1-31, Oct. 2023. [DOI: 10.34133/space.0092]
• S. Liu*, D. Su, T. Wei, X. Wang, "Multi-node Cooperation Based Robust Visible Light Intelligent Positioning," Telecommunications Science, vol. 39, no. 5, pp. 28-41, May 2023. [Abstract]
• D. Su, X. Wang, S. Liu* and W. Ding, "Four-dimensional indoor visible light positioning: A deep-learning-based perspective," Journal of the Franklin Institute, vol. 360, no. 6, pp. 4071-4090, April 2023. [Abstract][PDF][bibtex]
• S. Liu*, Y. Mou, X. Wang, D. Su, L. Cheng, "Denoising enabled channel estimation for underwater acoustic communications: A sparsity-aware model-driven learning approach," Intelligent and Converged Networks, vol. 4, no. 1, pp. 1-14, March 2023. [Abstract]
• T. Wei, S. Liu* and X. Du, "Learning-Based Efficient Sparse Sensing and Recovery for Privacy-Aware IoMT," IEEE Internet of Things Journal, vol. 9, no. 12, pp. 9948-9959, June 2022. [Abstract][PDF][bibtex]
• S. Liu* and X. Huang, "Sparsity-aware channel estimation for mmWave massive MIMO: A deep CNN-based approach," China Communications, vol. 18, no. 6, pp. 162-171, Jun. 2021. [Abstract][PDF][bibtex]
• L. Xiao, Y. Ding, J. Huang, S. Liu*, Y. Tang and H. Dai, "UAV Anti-Jamming Video Transmissions With QoE Guarantee: A Reinforcement Learning-Based Approach," IEEE Transactions on Communications, vol. 69, no. 9, pp. 5933-5947, Sept. 2021. [Abstract][PDF][bibtex]
• S. Liu*, et al, "Eliminating NB-IoT Interference to LTE System: a Sparse Machine Learning Based Approach," IEEE Internet of Things Journal, vol. 6, no. 4, pp. 6919-6932, Aug. 2019.[Abstract][PDF][bibtex]
• L. Xiao, G. Sheng, S. Liu*, H. Dai, M. Peng and J. Song, "Deep Reinforcement Learning Enabled Secure Visible Light Communication against Eavesdropping," IEEE Transactions on Communications, vol. 67, no. 10, pp. 6994-7005, Oct. 2019.[Abstract][PDF][bibtex]
• S. Liu*, et al, "Impulsive Noise Recovery and Elimination: A Sparse Machine Learning Based Approach," IEEE Transactions on Vehicular Technology, vol. 68, no. 3, pp. 2306-2315, March 2019.[Abstract][PDF][bibtex]
• L. Xiao, H. Zhang, Y. Xiao, X. Wan, S. Liu, L.-C. Wang, and H. V. Poor, "Reinforcement Learning-Based Downlink Interference Control for Ultra-Dense Small Cells," IEEE Transactions on Wireless Communications, vol. 19, no. 1, pp. 423-434, Jan. 2020.[Abstract][PDF][bibtex]
•C. Lu, Z. Wang, W. Ding, G. Li, S. Liu and L. Cheng, "MARVEL: Multi-agent reinforcement learning for VANET delay minimization," China Communications, vol. 18, no. 6, pp. 1-11, June 2021. [Abstract][PDF][bibtex]
• Z. An, S. Liu*, "Towards Diverse Paraphrase Generation Using Multi-Class Wasserstein GAN," arXiv:1909.13827, Sep. 2019. [Abstract][PDF][bibtex]
• Sicong Liu, Fang Yang*, Wenbo Ding, and Jian Song, "Double Kill: Compressive Sensing Based Narrowband Interference and Impulsive Noise Mitigation for Vehicular Communications," IEEE Transactions on Vehicular Technology, vol. 65, no. 7, pp. 5099-5109, July 2016. [Abstract][PDF][bibtex]
• Sicong Liu, Fang Yang*, Jian Song, Zhu Han, "Block Sparse Bayesian Learning Based NB-IoT Interference Elimination in LTE-Advanced Systems," IEEE Transactions on Communications, 2017, 65(10): 4559 - 4571. [Abstract][PDF][bibtex]
• Sicong Liu*, Fang Yang, Jian Song, "Narrowband Interference Cancellation Based on Priori Aided Compressive Sensing for DTMB Systems,” IEEE Transactions on Broadcasting, vol.61, no.1, pp.66-74, March 2015. [Abstract][PDF][bibtex]
• Xu Ma, Fang Yang, Sicong Liu, Jian Song, "Channel Estimation for Wideband Underwater Visible Light Communication: A Compressive Sensing Perspective", Optics Express, vol. 26, no. 1, pp. 311-321, Aug. 2018. [Abstract][PDF][bibtex]
• X. Ma, F. Yang, S. Liu, J. Song and Z. Han, "Sparse Channel Estimation for MIMO-OFDM Systems in High-Mobility Situations," in IEEE Transactions on Vehicular Technology, vol. 67, no. 7, pp. 6113-6124, July 2018. [Abstract][PDF][bibtex]
• Tengjiao Wang, Sicong Liu, Fang Yang, Jintao Wang, Jian Song, “Generalized Spatial Modulation Based Multi-User and Signal Detection Scheme for Terrestrial Return Channel with NOMA”, in IEEE Transactions on Broadcasting, vol. 64, no. 2, pp. 211-219, June 2018. [Abstract][PDF][bibtex]
• Sicong Liu, Fang Yang*, Xianbin Wang, Jian Song, Zhu Han, "Structured-Compressed-Sensing-Based Impulsive Noise Cancellation for MIMO Systems," IEEE Transactions on Vehicular Technology, 2017, 66(8): 6921 - 6931. [Abstract][PDF][bibtex]
• Sicong Liu, Fang Yang, Wenbo Ding, Jian Song, and Andrea M. Tonello, "Structured Compressed Sensing Based Narrowband Interference Elimination for In-Home Power Line Communications," IEEE Transactions on Consumer Electronics, vol. 63, no. 1, pp. 10-18, Feb. 2017. [Abstract][PDF][bibtex]
• Xu Ma, Fang Yang, Sicong Liu, Jian Song and Zhu Han, “Design and Optimizationon Training Sequence for mmWave Communications: A New Approach for Sparse Channel Estimation in Massive MIMO", in IEEE Journal on Selected Areas in Communications, vol. 35, no. 7, pp. 1486-1497, Apr. 2017. [Abstract][PDF][bibtex]
• Xu Ma, Fang Yang, Sicong Liu, Wenbo Ding, Jian Song, "Structured Compressive Sensing Based Channel Estimation for Time Frequency Training OFDM Systems over Doubly Selective Channel", in IEEE Wireless Communications Letters, vol. 6, no. 2, pp. 266-269, April 2017. [Abstract][PDF][bibtex]
• Fang Yang, Junnan Gao, Sicong Liu, and Jian Song, "Clipping Noise Elimination for OFDM Systems by Compressed Sensing With Partially Aware Support," in IEEE Transactions on Broadcasting, vol. 63, no. 1, pp. 103-110, March 2017. [Abstract][PDF][bibtex]
• Sicong Liu, Fang Yang, Jian Song, "An Optimal Interleaving Scheme with Maximum Time-Frequency Diversity for PLC Systems,” IEEE Transactions on Power Delivery, vol. 31, no. 3, pp. 1007-1014, June 2016. [Abstract][PDF][bibtex]
• Sicong Liu, Fang Yang*, Wenbo Ding, Xianbin Wang, and Jian Song, "Two Dimensional Structured Compressed Sensing Based NBI Cancellation Exploiting Spatial and Temporal Correlations in MIMO Systems," IEEE Transactions on Vehicular Technology, vol. 65, no. 11, pp. 9020-9028, Nov. 2016. [Abstract][PDF][bibtex]
• Fang Yang, Junnan Gao and Sicong Liu, "Novel Visible Light Communication Approach Based on Hybrid OOK and ACO-OFDM," IEEE Photonics Technology Letters, vol. 28, no. 14, pp. 1585-1588, July 2016. [Abstract][PDF][bibtex]
• Wenbo Ding, Yang Lu, Fang Yang, Wei Dai, Pan Li, Sicong Liu, and Jian Song, "Spectrally Efficient CSI Acquisition for Power Line Communications: A Bayesian Compressive Sensing Perspective," in IEEE Journal on Selected Areas in Communications, vol. 34, no. 7, pp. 2022-2032, July 2016. [Abstract][PDF][bibtex]
• Wenbo Ding, Fang Yang, Sicong Liu, Xianbin Wang, and Jian Song, "Non-Orthogonal Time-Frequency Training Sequence Based CSI Acquisition for MIMO Systems," IEEE Transactions on Vehicular Technologies, vol. 65, no. 7, pp. 5714-5719, July 2016. [Abstract][PDF][bibtex]
• Fang Yang, Junnan Gao, and Sicong Liu, "Priori Aided Compressed Sensing-Based Clipping Noise Cancellation for ACO-OFDM Systems," IEEE Photonics Technology Letters, vol. 28, no. 19, pp. 2082-2085, Oct.1, 1 2016. [Abstract][PDF][bibtex]
• Wenbo Ding, Fang Yang, Sicong Liu, and Jian Song, "Structured compressive sensing-based non-orthogonal time-domain training channel state information acquisition for multiple input multiple output systems," IET Communications, vol. 10, no. 6, pp. 685-690, Apr. 2016.
• Sicong Liu, Fang Yang, Chao Zhang, Jian Song, "Narrowband interference mitigation based on compressive sensing for OFDM systems”, IEICE Transactions on Fundamentals, vol. E98-A, no. 3, pp. 870–873, March 2015. [Abstract][PDF][bibtex]
• Wenbo Ding, Fang Yang, Sicong Liu, and Jian Song, "Approach to suppress out-of-band emission for dual pseudo noise padded time-domain synchronous-orthogonal frequency division multiplexing systems," IET Communications, vol. 9, no. 13, pp. 1606-1614, Sep. 2015.
会议论文 Conferences
• S. Liu*, T. Wei, Bin Chen, "Privacy-Preserving Cooperative Visible Light Positioning for Nonstationary Environment: A Federated Learning Perspective," 2025 International Wireless Communications and Mobile Computing (2025 IEEE IWCMC), pp. 25-30, May 2025. [Abstract]
• S. Liu*, Y. Mou, H. Zhang, "Block-Sparse Learning Enabled Approach Towards Efficient Channel Estimation for Underwater Visible Light Communications,” 2024 International Wireless Communications and Mobile Computing (IWCMC), Ayia Napa, Cyprus, pp. 1166-1170, June 2024. [Abstract]
• S. Liu*, Y. Mou, H. Zhang, "Sparsity-Aware Channel Estimation for Underwater Acoustic Wireless Networks: A Generative Adversarial Network Enabled Approach,” 2024 International Wireless Communications and Mobile Computing (IWCMC), Ayia Napa, Cyprus, pp. 1171-1176, June 2024. [Abstract]
• X. Wang, S. Liu*, "Multi-Target Cooperative Visible Light Positioning: A Compressed Sensing Based Framework,” 2023 IEEE International Conference on Communications (ICC), Rome, Italy, pp. 3290-3295, May 2023. [Abstract]
• Y. Mou, S. Liu*, "Channel Estimation for Underwater Visible Light Communication: A Sparse Learning Perspective,” 2023 IEEE International Conference on Communications (ICC) Workshops, Rome, Italy, pp. 943-948, May 2023. [Abstract]
• X. Tang, and S. Liu*, "Power and Interference Control for VLC-Based UDN: A Reinforcement Learning Approach," ACM UbiComp'22, pp. 432-437, Sept 2022. [Abstract]
• X. Liu, S. Liu*, "Jamming for Secrecy: Reinforcement Learning Based Anti-Eavesdropping Visible Light Communication,” 2022 IEEE International Conference on Communications (ICC), Seoul, Korea, pp. 2053-2058, Aug. 2022. [Abstract][PDF][bibtex]
• T. Wei, D. Su and S. Liu*, "Generative Adversarial Network Enabled Sparse Signal Compression and Recovery for Internet of Medical Things," ACM UbiComp'21, pp. 678–683, Sept 2021. [Abstract][PDF][bibtex]
• D. Su, L. Gao and S. Liu*, "Denoising Deep Sparse Learning Based Channel Estimation for MU-MIMO Systems," 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP), pp. 1-5, Oct. 2021. [Abstract][PDF][bibtex]
• S. Liu*, L. Gao, and D. Su, "Deep Learning Based Underwater Acoustic Channel Estimation Exploiting Physical Knowledge on Channel Sparsity," ACM UbiComp'21, pp. 655–659, Sept 2021. [Abstract][PDF][bibtex]
• D. Su, X. Liu and S. Liu*, "Three-Dimensional Indoor Visible Light Localization: A Learning-Based Approach," ACM UbiComp'21, pp. 672–677, Sept 2021. [Abstract][PDF][bibtex]
• L. Gao and S. Liu*, "Underwater Acoustic Channel Estimation Based on Sparsity-Aware Deep Neural Networks," 2021 OES China Ocean Acoustics (COA), pp. 544-549, June 2021. [Abstract][PDF][bibtex]
• T. Wei and S. Liu*, "Sparse Learning Based Implantable Medical Device Transmission against Eavesdropping," 2021 15th International Symposium on Medical Information and Communication Technology (ISMICT), pp. 70-75, May 2021. [Abstract][PDF][bibtex]
• X. Huang, S. Liu*, "Massive MIMO Channel Estimation for Vehicular Communications: A Deep Learning Based Approach,” 2020 IEEE International Conference on Communications (ICC) Workshops, Dublin, Ireland, June 2020. [Abstract][PDF][bibtex]
• W. Wang, X. Lu, S. Liu*, et al, "Energy Efficient Relay in UAV Networks Against Jamming: A Reinforcement Learning Based Approach,” 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), Antwerp, Belgium, May 2020. [Abstract][PDF]
• Y. Ding, D. Jiang, J. Huang, L. Xiao, S. Liu*, Y. Tang, H. Dai, "QoE-Aware Power Control for UAV-Aided Media Transmission with Reinforcement Learning,” 2019 IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, 2019, pp. 1-6. [Abstract][PDF]
• H. Zhang, M. Min, L. Xiao, S. Liu*, P. Cheng and M. Peng, "Reinforcement Learning-Based Interference Control for Ultra-Dense Small Cells,” 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 2018, pp. 1-6. [Abstract][PDF]
• Z. Xiao, B. Gao, S. Liu* et al, "Learning Based Power Control for mmWave Massive MIMO against Jamming,” 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 2018, pp. 1-6. [Abstract][PDF]
• Jian Song, Sicong Liu, Guangxin Zhou, Bingyan Yu, Wenbo Ding, Fang Yang, Hongming Zhang, Xun Zhang, Amara Amara, "A cost-effective approach for ubiquitous broadband access based on hybrid PLC-VLC system", in Proc. 2016 IEEE International Symposium on Circuits and Systems (ISCAS), Montreal, QC, May 2016, pp. 2815-2818.(invited paper) [Abstract][PDF]
• Sicong Liu, Fang Yang, Jian Song, Fei Ren, Jia Li, "OFDM preamble design for synchronization under narrowband interference”, in Proc. IEEE International Symposium on Power Line Communications (ISPLC), Johannesburg, South Africa, Mar. 2013, pp. 252-257. [Abstract][PDF]
• Sicong Liu, Fang Yang, Wenbo Ding, Jian Song, Zhu Han, "Impulsive Noise Cancellation for MIMO-OFDM PLC Systems: a Structured Compressed Sensing Perspective", in Proc. IEEE Global Communications Conference (Globecom), Washington, DC, Dec. 2016. [Abstract][PDF]
• Sicong Liu, Fang Yang, Wenbo Ding, Jian Song, "NBI Cancellation for Smart Grid Communications: A Block Sparse Bayesian Learning Perspective", in Proc. 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, May 2016, pp. 1-6.
• Sicong Liu, Fang Yang, Wenbo Ding, Jian Song, "Structured compressive sensing based narrowband interference mitigation for vehicular communications,” Proc. IEEE International Conference on Communications (ICC’15), pp. 2375-2380, Jun. 2015.
• Sicong Liu, Fang Yang, Wenbo Ding, and Jian Song, "A Priori Aided Compressive Sensing Approach for Impulsive Noise Reconstruction," in Proc. IEEE IWCMC 2015, Dubrovnik, Croatia.
• Sicong Liu, Fang Yang, Wenbo Ding, and Jian Song, “Structured Compressed Sensing Based NBI Recovery from Spatial Multiple Differential Measurements for MIMO PLC Systems,” in Proc. IEEE Globecom 2015, San Diego, USA.
• Sicong Liu, Fang Yang, Jian Song, Jianqi Li, Weilin Liu, "An optimized time-frequency interleaving scheme for OFDM-based power line communication systems”, in Proc. IEEE International Conference on Communications (ICC), Sydney, Jun. 2014, pp. 4137-4142.
• Sicong Liu, Fang Yang, Chao Zhang, Jian Song, "Compressive Sensing Based Narrowband Interference Cancellation for Power Line Communication Systems”, to be published in Proc. IEEE Global Communications Conference (Globecom), Austin, USA, Dec. 2014.
• Tengjiao Wang, Sicong Liu, Fang Yang, Jintao Wang, Jian Song, Zhu Han, “Block-SparseCompressiveSensingBased Multi-User and Signal Detection for Generalized Spatial Modulation in NOMA”, accepted by Proc. Wireless Communications and Mobile Computing 2017 (IWCMC’17), Valencia, Spain, 2017.
• Wenbo Ding, Fang Yang, Sicong Liu, and Jian Song, “Spectrally Efficient CSI Acquisition Approach For Large-Scale MIMO Systems,” in Proc. IEEE Globecom 2015, San Diego, USA.
• Junnan Gao, Fang Yang, Sicong Liu, "Hybrid Multi- and Single-Carrier Modulation Approach for Visible Light Communication", in Proc. IEEE International Conference on Communications (ICC'17), May 2017.
• Fang Yang, Junnan Gao, Sicong Liu, "Clipping Noise Cancellation for OFDM systems Based on Priori Aided Compressed Sensing", in Proc. IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Nara, 2016, pp. 1-4.
• Xu Ma, Fang Yang, Sicong Liu, Jian Song, Zhu Han, "Training Sequence Design and Optimization for Structured Compressive Sensing Based Channel Estimation in Massive MIMO Systems", in Proc. IEEE Global Communications Conference (Globecom), Dec. 2016.
• Fang Yang, Junnan Gao, Sicong Liu, and Jian Song, "Clipping noise cancellation based on compressed sensing for visible light communication", in Proc. 3rd Workshop on Visible Light Communication Systems (VLCS'16), New York, USA, 2016, pp. 1-6.