【个人简介】

2012年毕业于清华大学电子工程系本科获电子信息科学与技术学士学位，2017年获清华大学电子工程系信息与通信工程博士学位，导师宋健教授, 并评为清华大学优秀博士毕业生。2010至2011年间赴香港城市大学电子工程学系交流访学。2017至2018年担任华为技术有限公司网络技术研究部高级工程师。 2018年起任bwin必赢助理教授。现任bwin必赢副教授。

已发表60余篇期刊与会议学术论文，出版学术专著4部、专著章节1部，获得10项发明专利授权。 担任一项宽带通信国家标准起草人。福建省高层次人才、福建省引进高层次人才、厦门市高层次人才。获中国电子学会自然科学二等奖、中国地理信息协会地理信息科技进步一等奖、福建省科技进步三等奖、 清华大学优秀博士学位论文奖、清华大学电子系“学术新秀”奖。获ACM UbiComp 2021 CPD优秀论文奖。主持国家自然科学基金面上项目、国家自然科学基金青年基金、国家重点实验室开放课题、福建省自然科学基金面上项目与青年项目、厦门市自然科学基金青年项目等多项科研项目。 参与国家重点研发计划、国家科技重大专项、福建省科技重大专项等科研项目。获厦门大学高等教育教学成果奖一等奖。主编一部学科专业教材入选教育部高等学校电子信息类专业教学指导委员会规划教材。

IEEE高级会员，中国自动化学会网联智能专委会委员，中国通信学会高级会员，中国电子学会会员，ACM会员。参与多个国际学术会议的组织工作，包括担任 IEEE SmartGridComm 2019 的 Publication Chair，IEEE ISPLC 2021 的 TPC Chair, ACM UbiComp CPD 2022 的 TPC Chair, IEEE ICCC 2021 的 Workshop Chair，IEEE ICCE 2019 的 Track Chair， 以及包括IEEE ICC/Globecom在内的多个国际学术会议技术程序委员会委员。担任Digital Signal Processing, Frontiers in Communications and Networks, Sensors Journal, Future Internet Journal等国际学术期刊编委或特邀编委。

目前的研究兴趣为通信感知一体化、可见光通信、压缩感知、基于人工智能的通信技术。

招收研究生、本科毕设和对科研感兴趣的同学，欢迎对相关方向感兴趣的同学联系我（可通过上述E-mail）。

最新详细信息可查看个人主页：https://liusc1028.github.io/sicongliu.html   

【教育学术经历】

2021年8月 - 至今 bwin必赢，副教授

2018年3月 - 2021年7月 bwin必赢，助理教授

2017年7月 - 2018年3月 华为技术有限公司网络技术研究部，高级工程师

2012年8月 - 2017年7月 清华大学电子工程系，攻读信息与通信工程博士学位

2010年8月 - 2011年1月 香港城市大学电子工程学系，交流访学

2008年8月 - 2012年7月 清华大学电子工程系，本科

【荣誉奖励】

• 中国地理信息协会地理信息科技进步一等奖，2024

• 厦门大学高等教育教学成果奖一等奖，2023

• 厦门市高层次人才，2023

• ACM UbiComp 2021 CPD 优秀论文奖，2021

• 福建省高层次人才，2021

• 中国电子学会自然科学二等奖，2019

• 福建省科技进步三等奖，2019

• 福建省引进高层次人才，2019

• 清华大学优秀博士学位论文奖, 2017

• 清华大学优秀博士毕业生, 2017

• 北京市优秀毕业生, 2017

• 清华大学电子系科创“电子之星”奖, 2017

• 清华大学电子系“学术新秀”奖, 2016

• 博士研究生国家奖学金, 2016

• 清华大学优秀研究生支持计划暨唐立新奖学金, 2015

• 硕士研究生国家奖学金, 2014

• 清华大学本科优良毕业生, 2012

【科研项目】

• 国家自然科学基金面上项目，稀疏和智能驱动的可见光通信感知融合技术研究，2025年1月-2028年12月，主持

• 国家自然科学基金青年基金，面向高可靠车联网通信的稀疏干扰消除方法研究，2020年1月-2022年12月，主持

• 移动通信国家重点实验室开放课题项目，复杂非平稳水下无线光信道稀疏建模与智能估计技术研究，2023年1月-2024年12月，主持

• 福建省自然科学基金面上项目，水下可见光通信的复杂信道稀疏表征和智能估计技术研究，2023年8月-2026年7月，主持

• 福建省自然科学基金青年项目，面向新一代无线通信的多重压缩感知与稀疏学习技术研究，2019年7月-2022年6月，主持

• 厦门市自然科学基金青年创新基金，复杂5G无线环境下的稀疏干扰智能消除方法，2020年7月-2023年6月，主持

• 中央高校基本科研项目，基于压缩感知与机器学习的5G无线通信关键技术研究，2019年1月-2019年12月，主持

• 产学研合作项目课题-美亚柏科，基于机器学习的稀疏干扰对抗车联网安全技术研究，2018年12月-2020年6月，主持

【学术服务】

• IEEE Senior Member, 2022

• Lead Guest Editor, Digital Signal Processing, 2023

• TPC Chair, ACM UbiComp CPD, 2022,

• Guest Editor, Sensors Journal, 2021

• TPC Chair, IEEE International Symposium on Power Line Communications (ISPLC) 2021

• Workshop Chair, IEEE International Conference on Communications in China (ICCC) 2021

• Associate Editor, Frontiers in Communications and Networks, 2020

• Publication Chair, IEEE SmartGridComm 2019

• Guest Editor, Future Internet Journal, 2017

• TPC member, IEEE ICC, Globecom, SmartGridComm, WCNC, VTC, IWCMC, ICCC, etc.

【主讲课程】

• CST304: Digital Signal Processing, Undergraduates, Fall 2018/2019, Xiamen University Malaysia (English)

• CST103: Programming Language (C), Undergraduates, Fall 2018/2019, Xiamen University Malaysia (English)

• 通信电路原理, 本科生, 2018/2019、2019/2020、2020/2021、2021/2022、2023/2024学年，厦门大学

• 数字通信, 研究生, 2022/2023、2023/2024学年，厦门大学

• 无线通信原理, 本科生, 2019/2020、2020/2021、2021/2022学年, 厦门大学

• 数字信号处理实验, 本科生, 2019/2020、2020/2021学年，厦门大学

• 数字电视技术, 本科生, 2022/2023学年，厦门大学

【发表论著】

谷歌学术个人主页：

谷歌学术个人主页：https://scholar.google.com/citations?user=FjTr1C8AAAAJ

出版专著：

• Research on the Key Technologies in Narrowband Interference and Impulsive Noise Mitigation and Cancellation, Springer, Sep. 2020, 978-981-15-4723-2.

• 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, 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, 978-7-121-39193-4.

• 无线通信与安全，清华大学出版社，2021年4月, 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：

• S. Liu*, X. Liu, X. Du and M. Guizani, "Smart Jamming for Secrecy: Deep Reinforcement Learning Enabled Secure Visible Light Communication," to appear in IEEE Transactions on Wireless Communications, DOI:10.1109/TWC.2024.3458046, Sep. 2024.

• 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.

• 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, doi: 10.1109/JSTSP.2024.3368661, Feb. 2024.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• S. Liu, F. Yang, D. Li, R. Yao, and J. Song*, "Power Line Communication with Robust Timing and Carrier Recovery against Narrowband Interference for Smart Grid," Sensors, vol. 22, no. 11, pp. 4013, May 2022.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

会议论文：

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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)

• 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.

• 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.

• 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.

学术报告：

• 在 2024 12th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC) 会议做邀请学术报告

• 在 2023 11th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC) 会议做邀请学术报告

• 在 2023 Visible Light Communications and Optical Computing (VLCOC)会议做邀请学术报告

• 在IEEE国际电路与系统大会 IEEE International Symposium on Circuits and Systems (ISCAS) 2016 做邀请学术报告

• 在IEEE无线光通信国际学术会议 IEEE Symposium and Workshop on Visible Light Communications 2016 做邀请学术报告

• 在戴尔（中国）股份有限公司做“5G通信关键技术及其在工业物联网中的应用”邀请学术报告, 2019

【发明专利】

• 刘思聪，唐潇；一种基于深度强化学习的稀疏感知大规模随机接入方法；中国发明专利，202310902345.5；已公开。

• 刘思聪，苏丹萍；一种基于机器学习方式的室内可见光定位方法；中国发明专利，202210866116.8；已授权。

• 刘思聪，高龙杰；一种基于深度学习的稀疏水声信道估计方法；中国发明专利，202011361757.5；已授权。

• 刘思聪，黄潇；一种基于深度卷积神经网络的大规模多天线信道估计方法；中国发明专利，202010413758.3；已授权。

•杨昉，刘思聪，张超，宋健，王劲涛; 一种基于压缩感知的冲激噪声估计与消除方法及装置；发明专利，201410140839.5；已授权。

•杨昉，刘思聪，宋健，潘长勇; 一种基于压缩感知的窄带干扰估计和消除方法及装置；发明专利，201410006974.0；已授权。

• 杨昉，刘思聪，宋健，阳辉，牛志升；用于正交频分复用通信的交织方法及装置；中国发明专利，201310153729.8；已授权。

•杨昉，刘思聪，宋健，潘长勇; 基于先验信息辅助的压缩感知窄带干扰估计方法及装置;发明专利，201310395712.3；已授权。

•杨昉，刘思聪，潘长勇，宋健; 数字通信系统中的帧同步序列生成方法及装置；发明专利，201310037606.8；已授权。

•杨昉，刘思聪，宋健，彭克武; 电力线通信系统中基于 OFDM 的多频组网方法及装置；发明专利，201310395712.3；已授权。

• 杨昉，高俊男，刘思聪，宋健，陆建华；冲激噪声消除方法及装置；中国发明专利，201510201105.8；已授权。