吴晓晓

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个人详情


研究方向: 

社交网络中的数据挖掘算法,社群发现、热点发现、特定兴趣人群挖掘、关系链预测

信号处理, 5G通信网络关键技术,网络安全分布式算法



教学经验

2019-2020 春季: 前沿技术讲座: 区块链基础与应用, 深圳大学

2018-2019 春季: 前沿技术讲座: 数据挖掘, 深圳大学

2018-2019 春季: 社交网络中的数据挖掘, 深圳大学

2018-2019 秋季: 线性代数, 深圳大学

2017-2018 春季: 社交网络中的数据挖掘, 深圳大学

2017-2018 秋季: 线性代数, 深圳大学



基金项目

广东省面上项目,项目名称:针对物联网多智能体分布式算法的恶意入侵行为的检测与定位研究,2021/01-2023/12,项目金额:10万(RMB),在研,主持

深圳市高层次人才项目,社交网络数据挖掘研究与应用 2019.01-2021.12,项目金额:270万(RMB),在研,主持

深圳大学博士启动资金,项目名称:社交网络“意见领袖”挖掘和用户互信关系研究与应用,2018/01-2019/12,项目金额:20万(RMB),在研,主持

国家自然科学基金青年项目,项目名称:基于意见传播原理的社交网络数据挖掘理论和应用研究,2018/01-2020/12,项目金额:25万(RMB),在研,结题

深圳市基础研究项目,项目名称:社交网络“舆论导向”的大数据挖掘技术研究和应用,2019/03-2021/03,项目金额:50万(RMB),在研,结题





主要论文著作

期刊论文

S. X. Wu, Z. Wu, S. Chen, G. Li   and S. Zhang, “Community Detection in Blockchain Social Networks,” in Journal   of Communications and Information Networks, vol. 6, no. 1, pp. 59-71, March   2021

Q. Li, S.   X. Wu, S. Wang and J. Lin, “Joint Uplink/Downlink Discrete Sum Rate   Maximization for Full-Duplex Multicell Heterogeneous Networks,” IEEE Transactions on TVT, vol.69,   no.3, pp.2758-2770, 2020

G. Li, S.   X. Wu, S. Zhang, and Q. Li, "Neural Networks-Aided Insider Attack   Detection for the Average Consensus Algorithm," IEEE Access, vol. 8, pp. 51871-51883, 2020.

黄豪杰,吴晓晓,李刚强,“基于区块链智能合约的物联网恶意节点检测和定位”,物联网学报,vol.2, no.4,   2020.

S. X. Wu,   H.-T, Wai, L, Lin and A.   Scaglione, “A review of   distributed algorithms for principal component analysis,” Proceedings of the IEEE, vol.106, no.8, pp. 1321-1340, Aug., 2018.

S. X. Wu,   H.-T, Wai and A.   Scaglione, “Estimating   social opinion dynamics models from voting records,” IEEE Transactions on Signal Processing, vol.66, no.16, pp. 4193-4206,   Apr., 2018.

Q, Li, Ying   Zhang and S. X. Wu, “Full-duplex bidirectional secure communications   under perfect and distributionally ambiguous eavesdropper's CSI.”   IEEE Transactions on Signal Processing,   vol. 65, no. 17, pp. 4684-4689, Spet. 2017.

S. Gong, S. X. Wu, and A. M-C. So, “Robust   relay beamforming in device-to-device networks with uncertain channel   information: a unimodal approach,” IEEE Transactions on Wireless   Communications, vol. 16, no. 8, pp. 5048-5060, Aug, 2017.

S. X. Wu,   A. M.-C. So, J. Pan and W.-K.   Ma, “Semidefinite   relaxation and approximation analysis of a beamformed Alamouti scheme for   relay beamforming networks,” IEEE Transactions on Signal Processing,   vol. 65, no. 9, pp. 2428-2443, 2017.

R. Gentz, S. X. Wu, H.-T. Wai, A. Scaglione and   A. Leshem, “Data injection attacks in randomized gossiping,” in IEEE Transactions on Signal and   Information Processing over Networks, vol. 2, no. 4, pp. 523-538, Dec. 2016.

M.-C. Yue, S. X. Wu and A. M.-C. So, “A robust   design for MISO physical-layer multicasting over line-of-sight channels,” in IEEE Signal Processing Letters,   vol. 23, no. 7, pp. 939-943, July 2016. (corresponding author).

S. X. Wu, Q. Li,   A. M.-C. So and W.-K.   Ma, "A stochastic beamformed amplify-and-forward scheme in a multigroup   multicast MIMO relay network with per-antenna power constraints," in IEEE   Transactions on Wireless Communications, vol. 15, no. 7, pp. 4973-4986, July   2016.

S. X. Wu, Q. Li, A.   M.-C. So and W.-K.   Ma, “Rank-two   beamforming and stochastic beamforming for multiuser MISO downlink   multicasting with finite-alphabet inputs,” IEEE Signal Processing Letters, vol. 22,   no. 10, pp. 1614-1618, Oct 2015.

S. X. Wu,   W.-K. Ma, and A. M.-C. So, “Physical-layer multicasting by stochastic   transmit beamforming and Alamouti space-time coding,” IEEE   Transactions on Signal Processing,   vol. 61, no. 17, pp. 4230-4245, Sep 2013.












   彭立,朱光喜,吴晓晓. 基于等差数列的LDPC码编码器设计. 电子学报,2007,35(5):950-954.


科技报告

S. X. Wu, A. M.-C. So, J. Pan and W.-K. Ma, “Some proof derivations and further simulation results for “Semidefinite relaxation and approximation analysis of a beamformed Alamouti scheme for relay beamforming networks”,” a companion technical report accessed by http://arxiv.org/abs/1602.06500. 16.

S. X. Wu, W.-K. Ma, and A. M.-C. So, “Achievable rate derivations and further simulation results for "Physical-layer multicasting by stochastic transmit beamforming and Alamouti space-time coding",”a companion technical report accessed by http://arxiv.org/pdf/1305.2123.pdf.


会议论文

S. X. Wu, Z. Wu, W. Zhu, X. Yang and Y. Li, “Mining Trajectory Patterns with Point-of-Interest and Behavior-of-Interest,” IEEE ICC'21 Workshop - COVI-COM, 2021.

G. Li, S. X. Wu, S. Zhang and Q. Li, “Detect insider attacks using CNN in Decentralized Optimization,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.

S. X. Wu, Y. Luo and H. Wang, “Some New Results on Stochastic Beamforming Schemes”, in Proceedings of IEEE International Conference on Communication Technology (ICCT), 2019

G. Li, S. X. Wu, S. Zhang, H.-T, Wai and A. Scaglione, “Detecting and Localizing Adversarial Nodes Using Neural Network,” in Proceedings of IEEE SPAWC, Kalamata, Greece, June, 2018

S. X. Wu, H.-T, Wai and A. Scaglione, “Data Injection Attack on Decentralized Optimization,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Alberta, Canada,Apr., 2018.

S. X. Wu, H.-T, Wai and A. Scaglione, “The Power-Oja Method for Decentralized Subspace Estimation/Tracking,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, Apr., 2017.

S. X. Wu, M.-C. Yue, A. M.-C. So and W.-K. Ma, “SDR approximation bounds for the robust multicast beamforming problem with interference temperature constraints,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017.

S. X. Wu, H.-T, Wai and A. Scaglione, “Data mining the underlying trust in the US congress,” in the Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing (GLOBESIP2016), 2016.

S. Gong, S. X. Wu, A. M.-C. So and X. Huang, “Distributionally robust relay beamforming in wireless communications,” in the Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2016), 2016.

S. Gong, Y, Shen, X. Huang, S. X. Wu and A. M.-C. So, “Robust relay beamforming in device-to-device networks with energy harvesting constraints,” in the Proceedings of the 2016 IEEE Global Communications Conference (GLOBECOM 2016), 2016.

Y. Zhang, Q. Li, J. Lin and S. X. Wu, “Robust secrecy rate optimization for full-duplex bidirectional communications,” in the Proceedings of the 2016 IEEE Global Communications Conference (GLOBECOM 2016), 2016.

S. X. Wu, X. Ni, and A. M.-C. So, “A polynomial optimization approach for the robust beamforming design in a device-to-device two-hop one-way relay network,” in 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, 2016, pp. 3841-3845.

S. X. Wu, Q. Li, W.-K. Ma and A. M.-C. So, “Stochastic amplify-and-forward schemes for multigroup multicast transmission in a distributed relay network,” in Proceedings of IEEE SPAWC, 2015.

S. X. Wu, A. M.-C. So and W.-K. Ma, “A beamformed Alamouti amplify-and-forward scheme in multigroup multicast cloud-relay networks,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015.

S. X. Wu, Q. Li, W.-K. Ma and A. M.-C. So, “Robust transmit designs for an energy harvesting multicast system,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014.

S. Ji, S. X. Wu, A. M.-C. So and W.-K. Ma, “Multi-group multicast beamforming in cognitive radio networks via rank-two transmit beamformed Alamouti space-time coding,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 4409-4413, 2013.

S. X. Wu, A. M.-C. So and W.-K. Ma, “Rank-two transmit beamformed Alamouti space-time coding for physical-layer multicasting,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2793–2796, 2012.

S. X. Wu and W.-K. Ma, “Multicast transmit beamforming using a randomize-in-time strategy,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3376–3379, 2011.

S. X. Wu and W.-H Mow, “Constructing rate-compatible LDPC codes with a novel efficient ranking criterion,” in Proceedings of the IEEE Wireless Communications & Networking Conference (WCNC), Sydney, Australia, 18-21 April 2010.

S. X. Wu and W.-H Mow, "Efficient ranking of rate-compatible puncturing patterns for a given LDPC code matrix," in Proceedings of the IEEE Global Telecommunications Conference (GlOBECOM 2009), Honolulu, Hawaii, USA, Nov 30 – Dec 4, 2009.