XIAOXIAO WU
Shenzhen University
Email: xxwu.eesissi@gmail.com
Office Tel: +86-755-2267-3321
INTEREST
?data mining and machine learning in social networks, decentralized algorithms for network security, subspace tracking algorithms
?signal processing, optimization, stochastic process, channel coding
?5G technologies including massive MIMO and dynamic resource allocation




TEACHING EXPERIENCE
?2019-2020 Spring term: Advanced Topics: Introduction to Blockchain and Applications, Shenzhen University
?2019-2020 Spring term: MDS5724 Introduction to Data Mining, The Chinese University of Hong Kong, Shenzhen.
?2018-2019 Summer term: MDS5724 Introduction to Data Mining, The Chinese University of Hong Kong, Shenzhen.
?2018-2019 Spring term: Advanced Topics: Introduction to Data Mining, Shenzhen University
?2018-2019 Spring term: Data Mining Techniques in Social Networks, Shenzhen University
?2018-2019 Fall term: Linear Algebra, Shenzhen University
?2017-2018 Spring term: Data Mining Techniques in Social Networks, Shenzhen University
?2017-2018 Fall term: Linear Algebra, Shenzhen University
ACADEMIC QUALIFICATIONS & PROJECT EXPERIENCE
Assistant Professor 03/2017-now
Shenzhen University, China
Research interests include
? data mining, machine learning in social networks
? decentralized algorithms for network security
? 5G technology including massive MIMO and dynamical resource allocation
Postdoc Fellow 12/2015-03/2017
School of Electrical, Computer, and Energy Engineering and the Ira A. Fulton Schools of Engineering, Arizona State University, United States
Contact: Prof. Anna Scaglione (Anna.Scaglione@asu.edu)Research interests include
? data mining, machine learning and modeling opinion diffusion in social networks
? decentralized algorithms for network security
Postdoc Fellow 12/2013-11/2015
Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong
Contact: Prof. Anthony Man-Cho So (manchoso@se.cuhk.edu.hk)
Research interests include
? semidefinite relaxation techniques
? polynomial optimization
? chance-constrained problems
? optimization for cognitive network and relay network
PhD 09/2009-11/2013
Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong
Thesis Supervisor: Prof. Wing-Kin Ma (wkma@ee.cuhk.edu.hk)
Research interests include
? transmit beamforming design
? space-time coding
? robust beamforming design
MPhil 01/2008-08/2009
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong
Thesis Supervisor: Prof. Wai-Ho Mow (eewhmow@ust.hk)
Research interests include
? space-time coding, modern modulation and channel coding techniques, i.e., LDPC code and turbo code
? Tree search algorithms
FUND
1. The National Natural Science Foundation of China Youth Project, **, Project Name: Social Network Data Mining Theory and Applied Research Based on the Principles of Opinion Communication, 2019/01-2020/12, Project Amount: 250,000 (RMB), PI
2. Shenzhen Basic Research Project, JCYJ20**9906, Project Name: Social Network "Public Opinion-oriented" Research and Application of Big Data Mining Technology, 2019/03-2021/12, Project Amount: 500,000 (RMB), PI
3. Shenzhen University PhD start-up fund, , project name: Social Network "Opinion Leader" Mining and User Mutual Trust Relationship Research and Application, 2019/01-2023/12, Project Amount: 200,000 (RMB), PI.
4. Application Foundation and Application Technology Research, , Project Name: Social Network Data Mining Research and Application, 2019/01-2021/12, Project Amount: 2.7 million (RMB), PI.
PUBLICATIONS




Journal Papers
1. 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
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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, May 2017.
8. 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.
9. 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. 23no. 7, pp. 939-943, July 2016. (corresponding author).
10. 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.
11. 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.
12. 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.
13. 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.




Technical Report
14. 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.
15. 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.




Conference Paper
16. 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.
17. 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
18. 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
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.