王正

发布者:沈如达发布时间:2021-06-18浏览次数:983



王正,副教授、硕士生导师

办公室:无线谷A5-415房间

办公电话:

Email: zheng_wang@seu.edu.cn



学习经历:


20059- 20096月   南京航空航天大学      学士

20099- 20109月   曼彻斯特大学(英国)  硕士

201012- 20155月  帝国理工学院(英国)  博士



工作经历:


20154月 – 20166月   帝国理工学院(英国)  博士后研究员

20166月 – 20178月   华为技术有限公司      高级研发工程师

20179月 – 20214月   南京航空航天大学      讲师,副教授

20215月 – 至今          东南大学             副教授



研究方向:


智能高维信号与信息处理,大规模MIMO无线通信,机器学习与数理统计,信息论及其应用



获奖情况:


2018江苏省双创博士



论文著作:


代表性期刊:

  1. Zheng Wang* and Cong Ling, “Lattice Gaussian sampling by Markov chain Monte Carlo: Bounded distance decoding and trapdoor sampling,” IEEE Transactions on Information Theory, vol. 65, no. 6, pp. 3630-3645, June, 2019.

  2. Zheng Wang* and Cong Ling, “On the geometric ergodicity of Metropolis-Hastings algorithms for lattice Gaussian sampling,” IEEE Transactions on Information Theory, vol. 64, no. 2, pp. 738-751, Feb, 2018.

  3. Zheng Wang*, Shuiyin Liu and Cong Ling, “Decoding by sampling part II: Derandomization and soft-output decoding,” IEEE Transactions on Communications, vol. 61, no. 11, pp. 4630-4639, Nov, 2013.

  4. Zheng Wang*, Yang Huang and Shanxiang Lyu, “Lattice-Reduction-Aided Gibbs Algorithm for Lattice Gaussian Sampling: Convergence Enhancement and Decoding Optimization,” IEEE Transactions on Signal Processing, vol. 67, no. 16, pp. 4342-4356, Aug, 2019.

  5. Zheng Wang*, “Markov chain Monte Carlo Methods for Lattice Gaussian Sampling: Convergence Analysis and Enhancement,” IEEE Transactions on Communications, vol. 67, no. 16, pp. 6711-6724, Oct, 2019.

  6. Zheng Wang*, Shanxiang Lyu, Yili Xia and Qihui Wu, “Expectation Propagation-based Sampling Decoding: Enhancement and Optimization,” IEEE Transactions on Signal Processing, vol. 69, pp. 195-209, 2021.

  7. Zheng Wang*, L. Liu and C. Ling, “Sliced Lattice Gaussian Sampling: Convergence Improvement and Decoding Optimization”, IEEE Transactions on Communications, vol. 69, no. 4, pp. 2599-2612, April 2021.

  8. Zheng Wang*, Ling Liu and Kezhi Li, “Dynamic Markov Chain Monte Carlo-Based Spectrum Sensing,” IEEE Signal Processing Letter, vol.27, pp. 1380-1384, July, 2020. 

  9. Zheng Wang*, X. Xu, X. Qiang and K. Li, Learning Vector Quantization-Aided Detection for MIMO Systems, IEEE Communications Letter, vol. 25, no. 3, pp. 874-878, March 2021.


代表性会议:

  1. Zheng Wang* and Cong Ling, “On the geometric ergodicity of Gibbs algorithm for lattice Gaussian sampling,” in Proc. IEEE Information Theory WorkshopITW, pp. 269-273, Kaohsiung, Taiwan, Nev. 2017.

  2. Zheng Wang* and Cong Ling, “Symmetric Metropolis-within-Gibbs algorithm for lattice Gaussian sampling,” in Proc. IEEE Information Theory Workshop, ITW, pp.394-398, Cambridge, UK, Sept, 2016.

  3. Zheng Wang* and Cong Ling, “Further results on independent Metropolis-Hastings-Klein sampling,” in Proc. IEEE International Symposium on Information Theory, ISIT, pp. 1924-1928, Barcelona, Spain, Jun. 2016.

  4. Zheng Wang* and Cong Ling, “Independent Metropolis-Hastings-Klein algorithm for lattice Gaussian sampling,” in Proc. IEEE International Symposium on Information Theory, ISIT, pp.2470-2474, Hong Kong, China, Jun. 2015.

  5. Zheng Wang*, Guillaume Hanrot and Cong Ling, “Markov chain Monte Carlo algorithms for lattice Gaussian sampling,” in Proc. IEEE International Symposium on Information Theory, ISIT, pp. 1489-1493, Honolulu, USA, Jun. 2014.

  6. Zheng Wang* and Cong Ling, “Derandomized sampling algorithm for lattice decoding,” in Proc. IEEE Information Theory Workshop, ITW, pp. 222-226, Lausanne, Swiss, Sep. 2012.

  7. Zheng Wang* and Cong Ling, “Slice Sampling for lattice Gaussian distribution,” in Proc. IEEE International Symposium on Information Theory, ISIT, Paris, France, July, 2019.



科研项目


基于格点高斯采样的大规模MIMO检测方法与理论研究

国家自然科学基金青年项目

应用基础研究

2019.01-2021.12

29.2



大规模MIMO系统中基于采样的信号检测方法研究

江苏省自然科学基金青年项目

应用基础研究

2018.07-2021.06

20




发明专利


201810845457.0

一种基于无人机的异构频谱网络三维频谱感知方法

发明专利授权


201811112326.8

基于双层网络编码的高能效协作中继网络传输方法

发明专利授权