王滔滔,特聘副研究员,助理教授,硕士导师,博士后合作导师(Dr. Taotao Wang, Assistant Professor)。

王滔滔博士分别于2015,2008,2004 年分别获得香港中文大学信息工程系博士、北京邮电大学信号与信息处理专业硕士和电子科技大学电子信息工程专业学士学位。于2015-2016年在香港中文大学网络编码研究所作博士后研究员。于2016年开始在深圳大学信息工程学院担任助理教授。主要研究领域为区块链系统的网络安全,智能信号与数据处理,无线网络与通信。在IEEE Trans.、ICC、ICASSP、中国科学等国内外重要学术期刊和会议上发表论文30余篇,申请并已获得授权的国家发明专利数项,美国专利1项。 

王滔滔长期担任《IEEE J. Sel. Areas Communications》、《IEEE Trans Wireless Communications》、《IEEE Trans. Vehicular Technology》、《IEEE Wireless Communications Letters》等国际权威刊物和IEEE ICASSP、IEEE ICC、IEEE WCNC等重要会议的审稿人,曾担任IEEE CIC ICC 2019、IEEE ICCC 2020技术委员会成员。 

王滔滔2011年获得香港政府博士奖学金计划(Hong Kong PhD Fellowship Scheme)。2012年获得微软亚洲研究院明日之星奖。2016年获得SCI期刊IEEE Wireless Commun. Letters优秀审稿人奖。2016入选深圳市海外高层次人才(孔雀计划项目)。最近,主要研究工作集中在智能无线网络的理论与开发方面。具体的,作为唯一的亚洲入围参赛队伍成员,目前正在参加美国国防部先进技术研究局(DARPA)举办的频谱协作挑战赛(SC2)。


更多个人最新消息请参考个人主页: https://postman511.github.io/


  • 研究方向:无线网络与通信;深度强化学习与机器学习;区块链技术;星际文件存储系统(IPFS)。

  • Research Interests: Wireless Communications and Networking,Deep Reinforcement Learning, Blockchain,IPFS.  

  • Postdoctoral researcher recruitment(always effective): salary at least 320K RMB/year; reserach topic: deep learning for wireless 



  • 部分研究论文

  • 区块链技术 Blockchain: 

[3]Taotao Wang, Soung Chang Liew, and Shengli Zhang, “When Blockchain Meets AI: Optimal Mining Strategy Achieved By Machine Learning,” arXiv preprint, arXiv:1911.12942, pp. 1-11, Dec., 2019. 

[2]Taotao Wang, Xiaoqian Bai, Hao Wang, Soung Chang Liew, Shengli Zhang, “Game-Theoretic Analysis of Mining Strategy in Bitcoin-NG Blockchain Protocol,” arXiv preprint, arXiv:1911.00900, pp. 1-10, Nov., 2019.

[1]Taotao Wang, Soung Chang Liew, and Shengli Zhang, “PubChain: A Decentralized Open-Access Publication Platform with Participants Incentivized by Blockchain Technology,” arXiv preprint, arXiv: 1910.00580, pp. 1-11, Oct., 2019. 


  • 人工智能与机器学习 AI and Machine Learning:

[6]Mohamed Elwekeil, Taotao Wang*, and Shengli Zhang,“Deep Learning for Environment Identification in Vehicular Networks,”IEEE Wireless Commnunication Letters,Dec.,2019. 

[5]Taotao Wang, Lihao Zhang, Soung Chang Liew, “Deep Learning for Joint MIMO Detection and Channel Decoding,” IEEE PIMRC 2019.

[4]Yulin Shao,Soung Chang Liew, Taotao Wang, “AlphaSeq: Sequence Discovery with Deep Reinforcement Learning,” IEEE Trans. Neural Netw. Learn. Syst., Sept., 2019.

[3]Yiding Yu, Taotao Wang, Soung Chang Liew, “Deep-Reinforcement Learning Multiple Access for Heterogeneous Wireless Networks,” IEEE J. Sel. Area Comm., vol.37, no.6, pp. 1277-1290, Jun., 2019.

[2]Mohamed Elwekeil, Taotao Wang*, and Shengli Zhang,“Deep Learning for Joint Adaptations of Transmission Rate and Payload Length in Vehicular Networks,” Sensors, Mar., 2019. 

[1]Mohamed Elwekeil, Shibao Jiang, Taotao Wang*, and Shengli Zhang,“Deep Convolutional Neural Networks for Link Adaptations in MIMO-OFDM Wireless Systems,” IEEE Wireless Commnunication Letters,vol.8, no.3, Jun. 2019. 


  • 无线通信与网络 Wireless Communications and Networking:

[13]Taotao Wang, Long Shi, Kui Cai, Lining Tian, and Shengli Zhang, “Non-Coherent NOMA With Massive MIMO,” IEEE Wireless Commnunication Letters, Sept., 2019.

[12]Taotao Wang,Long Shi, Shengli Zhang, Hui Wang, “Gaussian Mixture Message Passing for Blind Known Interference Cancellation,” IEEE Trans. Wireless Commun., vol. 18, no. 9, pp. 4268-4282, Jun., 2019.

[11]Shengli Zhang, Chongtao Guo, Taotao Wang*, Wei Zhang, “ON-OFF Analog Beamforming for Massive MIMO,” IEEE Trans. Veh. Tech., vol. 67, no. 5, pp. 4113-4123, May, 2018. 

[10]Taotao Wang, Soung Chang Liew, Long Shi, “Optimal Rate-Diverse Wireless Network Coding,” IEEE Trans. Commun., vol. 65, no. 6, pp. 2411-2426, Jun., 2017.

[9]Taotao Wang, Qing Yang, Kun Tan, Jiansong Zhang, Shengli Zhang, Soung Chang Liew, “DCAP: Improving the Capacity of WiFi Networks with Distributed Cooperative Access Points,” IEEE Trans. Mobile Compt., vol. 17, no.2, pp. 320-333, Feb., 2018.

[8]Taotao Wang, Tiejun Lv, Hui Gao, Shengli Zhang, “Joint Multiple Symbol Differential Detection and Channel Decoding for Noncoherent UWB Impulse Radio by Belief Propagation,” IEEE Trans. Wireless Commun., vol. 16, no. 1, pp. 293-306, Jan, 2017.

[7]Taotao Wang, Soung Chang Liew, “Frequency-Asynchronous Multiuser Joint Channel-Parameter Estimation, CFO Compensation and Channel Decoding,” IEEE Trans. Veh. Tech., vol. 65, no. 12, pp. 9732-9746, Dec. 2016.

[6]Taotao Wang, Soung Chang Liew,“Joint Channel Estimation and Channel Decoding in Physical-Layer Network Coding Systems: An EM-BP Factor Graph Framework,” IEEE Trans. Wireless Commun., vol. 13, no. 4, pp. 2229-2245, Apr. 2014.

[5]Taotao Wang, Tiejun Lv, Hui Gao, Yueming Lu, “BER Analysis of Decision-Feedback Multiple Symbol Detection in Noncoherent MIMO Ultra-Wideband Systems,” IEEE Trans. Veh. Tech., vol. 62, no. 9, pp. 4684-4690, Jun. 2013.

[4]Lu Lu, Taotao Wang, Soung Chang Liew and Shengli Zhang, “Implementation of Physical-Layer Network Coding,” Elsevier Phys. Commun., vol. 6, pp. 74-87, Mar. 2013.

[3]Tiejun Lv, Taotao Wang, Hui Gao, “Decision-feedback Multiple Symbol Detection for Differential Space-time Block Coded UWB Systems,” SCIENCE CHINA Information Sciences, 56(4): 1-10 (2013).

[2]Taotao Wang, Tiejun Lv, and Hui Gao, “Sphere Decoding Based Multiple Symbol Detection for Differential Space-Time Block Coded Ultra-Wideband Systems,” IEEE Commun. Lett., vol.15, no.3, pp. 269-271, Mar. 2011.

[1]Taotao Wang, Tiejun Lv “Canceling Interferences for High Data Rate Time Reversal MIMO UWB system: A Precoding Approach,” Eurasip Journal on Wireless Communications and Networking, vol. 2011, pp. 1-10, 2011.



  • 主持的科研项目

  • 纵向项目:

广东省自然科学基金-博士启动,“物理层网络编码的迭代联合多参数估计、多参数补偿和信道解码研究”,2017A030310334, 10万,在研,主持。

国家自然科学基金-青年基金,“物理层网络编码的迭代信道失配校正与目标信号解码研究”, 61701311, 21万,2018.01-2020.12,在研,主持。

深圳市自由探索新项目,“物理层网络编码在智能电网中的应用”,JCYJ20170818095107583,50万,在研,主持。

深圳市海外高端人才科研启动项目,270万,在研,主持。

校级项目,“基于GNU Radio软件无线电的人体生命体征监测”,结题,主持。

校级项目,“基于区块链技术的去中心化征信数据系统”,在研,主持。

  • 横向项目:

“大数据区块链技术研究与开发”,元素征信,xx万。

“天基智能弹性组网与可信管控机制研究”,航天五院CAST基金,xx万。

“频谱协同仿真系统与SDR软件开发”,钱学森实验室国防科技创新特区项目,xx万。

 

  • 部分授权发明专利

[1]. 基于时间反转多天线系统的空时预均衡方法和设备,2013.11.27,中国,N201010572161

[2]. 多用户多输入多输出下行链路预编码方法及系统,2013.06.05,中国,N201010504800

[3]. Cooperative phase tracking in distributed multiple-input multiple-output system, US Patent Publication No.: US9295016 B2. (美国专利)


联系方式: ttwang@szu.edu.cn