王骄 - 东北大学 - 信息科学与工程学院

个人简介

教育经历 2001.9-2004.3 东北大学信息科学与工程学院，生物医学工程，硕士学位 2004.3-2006.9 东北大学信息科学与工程学院，模式识别与智能系统，博士学位工作经历 2006.9-2010.12 东北大学信息科学与工程学院讲师 2007.1-2008.1 微软亚洲研究院访问学者 2011.1-2015.12 东北大学信息科学与工程学院副教授/副所长 2016.1-至今东北大学信息科学与工程学院教授/所长

研究领域

1.人工智能决策方法。研究军事领域、机器人、无人驾驶等复杂环境下的智能决策。 2.深度学习。机器博弈、图像、视觉、语音等方面的深度神经网络设计与理论研究。 3.机器博弈。结合深度神经网络，研究围棋（AlphaGo LEE，AlphaGoZero），德州扑克，桥牌等问题的求解理论与方法。 4.硬件计算。利用FPGA、DSP等硬件计算平台，研究视觉、深度图像、深度神经网络的加速。 5.嵌入式技术。基于嵌入式平台和硬件电路设计，研究智能设备的相关技术。 6.机器人。研究新型工业机器人，新型服务机器人，以及定位与导航、目标跟踪、智能规划等机器人相关理论与方法

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1.Jiao Wang,Lemin Zhang, ZhiQiang He. Erlang planning network: An iterative model-based reinforcement learning with multi-perspective. Pattern Recognition. 2022. 2.Zi-Yang Wu*, Muhammad Ismail, Erchin Serpedin, Jiao Wang. ArtificialIntelligence for Smart Resource Management in Multi-User Mobile Heterogeneous RF-Light Networks. IEEЕ Wireless Communications. 3.Zi-Yang Wu*, Muhammad Ismail, Erchin Serpedin, Jiao Wang. EfficientPrediction of Link Outage in Mobile Optical Wireless Communications. IEEETransactions on Wireless Communications, 2021, 20(2) : 882 -896. 4.Zi-Yang Wu*, Muhammad Ismail, Justin Kong, Erchin Serpedin, Jiao Wang. Channel Characterization and Realization of Mobile Optical WirelessCommunications. IEEE Transactions on Communications, 2020, 68(10): 6426-6439. 5.Zi-Yang Wu* , Muhammad Ismail, Erchin Serpedin, Jiao Wang. Data- -DrivenLink Assignment With QoS Guarantee in Mobile RF-Optical HetNet of Things. IEEЕInternet of Things Journal, 2020, 7(6): 5088- -5102. 6.Jiao Wang, T. Zhu, H. Li, C. H. Hsueh and I. C. Wu. Belief-state Monte-Carlo Tree Search for Phantom Go. IEEE Transactions on Games，vol. 10, no. 2，pp. 139-154, July, 2018. 7.Z. Wu, Y. Gao, J. Wang, X. Liu and Jiao Wang*. A Linear Current Driver for Efficient Illuminations and Visible Light Communications, IEEE/OSA Journal of Lightwave Technology，vol. 36, no. 18，pp. 3959-3969，September，2018. 8.Yu-Liang Gao, Zi-Yang Wu, Ze-Kun Wang and Jiao Wang*. A 1.34 Gb/s Real-time Li-Fi Transceiver with DFT-Spread-based PAPR Mitigation. IEEE Photonics Technology Letters. vol. 30, no. 16，pp. 1447-1450，August，2018. 9.Zi-Yang Wu, Xiao-Yu Liu, Jiang-Shan Wang and Jiao Wang*, “Modulation-index-dependence of Intensity Modulation Bandwidth in Visible Light Communications,” Optics Letters 43(19), pp. 4570-4573, 2018. 10.Yu-Liang Gao, Zi-Yang Wu and Jiao Wang*, “Convolution Neural Network Based Time-Domain Equalizer for DFT-Spread OFDM VLC System,” Optics Communication, Accepted, 2018. 11.Zhen-Ni Li, Yu-Liang Gao, Ze-kun Wang and Jiao Wang*, A One-Shot FPGA based Depth Acquisition System. IEEE Access, DOI: 10.1109/ACCESS.2018.2870672，Early Access, 2018. 12.Jiao Wang, C. Xiao, T. Zhu, C. H. Hsueh, W. J. Tseng and I. C. Wu. Only-One-Victor Pattern Learning in Computer Go. IEEE Transactions on Computational Intelligence and AI in Games. vol. 9，no. 1，pp. 88-102，March，2017. 13.Zi-Yang Wu , Yu-Liang Gao, Ze-Kun Wang, Chuan You, Chuang Yang, Chong Luo, Jiao Wang*. Optimized DFT-spread OFDM based visible light communications with multiple lighting sources. Optics Express, Vol. 25 No. 22, pp. 26468-26482, 2017. 14.Jiao Wang, Z. Xiong, Z. Wang, Y. Zhang and F. Wu. FPGA Design and Implementation of Kinect-Like Depth Sensing. IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 6, pp. 1175-1186, June，2016. 15.Jiao Wang, Si-Zhong Li, Xin-he Xu. A Minors Hash Table in Chinese-chess Programs. ICGA Journal. vlo.33, no.1. 2010. 16.Jiao Wang, T. Zhu, H. Li, C. H. Hsueh and I. C. Wu. Belief-state Monte-Carlo tree search for Phantom games. IEEE Conference on Computational Intelligence and Games (CIG), Tainan，pp. 267-274, 2015. 17.C Xiao，T Zhu，C Lin，X Xu, Jiao Wang*. Applying Determinized MCTS in Chinese Military Chess. IEEE Control and Decision Conference, pp. 3941-3946, 2014. 18.Jiao Wang, Fang Cheng, Jiangshan Wang, Guobin Shen, Xiaofan Jiang. Genius-on-the-Go: FM Radio Proximity Sensing and Audio Information Sharing. ACM Sensys 12. 2012. 19.Jiao Wang, Shiyuan Li, Jitong Chen, Xin Wei, Huizhan Lv, Xinhe Xu. 4*4-Pattern and Bayesian Learning in Monte-Carlo Go. Advances in Computer Games. pp. 108-120. 2011.