BIMSA > Guo Qing Hu
Professor Guo Qing Hu

Group: Statistics, Probability and Data Science

Office: A15-206

Email: drhu@bimsa.cn

Research Field: 4G/5G Wireless Communication, Neural Network, Artificial Intelligence, Biomathematics, Big Data, Machine Learning, Blockchain

Webpage: https://bimsa.net/people/drhu

Biography

After graduating with a PhD, he mainly worked in the field of wireless communications. He has worked in Lucent, Alcatel-Lucent, and Nokia as a senior engineer. He has 23 years of rich knowledge and experience in the field of wireless communications. Currently he is a research fellow of Beijing Institute of Mathematical Sciences and Applications (BIMSA) engaged in research on 4G/5G Wireless Communication, Biomathematics, Neural Network, Artificial Intelligence, Big Data, Machine Learning, nonlinear filter.

Education Experience

  • 1980 - 1984      西安交通大学      计算数学      Bachelor
  • 1984 - 1987      西安交通大学      计算数学      Master      (Supervisor: 李开泰，黄艾香)
  • 1994 - 1997      University of Illinois at Chicago      Computer Science      Ph.D      (Supervisor: StephenS.-T.Yau)

Work Experience

  • 1987 - 1993      Xian JiaoTong University西安交通大学      Lecturer
  • 1993 - 1994      The Chinese University of Hong Kong      Research Assistant
  • 1997 - 2000      Morningstar,United Chambers,Beta Systems      Software Engineer
  • 2000 - 2016      Lucent/Alcatel-Lucent 朗讯/阿尔卡特朗讯      Senior Software Engineer
  • 2016 - 2023      Nokia 诺基亚      4G/5G Senior Wireless Engineer
  • 2023 -      北京雁栖湖应用数学研究院      Research Fellow

Publication

  • [1] S. S.-T. YAU; G.-Q. HU, Classification of finite-dimensional estimation algebras of maximal rank with arbitrary state–space dimension and mitter conjecture, International Journal of Control, 78(2005), 10, 689-705
  • [2] Xi Wu; Stephen S. -T. Yau; Guo-Qing Hu, Finite-dimensional filters with nonlinear drift XII: Linear and constant structure of WongMatrix , Stochastic Theory and Control, Proceedings of Workshop held in Lawrence, Kansas, Lecture Notes in Control and Information Sciences #280, SpringerVerlag, B. Pasik-Duncan<Ed> ( 2002 ), 507-518, 280(2002), 507-518
  • [3] GUO-QING HU; STEPHEN S.-T. YAU, Finite-dimensional filters with nonlinear drift XV: New direct method for construction of universal finite-dimensional filter, IEEE Transactions on Aerospace and Electronic Systems, 38(2002), 01, 50-57
  • [4] Stephen S.-T. Yau; Guo-Qing Hu, Finite-dimensional filters with nonlinear drift X: Explicit Solution of DMZ Equation , IEEE Transactions on Automatic Control, 46(2001), 01, 142-148
  • [5] GUO-QING HU; STEPHEN S. T. YAU; WEN-LIN CHIOU, FINITE-DIMENSIONAL FILTERS WITH NONLINEAR DRIFT XIII: CLASSIFICATION OF FINITE-DIMENSIONAL ESTIMATION ALGEBRAS OF MAXIMAL RANK WITH STATE SPACE DIMENSION FIVE, Asian Journal of Math, 04(2000), 04, 905-932
  • [6] GUO-QING HU; STEPHEN S.-T. YAU, Recent results on classification of finite dimensional maximal rank estimation algebras with state space dimension up to 5, Proceedings of the 37th IEEE Conference on Decision and Control, Dec.16-18, Tampa, FL, (1998), (1998), 1311-1313
  • [7] GUO-QING HU, Forest build tree algorithm for multiple destinations, IEEE Potentials(1998), 13-16
  • [8] GUO-QING HU; STEPHEN S.-T. YAU, Explicit solution of DMZ equation , Proceedings of the 36th IEEE Conference on Decision and Control, San Diego, California, Dec.(1997), (1997), 4455-4459
  • [9] Guo, Direct method without the Riccati equation for a linear filtering system with arbitrary initially conditions, 13th World Congress IFAC, San Francisco, June 30-July 5, Vol. H (1996), H(1996), 469-474
  • [10] Zong-Ben Xu; Guo-Qing Hu; Chung-Ping Kwong, Asymmetric Hopfield-type networks: Theory and Applications, Neural Networks, 9(1996), 3, 483-501
  • [11] Zong-Ben Xu; Guo-Qing Hu; Chung-Ping Kwong, Some efficient strategies for improving the eigenstructure method in synthesis of feedback neural networks, IEEE Trans. Neural Networks, 7(1996), 1, 233-245
  • [12] GUO-QING HU; STEPHEN S.-T. YAU, New direct method for Yau filtering system with arbitrary initial conditions , Proceedings of the 35th Conference on Decision and Control, Kobe, Japan (1996), 2539-2544
  • [13] Hu, G.-Q.; Kwong, C.-P.; Xu, Z.-B., Two iterative encoding schemes for bidirectional associative memory, International Symposium on Speech, Image Processing and Neural Networks(1994), 93-96
  • [14] 胡国庆， 李开泰, The study of Simple High Order Sigularity Points of Bifurcation Problem, Journal of Mathematics and Physics (China), 5(1994)
  • [15] 胡国庆, The extended System – An efficient Method to Deal with Bifurcation Problems, Computational Mathematics (China), 12(1990), 04, 337-343

 

Update Time: 2025-05-20 15:34:25