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朱竞舸 Jingge Zhu, Dr ès sc. Department of Electrical and Electronic Engineering Office: EEE Building, Level 5, Room 5.7 Phone: +61390354708 Email: jingge.zhu at unimelb.edu.au |
I am currently looking for PhD students. I work on Information Theory, with applications to wireless communication systems, distributed computation systems and machine learning. Feel free to contact me if you are interested in doing a PhD at the University of Melbourne. A few project descriptions can be found here and here.
News
Invited talk at AusCTW 2019 (slides)
Teaching
I am teaching ELEN90052 Advanced Signal Processing in Semetser 1, 2019.
Biography
I am a Lecturer (
Assistant Professor in North America) in the Department of Electrical and Electronic Engineering at the University of Melbourne. Prior to joining Melbourne, I was a Postdoctoral Researcher at the University of California, Berkeley, working with Prof. Kannan Ramchandran from 2016 to 2018. I obtained my PhD from École Polytechnique Fédérale de Lausanne, advised by Prof. Michael Gastpar in 2016. I received my M.S. and B.E. degrees from Shanghai Jiao Tong University.
I also received a Dipl. -Ing. degree from Technische Universität Berlin.
Publications
Journal Papers
E. Sula, J. Zhu , A. Pastore, S. H. Lim, M. Gastpar, ‘‘Compute–Forward Multiple Access (CFMA): Practical Implementations", in IEEE Transactions on Communications, October 2018.
J. Zhu, S. H. Lim and M. Gastpar, ‘‘Communication versus Computation: Duality for multiple access channels and source coding", in IEEE Transactions on Information Theory, June 2018.
J. Zhu and M. Gastpar, ‘‘Gaussian Multiple Access via Compute-and-Forward", in IEEE Transactions on Information Theory, vol. 63, May 2017.
J. Zhu and M. Gastpar, ‘‘Lattice Codes for Many-to-One Interference Channels With and Without Cognitive Messages", in IEEE Transactions on Information Theory, vol. 61, March, 2015.
J. Zhu, J. Mo and M. Tao, ‘‘Cooperative Secret Communication with Artificial Noise in Symmetric Interference Channel", in IEEE Comm. Letters, vol. 14, no. 10, pp. 885-887, October 2010. (2013 IEEE Heinrich Hertz Award for Best Communications Letters)
Refereed Conference Papers
Y. Pu, J. Zhu, K. H. Johansson, K. Ramchandran and C. J. Tomlin, ‘‘Coded Control over Lossy Networks", American Control Conference, July, 2018.
J. Zhu, Y. Pu, V. Gupta, C. Tomlin and K. Ramchandran, ‘‘A Sequential Approximation Framework for Coded Distributed Optimization", 55th Annual Allerton Conference on Communication, Control, and Computing, Oct. 2017.
E. Sula, J. Zhu, A. Pastore, S. H. Lim and M. Gastpar, ‘‘Compute-Forward Multiple Access (CFMA) with nested LDPC codes", 2017 IEEE International Symposium on Information Theory (ISIT), Aachen, Germany, July, 2017.
J. Zhu, S. H. Lim and M. Gastpar, ‘‘On the Duality between Multiple-Access Codes and Computation Codes", Proceedings of the 2017 Workshop on Information Theory and Applications (ITA), San Diego, CA, Feb 12-17, 2017.
J. Zhu and M. Gastpar, ‘‘ Typical sumsets of lattice points", 50th Asilomar Conference on Signals, Systems and Computers, Asilomar, CA, USA, Dec. 2016.
J. Zhu and M. Gastpar, ‘‘ Typical sumsets of linear codes", 54th Annual Allerton Conference on Communication, Control, and Computing, Allerton, IL, USA, 2016
J. Zhu and M. Gastpar, ‘‘On Lattice Codes for Gaussian Interference Channels", 2015 IEEE International Symposium on Information Theory (ISIT), Hong Kong, China, 2015.
J. Zhu and M. Gastpar, ‘‘Compute-and-Forward using nested linear codes for the Gaussian MAC", IEEE Information Theory Workshop (ITW), Jerusalem, Israel, 2015.
J. Zhu and M. Gastpar, ‘‘Gaussian (dirty) multiple access channels: a compute-and-forward perspective", IEEE International Symposium on Information Theory (ISIT), Honolulu, USA, 2014.
J. Zhu and M. Gastpar, ‘‘Asymmetric Compute-and-Forward with CSIT". International Zurich Seminar on Communications (IZS), Zurich, Switzerland, 2014.
J. Zhu and M. Gastpar, ‘‘Lattice codes for many-to-one cognitive interference networks", 2013 IEEE International Symposium on Information Theory (ISIT), Istanbul, Turkey, 2013.
J. Zhu, S. Stańczak and G. Reißig, ‘‘Stabilization of Linear Dynamical Systems with Scalar Quantizers under Communication Constraints" , Proc. 44th Annual Conf. Information Sci. and Systems (CISS), Princeton, NJ, U.S.A., Mar 17-19, 2010,
Thesis
J. Zhu and M. Gastpar (Dir.), ‘‘CFMA (Compute-Forward Multiple Access) and its Applications in Network Information Theory", EPFL, Lausanne, 2016.
Best Paper and Reserach Awards
IEEE Communications Society Heinrich Hertz Award for Best Communications Letters, 2013
Chinese Government Award for Outstanding Students Abroad, 2016
Research Fellowships
Swiss National Science Foundation, Early Postdoc.Mobility Fellowship (18-month project), 2015
DAAD (German Academic Exchange Service) scholarship, 2007