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Contact Information

name Lizhong Zheng
address 36-660, 77 Mass Ave. Cambridge, MA 02139, USA
Tel. (617) 452-2941
email lizhong@mit.edu
url https//lizhongzheng.mit.edu

Education

  • 2002

    Berkeley, CA, USA

    PhD
    Department of Electrical Engineering and Computer Science, University of California, Berkeley
    • Thesis: 'Diversity-Multiplexing Tradeoff - A Comprehensive View of Multiple Antenna Systems', advisor: David N.C. Tse
    • Minor in Mathematics and Statistics
    • Eli Jury Award
    • Tong Leong Lim Pre-Doctoral Prize
  • 1997

    Beijing, PRC.

    M.S.
    Department of Electronic Engineering, Tsinghua University
    • Thesis: 'Video Compression Algorithm and Hardware Implementation', advisor: Xianyuan Meng
  • 1994

    Beijing, PRC.

    B.S.
    Department of Electronic Engineering, Tsinghua University

Experience

  • 2012 - present

    Cambridge, MA, USA

    Professor
    Department of Electrical Engineering and Computer Sciences, MIT
    • Research Laboratory of Electronic (RLE)
    • 2009 - 2012: Associate Professor (with tenure)
    • 2006 - 2009: Associate Professor (without tenure), the KDD Career Development Professor
    • 2002 - 2006: Assistant Professor
  • 2024 - present

    Beijing, PRC

    Distinguished Visiting Professor
    Tsinghua University
  • 2017-2018

    Shenzhen, PRC.

    Visiting Professor
    Tsinghua Berkeley Shenzhen Institute (TBSI)
    • Data Science and Information Technology Center
  • 2017 - 2018

    Shenzhen, PRC.

    Visiting Scientist at the AI Lab.
    Tencent Inc.
  • 2017 - 2018

    Shenzhen, PRC.

    Distinguished Visiting Scientist at the Corporate Research Center
    Foxconn Techonolgy Group
  • 2008 - 2018

    Shanghai, PRC.

    Consultant on Wireless Commnication Standard and ML Algorithms
    2012 Lab, Huawai Co.
  • 2003 - 2019

    Concord, MA, USA

    Consultant on Wireless Commnications and Data Management Systems
    Qualcomm Inc.
  • 2006 - 2019

    Camas, WA, USA

    Consultant in the Division of Information Technology Systems
    Sharp Labs Inc.
  • 2007 - 2010

    Rome, NY, USA

    Consultant at the Airforce Research Labs (AFRL)
    Rome Research Corp

Professional Actitivities

  • 2012

    Boston, MA, USA

    General co-Chair
    IEEE International Symposium on Information Theory (ISIT'2012)
  • 2024

    Shenzhen, PRC

    TPC co-Chair
    IEEE Information Theory Workshop (ITW'2024)
  • 2026

    Guangzhou, PRC

    TPC co-Chair
    IEEE International Symposium on Information Theory (ISIT'2026)
  • 2023 - present
    Area Editor
    IEEE Transactions on Information Theory
    • Associate Editor (2007-2011)
  • 2023 - present
    Section Board Member
    MDPI Editorial Board for Information Theory, Probability, and Statistics
    • Guest Editor (2022)
  • 2019, 2023

    Shenzhen, PRC.

    Organizing Committee Member
    Workshop on Learning and Information Theory (WOLIT)
  • 2022
    Invited Lecturer
    East Asia School of Information Theory (EASIT)
  • 2021
    Invited Lecturer
    North America School of Information Theory (AASIT)
  • TPC Member
    International Symposium on Information Theory (ISIT), IEEE Information Theory Workshop (ITW), Workshop on Adaptive Sensor Array Processing (ASAP), International Conference on Ultra Wide-band (ICUWB)”, International Zurich Seminar on Communications (IZS), etc.
  • 2023 - present

    Cambridge, MA, USA

    Member
    MIT Committee on Undergraduate Programs (CUP)
  • 2019 - 2022

    Cambridge, MA, USA

    Member
    MIT Committee on Academic Performance (CAP)
  • 2015 -2018

    Cambridge, MA, USA

    Member/Chair
    MIT Committee on Student Lifes (CSL)
  • 2009 - present

    Cambridge, MA, USA

    Member
    MIT EECS Faculty Search Committee
  • 2003 - present

    Cambridge, MA, USA

    Member / Area Chair
    MIT EECS Graduate Admissiion Committee
  • 2005 - present

    Cambridge, MA, USA

    Mentor
    Research Science Institute (RSI)
    • Mentor for the Center of Excellence in Education (CEE) on the high school summer research program, with multiple students received national awards and admitted to top universities.
  • 2022 - present.
    Mentor
    Boston University Research in Science and Engineering (RISE) program}
    • Mentor for high school summer research programs.

Selected Honors and Awards

  • IEEE Fellow
  • IEEE Information Theory Society Paper Award
  • NSF CAREER Award
  • AFOSR Yound Investigator Award

Selected Recent Projects

  • 2004-2010
    CAREER: Towards Unified Theory of Wireless Communications
    NSF
    • This is an NSF early career award that helped us to establish the theoretical foundation of the modern wireless physical-layer communication theory.
  • 2007-2011
    Information Theory for Mobile Adhoc Networks (ITMANET)
    DARPA
    • This is a large joint program between Stanford, MIT, Caltech, and UIUC, led by Prof. Andrea Goldsmith of Staford, to develop the theory for network communications.
  • 2012 - 2017
    Information Geometry and Applications in Data Science
    AFOSR
    • This is a project on fundamental theoretic development of new tools of mathematical analysis that is aimed at broadening the application of information theory to topics on learning and data science
  • 2020-2023
    MLWiNS: Deep Neural Networks Meet Physical Layer Communications -- Learning with Knowledge of Structure
    NSF / Intel
    • This is a joint project to tudy the use of machine learning techniques in wireless communication systems. Our project was chosen as the "highlighted" project at the end for its direct impacts on industrial practice.
  • 2019 - 2024
    MURI: Science of Tracking, Control and Optimization of Information Latency for Dynamic Military IoT Systems
    ONR
    • This is a large joint project with Virginia Tech. on applying new tools in data science for better control of large data networks, to improve the latency property and security of communications.
  • 2022 - 2026
    HAYSTAC: Hidden Activity Signal and Trajectory Anomaly Charactorization
    IRAPA
    • This is a collaborative project with industrial partner STR Inc. to simulate and detect abnormal behaviors in ultra-large user-trajectory datasets.
  • 2023-2027
    Learning-based ORAN Testing
    National Telecommunications and Information Administration (NTIA)
    • This recent project is a part of the Biden administration's wireless innovation funds. The goal is to develop machine-learning-based ORAN development tools.

Selected Publications

  • Xiangxiang Xu and Lizhong Zheng: Neural Feature Learning in Function Space, Journal of Machine Learning Research (JMLR), 25(142), 2024
  • J Jon Ryu, Xiangxiang Xu, HS Erol, Yuheng Bu, Lizhong Zheng, Gregory W Wornell, Operator SVD with Neural Networks via Nested Low-Rank Approximation, ICML, 2024
  • Shao-Lun Huang, Anuran Makur, Gregory W. Wornell and Lizhong Zheng (2024), Universal Features for High-Dimensional Learning and Inference, Foundations and Trends® in Communications and Information Theory: Vol. 21: No. 1-2, pp 1-299.
  • Lianjun Li, Jiarui Xu, Lizhong Zheng, Lingjia Liu: Real-Time Machine Learning for Multi-User Massive MIMO:Symbol Detection Using Multi-Mode StructNet. IEEE Trans. Wireless Commun. 22(12): 9172-9186, 2023
  • Shashank Jere, Ramin Safavinejad, Lizhong Zheng, Lingjia Liu: Channel Equalization Through Reservoir Computing:A Theoretical Perspective. IEEE Wireless Communication Letter 12(5): 774-778, 2023
  • Xiangxiang Xu, Lizhong Zheng: Sequential Dependence Decomposition and Feature Learning. Allerton 2023
  • Xiangxiang Xu, Lizhong Zheng, Ishank Agrawal: Neural Feature Learning for Engineering Problems. Allerton 2023
  • Xiangxiang Xu, Lizhong Zheng: Kernel Subspace and Feature Extraction. IEEE International Symposium on Information Theory (ISIT) 1032-1037, 2023.
  • H. S. Melihcan Erol, Erixhen Sula, Lizhong Zheng: On Semi-Supervised Estimation of Distributions. IEEE International Symposium on Information Theory (ISIT) 1866-1871, 2023.
  • Shashank Jere, Karim Said, Lizhong Zheng, Lingjia Liu: Towards Explainable Machine Learning: The Effectiveness of Reservoir Computing in Wireless Receive Processing. MILCOM, 667-672, 2023
  • Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Gregory W. Wornell: An Information Theoretic Interpretation to Deep Neural Networks. Entropy 24(1): 135, 2022
  • Jiarui Xu, Zhou Zhou, Lianjun Li, Lizhong Zheng, Lingjia Liu: RC-Struct: A Structure-Based Neural Network Approach for MIMO-OFDM Detection. IEEE Trans. Wireless Commun. 21(9): 7181-7193, 2022
  • Xinyi Tong, Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng: A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning. 26103-26116, NeurIPS 2021
  • Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng: An Information Theoretic Approach to Unsupervised Feature Selection for High Dimensional Data, IEEE Journal on Selected Areas in Information Theory (JSAIT), Vol. 1, pp157-166, 2020.
  • Hye Won Chung, Brian M. Sadler, Lizhong Zheng, Alfred O. Hero III: Unequal Error Protection Querying Policies for the Noisy 20 Questions Problem. IEEE Trans. Information Theory 64(2): 1105-1131, 2018
  • Anuran Makur, Lizhong Zheng: Polynomial Singular Value Decompositions of a Family of Source-Channel Models. IEEE Trans. Information Theory 63(12): 7716-7728, 2017
  • Ligong Wang, Gregory W. Wornell, Lizhong Zheng: Fundamental Limits of Communication With Low Probability of Detection. IEEE Trans. Information Theory 62(6): 3493-3503, 2016
  • Hye Won Chung, Saikat Guha, Lizhong Zheng: Superadditivity of Quantum Channel Coding Rate With Finite Blocklength Joint Measurements. IEEE Trans. Information Theory 62(10): 5938-5959, 2016
  • Shao-Lun Huang, Changho Suh, Lizhong Zheng:Euclidean Information Theory of Networks. IEEE Trans. Information Theory 61(12): 6795-6814, 2015
  • Chung Chan, Lizhong Zheng: Multiterminal Secret Key Agreement. IEEE Trans. Information Theory 60(6): 3379-3412, 2014
  • Baris Nakiboglu, Siva K. Gorantla, Lizhong Zheng, Todd P. Coleman: Bit-Wise Unequal Error Protection for Variable-Length Block Codes With Feedback. IEEE Trans. Information Theory 59(3): 1475-1504, 2013
  • Baris Nakiboglu, Lizhong Zheng: Errors-and-Erasures Decoding for Block Codes With Feedback. IEEE Trans. Information Theory 58(1): 24-49, 2012
  • Shashi Borade, Lizhong Zheng: Writing on Fading Paper, Dirty Tape With Little Ink: Wideband Limits for Causal Transmitter CSI. IEEE Trans. Information Theory 58(8): 5388-5397, 2012
  • Emmanuel Abbe, Lizhong Zheng: A Coordinate System for Gaussian Networks. IEEE Trans. Information Theory 58(2): 721-733, 2012
  • Krishna P. Jagannathan, Eytan Modiano, Lizhong Zheng: On the Role of Queue Length Information in Network Control. IEEE Trans. Information Theory 57(9): 5884-5896, 2011
  • Emmanuel Abbe, Lizhong Zheng: Linear Universal Decoding for Compound Channels. IEEE Trans. Information Theory 56(12): 5999-6013, 2010
  • Shashi Borade, Lizhong Zheng: Wideband Fading Channels With Feedback. IEEE Trans. Information Theory 56(12): 6058-6066, 2010
  • Shashi Borade, Baris Nakiboglu, Lizhong Zheng: Unequal error protection: an information-theoretic perspective. IEEE Trans. Information Theory 55(12): 5511-5539, 2009
  • Shashi Borade, Lizhong Zheng, Robert .G. Gallager: Amplify and Forward in Wireless Relay Networks: Rate, Diversity, and Network Size, IEEE Transactions on Information Theory, special issue on 'Models, Theory, and Codes for Relaying and Cooperation in Communication Networks', October, 2007
  • Lizhong Zheng, David.N.C. Tse, Muriel. Medard : Channel Coherence in the Low SNR Regime. IEEE International Symposium on Information Theory, June 2004
  • Lizhong Zheng, David N.C. Tse, Diversity and Multiplexing: A Fundamental Tradeoff in Multiple Antenna Channels. IEEE Transactions on Information Theory. Vol. 49, No. 5, pp. 1073-96, May, 2003
  • Lizhong Zheng, David. N.C. Tse, Communication on the Grassmann Manifold: A Geometric Approach to the Non-Coherent Multiple Antenna Channel. IEEE Transactions on Information Theory, vol. 48, No. 2, pp 359-84., February, 2002