• Associate Professor, Electrical & Computer Engineering
Chao Tian

Educational Background

  • Ph.D., Electrical and Computer Engineering, Cornell University – 2005
  • B.E., Electronic Engineering, Tsingua University – 2000

Research Interests

    • A Computational Approach to Information Theoretic Converses
    • Coding for Distributed Data Storage
    • Joint Source-Channel Coding
    • An Approximate Approach to Network Information Theory
    • Lossy Multiuser Source Coding Problems

Awards & Honors

  • 2017 IEEE Jack Wolf ISIT Best Student Paper Award (Jie Li): For the paper “A generic transformation for optimal repair bandwidth and rebuilding access in MDS codes” in ISIT 2017.
  • 2014 IEEE ComSoc DSTC Best Paper Award: For the paper “Characterizing the rate-region of the (4,3,3) exact-repair regenerating codes” in JSAC May 2014.
  • AT&T Key Contributor Award: For technical contribution in AT&T / 2010, 2011, 2013.
  • Liu-Memorial Award, Cornell University: For excellence in graduate study and research / 2004.

Selected Publications

  • J. Li, X. Tang, and C. Tian, “A generic transformation for optimal repair bandwidth and rebuilding access in MDS codes”, Proceedings of the 2017 IEEE International Symposium on Information Theory, Aachen, Germany, Jun. 2017.
  • C. Tian, B. Sasidharan, V. Aggarwal, V. Vaishampayan, and P. Vijay Kumar, “Layered exact-repair regenerating codes via embedded erasure correction and block designs,” IEEE Trans. Inform. Theory, Vol. 61, No. 4, pp. 1933-1947, Apr. 2015.
  • C. Tian, “Characterizing the rate-region of the (4,3,3) exact-repair regenerating codes,” IEEE Journal on Selected Areas in Communications, Vol. 32, No. 5, pp. 967-975, May 2014.
  • C. Tian, J. Chen, S. N. Diggavi, and S. Shamai, “Optimality and approximate optimality of source-channel separation in networks, ” IEEE Trans. Inform. Theory, Vol. 60, No. 2, pp. 904-918, Feb. 2014.
  • C. Tian, S. N. Diggavi, and S. Shamai, “The achievable distortion region of sending a bivariate Gaussian source on the Gaussian broadcast channel, ” IEEE Trans. Inform. Theory, Vol. 57, No. 10, pp. 6419-6427, Oct. 2011