Tie Liu

Electrical and Electronic Engineering · with Shamai · 2007

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Tie Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Suhas N. Diggavi
  2. Frédérique E. Oggier
  3. Babak Hassibi
  4. Thomas M. Cover
  5. Tie Liu
  6. Hanan Weingarten
  7. Shabnam Shafiee
  8. Yingbin Liang

Who trusts Tie Liu overall

  1. Ashish J. Khisti
  2. A. Mukherjee
  3. Shabnam Shafiee
  4. Gregory W. Wornell
  5. Jing Huang
  6. Frédérique E. Oggier
  7. Nan Liu
  8. A. L. Swindlehurst
  9. S. Ali A. Fakoorian
  10. Sennur Ulukus

Papers from Tie Liu's perspective

Ordered by how strongly the researchers Tie Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Secure Communication Over Fading Channels (IEEE Transactions on Information Theory)
  2. Towards the Secrecy Capacity of the Gaussian MIMO Wire-Tap Channel: The 2-2-1 Channel (IEEE Transactions on Information Theory)
  3. The secrecy capacity of the MIMO wiretap channel (2008 IEEE International Symposium on Information Theory)
  4. The worst additive noise under a covariance constraint (IEEE Transactions on Information Theory)
  5. The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel (IEEE Transactions on Information Theory)
  6. An Extremal Inequality Motivated by Multiterminal Information Theoretic Problems
  7. Opportunistic beamforming using dumb antennas (Proceedings IEEE International Symposium on Information Theory,)
  8. Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels (IEEE Transactions on Information Theory)
  9. On the achievable throughput of a multiantenna Gaussian broadcast channel (IEEE Transactions on Information Theory)
  10. Secure Transmission With Multiple Antennas I: The MISOME Wiretap Channel (IEEE Transactions on Information Theory)

Their papers