Kaiming Shen

Electrical and Electronic Engineering · 2018

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Kaiming Shen trusts overall

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

  1. Zhi-Quan Tom Luo
  2. John Papandriopoulos
  3. Alessio Zappone
  4. Qingjiang Shi
  5. Søren Skovgaard Christensen
  6. Mung Chiang
  7. Wei Yu
  8. Derrick Wing Kwan Ng
  9. Eduard Axel Jorswieck
  10. Shuzhong Zhang

Who trusts Kaiming Shen overall

  1. Zijian Zhang
  2. Linglong Dai
  3. Yasar Sinan Nasir
  4. Nanchi Su
  5. Huayan Guo
  6. Wei Yu
  7. Yuanwei Liu
  8. Nguyen Cong Luong
  9. Dongning Guo
  10. Ying-Chang Liang

Papers from Kaiming Shen's perspective

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

  1. Dynamic Spectrum Management: Complexity and Duality (IEEE Journal on Selected Topics in Signal Processing)
  2. An Iteratively Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel
  3. Energy-Efficient Resource Allocation in OFDMA Systems with Large Numbers of Base Station Antennas (IEEE Transactions on Wireless Communications)
  4. An introduction to convex optimization for communications and signal processing (IEEE Journal on Selected Areas in Communications)
  5. Nonlinear Fractional Programming
  6. Geometric Programming for Communication Systems (Foundations and Trends in Communications and Information Theory)
  7. Weighted sum-rate maximization using weighted MMSE for MIMO-BC beamforming design (IEEE Transactions on Wireless Communications)
  8. Optimization
  9. SCALE: A Low-Complexity Distributed Protocol for Spectrum Balancing in Multiuser DSL Networks (IEEE Transactions on Information Theory)
  10. Energy Efficiency in Wireless Networks via Fractional Programming Theory (Foundations and Trends in Communications and Information Theory)

Their papers