Won-Joo Hwang

Electrical and Electronic Engineering · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Won-Joo Hwang trusts

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

  1. Dianbo Liu (in Artificial Intelligence)
  2. Medhi Bennis (in Electrical and Electronic Engineering)
  3. Timothy Miller (in Artificial Intelligence)

Papers from Won-Joo Hwang's perspective

Ordered by how strongly the researchers Won-Joo Hwang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Learning
  2. Identity Mappings in Deep Residual Networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems (IEEE Network)
  6. The Roadmap to 6G - AI Empowered Wireless Networks
  7. 6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies (IEEE Vehicular Technology Magazine)
  8. Federated Learning in Mobile Edge Networks: A Comprehensive Survey
  9. Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems (IEEE Wireless Communications Letters)
  10. Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces (IEEE Transactions on Signal Processing)

Their papers