Xiaodai Dong

Electrical and Electronic Engineering · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 42 citations into it; #2,363 of 16,539 by trust here, #10,154 by citations
• Computer Networks and Communications — 13 citations into it
• Aerospace Engineering — 12 citations into it
• Biomedical Engineering — 10 citations into it
• Materials Chemistry — 8 citations into it
• Atomic and Molecular Physics, and Optics — 6 citations into it

Whom Xiaodai Dong trusts overall

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

1. T. Marzetta
2. Akbar M. Sayeed
3. Josep Miquel Jornet
4. Xinying Zhang
5. Omar El Ayach
6. Ian F. Akyildiz
7. David Tse
8. Ahmed Alkhateeb
9. Quentin H. Spencer
10. Ho-Jin Song

Who trusts Xiaodai Dong overall

1. Foad Sohrabi
2. Irfan Ahmed
3. Andreas F. Molisch
4. Wei Yu
5. Weiheng Ni

Papers from Xiaodai Dong's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas (IEEE Transactions on Wireless Communications)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Analog Beamforming in MIMO Communications With Phase Shift Networks and Online Channel Estimation (IEEE Transactions on Signal Processing)
8. Attention is All you Need (Neural Information Processing Systems)
9. Millimeter-wave beamforming as an enabling technology for 5G cellular communications: theoretical feasibility and prototype results (IEEE Communications Magazine)
10. Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays (IEEE Signal Processing Magazine)

Their papers

• Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems (2014) — 696 citations
• Hybrid Block Diagonalization for Massive Multiuser MIMO Systems (2015) — 353 citations
• Design of a Reconfigurable MIMO System for THz Communications Based on Graphene Antennas (2014) — 178 citations
• Recurrent Neural Networks for Accurate RSSI Indoor Localization (2019) — 372 citations