Ming Tang

Computer Networks and Communications · with Wong · 2020

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 12 citations into it; #6,376 of 9,886 by trust here, #9,768 by citations
• Electrical and Electronic Engineering — 10 citations into it; #9,073 of 16,539 by trust here, #16,387 by citations
• Artificial Intelligence — 9 citations into it
• Reinforcement Learning — 6 citations into it

Whom Ming Tang trusts overall

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

1. Suzhi Bi
2. Hado van Hasselt
3. Volodymyr Mnih
4. Yuyi Mao
5. Liang Huang
6. David Silver
7. Ying-Jun Angela Zhang
8. Koray Kavukcuoglu
9. Ziyun Wang
10. Richard S. Sutton

Who trusts Ming Tang overall

1. Suzhi Bi
2. Liang Huang
3. Haibo Wang

Papers from Ming Tang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Human-level control through deep reinforcement learning
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems (2020) — 333 citations