Tao Huang

Artificial Intelligence · with Liu · 2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 61 citations into it
• Model Architectures — 5 citations into it

Whom Tao Huang trusts overall

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

1. Anthony Dewayne Hunt
2. Teuvo Kohonen
3. Miroslav Kubat
4. S. Kotsiantis
5. Gary G. Yen

Papers from Tao Huang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Bitcoin: A Peer-to-Peer Electronic Cash System
3. Long Short-Term Memory
4. OpenFlow: enabling innovation in campus networks (CCRV)
5. GENERATIVE ADVERSARIAL NETS
6. Deep Learning
7. ETHEREUM: A SECURE DECENTRALISED GENERALISED TRANSACTION LEDGER
8. Recurrent neural network based language model
9. NOX: towards an operating system for networks (CCRV)
10. Software-Defined Networking: A Comprehensive Survey (Proceedings of the IEEE)

Their papers

• A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges (2019) — 614 citations
• A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges (2019) — 524 citations