Diep N. Nguyen

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it

Whom Diep N. Nguyen trusts overall

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

1. Diederik P. Kingma
2. Jae Kwon
3. Raouf Boutaba
4. Chaoyun Zhang

Papers from Diep N. Nguyen's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Large Scale Distributed Deep Networks
3. Bitcoin: A Peer-to-Peer Electronic Cash System
4. PPCoin: Peer-to-Peer Crypto-Currency with Proof-of-Stake
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Ouroboros: A Provably Secure Proof-of-Stake Blockchain Protocol
7. Gradient-based learning applied to document recognition
8. ETHEREUM: A SECURE DECENTRALISED GENERALISED TRANSACTION LEDGER
9. Cryptocurrencies Without Proof of Work (Financial Cryptography Workshops)
10. ImageNet classification with deep convolutional neural networks

Their papers

• Energy Demand Prediction with Federated Learning for Electric Vehicle Networks (2019) — 232 citations
• Federated Learning Meets Contract Theory: Energy-Efficient Framework for Electric Vehicle Networks (2020) — 11 citations
• Proof-of-Stake Consensus Mechanisms for Future Blockchain Networks: Fundamentals, Applications and Opportunities (2019) — 421 citations