Hanhwi Jang

Artificial Intelligence · 2019–2020

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

Subfields

• Artificial Intelligence — 22 citations into it
• Natural Language Processing — 11 citations into it

Whom Hanhwi Jang trusts overall

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

1. Jason Aaron Edward Weston
2. Antoine Bordes
3. Sylvain Firer-Blaess
4. Dimitrios Stamoulis
5. Xianyi Zhang
6. Brandon Reagen
7. Yoshua Bengio
8. Geoffrey E. Hinton
9. Sepp Hochreiter
10. Tomas Mikolov

Who trusts Hanhwi Jang overall

1. Markus Norman Rabe
2. Charles Staats
3. Bo Peng

Papers from Hanhwi Jang's perspective

Ordered by how strongly the researchers Hanhwi Jang 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• The gem5 Simulator: Version 20.0+ (2020) — 425 citations
• MnnFast: A Fast and Scalable System Architecture for Memory-Augmented Neural Networks (2019) — 73 citations