Changhwa Park

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Signal Processing — 21 citations into it
• Computer Networks and Communications — 13 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Changhwa Park trusts overall

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

1. Sepp Hochreiter
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Christopher A. Sims
5. John Cristian Borges Gamboa
6. Ian J. Goodfellow
7. Alex Krizhevsky
8. Aditya P. Mathur
9. Alec Radford
10. J. Urgen Schmidhuber

Papers from Changhwa Park's perspective

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

1. Long Short-Term Memory
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines (2021) — 521 citations