Hoon Heo

Signal Processing · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 35 citations into it
• Artificial Intelligence — 32 citations into it
• Speech & Audio — 22 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Hoon Heo trusts overall

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

1. Naoya Takahashi
2. Zhong-Qiu Wang
3. Jonathan Le Roux
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Deliang Wang
7. Eric Jang
8. Diederik P. Kingma
9. Donald S. Williamson
10. Sashank J. Reddi

Papers from Hoon Heo's perspective

Ordered by how strongly the researchers Hoon Heo 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations (2021) — 198 citations
• Phase-aware Single-stage Speech Denoising and Dereverberation with U-Net (2020) — 22 citations