Won Jang

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it; #17,682 of 35,345 by trust here, #21,316 by citations
• Signal Processing — 37 citations into it; #3,588 of 7,572 by trust here, #3,913 by citations
• Speech & Audio — 29 citations into it; #980 of 1,076 by trust here, #900 by citations
• Generative Models — 19 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Model Architectures — 8 citations into it

Whom Won Jang trusts overall

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

1. Diederik P. Kingma
2. Aäron van den Oord
3. Geoffrey E. Hinton
4. Adrian La'ncucki
5. Wei Ping
6. Andrew L. Maas
7. Yoshua Bengio
8. Nal Kalchbrenner
9. Tim Salimans
10. Alex Graves

Who trusts Won Jang overall

1. Hubert Siuzdak
2. Sang-gil Lee
3. Yanli Li
4. D. Lim
5. Xu Tan
6. Jian Cong
7. Jaeseong You
8. Wei Ping
9. Congyi Wang
10. Rithesh Kumar

Papers from Won Jang's perspective

Ordered by how strongly the researchers Won Jang 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. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation (2021) — 200 citations
• Universal MelGAN: A Robust Neural Vocoder for High-Fidelity Waveform Generation in Multiple Domains (2020) — 42 citations
• JDI-T: Jointly trained Duration Informed Transformer for Text-To-Speech without Explicit Alignment (2020) — 40 citations