Hieu-Thi Luong
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 4 papers; trusts 93 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 82 citations into it; #14,182 of 35,345 by trust here, #16,471 by citations
- Signal Processing — 62 citations into it; #2,755 of 7,572 by trust here, #2,664 by citations
- Speech & Audio — 41 citations into it
- Generative Models — 16 citations into it
- Natural Language Processing — 15 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Model Architectures — 7 citations into it
Whom Hieu-Thi Luong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Junichi Yamagishi
- Tomoki Hayashi
- Heiga Zen
- Diederik P. Kingma
- Geoffrey E. Hinton
- Aäron van den Oord
- Yoshua Bengio
- Alex Graves
- Leo Breiman
- Alex Krizhevsky
Who trusts Hieu-Thi Luong overall
- Berrak Sisman
- Xu Tan
- Junichi Yamagishi
- Rui Liu
- Gustav Eje Henter
- Momina Masood
- Yuzi Yan
- Tao Qin
- Yuxuan Wang
- Katsuki Inoue
Papers from Hieu-Thi Luong's perspective
Ordered by how strongly the researchers Hieu-Thi Luong trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
Their papers
- NAUTILUS: A Versatile Voice Cloning System (2020) — 61 citations
- Training Multi-Speaker Neural Text-to-Speech Systems using Speaker-Imbalanced Speech Corpora (2019) — 24 citations
- Wasserstein GAN and Waveform Loss-Based Acoustic Model Training for Multi-Speaker Text-to-Speech Synthesis Systems Using a WaveNet Vocoder (2018) — 67 citations
- Adapting and controlling DNN-based speech synthesis using input codes (2017) — 77 citations