Li-Juan Liu
Artificial Intelligence · 2014–2018
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 27 citations into it; #17,183 of 35,345 by trust here, #19,873 by citations
- Signal Processing — 19 citations into it; #3,461 of 7,572 by trust here, #3,566 by citations
- Speech & Audio — 11 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Li-Juan Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- A. Kain
- Akira Tamamori
- Tomoki Hayashi
- Jimmy Ba
- Junichi Yamagishi
- Aäron van den Oord
- Yoshua Bengio
- Yuki Saito
Who trusts Li-Juan Liu overall
- Yang Ai
- Zhenhua Ling
- Hieu-Thi Luong
- Junichi Yamagishi
- Adam Polyak
- Won Jang
- Momina Masood
- Xin Eric Wang
- Yuewen Cao
- Lior Wolf
Papers from Li-Juan Liu's perspective
Ordered by how strongly the researchers Li-Juan Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- WaveNet Vocoder with Limited Training Data for Voice Conversion (2018) — 127 citations
- Voice Conversion Using Deep Neural Networks With Layer-Wise Generative Training (2014) — 235 citations