Yang Zhang
Artificial Intelligence · with Wang · 2019–2021
A researcher in the Science corpus: 7 papers; trusts 57 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 107 citations into it; #13,487 of 35,345 by trust here, #13,962 by citations
- Natural Language Processing — 40 citations into it
- Signal Processing — 38 citations into it; #5,762 of 7,572 by trust here, #3,198 by citations
- Speech & Audio — 38 citations into it; #1,048 of 1,076 by trust here, #900 by citations
- Computer Vision and Pattern Recognition — 20 citations into it
- Model Architectures — 18 citations into it; #2,198 of 2,278 by trust here, #1,976 by citations
- Large Language Models — 11 citations into it
- Optimization & Training — 9 citations into it
Whom Yang Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastian Ruder
- Jacob Devlin
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Graves
- Yoshua Bengio
- Huashan PAN
- Ilya Sutskever
- Alex Krizhevsky
- Kyubyong Park
Who trusts Yang Zhang overall
Papers from Yang Zhang's perspective
Ordered by how strongly the researchers Yang Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions (2019) — 328 citations
- Bio-Megatron: Larger Biomedical Domain Language Model (2020) — 177 citations
- Fcl-Taco2: Towards Fast, Controllable and Lightweight Text-to-Speech Synthesis (2021) — 9 citations
- Hi-Fi Multi-Speaker English TTS Dataset (2021) — 140 citations
- Unified Mandarin TTS Front-end Based on Distilled BERT Model (2020) — 26 citations
- A Hybrid Text Normalization System Using Multi-Head Self-Attention For Mandarin (2019) — 17 citations
- A Unified Sequence-to-Sequence Front-End Model for Mandarin Text-to-Speech Synthesis (2019) — 28 citations