Junyi Ao

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 113 citations into it
• Speech & Audio — 47 citations into it
• Signal Processing — 45 citations into it
• Natural Language Processing — 38 citations into it
• Representation & Self-Supervised Learning — 21 citations into it
• Large Language Models — 14 citations into it
• Evaluation & Benchmarks — 7 citations into it

Whom Junyi Ao trusts overall

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

1. Diederik P. Kingma
2. Alexei Baevski
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Jimmy Ba
6. Alex Graves
7. Ilya Sutskever
8. Alex Krizhevsky
9. Kaiming He
10. Oriol Vinyals

Who trusts Junyi Ao overall

1. Zi-Hua Zhang
2. Evgeny Kharitonov
3. Long Zhou
4. Yunfei Chu
5. Soumi Maiti
6. Tianrui Wang
7. Dong Zhang

Papers from Junyi Ao's perspective

Ordered by how strongly the researchers Junyi Ao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing (2021) — 297 citations
• SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training (2022) — 67 citations
• CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning (2022) — 7 citations