Haoyu Song

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 342 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 174 citations into it
• Computer Vision and Pattern Recognition — 120 citations into it
• Natural Language Processing — 111 citations into it
• Large Language Models — 55 citations into it
• Multimodal Learning — 53 citations into it
• Evaluation & Benchmarks — 50 citations into it
• Prompting & Reasoning — 19 citations into it
• Model Architectures — 15 citations into it

Whom Haoyu Song trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Kaiming He
6. Alex Krizhevsky
7. Alec Radford
8. Oriol Vinyals
9. Yann LeCun
10. Alex Graves

Who trusts Haoyu Song overall

1. Haolan Zhan
2. Ziwei Ji
3. Andy Zeng
4. Hongshen Chen

Papers from Haoyu Song's perspective

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

Their papers

• Language Models are General-Purpose Interfaces (2022) — 113 citations
• CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment (2022) — 174 citations
• Visually-Augmented Language Modeling (2022) — 22 citations
• Generating Persona Consistent Dialogues by Exploiting Natural Language Inference (2019) — 85 citations