Chengyao Wang

Computer Vision and Pattern Recognition · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 258 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 79 citations into it
• Artificial Intelligence — 75 citations into it
• Multimodal Learning — 51 citations into it
• Large Language Models — 37 citations into it
• Evaluation & Benchmarks — 19 citations into it
• Natural Language Processing — 9 citations into it

Whom Chengyao Wang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Diederik P. Kingma
6. Ilya Sutskever
7. Ross B. Girshick
8. Yann LeCun
9. Jacob Devlin
10. Haotian Liu

Papers from Chengyao Wang's perspective

Ordered by how strongly the researchers Chengyao Wang 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Mini-Gemini: Mining the Potential of Multi-Modality Vision Language Models (2024) — 397 citations
• LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models (2023) — 647 citations