Penghao Wu

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 405 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 103 citations into it
• Computer Vision and Pattern Recognition — 93 citations into it
• Multimodal Learning — 40 citations into it
• Large Language Models — 29 citations into it
• Evaluation & Benchmarks — 23 citations into it

Whom Penghao Wu trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Tsung-Yi Lin
4. Ross B. Girshick
5. Alex Krizhevsky
6. Yoshua Bengio
7. Yann LeCun
8. Diederik P. Kingma
9. Ilya Sutskever
10. Karen Simonyan

Who trusts Penghao Wu overall

1. Yushi Hu
2. Shengbang Tong
3. Weijia Shi

Papers from Penghao Wu's perspective

Ordered by how strongly the researchers Penghao Wu 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Gradient-based learning applied to document recognition
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs (2024) — 900 citations
• V*: Guided Visual Search as a Core Mechanism in Multimodal LLMs (2023) — 544 citations