Jinghao Wang

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 2 papers; trusts 157 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 97 citations into it
• Artificial Intelligence — 88 citations into it
• Multimodal Learning — 53 citations into it

Whom Jinghao 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. Tsung-Yi Lin
10. Alec Radford

Papers from Jinghao Wang's perspective

Ordered by how strongly the researchers Jinghao 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. Gradient-based learning applied to document recognition
8. Microsoft COCO: Common Objects in Context
9. ImageNet Large Scale Visual Recognition Challenge
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• MIMIC-IT: Multi-Modal In-Context Instruction Tuning (2023) — 310 citations
• Otter: A Multi-Modal Model With In-Context Instruction Tuning (2023) — 692 citations