Minghao Li
Artificial Intelligence · with Li · 2019–2023
A researcher in the Science corpus: 4 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it
- Computer Vision and Pattern Recognition — 53 citations into it
- Model Architectures — 8 citations into it
Whom Minghao Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Ilya Sutskever
- Yann LeCun
- Karen Simonyan
- Ross B. Girshick
Who trusts Minghao Li overall
Papers from Minghao Li's perspective
Ordered by how strongly the researchers Minghao Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models (2021) — 682 citations
- LayoutLM: Pre-training of Text and Layout for Document Image Understanding (2019) — 1,049 citations
- API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs (2023) — 537 citations
- Preference Ranking Optimization for Human Alignment (2023) — 387 citations