Weixiong Lin

J. Am. Medical Informatics Assoc. · 2023–2024

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Weixiong Lin trusts overall

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

1. Ilya Loshchilov
2. Kaiming He
3. Jacob Devlin
4. Alec Radford
5. Geoffrey E. Hinton
6. X. Zhang
7. Alex Krizhevsky
8. Frank Hutter
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Weixiong Lin overall

1. Xiaoman Zhang

Papers from Weixiong Lin's perspective

Ordered by how strongly the researchers Weixiong Lin trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Long Short-Term Memory
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

• PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering (2023) — 366 citations
• PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents (2023) — 336 citations
• Development of a large-scale medical visual question-answering dataset (2024)
• PMC-LLaMA: toward building open-source language models for medicine (2024) — 431 citations