Linjun Zhang

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 54 citations into it
• Computer Vision and Pattern Recognition — 45 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Optimization & Training — 12 citations into it
• Natural Language Processing — 8 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Linjun Zhang trusts overall

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

1. Yoshua Bengio
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ian J. Goodfellow
6. Vikas Verma
7. Sida I. Wang
8. Christian Szegedy
9. Yann LeCun
10. Diederik P. Kingma

Who trusts Linjun Zhang overall

1. Lilly Kumari
2. Yifan Zhang
3. Divyam Madaan
4. Shengjie Wang

Papers from Linjun Zhang's perspective

Ordered by how strongly the researchers Linjun Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Analyzing and Mitigating Object Hallucination in Large Vision-Language Models (2023) — 347 citations
• How Does Mixup Help With Robustness and Generalization? (2020) — 298 citations