Yifeng Lu

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 8 papers; trusts 196 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 272 citations into it; #29,753 of 35,345 by trust here, #4,276 by citations
• Computer Vision and Pattern Recognition — 137 citations into it; #18,359 of 21,575 by trust here, #3,786 by citations
• Natural Language Processing — 115 citations into it; #4,851 of 5,688 by trust here, #1,432 by citations
• Evaluation & Benchmarks — 63 citations into it
• Optimization & Training — 54 citations into it
• Model Architectures — 33 citations into it
• Reinforcement Learning — 15 citations into it
• Neural Architecture Search & AutoML — 10 citations into it

Whom Yifeng Lu trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Barret Zoph
6. Kaiming He
7. Quoc V. Le
8. Ilya Sutskever
9. Yann LeCun
10. Karen Simonyan

Who trusts Yifeng Lu overall

1. Jason Aaron Edward Weston
2. Shikib Mehri

Papers from Yifeng Lu's perspective

Ordered by how strongly the researchers Yifeng Lu 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. ImageNet Large Scale Visual Recognition Challenge
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Towards a Human-like Open-Domain Chatbot (2020) — 1,033 citations
• DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection (2022) — 531 citations
• Symbolic Discovery of Optimization Algorithms (2023) — 679 citations
• Larger language models do in-context learning differently (2023) — 488 citations
• Transfer Learning with Neural AutoML (2018) — 118 citations
• DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining (2023) — 393 citations
• Large Language Models as Optimizers (2023) — 977 citations
• Transfer Automatic Machine Learning (2018) — 10 citations