Zhifeng Gao

Computational Theory and Mathematics · with Ke · 2023

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 45 citations into it
• Molecular Biology — 45 citations into it
• Artificial Intelligence — 23 citations into it
• Computational Chemistry & Drug Discovery — 18 citations into it
• Computational Biology & Bioinformatics — 6 citations into it
• Natural Language Processing — 5 citations into it

Whom Zhifeng Gao trusts overall

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

1. Kaiming He
2. R. Quiroga
3. Johannes Klicpera
4. Geoffrey E. Hinton
5. David Weininger
6. Yoshua Bengio
7. S. Parasuraman
8. David Ryan Koes
9. Diederik P. Kingma
10. Alex Krizhevsky

Papers from Zhifeng Gao's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Uni-Mol: A Universal 3D Molecular Representation Learning Framework (2023) — 625 citations
• Do Deep Learning Models Really Outperform Traditional Approaches in Molecular Docking? (2023) — 47 citations