Fengqi Zhu

Artificial Intelligence · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Generative Models — 24 citations into it
• Statistical and Nonlinear Physics — 15 citations into it
• Model Architectures — 14 citations into it

Whom Fengqi Zhu trusts overall

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

1. Noam Shazeer
2. Diederik P. Kingma
3. Jonathan Ho
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Alex Krizhevsky
7. Ashish Vaswani
8. Jacob Austin
9. Kaiming He
10. Ilya Sutskever

Papers from Fengqi Zhu's perspective

Ordered by how strongly the researchers Fengqi Zhu 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Large Language Diffusion Models (2025) — 780 citations
• Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data (2024) — 345 citations