Gongfan Fang

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 5 papers; trusts 476 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 134 citations into it; #34,626 of 35,345 by trust here, #21,316 by citations
• Computer Vision and Pattern Recognition — 133 citations into it
• Efficiency & Compression — 65 citations into it
• Generative Models — 39 citations into it
• Large Language Models — 33 citations into it
• Natural Language Processing — 27 citations into it
• Model Architectures — 26 citations into it
• Evaluation & Benchmarks — 18 citations into it

Whom Gongfan Fang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Yoshua Bengio
6. Yann LeCun
7. Karen Simonyan
8. Ilya Sutskever
9. Ross B. Girshick
10. Christian Szegedy

Who trusts Gongfan Fang overall

1. Mingjie Sun
2. Zhendong Yang
3. Mengzhou Xia
4. Zhuang Liu
5. Saleh Ashkboos
6. Xinyin Ma
7. Ailing Zeng

Papers from Gongfan Fang's perspective

Ordered by how strongly the researchers Gongfan Fang 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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

• LLM-Pruner: On the Structural Pruning of Large Language Models (2023) — 892 citations
• DeepCache: Accelerating Diffusion Models for Free (2023) — 400 citations
• DepGraph: Towards Any Structural Pruning (2023) — 518 citations
• Adversarial Self-Supervised Data Free Distillation for Text Classification (2020) — 27 citations
• Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning (2019) — 59 citations