Yuhong Li
Artificial Intelligence · 4 papers · 2018–2024
A researcher in the Science corpus: 4 papers; trusts 356 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it
- Computer Vision and Pattern Recognition — 63 citations into it; #7,546 of 21,575 by trust here, #12,992 by citations
- Model Architectures — 14 citations into it
- Efficiency & Compression — 13 citations into it
- Hardware and Architecture — 6 citations into it
Whom Yuhong Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Kaiming He
- Andrew Zisserman
- Yoshua Bengio
- Ross B. Girshick
- Ilya Sutskever
- Diederik P. Kingma
Who trusts Yuhong Li overall
- Qi Wang
- Vishwanath A. Sindagi
- Weizhe Liu
- Huidong Liu
- Daniel Oñoro-Rubio
- Di Kang
- Luca Ciampi
- Xinkun Cao
- Junyu Gao
- Hisham Cholakkal
Papers from Yuhong Li's perspective
Ordered by how strongly the researchers Yuhong Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes (2018) — 1,638 citations
- FPGA/DNN Co-Design: An Efficient Design Methodology for 1oT Intelligence on the Edge (2019) — 192 citations
- SnapKV: LLM Knows What You are Looking for Before Generation (2024) — 759 citations
- Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads (2024) — 809 citations