Cong Leng
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 4 papers; trusts 386 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 75 citations into it; #8,291 of 21,575 by trust here, #4,344 by citations
- Artificial Intelligence — 48 citations into it
- Efficiency & Compression — 33 citations into it; #482 of 1,264 by trust here, #322 by citations
- Model Architectures — 13 citations into it
- Computational Mechanics — 10 citations into it; #8,976 of 10,001 by trust here, #4,600 by citations
- Media Technology — 10 citations into it
- Information Retrieval & Search — 8 citations into it
- Computational Theory and Mathematics — 7 citations into it
Whom Cong Leng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Yoshua Bengio
- Wei David Liu
- Yann LeCun
- Ross B. Girshick
- Andrew Zisserman
- X. Zhang
Who trusts Cong Leng overall
- Yunhui Guo
- Jiaxiang Wu
- Haotong Qin
- Qing Jin
- Shangyu Chen
- Haichuan Yang
- Georgios Georgiadis
- Felix Stahlberg
- By Lei Deng
- Hao Wu
Papers from Cong Leng's perspective
Ordered by how strongly the researchers Cong Leng trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Quantized Convolutional Neural Networks for Mobile Devices (2015) — 1,245 citations
- Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM (2017) — 305 citations
- Hashing for Distributed Data (2015) — 31 citations
- Online sketching hashing (2015) — 126 citations