Jinkun Chen
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it; #11,364 of 35,345 by trust here, #21,316 by citations
- Signal Processing — 26 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Speech & Audio — 8 citations into it; #419 of 1,076 by trust here, #783 by citations
Whom Jinkun Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Douglas A. Reynolds
- Patrick Kenny
- Ming Li
- Kaiming He
- Simon J. D. Prince
- David Snyder
- Florian Schroff
- Gautam Bhattacharya
- Yun Lei
- Weicheng Cai
Who trusts Jinkun Chen overall
- Joon Son Chung
- Erica Cooper
- Arsha Nagrani
- Jörgen Valk
- Weidi Xie
- Cheng-I Lai
- Hee-Soo Heo
- Edresson Casanova
- Yi Zhao
- Jaesung Huh
Papers from Jinkun Chen's perspective
Ordered by how strongly the researchers Jinkun Chen 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
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database