Huibin Lin
Signal Processing · 2019
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 19 citations into it; #5,748 of 7,572 by trust here, #5,086 by citations
- Artificial Intelligence — 13 citations into it; #27,263 of 35,345 by trust here, #25,809 by citations
- Speech & Audio — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Huibin Lin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yi Luo
- Kaiming He
- Paris Smaragdis
- Zhuo Chen
- Nima Mesgarani
- Dong Yu
- X. Zhang
- Geoffrey E. Hinton
- Yoshua Bengio
- John R. Hershey
Who trusts Huibin Lin overall
Papers from Huibin Lin's perspective
Ordered by how strongly the researchers Huibin Lin 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images