Jintao Zhang
IEEE Journal of Solid-State Circuits · with Verma · 2017
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Whom Jintao Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jintao Zhang overall
Papers from Jintao Zhang's perspective
Ordered by how strongly the researchers Jintao Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- In-Memory Computation of a Machine-Learning Classifier in a Standard 6T SRAM Array (2017) — 436 citations