Zhichao Huang
Artificial Intelligence · with Zhang · 2019–2022
A researcher in the Science corpus: 2 papers; trusts 263 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 83 citations into it; #24,228 of 35,345 by trust here, #28,481 by citations
- Computer Vision and Pattern Recognition — 34 citations into it
- Safety, Robustness & Interpretability — 30 citations into it; #1,593 of 2,251 by trust here, #2,231 by citations
- Signal Processing — 8 citations into it
- Model Architectures — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Zhichao Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Ian J. Goodfellow
- Geoffrey E. Hinton
- Yann LeCun
- Christian Szegedy
- Karen Simonyan
- Yoshua Bengio
- Diederik P. Kingma
- Ross B. Girshick
Who trusts Zhichao Huang overall
Papers from Zhichao Huang's perspective
Ordered by how strongly the researchers Zhichao Huang 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Black-box Prompt Learning for Pre-trained Language Models (2022) — 90 citations
- Black-Box Adversarial Attack with Transferable Model-based Embedding (2019) — 135 citations