Tianhang Zheng
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 184 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 100 citations into it
- Safety, Robustness & Interpretability — 83 citations into it
- Computer Vision and Pattern Recognition — 43 citations into it
- Signal Processing — 18 citations into it
- Hardware and Architecture — 13 citations into it
- Model Architectures — 5 citations into it
- Optimization & Training — 5 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Tianhang Zheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian J. Goodfellow
- Alex Krizhevsky
- Geoffrey E. Hinton
- Christian Szegedy
- Alexey Kurakin
- Kaiming He
- Ilya Sutskever
- Nicholas Carlini
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Tianhang Zheng overall
Papers from Tianhang Zheng's perspective
Ordered by how strongly the researchers Tianhang Zheng 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
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Adversarial Attacks and Defenses in Deep Learning (2020) — 650 citations
- Distributionally Adversarial Attack (2018) — 137 citations