Haoti Zhong

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Safety, Robustness & Interpretability — 17 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Haoti Zhong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Yann LeCun
3. Yoshua Bengio
4. L. Eon Bottou
5. Geoffrey E. Hinton
6. Diederik P. Kingma
7. Ilya Sutskever
8. Christian Szegedy
9. Jia Deng
10. Kaiming He

Who trusts Haoti Zhong overall

1. Anna Schmidt
2. Michael Wiegand
3. Ziqi Zhang
4. Jing Qian
5. Aniruddha Saha
6. David Robinson

Papers from Haoti Zhong's perspective

Ordered by how strongly the researchers Haoti Zhong trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation (2018) — 353 citations
• Content-Driven Detection of Cyberbullying on the Instagram Social Network (2016) — 175 citations