Haosheng Zou

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Reinforcement Learning — 15 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Haosheng Zou trusts overall

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

1. Chelsea Finn
2. Richard S. Sutton
3. Andrew Barto
4. Sergey Levine
5. Geoffrey E. Hinton
6. Pieter Abbeel
7. Alex Krizhevsky
8. Yoshua Bengio
9. Diederik P. Kingma
10. Oriol Vinyals

Who trusts Haosheng Zou overall

1. Khimya Khetarpal
2. Youngmin Oh
3. Yevgen Chebotar
4. Matthew Riemer
5. Jinwoo Shin

Papers from Haosheng Zou's perspective

Ordered by how strongly the researchers Haosheng Zou 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Reward Shaping via Meta-Learning (2019) — 80 citations
• Geometric Universality of Adversarial Examples in Deep Learning (2018)