Zhenpeng Zhou

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 79 citations into it
• Computational Theory and Mathematics — 26 citations into it
• Materials Chemistry — 20 citations into it
• Reinforcement Learning — 15 citations into it
• Computational Chemistry & Drug Discovery — 14 citations into it
• Model Architectures — 9 citations into it

Whom Zhenpeng Zhou trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Carlos Florensa
5. Alex Krizhevsky
6. S. Iravani
7. Yann LeCun
8. Robert Tibshirani
9. Ilya Sutskever
10. Marc'Aurelio Ranzato

Who trusts Zhenpeng Zhou overall

1. Austin Tripp
2. Kenneth Atz
3. Zaccary Alperstein
4. Tianfan Fu
5. Yuanqi Du
6. Jiaqi Guan
7. Kexin Huang
8. Tânia F Cova
9. Wenhao Gao
10. Loïc M. Roch

Papers from Zhenpeng Zhou's perspective

Ordered by how strongly the researchers Zhenpeng Zhou 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Continual Learning in Task-Oriented Dialogue Systems (2020) — 148 citations
• Optimization of Molecules via Deep Reinforcement Learning (2018) — 665 citations
• Optimizing Chemical Reactions with Deep Reinforcement Learning (2017) — 395 citations
• Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTracking (2021) — 97 citations