Chongsheng Zhang

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Information Systems — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Chongsheng Zhang trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Chih-Jen Lin
4. Yoav Freund
5. Andrew P. Bradley
6. D. R. Cox
7. Rasmus Berg Palm
8. Naomi S. Altman
9. Corinna Cortes
10. Jesús Alcalá-Fdez

Papers from Chongsheng Zhang's perspective

Ordered by how strongly the researchers Chongsheng Zhang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Multi-Imbalance: An open-source software for multi-class imbalance learning (2019) — 162 citations
• An up-to-date comparison of state-of-the-art classification algorithms (2017) — 392 citations