Zizhong Chen

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Zizhong Chen trusts overall

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

1. Peter Lindstrom
2. Carla E. Brodley
3. Karen Simonyan

Papers from Zizhong Chen's perspective

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

1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers (2019) — 76 citations
• Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization (2017) — 310 citations