Zhong Jin

IEEE Transactions on Pattern Analysis and Machine Intelligence · with Yang · 2001–2014

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Whom Zhong Jin trusts overall

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

1. Burr Settles
2. Steve Lawrence
3. Bernhard Schölkopf
4. Dengyong Zhou
5. C. Lee Giles

Who trusts Zhong Jin overall

1. Jieping Ye
2. Weikuan Jia
3. Tatyana V. Bandos Marsheva
4. Meng Joo Er
5. Meili Sun
6. Lorenzo Bruzzone
7. Shiqian Wu

Papers from Zhong Jin's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. The Nature of Statistical Learning Theory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
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. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Combining Active Learning and Semi-supervised Learning Using Local and Global Consistency (2014) — 13 citations
• KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition (2005) — 899 citations
• Face recognition based on the uncorrelated discriminant transformation (2001) — 403 citations