Xiaohang Jin

Safety, Risk, Reliability and Quality · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Safety, Risk, Reliability and Quality — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Statistics and Probability — 7 citations into it

Whom Xiaohang Jin trusts overall

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

1. R. Fisher
2. Masashi Sugiyama
3. Shuicheng Yan
4. Sam T. Roweis
5. Xiaofei He
6. Josh Tenenbaum
7. David Roi Hardoon
8. Jun Liu
9. Deng Cai
10. Huan Wang

Who trusts Xiaohang Jin overall

1. Shen Zhang
2. Yaguo Lei
3. Xiang Li
4. Shibo Zhang
5. Minghang Zhao
6. Bingnan Wang
7. Thomas G. Habetler
8. Qian Ding
9. Myeongsu Kang
10. Feng Jia

Papers from Xiaohang Jin's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem (2016) — 312 citations
• Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis (2014) — 383 citations