Ji Wang

Artificial Intelligence · with Sun · 2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it; #34,764 of 35,345 by trust here, #25,040 by citations
• Computer Vision and Pattern Recognition — 26 citations into it
• Safety, Robustness & Interpretability — 23 citations into it
• Graph Learning — 17 citations into it

Whom Ji Wang trusts overall

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

1. Geoffrey E. Hinton
2. Cynthia Dwork
3. Yann LeCun
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ian J. Goodfellow
7. Diederik P. Kingma
8. Kaiming He
9. Ilya Sutskever
10. L. Eon Bottou

Who trusts Ji Wang overall

1. Seyed Iman Mirzadeh
2. Lichao Sun
3. Mehrdad Farajtabar
4. Lingjuan Lyu
5. Ang Li

Papers from Ji Wang's perspective

Ordered by how strongly the researchers Ji Wang 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Private Model Compression via Knowledge Distillation (2018) — 133 citations
• Adversarial Attack and Defense on Graph Data: A Survey (2018) — 389 citations