Justin Zhijun Zhan

Artificial Intelligence · with Canny · 2003–2015

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #8,165 of 35,345 by trust here, #18,586 by citations
• Privacy & Security — 21 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Information Systems — 9 citations into it
• Natural Language Processing — 6 citations into it
• Statistics and Probability — 5 citations into it

Whom Justin Zhijun Zhan trusts overall

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

1. Pascal Paillier
2. Jiawei Han
3. Wenliang Du
4. Jaideep Vaidya
5. Micheline Kamber
6. Zhijun Zhan
7. Alexandre V. Evfimievski
8. Yu Zhu
9. Rakesh Agrawal
10. Shafi Goldwasser

Who trusts Justin Zhijun Zhan overall

1. Wenliang Du
2. Gang Liang
3. Qingchen Zhang
4. Zhengli Huang
5. Li Liu
6. Zhiqiang Yang
7. Jaideep Vaidya
8. Fatih Emekçi
9. Sudarshan S. Chawathe
10. Sheng Zhong

Papers from Justin Zhijun Zhan's perspective

Ordered by how strongly the researchers Justin Zhijun Zhan 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. Gradient-based learning applied to document recognition
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Sentiment analysis using product review data (2015) — 740 citations
• P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users (2010) — 68 citations
• Privacy-preserving collaborative data mining (2007) — 62 citations
• Using randomized response techniques for privacy-preserving data mining (2003) — 342 citations