Jun Zhang

Artificial Intelligence · Proceedings of the IEEE · 2013–2022

A researcher in the Science corpus: 7 papers; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 127 citations into it
• Computer Networks and Communications — 90 citations into it
• Signal Processing — 83 citations into it
• Software — 50 citations into it
• Information Systems — 48 citations into it
• Natural Language Processing — 35 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Safety, Robustness & Interpretability — 26 citations into it

Whom Jun Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Tomas Mikolov
3. Diederik P. Kingma
4. Isabelle M Guyon
5. Ilya Sutskever
6. Yoshua Bengio
7. Alex Krizhevsky
8. Kaiming He
9. Thuy T. T. Nguyen
10. Yann LeCun

Who trusts Jun Zhang overall

1. Fannia Pacheco
2. Raouf Boutaba
3. Muhammad Usama
4. Junyang Qiu

Papers from Jun Zhang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey (2022) — 321 citations
• Software Vulnerability Detection Using Deep Neural Networks: A Survey (2020) — 400 citations
• A Survey of Android Malware Detection with Deep Neural Models (2020) — 298 citations
• Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection (2018) — 296 citations
• Detecting and Preventing Cyber Insider Threats: A Survey (2018) — 341 citations
• Robust Network Traffic Classification (2015) — 359 citations
• Network Traffic Classification Using Correlation Information (2013) — 335 citations