Jiong Zhang

Artificial Intelligence · 2006–2018

A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #9,541 of 35,345 by trust here, #14,438 by citations
• Computer Vision and Pattern Recognition — 24 citations into it
• Computer Networks and Communications — 12 citations into it; #1,880 of 9,886 by trust here, #3,155 by citations
• Model Architectures — 11 citations into it
• Information Systems — 8 citations into it
• Signal Processing — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Jiong Zhang trusts overall

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

1. Eleazar Eskin
2. Wenke Lee
3. Tingyao Wu
4. Trevor J. Hastie
5. Charles Peter Elkan
6. Matthew V. Mahoney
7. Diederik P. Kingma
8. Yoshua Bengio
9. Kingsly Leung
10. Leo Breiman

Who trusts Jiong Zhang overall

1. Paulo Angelo Alves Resende
2. Zengqiang Yan
3. Jonathan J. Davis
4. André Costa Drummond
5. Nicholas Carlini
6. Anna L. Buczak
7. M. Aydin
8. Antanas Verikas
9. Levent Koc
10. Chuanlong Yin

Papers from Jiong Zhang's perspective

Ordered by how strongly the researchers Jiong 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. Gradient-based learning applied to document recognition
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. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Long Term Dependencies via Fourier Recurrent Units (2018) — 45 citations
• Anomaly Based Network Intrusion Detection with Unsupervised Outlier Detection (2006) — 274 citations
• Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores (2016) — 407 citations
• A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery (2016) — 13 citations
• Random-Forests-Based Network Intrusion Detection Systems (2008) — 564 citations