Xue Liu

Artificial Intelligence · 2010 Proceedings IEEE INFOCOM · 2007–2019

A researcher in the Science corpus: 14 papers; trusts 110 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 126 citations into it; #26,323 of 35,345 by trust here, #13,962 by citations
• Computer Vision and Pattern Recognition — 71 citations into it; #16,145 of 21,575 by trust here, #16,367 by citations
• Information Systems — 71 citations into it; #4,372 of 8,771 by trust here, #3,098 by citations
• Computer Networks and Communications — 68 citations into it; #6,514 of 9,886 by trust here, #1,422 by citations
• Safety, Robustness & Interpretability — 64 citations into it
• Signal Processing — 35 citations into it
• Electrical and Electronic Engineering — 34 citations into it; #9,626 of 16,539 by trust here, #8,176 by citations
• Hardware and Architecture — 30 citations into it; #1,464 of 1,551 by trust here, #1,153 by citations

Whom Xue Liu trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Yann LeCun
5. Yoshua Bengio
6. Ruining He
7. William M. Waite
8. Ilya Sutskever
9. Ian J. Goodfellow
10. Christian Szegedy

Who trusts Xue Liu overall

1. Siddhartha Kumar Khaitan
2. Kun Zhou
3. Fanxin Kong

Papers from Xue Liu's perspective

Ordered by how strongly the researchers Xue Liu 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Adversary Resistant Deep Neural Networks with an Application to Malware Detection (2016) — 181 citations
• Electronic frog eye: Counting crowd using WiFi (2014) — 378 citations
• Dynamic Voltage Scaling in Multitier Web Servers with End-to-End Delay Control (2007) — 302 citations
• Rapid (2017) — 409 citations
• Hierarchical Gating Networks for Sequential Recommendation (2019) — 411 citations
• An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks (2017) — 66 citations
• Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks (2016) — 10 citations
• Learning Adversary-Resistant Deep Neural Networks (2016) — 4 citations
• Using Non-invertible Data Transformations to Build Adversarial-Robust Neural Networks (2016) — 10 citations
• Learning Adversary-Resistant Deep Neural Networks (2016) — 44 citations
• A Survey on Green-Energy-Aware Power Management for Datacenters (2014) — 149 citations
• Minimizing Electricity Cost: Optimization of Distributed Internet Data Centers in a Multi-Electricity-Market Environment (2010) — 550 citations
• GreenCloud: a new architecture for green data center (2009) — 468 citations
• PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks (2007) — 486 citations