Shouhuai Xu
Artificial Intelligence · 2002–2019
A researcher in the Science corpus: 7 papers; trusts 22 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 77 citations into it; #18,724 of 35,345 by trust here, #20,377 by citations
- Information Systems — 72 citations into it; #4,282 of 8,771 by trust here, #3,012 by citations
- Computer Networks and Communications — 34 citations into it; #5,388 of 9,886 by trust here, #7,140 by citations
- Computer Vision and Pattern Recognition — 19 citations into it
- Computational Theory and Mathematics — 17 citations into it; #10,614 of 12,182 by trust here, #8,756 by citations
- Privacy & Security — 6 citations into it; #677 of 709 by trust here, #570 by citations
Whom Shouhuai Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Johannes Blömer
- Amit Sahai
- Brent Waters
- Dan Boneh
- Tatsuaki Okamoto
- Hugo Krawczyk
- Diederik P. Kingma
- Alex Graves
- Sung-Ju Lee
- J. Urgen Schmidhuber
Who trusts Shouhuai Xu overall
- Seyit Ahmet Camtepe
- Sencun Zhu
- Guanjun Lin
- Yi Li
- Michael Fu
- Saikat Chakraborty
- Jiale Zhang
- Xiangqian Chen
- Yizheng Chen
- Michael Pradel
Papers from Shouhuai Xu's perspective
Ordered by how strongly the researchers Shouhuai Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Key-Insulated Public Key Cryptosystems (2002) — 412 citations
- A Survey on Ethereum Systems Security (2019) — 551 citations
- <inline-formula><tex-math notation="LaTeX">$\mu$</tex-math><alternatives><mml:math><mml:mi>μ</mml:mi></mml:math><inline-graphic xlink:href="zou-ieq1-2942930.gif"/></alternatives></inline-formula>VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection (2019) — 341 citations
- SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities (2018) — 781 citations
- A Security Analysis of Honeywords (2018) — 1,132 citations
- VABKS: Verifiable attribute-based keyword search over outsourced encrypted data (2014) — 497 citations
- Establishing pairwise keys for secure communication in ad hoc networks: a probabilistic approach (2003) — 392 citations