Xinyu Xing

Artificial Intelligence · with Liu · 2013–2019

A researcher in the Science corpus: 10 papers; trusts 218 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 178 citations into it; #35,049 of 35,345 by trust here, #11,490 by citations
• Safety, Robustness & Interpretability — 112 citations into it
• Computer Vision and Pattern Recognition — 98 citations into it
• Signal Processing — 60 citations into it
• Representation & Self-Supervised Learning — 33 citations into it
• Optimization & Training — 22 citations into it
• Natural Language Processing — 21 citations into it
• Model Architectures — 15 citations into it

Whom Xinyu Xing trusts overall

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

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

Who trusts Xinyu Xing overall

1. Zhiyi Tian

Papers from Xinyu Xing's perspective

Ordered by how strongly the researchers Xinyu Xing 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Adversary Resistant Deep Neural Networks with an Application to Malware Detection (2016) — 181 citations
• LEMNA: Explaining Deep Learning based Security Applications (2018) — 348 citations
• TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems (2019) — 245 citations
• Log2vec: A Heterogeneous Graph Embedding Based Approach for Detecting Cyber Threats within Enterprise (2019) — 335 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
• Take This Personally: Pollution Attacks on Personalized Services (2013) — 60 citations