Shiqing Ma
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 5 papers; trusts 103 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 147 citations into it; #21,076 of 35,345 by trust here, #13,962 by citations
- Safety, Robustness & Interpretability — 105 citations into it
- Computer Vision and Pattern Recognition — 64 citations into it
- Signal Processing — 57 citations into it
- Natural Language Processing — 19 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- Media Technology — 7 citations into it
- Model Architectures — 5 citations into it
Whom Shiqing Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Kaiming He
- Yoshua Bengio
- Andrew Zisserman
- Yann LeCun
- Diederik P. Kingma
- Ilya Sutskever
- Ian J. Goodfellow
Who trusts Shiqing Ma overall
- Eugene Bagdasarian
- Anh Gia-Tuan Nguyen
- Vitaly Shmatikov
- Yige Li
- Wenkai Yang
- Khoa D Doan
- Edward Chou
- Ziqi Yang
- Ahmed Salem
- Kang Liu
Papers from Shiqing Ma's perspective
Ordered by how strongly the researchers Shiqing Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Dynamic Backdoor Attacks Against Machine Learning Models (2020) — 335 citations
- BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements (2020) — 363 citations
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation (2019) — 558 citations
- Trojaning Attack on Neural Networks (2018) — 1,421 citations
- Trojaning Attack on Neural Networks (2018) — 362 citations