Zhenkai Liang
Artificial Intelligence · 2007–2019
A researcher in the Science corpus: 7 papers; trusts 238 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 121 citations into it
- Computer Vision and Pattern Recognition — 51 citations into it
- Signal Processing — 49 citations into it; #5,389 of 7,572 by trust here, #2,052 by citations
- Safety, Robustness & Interpretability — 47 citations into it
- Computer Networks and Communications — 32 citations into it; #6,907 of 9,886 by trust here, #5,133 by citations
- Privacy & Security — 18 citations into it
- Hardware and Architecture — 12 citations into it
- Information Systems — 12 citations into it; #5,846 of 8,771 by trust here, #5,303 by citations
Whom Zhenkai Liang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Christian Szegedy
- Yann LeCun
- Ian J. Goodfellow
- Ilya Sutskever
- Matthew D. Zeiler
- Kaiming He
- Diederik P. Kingma
Who trusts Zhenkai Liang overall
Papers from Zhenkai Liang's perspective
Ordered by how strongly the researchers Zhenkai Liang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment (2019) — 263 citations
- Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment (2019) — 71 citations
- Neural Nets Can Learn Function Type Signatures From Binaries (2017) — 179 citations
- Data-Oriented Programming: On the Expressiveness of Non-control Data Attacks (2016) — 429 citations
- Jump-oriented programming: a new class of code-reuse attack (2011) — 690 citations
- BitBlaze: A New Approach to Computer Security via Binary Analysis (2008) — 799 citations
- Polyglot: automatic extraction of protocol message format using dynamic binary analysis (2007) — 436 citations