Yizheng Chen
Artificial Intelligence · 2017–2023
A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it
- Safety, Robustness & Interpretability — 65 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Program Analysis & Verification — 13 citations into it
Whom Yizheng Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Ian J. Goodfellow
- Christian Szegedy
- Kaiming He
- Tomas Mikolov
Who trusts Yizheng Chen overall
- Huan Zhang
- Daniel Zügner
- Lichao Sun
- Stephan Günnemann
- Hadi Salman
- Binghui Wang
- Kaidi Xu
- Amir Akbarnejad
Papers from Yizheng Chen's perspective
Ordered by how strongly the researchers Yizheng Chen 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection (2023) — 342 citations
- MixTrain: Scalable Training of Formally Robust Neural Networks (2018) — 88 citations
- Practical Attacks Against Graph-based Clustering (2017) — 90 citations