Kai Zhang
Artificial Intelligence · with Chen · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it; #29,567 of 35,345 by trust here, #19,873 by citations
- Statistical and Nonlinear Physics — 17 citations into it
- Representation & Self-Supervised Learning — 14 citations into it; #2,681 of 3,145 by trust here, #2,805 by citations
- Computer Networks and Communications — 9 citations into it; #8,160 of 9,886 by trust here, #4,405 by citations
- Graph Learning — 8 citations into it
- Natural Language Processing — 8 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Kai Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Geoffrey E. Hinton
- Leman Akoglu
- Yoshua Bengio
- Andriy Mnih
- Ilya Sutskever
- Ulrike von Luxburg
- David E. Rumelhart
Who trusts Kai Zhang overall
Papers from Kai Zhang's perspective
Ordered by how strongly the researchers Kai Zhang 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Efficient Estimation of Word Representations in Vector Space
- ImageNet: A large-scale hierarchical image database
Their papers
- NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks (2018) — 406 citations
- Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events (2016) — 91 citations