Ailin Deng
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #11,683 of 35,345 by trust here, #25,040 by citations
- Signal Processing — 8 citations into it; #2,136 of 7,572 by trust here, #4,900 by citations
- Computer Networks and Communications — 6 citations into it; #2,454 of 9,886 by trust here, #6,217 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
- Graph Learning — 5 citations into it
Whom Ailin Deng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Charu C. Aggarwal
- Stephen G. Kobourov
- Geoffrey E. Hinton
- Aditya P. Mathur
- L. V. D. van der Maaten
- Max Welling
- Aleksandar Lazarevic
- Fabrizio Angiulli
- Bernhard Schölkopf
Who trusts Ailin Deng overall
- Shreshth Tuli
- Jiehui Xu
- Hongzuo Xu
- Kukjin Choi
- Yiyuan Yang
- Guangtao Fu
- Zekai Chen
- Ming Jin
- Konstantinos Benidis
- Giuliano Casale
Papers from Ailin Deng's perspective
Ordered by how strongly the researchers Ailin Deng 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Graph Neural Network-Based Anomaly Detection in Multivariate Time Series (2021) — 1,434 citations