Yifei Ding
Artificial Intelligence · 2016–2021
A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it
- Control and Systems Engineering — 20 citations into it
- Model Architectures — 17 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Mechanical Engineering — 14 citations into it
- Signal Processing — 7 citations into it
- Mechanics of Materials — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Yifei Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Jimmy Ba
- Kaiming He
- Yoshua Bengio
- Sepp Hochreiter
- Alex Krizhevsky
- Christian Szegedy
- David E. Rumelhart
- J. Urgen Schmidhuber
Papers from Yifei Ding's perspective
Ordered by how strongly the researchers Yifei Ding 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings (2021) — 447 citations
- A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings (2021) — 332 citations
- Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets (2016) — 689 citations