Yanbang Wang
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it
- Graph Learning — 33 citations into it
- Statistical and Nonlinear Physics — 32 citations into it
- Molecular Biology — 17 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Information Systems — 8 citations into it
Whom Yanbang Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Kipf
- William L. Hamilton
- Jure Leskovec
- Max Welling
- Geoffrey E. Hinton
- Rakshit S. Trivedi
- Da Xu
- Diederik P. Kingma
- David E. Rumelhart
- Yoshua Bengio
Who trusts Yanbang Wang overall
Papers from Yanbang Wang's perspective
Ordered by how strongly the researchers Yanbang Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks (2021) — 355 citations
- Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning (2020) — 382 citations