Xiaokai Wei
Artificial Intelligence · 2017–2022
A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 74 citations into it
- Representation & Self-Supervised Learning — 16 citations into it
- Statistical and Nonlinear Physics — 11 citations into it
- Graph Learning — 10 citations into it
- Molecular Biology — 9 citations into it
Whom Xiaokai Wei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aditya Grover
- Jure Leskovec
- Bryan Perozzi
- Tomas Mikolov
- Lada A. Adamic
- Linyuan Lu
- Lars Backstrom
- Aditya Krishna Menon
- Jian Tang
- Geoffrey E. Hinton
Who trusts Xiaokai Wei overall
Papers from Xiaokai Wei's perspective
Ordered by how strongly the researchers Xiaokai Wei 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Distilling the Knowledge in a Neural Network (arXiv.org)
Their papers
- Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner (2022) — 45 citations
- Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora (2021) — 153 citations
- Embedding Identity and Interest for Social Networks (2017) — 17 citations
- Cross View Link Prediction by Learning Noise-resilient Representation Consensus (2017) — 86 citations