Xuanzhe Liu
Artificial Intelligence · with Bian · 2017–2020
A researcher in the Science corpus: 3 papers; trusts 39 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 55 citations into it
- Computer Vision and Pattern Recognition — 29 citations into it
- Efficiency & Compression — 18 citations into it
- Model Architectures — 12 citations into it
- Electrical and Electronic Engineering — 10 citations into it
Whom Xuanzhe Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Xuanzhe Liu overall
Papers from Xuanzhe Liu's perspective
Ordered by how strongly the researchers Xuanzhe Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction (2017) — 345 citations
- Federated Neural Architecture Search (2020) — 37 citations
- Neural Architecture Search over Decentralized Data (2020) — 7 citations