Weiqing Liu
Artificial Intelligence · 2017–2021
A researcher in the Science corpus: 3 papers; trusts 47 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it
- Computer Vision and Pattern Recognition — 36 citations into it
- Model Architectures — 20 citations into it
- Scaling & Learning Theory — 20 citations into it
- Optimization & Training — 19 citations into it
- Statistical Learning Theory — 12 citations into it
Whom Weiqing Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Tomas Mikolov
- Yann LeCun
- Diederik P. Kingma
- Ilya Sutskever
- Qi-sheng Gao
- Ross B. Girshick
Who trusts Weiqing Liu overall
Papers from Weiqing Liu's perspective
Ordered by how strongly the researchers Weiqing Liu 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Model complexity of deep learning: a survey (2021) — 399 citations
- Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction (2017) — 345 citations
- Learning to Reweight with Deep Interactions (2021) — 6 citations