Kunqing Xie
Artificial Intelligence · 2010–2021
A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it; #15,414 of 35,345 by trust here, #19,018 by citations
- Building and Construction — 18 citations into it; #1,491 of 2,909 by trust here, #537 by citations
- Transportation — 16 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Statistical and Nonlinear Physics — 12 citations into it; #8,593 of 10,127 by trust here, #6,421 by citations
- Optimization & Training — 9 citations into it
- Computational Mechanics — 6 citations into it; #4,574 of 10,001 by trust here, #6,287 by citations
- Computer Networks and Communications — 6 citations into it
Whom Kunqing Xie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Diederik P. Kingma
- David Kempe
- Ilya Sutskever
- Ian J. Goodfellow
- Stephen Clark
Who trusts Kunqing Xie overall
Papers from Kunqing Xie's perspective
Ordered by how strongly the researchers Kunqing Xie 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting (2021) — 738 citations
- Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014) — 1,046 citations
- Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework (2014) — 43 citations
- Community-based greedy algorithm for mining top-K influential nodes in mobile social networks (2010) — 583 citations