Xin Xu
Artificial Intelligence · with Wang · 2006–2020
A researcher in the Science corpus: 7 papers; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 71 citations into it
- Computer Vision and Pattern Recognition — 71 citations into it
- Reinforcement Learning — 37 citations into it
- Automotive Engineering — 25 citations into it
- Computational Theory and Mathematics — 22 citations into it
- Control and Systems Engineering — 20 citations into it
- Representation & Self-Supervised Learning — 20 citations into it
- Cognitive Neuroscience — 13 citations into it
Whom Xin Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Francis R. Bach
- Sridhar Mahadevan
- Andrew Barto
- Michael I. Jordan
- Ronald E. Parr
- John N. Tsitsiklis
- Thomas G. Dietterich
- Leslie Pack Kaelbling
- Geoffrey E. Hinton
Who trusts Xin Xu overall
Papers from Xin Xu's perspective
Ordered by how strongly the researchers Xin Xu 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Reinforcement Learning: An Introduction
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Visual Saliency Based on Scale-Space Analysis in the Frequency Domain (2013) — 587 citations
- Multiobjective Reinforcement Learning: A Comprehensive Overview (2015) — 412 citations
- Multi-view learning overview: Recent progress and new challenges (2017) — 935 citations
- A Clustering-Based Graph Laplacian Framework for Value Function Approximation in Reinforcement Learning (2014) — 38 citations
- Data-Driven Intelligent Transportation Systems: A Survey (2011) — 1,648 citations
- Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs (2020) — 125 citations
- Kernel Least-Squares Temporal Difference Learning (2006)