Chang Liu

Statistics and Probability · with Zhu · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 11 citations into it; #12,728 of 12,932 by trust here, #11,487 by citations
• Probabilistic & Bayesian Methods — 10 citations into it
• Applied Mathematics — 9 citations into it
• Artificial Intelligence — 7 citations into it
• Geometry and Topology — 6 citations into it
• Mathematical Physics — 5 citations into it

Whom Chang Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Felix Otto
2. Michael Betancourt
3. Luigi Ambrosio
4. Max Welling
5. Mark A. Girolami
6. Gareth O. Roberts
7. Tianqi Chen
8. Radford M. Neal
9. Qiang Liu
10. Yee Whye Teh

Who trusts Chang Liu overall

1. Zhenyi Wang
2. Yang Zhao
3. Li Shen

Papers from Chang Liu's perspective

Ordered by how strongly the researchers Chang Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Understanding MCMC Dynamics as Flows on the Wasserstein Space (2019) — 23 citations