Mu Zhu

Computational Statistics & Data Analysis · 2006–2011

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Whom Mu Zhu trusts overall

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

1. David Ruppert
2. Yehuda Koren
3. Josh Tenenbaum
4. Vin de Silva

Who trusts Mu Zhu overall

1. Matt C. Howard
2. J. D. de Winter
3. Avanti Athreya
4. Michael Hoffman
5. Dimitra Dodou
6. Hayden S. Helm
7. Mengting Wan
8. Peter A. Wieringa
9. Donniell E. Fishkind
10. Micah Hamady

Papers from Mu Zhu's perspective

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

1. A global geometric framework for nonlinear dimensionality reduction.
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
9. Learning Multiple Layers of Features from Tiny Images
10. Factorization meets the neighborhood: a multifaceted collaborative filtering model

Their papers

• Content-boosted matrix factorization for recommender systems: experiments with recipe recommendation (2011) — 142 citations
• Automatic dimensionality selection from the scree plot via the use of profile likelihood (2006) — 453 citations