Yu-Chin Chan

Mechanics of Materials · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Mechanics of Materials — 16 citations into it
• Civil and Structural Engineering — 13 citations into it
• Computational Theory and Mathematics — 12 citations into it
• Artificial Intelligence — 9 citations into it
• Statistics and Probability — 8 citations into it

Whom Yu-Chin Chan trusts overall

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

1. Liang Xia
2. Grace Wahba
3. Ilya M. Sobol
4. Xiaoping Qian
5. Robert B. Gramacy
6. Christopher K. I. Williams
7. Tianqi Chen
8. Erik Andreassen
9. Leonardo S. Bastos
10. Shiwei Zhou

Who trusts Yu-Chin Chan overall

1. Lyle Regenwetter

Papers from Yu-Chin Chan's perspective

Ordered by how strongly the researchers Yu-Chin Chan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
2. GENERATIVE ADVERSARIAL NETS
3. Deep Learning
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Spline Models for Observational Data
7. Using the Nyström Method to Speed Up Kernel Machines
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Gradient-based learning applied to document recognition

Their papers

• Globally Approximate Gaussian Processes for Big Data With Application to Data-Driven Metamaterials Design (2019) — 57 citations
• Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems (2020) — 318 citations