Yue Qiu

Mechanical Engineering · 2020

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

Subfields

• Mechanical Engineering — 28 citations into it
• Computational Mechanics — 9 citations into it

Whom Yue Qiu trusts overall

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

1. I. Mudawar
2. Sung-Min Kim
3. Didrik Nielsen
4. James Bergstra

Papers from Yue Qiu's perspective

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

1. Random Search for Hyper-Parameter Optimization
2. Adaptive switching circuits
3. Universal approach to predicting saturated flow boiling heat transfer in mini/micro-channels - Part II. Two-phase heat transfer coefficient
4. Tree Boosting With XGBoost - Why Does XGBoost Win "Every" Machine Learning Competition?
5. Two-Phase Microchannel Heat Sinks: Theory, Applications, and Limitations
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Machine learning algorithms to predict flow condensation heat transfer coefficient in mini/micro-channel utilizing universal data (2020) — 165 citations
• An artificial neural network model to predict mini/micro-channels saturated flow boiling heat transfer coefficient based on universal consolidated data (2020) — 139 citations