Bo Liu

Computational Theory and Mathematics · with Gielen · 2014

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computational Theory and Mathematics — 8 citations into it; #6,144 of 12,182 by trust here, #7,851 by citations
• Artificial Intelligence — 6 citations into it; #18,783 of 35,345 by trust here, #27,551 by citations

Whom Bo Liu trusts overall

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

1. Donald R. Jones
2. Yaochu Jin
3. Michael L. Stein
4. John E. Dennis Jr.
5. Michael T. M. Emmerich
6. Dirk Büche
7. L. V. D. van der Maaten
8. Qingfu Zhang
9. Dudy Lim
10. Kyriakos C. Giannakoglou

Who trusts Bo Liu overall

1. Handing Wang
2. Yaochu Jin
3. Chaoli Sun
4. John James Doherty
5. Ran Cheng

Papers from Bo Liu's perspective

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

1. Efficient Global Optimization of Expensive Black-Box Functions
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels (IEEE Transactions on Evolutionary Computation)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. A comprehensive survey of fitness approximation in evolutionary computation (Soft Computing - A Fusion of Foundations, Methodologies and Applications)
10. Going deeper with convolutions

Their papers

• A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems (2014) — 512 citations