Ke-sheng Wang

Artificial Intelligence · 2008–2017

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Ke-sheng Wang trusts overall

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

1. Daniel Bratton

Who trusts Ke-sheng Wang overall

1. Bo Wang

Papers from Ke-sheng Wang's perspective

Ordered by how strongly the researchers Ke-sheng Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Continuous-Time Mean-Variance Portfolio Selection: A Stochastic LQ Framework
2. Defining a Standard for Particle Swarm Optimization (IEEE Symposium on Swarm Intelligence)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Neural Networks for Pattern Recognition
6. The Nature of Statistical Learning Theory
7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
8. Bayesian learning for neural networks
9. Using the Nyström Method to Speed Up Kernel Machines
10. Bayesian Interpolation

Their papers

• Particle Swarm Optimization (PSO) for the constrained portfolio optimization problem (2011) — 326 citations
• Industry 4.0: a way from mass customization to mass personalization production (2017) — 457 citations
• Reliable multi-objective optimization of high-speed WEDM process based on Gaussian process regression (2008) — 247 citations