Chaoli Sun

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it; #22,233 of 35,345 by trust here, #24,417 by citations
• Computational Theory and Mathematics — 27 citations into it; #7,472 of 12,182 by trust here, #6,463 by citations

Whom Chaoli Sun trusts overall

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

1. Yaochu Jin
2. Joshua D. Knowles
3. Chia-Feng Juang
4. Ran Cheng
5. Qingfu Zhang
6. Yew-Soon Ong
7. R. Eberhart
8. Bo Liu
9. Yourim Yoon
10. Dirk Büche

Who trusts Chaoli Sun overall

1. Handing Wang
2. Yaochu Jin
3. Javier Del Ser

Papers from Chaoli Sun's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. ParEGO: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems (IEEE Transactions on Evolutionary Computation)
4. A framework for evolutionary optimization with approximate fitness functions (IEEE Transactions on Evolutionary Computation)
5. Bagging Predictors
6. Long Short-Term Memory
7. A Survey on Transfer Learning
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Genetic Algorithms in Search Optimization and Machine Learning
10. Ieee Transactions on Systems, Man and Cybernetics 1 Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization

Their papers

• Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems (2017) — 363 citations
• Offline Data-Driven Evolutionary Optimization Using Selective Surrogate Ensembles (2019) — 213 citations