Shangce Gao
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it
- Computational Theory and Mathematics — 19 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Shangce Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Amir H. Gandomi
- Bilal Alatas
- Salvador Garcia
- Seyedali Mirjalili
- Xin-She Yang
- Manuel López-Ibáñez
- Sebastian Ruder
- Swagatam Das
- Dervis Karaboga
- Ponnuthurai Nagaratnam Suganthan
Papers from Shangce Gao's perspective
Ordered by how strongly the researchers Shangce Gao trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- No free lunch theorems for optimization
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Attention is All you Need (Neural Information Processing Systems)
- Genetic Algorithms in Search Optimization and Machine Learning
- A new optimizer using particle swarm theory
Their papers
- Routing in Internet of Vehicles: A Review (2015) — 360 citations
- Chaotic Local Search-Based Differential Evolution Algorithms for Optimization (2021) — 310 citations
- Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction (2019) — 577 citations