A. K. Qin
Artificial Intelligence · 2005–2020
A researcher in the Science corpus: 9 papers; trusts 35 researchers and is trusted by 106 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 72 citations into it; #2,133 of 35,345 by trust here, #3,726 by citations
- Computational Theory and Mathematics — 31 citations into it; #202 of 12,182 by trust here, #341 by citations
- Control and Systems Engineering — 28 citations into it
- Building and Construction — 27 citations into it
- Transportation — 21 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Privacy & Security — 10 citations into it
- Optimization & Training — 5 citations into it
Whom A. K. Qin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jouni Lampinen
- Jason Teo
- Ponnuthurai Nagaratnam Suganthan
- Kalyanmoy Deb
- Wenjun Zhang
- Geoffrey E. Hinton
- Junhong Liu
- James Kennedy
- Xiao-Feng Xie
- Xin Yao
Who trusts A. K. Qin overall
- Pinar Çivicioglu
- Swagatam Das
- Ferrante Neri
- Ponnuthurai Nagaratnam Suganthan
- Weifeng Gao
- Wenyin Gong
- Ryoji Tanabe
- Zhenyu Yang
- Chao-hua Dai
- Zhihua Cai
Papers from A. K. Qin's perspective
Ordered by how strongly the researchers A. K. Qin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Evolutionary extreme learning machine (2005) — 817 citations
- Comprehensive learning particle swarm optimizer for global optimization of multimodal functions (2006) — 3,597 citations
- Self-adaptive differential evolution algorithm for numerical optimization (2005) — 1,283 citations
- Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization (2009) — 3,412 citations
- Self-adaptive Differential Evolution Algorithm for Constrained Real-Parameter Optimization (2006) — 322 citations
- Private spatial data aggregation in the local setting (2016) — 177 citations
- A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020) — 442 citations
- Evolutionary Multitasking via Explicit Autoencoding (2019) — 359 citations
- Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics (2017) — 742 citations