Ke-Lin Du

Artificial Intelligence · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #16,627 of 35,345 by trust here, #27,551 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #14,216 of 21,575 by trust here, #20,271 by citations
• Model Architectures — 9 citations into it

Whom Ke-Lin Du trusts overall

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

1. James R. Williamson
2. Sanghamitra Bandyopadhyay
3. Juha Vesanto
4. Teuvo Kohonen
5. Tapas Kanungo
6. Stephen Grossberg
7. Ujjwal Maulik
8. Esa Alhoniemi
9. Gail A. Carpenter
10. David E. Rumelhart

Who trusts Ke-Lin Du overall

1. Iqbal H. Sarker
2. Yen-Chang Hsu
3. Lida Xu
4. Mohammad Mustafa Taye
5. K. J. Joseph
6. Francisca Adoma Acheampong
7. Tong Qin

Papers from Ke-Lin Du's perspective

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

1. Algorithms for Clustering Data
2. An Efficient k-Means Clustering Algorithm: Analysis and Implementation
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Optimization by Simulated Annealing
6. Gaussian ARTMAP: A Neural Network for Fast Incremental Learning of Noisy Multidimensional Maps
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Neural Networks and Statistical Learning (2013) — 357 citations
• Clustering: A neural network approach (2010) — 322 citations