Kay Chen Tan

Artificial Intelligence · 2000–2023

A researcher in the Science corpus: 14 papers; trusts 99 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Kay Chen Tan trusts overall

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

  1. Kalyanmoy Deb
  2. David E. Goldberg
  3. Eckart Zitzler
  4. Yaochu Jin
  5. Geoffrey E. Hinton
  6. Qingfu Zhang
  7. Joshua D. Knowles
  8. Thomas Bäck
  9. Lothar Thiele
  10. Yew-Soon Ong

Who trusts Kay Chen Tan overall

  1. Hui Li
  2. Beatrice M. Ombuki-Berman
  3. Qingfu Zhang
  4. Shouyong Jiang
  5. Shengxiang Yang
  6. Aimin Zhou
  7. Olli Bräysy
  8. Michalis Mavrovouniotis
  9. Carlos Artemio Coello Coello
  10. Yew-Soon Ong

Papers from Kay Chen Tan's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. GENERATIVE ADVERSARIAL NETS
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers