W. Liao

Artificial Intelligence · Pacific-Asia Conference on Knowledge Discovery and Data Mining · 2003–2019

A researcher in the Science corpus: 8 papers; trusts 17 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom W. Liao trusts overall

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

  1. Rakesh Agrawal
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Yann LeCun
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Xavier Glorot
  8. Christian Szegedy
  9. Jiawei Han
  10. Kaiming He

Who trusts W. Liao overall

  1. Yu-Chiang Li
  2. Mengchi Liu
  3. Vincent Shin-Mu Tseng
  4. Chowdhury Farhan Ahmed
  5. Junfu Yin
  6. Jieh-Shan Yeh
  7. Philippe Fournier-Viger
  8. Cheng-Wei Wu
  9. Jun-Feng Qu

Papers from W. Liao's perspective

Ordered by how strongly the researchers W. Liao 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. GENERATIVE ADVERSARIAL NETS
  10. ImageNet: A large-scale hierarchical image database

Their papers