Lun-Wei Ku

Artificial Intelligence · 2006–2021

A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Lun-Wei Ku trusts overall

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

  1. Minqing Hu
  2. Janyce Wiebe
  3. Hiroya Takamura
  4. B. Liu
  5. Ellen Riloff
  6. Theresa Wilson
  7. Takashi Inui
  8. Kushal Dave
  9. Bing Liu
  10. Bo Pang

Who trusts Lun-Wei Ku overall

  1. B. Liu
  2. Lei Zhang
  3. Kim Schouten
  4. Mikalai Tsytsarau
  5. Fangzhao Wu
  6. Haiyun Peng
  7. Xiaojun Wan
  8. Erik Cambria
  9. Saif M. Mohammad
  10. Flavius Frasincar

Papers from Lun-Wei Ku's perspective

Ordered by how strongly the researchers Lun-Wei Ku trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  2. GloVe: Global Vectors for Word Representation
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet classification with deep convolutional neural networks
  7. Thumbs up? Sentiment Classification using Machine Learning Techniques
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers