Yongliang Li

Artificial Intelligence · with Fan · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongliang Li trusts

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

  1. Jerome H. Friedman (in Artificial Intelligence)

Papers from Yongliang Li's perspective

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

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  3. Greedy function approximation: A gradient boosting machine.
  4. Heterogeneous Information Network Embedding for Recommendation (IEEE Transactions on Knowledge and Data Engineering)
  5. AUC: a misleading measure of the performance of predictive distribution models
  6. On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes
  7. Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers