Lianqiang Zhou

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lianqiang Zhou trusts

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

  1. Ronald J. Williams (in Reinforcement Learning)
  2. Ilya Sutskever (in Artificial Intelligence)
  3. Yoshua Bengio (in Artificial Intelligence)

Papers from Lianqiang Zhou's perspective

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

  1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. Deep Reinforcement Learning for Dialogue Generation
  6. Neural Responding Machine for Short-Text Conversation
  7. A Persona-Based Neural Conversation Model
  8. Dual Learning for Machine Translation
  9. Neural personalized response generation as domain adaptation
  10. ImageNet classification with deep convolutional neural networks

Their papers