Hongsong Zhu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongsong Zhu trusts

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

  1. Diederik P. Kingma (in Artificial Intelligence)
  2. Jimmy Ba (in Artificial Intelligence)

Papers from Hongsong Zhu's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. SGDR: Stochastic Gradient Descent with Warm Restarts
  3. Kernel Methods for Relation Extraction
  4. Incremental Joint Extraction of Entity Mentions and Relations
  5. Modeling Relations and Their Mentions without Labeled Text
  6. Creating Training Corpora for NLG Micro-Planners
  7. Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme (Annual Meeting of the Association for Computational Linguistics)
  8. Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism (Annual Meeting of the Association for Computational Linguistics)
  9. Entity-Relation Extraction as Multi-Turn Question Answering (Annual Meeting of the Association for Computational Linguistics)
  10. Bridging the Gap between Training and Inference for Neural Machine Translation

Their papers