Zhongqiang Huang

Natural Language Processing · with Bach · 2021

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 Zhongqiang Huang trusts overall

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

  1. Alan Akbik
  2. E. Tjong Kim Sang

Papers from Zhongqiang Huang's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Long Short-Term Memory
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Distilling the Knowledge in a Neural Network (arXiv.org)
  7. Language Models are Unsupervised Multitask Learners
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)

Their papers