Lidong Zhou

Computer Vision and Pattern Recognition · with Lu · 2020–2021

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

Subfields

Whom Lidong Zhou trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Lidong Zhou's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  5. Mask R-CNN
  6. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  7. Aggregated Residual Transformations for Deep Neural Networks
  8. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  9. SQuAD: 100,000+ Questions for Machine Comprehension of Text
  10. Neural Programmer-Interpreters

Their papers