Mao Ye

Computer Networks and Communications · Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2005–2012

A researcher in the Science corpus: 6 papers; trusts 33 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom Mao Ye trusts overall

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

  1. Hao Ma
  2. Gediminas Adomavicius
  3. Hanghang Tong
  4. Ioannis Konstas
  5. Mohsen Jamali
  6. Vincent Wenchen Zheng
  7. Ossama Younis
  8. Wendi Rabiner Heinzelman
  9. Daniel Billsus
  10. Alexander Tuzhilin

Who trusts Mao Ye overall

  1. Xuxun Liu
  2. Jie Bao
  3. Huiji Gao
  4. Yu Zheng
  5. Gao Cong
  6. Quan Yuan
  7. M. M. Afsar
  8. Guihai Chen
  9. Chen-Kuang Cheng
  10. Yong Liu

Papers from Mao Ye's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers