Pengda Qin

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Pengda Qin trusts overall

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

  1. Daojian Zeng
  2. Individualized Treat
  3. Alec Radford
  4. Thien Huu Nguyen
  5. Sebastian Riedel
  6. Diederik P. Kingma
  7. C. D. Santos
  8. Kang Liu
  9. Geoffrey E. Hinton
  10. Yoshua Bengio

Who trusts Pengda Qin overall

  1. Adyasha Maharana
  2. Mohit Bansal
  3. Zhiquan Ye
  4. Lingfeng Zhong
  5. Shaoxiong Ji
  6. Yichun Yin
  7. Zhenhua Ling
  8. Mihir Kale
  9. Baolin Peng
  10. Shirui Pan

Papers from Pengda Qin's perspective

Ordered by how strongly the researchers Pengda Qin 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. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. GENERATIVE ADVERSARIAL NETS
  10. ImageNet: A large-scale hierarchical image database

Their papers