Ran Cheng

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 17 papers; trusts 383 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Ran Cheng trusts overall

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

  1. Kalyanmoy Deb
  2. Eckart Zitzler
  3. Qingfu Zhang
  4. Yaochu Jin
  5. James Kennedy
  6. Zhenyu Yang
  7. Hui Li
  8. Simon Huband
  9. Lothar Thiele
  10. Jing J. Liang

Who trusts Ran Cheng overall

  1. Ye Tian
  2. Yaochu Jin
  3. Xing-yi Zhang
  4. Guo Yu
  5. Xiutao Zheng
  6. Tinkle Chugh
  7. Shenkai Gu
  8. Markus Olhofer
  9. Handing Wang
  10. Chaoli Sun

Papers from Ran Cheng's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers