Kun Qian

Electrical and Electronic Engineering · ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kun Qian trusts overall

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

  1. Fadel M. Adib
  2. Zheng Yang
  3. Wen Wang
  4. Souvik Sen
  5. Daniel Halperin
  6. Jie Xiong
  7. Dina Katabi
  8. Johan Efberg
  9. Xiang Li
  10. Zachary Kabelac

Who trusts Kun Qian overall

  1. Yi Zhang
  2. Yue Zheng
  3. S. M. I. J. Andrew Zhang
  4. Guidong Zhang
  5. Yunhao Liu
  6. Chenshu Wu
  7. Chen Chen

Papers from Kun Qian's perspective

Ordered by how strongly the researchers Kun Qian 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers