Shimin Gong

Electrical and Electronic Engineering · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shimin Gong trusts overall

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

  1. Qingqing Wu
  2. Rui Zhang
  3. Ertugrul Basar
  4. Xianghao Yu
  5. Shuowen Zhang
  6. Sha Hu
  7. M. Di Renzo
  8. Richard S. Sutton
  9. Chongwen Huang
  10. Cunhua Pan

Papers from Shimin Gong's perspective

Ordered by how strongly the researchers Shimin Gong 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. Reinforcement Learning: An Introduction
  5. Long Short-Term Memory
  6. Asynchronous Methods for Deep Reinforcement Learning
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Continuous control with deep reinforcement learning (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers