Liang Huang
Computer Networks and Communications · with Bi · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 28 citations into it; #5,415 of 9,886 by trust here, #7,832 by citations
- Electrical and Electronic Engineering — 27 citations into it; #7,467 of 16,539 by trust here, #13,963 by citations
- Reinforcement Learning — 8 citations into it
- Artificial Intelligence — 7 citations into it
Whom Liang Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Suzhi Bi
- Longxin Lin
- Richard S. Sutton
- Diederik P. Kingma
- Stephen R. Marsland
- Tuyen X. Tran
- Andrew Barto
- Jimmy Ba
- Xianfu Chen
- Minghui Min
Who trusts Liang Huang overall
Papers from Liang Huang's perspective
Ordered by how strongly the researchers Liang Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Human-level control through deep reinforcement learning
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Deep Learning
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)