Lifeng Lai
Artificial Intelligence · 2006–2019
A researcher in the Science corpus: 8 papers; trusts 45 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it; #30,147 of 35,345 by trust here, #28,481 by citations
- Electrical and Electronic Engineering — 29 citations into it; #1,891 of 16,539 by trust here, #5,458 by citations
- Computer Networks and Communications — 27 citations into it; #1,716 of 9,886 by trust here, #1,826 by citations
- Computational Mechanics — 12 citations into it
- Optimization & Training — 10 citations into it; #2,566 of 2,601 by trust here, #2,519 by citations
- Statistics and Probability — 6 citations into it
Whom Lifeng Lai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Iroon Polytechniou
- Richard S. Sutton
- Andrew Barto
- Yingbin Liang
- Cong Xie
- Gerhard Kramer
- Claude E. Shannon
- Peva Blanchard
- Tze Leung Lai
- Lingjiao Chen
Who trusts Lifeng Lai overall
- Jehad M. Hamamreh
- Ruoheng Liu
- Yingbin Liang
- Zhu Han
- Ashish J. Khisti
- A. Mukherjee
- Haji. M. Furqan
- Xiangyun Zhou
- H. Vincent Poor
- Ivana Maric
Papers from Lifeng Lai's perspective
Ordered by how strongly the researchers Lifeng Lai trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Reinforcement Learning: An Introduction
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- On the Secrecy Capacity of Fading Channels (2006) — 1,312 citations
- Distributed Gradient Descent Algorithm Robust to an Arbitrary Number of Byzantine Attackers (2019) — 94 citations
- The Relay–Eavesdropper Channel: Cooperation for Secrecy (2006) — 792 citations
- On randomized distributed coordinate descent with quantized updates (2016) — 5 citations
- Cognitive Medium Access: Exploration, Exploitation, and Competition (2007) — 353 citations
- Communication Requirement for Reliable and Secure State Estimation and Control in Smart Grid (2011) — 108 citations
- Robust Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers (2018) — 8 citations
- Optimal selection of channel sensing order in cognitive radio (2009) — 320 citations