Longxiang Gao
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 54 citations into it
- Computer Networks and Communications — 49 citations into it
- Electrical and Electronic Engineering — 23 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Optimization & Training — 10 citations into it
Whom Longxiang Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Longxiang Gao overall
Papers from Longxiang Gao's perspective
Ordered by how strongly the researchers Longxiang Gao 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
- Long Short-Term Memory
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions (2018) — 459 citations
- Asynchronous Federated Learning on Heterogeneous Devices: A Survey (2021) — 388 citations
- Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing (2020) — 386 citations
- Fog Computing: Focusing on Mobile Users at the Edge (2015) — 481 citations