Jie Xu
Electrical and Electronic Engineering · IEEE Conference on Computer Communications · 2017–2020
A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 36 citations into it; #4,858 of 16,539 by trust here, #8,627 by citations
- Computer Networks and Communications — 35 citations into it; #3,876 of 9,886 by trust here, #3,523 by citations
- Artificial Intelligence — 34 citations into it
- Federated & Distributed Learning — 17 citations into it
- Optimization & Training — 10 citations into it
- Reinforcement Learning — 5 citations into it
Whom Jie Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yuyi Mao
- Christodoulos A. Floudas
- Richard S. Sutton
- Jakub Konecný
- Jun Zhang
- Andrew Barto
- Sebastian U. Stich
- H. Brendan McMahan
- Dimitri P. Bertsekas
- Khaled Ben Letaief
Who trusts Jie Xu overall
- Fuhui Zhou
- M. A. Ganaie
- H. Hua
- Minghui Min
- Zhaolong Ning
- Chen-Feng Liu
- Yongpeng Wu
- Minghui Hu
- Jun Zhang
- Yutong Li
Papers from Jie Xu's perspective
Ordered by how strongly the researchers Jie Xu 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
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective (2020) — 457 citations
- EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks (2017) — 374 citations
- Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing (2017) — 317 citations
- Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks (2018) — 511 citations