Qiong Wu
Artificial Intelligence · with Chen · 2020
A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it
- Federated & Distributed Learning — 26 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Computer Networks and Communications — 16 citations into it
- Transportation — 7 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Qiong Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- H. Brendan McMahan
- Alex Krizhevsky
- Yoshua Bengio
- Geoffrey E. Hinton
- Chelsea Finn
- Yann LeCun
- Virginia Smith
- Qiang Yang
- Pascal Vincent
- Yiqiang Chen
Who trusts Qiong Wu overall
- Alysa Ziying Tan
- Dinh C. Nguyen
- Wei Xu
- Rodolfo Stoffel Antunes
- Han Yu
- Zhaohui Yang
- Ming Ding
- Jing Zhang
Papers from Qiong Wu's perspective
Ordered by how strongly the researchers Qiong Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- 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)
Their papers
- HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning (2020) — 426 citations
- Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge Based Framework (2020) — 348 citations
- FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring (2020) — 391 citations