Chengzhong Xu
Artificial Intelligence · Cluster Computing · 2011–2022
A researcher in the Science corpus: 6 papers; trusts 317 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 98 citations into it
- Computer Vision and Pattern Recognition — 92 citations into it
- Efficiency & Compression — 49 citations into it
- Optimization & Training — 27 citations into it
- Model Architectures — 24 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- Electrical and Electronic Engineering — 9 citations into it
Whom Chengzhong Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- Karen Simonyan
- Ilya Sutskever
- Shaoqing Ren
- Diederik P. Kingma
- Ross B. Girshick
Who trusts Chengzhong Xu overall
Papers from Chengzhong Xu's perspective
Ordered by how strongly the researchers Chengzhong Xu 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
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Going deeper with convolutions
Their papers
- Dynamic Channel Pruning: Feature Boosting and Suppression (2018) — 348 citations
- RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr (2020) — 46 citations
- FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction (2022) — 423 citations
- Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis (2021) — 348 citations
- Pay Attention to Features, Transfer Learn Faster CNNs (2020) — 83 citations
- Performance and energy modeling for live migration of virtual machines (2011) — 499 citations