Fengming Liu

Computer Networks and Communications · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 6 citations into it

Whom Fengming Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Thomas Stockhammer

Papers from Fengming Liu's perspective

Ordered by how strongly the researchers Fengming Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
2. YOLO9000: Better, Faster, Stronger
3. DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices
4. Dynamic adaptive streaming over HTTP --: standards and design principles (ACM SIGMM Conference on Multimedia Systems)
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Dynamic Adaptive DNN Surgery for Inference Acceleration on the Edge (2019) — 394 citations