Chang-Hong Hsu

Aerospace Engineering · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Aerospace Engineering — 10 citations into it

Whom Chang-Hong Hsu trusts overall

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

1. Ryan W. Wolcott

Papers from Chang-Hong Hsu's perspective

Ordered by how strongly the researchers Chang-Hong Hsu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Caffe: Convolutional Architecture for Fast Feature Embedding
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Are we ready for autonomous driving? The KITTI vision benchmark suite
5. Gradient-based learning applied to document recognition
6. Going deeper with convolutions
7. cuDNN: Efficient Primitives for Deep Learning
8. YOLO9000: Better, Faster, Stronger
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• The Architectural Implications of Autonomous Driving: Constraints and Acceleration (2018) — 488 citations
• Dynamo: Facebook's Data Center-Wide Power Management System (2016) — 158 citations