Bor-Yiing Su

Computer Networks and Communications · 2009–2020

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 32 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it; #14,706 of 21,575 by trust here, #11,286 by citations
• Information Systems — 27 citations into it
• ML Systems & Hardware — 21 citations into it
• Hardware and Architecture — 16 citations into it

Whom Bor-Yiing Su trusts overall

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

1. Pablo Arbeláez
2. Jitendra Malik
3. Michael Maire
4. Jianbo Shi
5. Charless C. Fowlkes
6. Rainer Lienhart
7. Nathan Bell
8. Kesheng Wu
9. David R. Martin
10. Chunhui Gu

Who trusts Bor-Yiing Su overall

1. Piotr Doll'ar
2. Iasonas Kokkinos
3. Cong Xie
4. C. Lawrence Zitnick
5. Olga Russakovsky
6. John R. Nickolls
7. Marius Leordeanu

Papers from Bor-Yiing Su's perspective

Ordered by how strongly the researchers Bor-Yiing Su trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Caffe: Convolutional Architecture for Fast Feature Embedding
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Efficient, high-quality image contour detection (2009) — 143 citations
• Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems (2020) — 107 citations
• CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery (2020) — 47 citations
• Scaling Distributed Machine Learning with the Parameter Server (2014) — 1,926 citations