Samuel Hsia
2020–2021
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Samuel Hsia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Samuel Hsia overall
Papers from Samuel Hsia's perspective
Ordered by how strongly the researchers Samuel Hsia trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- In-datacenter performance analysis of a tensor processing unit
- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
- Wide & Deep Learning for Recommender Systems
- Neural Collaborative Filtering
- Matrix Factorization Techniques for Recommender Systems
- ImageNet classification with deep convolutional neural networks
- Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks
- Deep Interest Network for Click-Through Rate Prediction
- Deep Learning Recommendation Model for Personalization and Recommendation Systems
Their papers
- DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference (2020) — 211 citations
- RecSSD: near data processing for solid state drive based recommendation inference (2021) — 135 citations