Hsien-Hsin S. Lee
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 7 papers; trusts 26 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 160 citations into it; #33,184 of 35,345 by trust here, #13,353 by citations
- Computer Vision and Pattern Recognition — 140 citations into it
- Computer Networks and Communications — 81 citations into it
- Privacy & Security — 20 citations into it
- Computational Theory and Mathematics — 15 citations into it
Whom Hsien-Hsin S. Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Hsien-Hsin S. Lee overall
Papers from Hsien-Hsin S. Lee's perspective
Ordered by how strongly the researchers Hsien-Hsin S. Lee 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
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
Their papers
- Chasing Carbon: The Elusive Environmental Footprint of Computing (2020) — 376 citations
- DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference (2020) — 211 citations
- Sustainable AI: Environmental Implications, Challenges and Opportunities (2021) — 662 citations
- ACT: designing sustainable computer systems with an architectural carbon modeling tool (2022) — 280 citations
- Cheetah: Optimizing and Accelerating Homomorphic Encryption for Private Inference (2020) — 187 citations
- RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing (2019) — 273 citations
- The Architectural Implications of Facebook's DNN-Based Personalized Recommendation (2019) — 330 citations