Yakun Sophia Shao

Electrical and Electronic Engineering · 2013–2024

A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 45 citations into it
• Hardware and Architecture — 35 citations into it

Whom Yakun Sophia Shao trusts overall

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

1. Canturk Isci
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yu-hsin Chen
6. Sheng Li
7. Ilya Sutskever
8. Ross B. Girshick
9. Karen Simonyan
10. Christian Szegedy

Who trusts Yakun Sophia Shao overall

1. Miyuru Dayarathna
2. Akhil Arunkumar
3. Eva García-Martín
4. Yonggang Wen
5. Evgeny Bolotin
6. Crefeda Faviola Rodrigues
7. Carole-Jean Wu
8. David W. Nellans
9. Graham D. Riley

Papers from Yakun Sophia Shao's perspective

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

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

Their papers

• Timeloop: A Systematic Approach to DNN Accelerator Evaluation (2019) — 671 citations
• Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture (2019) — 495 citations
• Chipyard: Integrated Design, Simulation, and Implementation Framework for Custom SoCs (2020) — 354 citations
• KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization (2024) — 589 citations
• Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration (2019) — 367 citations
• MachSuite: Benchmarks for accelerator design and customized architectures (2014) — 342 citations
• Energy characterization and instruction-level energy model of Intel's Xeon Phi processor (2013) — 133 citations