Myeongjae Jeon
Artificial Intelligence · 2016–2021
A researcher in the Science corpus: 5 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it
- Computer Vision and Pattern Recognition — 43 citations into it
- Computer Networks and Communications — 42 citations into it
- Optimization & Training — 22 citations into it
- Hardware and Architecture — 17 citations into it
- Model Architectures — 17 citations into it
- Large Language Models — 9 citations into it
Whom Myeongjae Jeon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- X. Zhang
- Mu Li
- Ilya Sutskever
- Yangqing Jia
- Matthew L. Massie
- Ross B. Girshick
- Alekh Agarwal
Who trusts Myeongjae Jeon overall
- Wencong Xiao
- D. Narayanan
- Zhihao Bai
- Amar Phanishayee
- Shivaram Venkataraman
- Kshiteej S. Mahajan
- Keshav Santhanam
- Guanhua Wang
Papers from Myeongjae Jeon's perspective
Ordered by how strongly the researchers Myeongjae Jeon trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads (2019) — 471 citations
- SSD Failures in Datacenters: What? When? and Why? (2016) — 150 citations
- Zico: Efficient GPU Memory Sharing for Concurrent DNN Training (2021) — 63 citations
- Tiresias: A GPU Cluster Manager for Distributed Deep Learning (2019) — 457 citations
- Multi-tenant GPU Clusters for Deep Learning Workloads: Analysis and Implications (2018) — 71 citations