Byung-Gon Chun
Computer Networks and Communications · 2006–2020
A researcher in the Science corpus: 9 papers; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 63 citations into it; #7,079 of 9,886 by trust here, #266 by citations
- Artificial Intelligence — 44 citations into it; #34,854 of 35,345 by trust here, #7,062 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Model Architectures — 8 citations into it
- Efficiency & Compression — 5 citations into it
Whom Byung-Gon Chun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Petros Maniatis
- Rajesh Krishna Balan
- Miguel Oom Temudo de Castro
- Larry L. Peterson
- Frank Dabek
- Kyoungsoo Park
- Jason Flinn
- Cristian Cadar
- Alex Krizhevsky
- Mahadev Satyanarayanan
Who trusts Byung-Gon Chun overall
- Xu Chen
- Chen-meng Wang
- Muhammad Shiraz
- Sergio Barbarossa
- Tien Tuan Anh Dinh
- Karthik Kumar
- Cheol-Ho Hong
- Changsheng You
- Liang Tong
- Hongzhi Guo
Papers from Byung-Gon Chun's perspective
Ordered by how strongly the researchers Byung-Gon Chun 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
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
Their papers
- Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning (2020) — 92 citations
- TaintDroid (2010) — 2,871 citations
- CloneCloud: elastic execution between mobile device and cloud (2011) — 2,071 citations
- Making Sense of Performance in Data Analytics Frameworks (2015) — 438 citations
- RouteBricks: exploiting parallelism to scale software routers (2009) — 563 citations
- Augmented Smartphone Applications Through Clone Cloud Execution (2009) — 521 citations
- A data-oriented (and beyond) network architecture (2007) — 1,711 citations
- Attested append-only memory: making adversaries stick to their word (2007) — 351 citations
- Efficient Replica Maintenance for Distributed Storage Systems (2006) — 315 citations