Jiyong Jang
Artificial Intelligence · 2011–2018
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
- Signal Processing — 14 citations into it; #4,553 of 7,572 by trust here, #2,276 by citations
- Information Systems — 10 citations into it; #4,773 of 8,771 by trust here, #5,303 by citations
- Computer Networks and Communications — 8 citations into it; #5,708 of 9,886 by trust here, #5,733 by citations
Whom Jiyong Jang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- George Karypis
- J. Kolter
- Saul Schleimer
- Tony Abou-Assaleh
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- M. Maloof
- Daniel Shawcross Wilkerson
- Nick Cercone
Who trusts Jiyong Jang overall
- Xin Hu
- Joshua Saxe
- Marcos Sebastián
- Steve Hanna
- Battista Biggio
- Konrad Rieck
- Kang G. Shin
- Konstantin Berlin
- Roberto Perdisci
- Richard Rivera
Papers from Jiyong Jang's perspective
Ordered by how strongly the researchers Jiyong Jang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Protecting Intellectual Property of Deep Neural Networks with Watermarking (2018) — 682 citations
- BitShred: feature hashing malware for scalable triage and semantic analysis (2011) — 304 citations