Kang G. Shin

Computer Networks and Communications · 2001–2022

A researcher in the Science corpus: 24 papers; trusts 70 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Computer Networks and Communications — 141 citations into it; #905 of 9,886 by trust here, #690 by citations
Artificial Intelligence — 119 citations into it; #15,559 of 35,345 by trust here, #19,873 by citations
Information Systems — 65 citations into it; #4,079 of 8,771 by trust here, #2,203 by citations
Signal Processing — 46 citations into it; #2,778 of 7,572 by trust here, #2,816 by citations
Hardware and Architecture — 40 citations into it; #539 of 1,551 by trust here, #429 by citations
Electrical and Electronic Engineering — 34 citations into it; #4,923 of 16,539 by trust here, #9,631 by citations
Computer Vision and Pattern Recognition — 19 citations into it
Optimization & Training — 14 citations into it

Whom Kang G. Shin trusts overall

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

Who trusts Kang G. Shin overall

Papers from Kang G. Shin's perspective

Ordered by how strongly the researchers Kang G. Shin 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
Long Short-Term Memory
Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Gradient-based learning applied to document recognition
Attention is All you Need (Neural Information Processing Systems)
ImageNet: A large-scale hierarchical image database
Learning Multiple Layers of Features from Tiny Images
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Going deeper with convolutions

Their papers

Federated User Representation Learning (2019) — 73 citations
Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks (2008) — 862 citations
Detecting energy-greedy anomalies and mobile malware variants (2008) — 319 citations
Do Opt-Outs Really Opt Me Out? (2022) — 19 citations
Stochastic fair blue: a queue management algorithm for enforcing fairness (2001) — 314 citations
Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning (2018) — 412 citations
Tiresias: A GPU Cluster Manager for Distributed Deep Learning (2019) — 457 citations
Efficient Memory Disaggregation with Infiniswap (2017) — 404 citations
Continuous Authentication for Voice Assistants (2017) — 298 citations
Fingerprinting Electronic Control Units for Vehicle Intrusion Detection (2016) — 532 citations
DUET: integration of dynamic and static analyses for malware clustering with cluster ensembles (2013) — 36 citations
Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers (2012) — 69 citations
Large-scale malware indexing using function-call graphs (2009) — 376 citations
Automated control of multiple virtualized resources (2009) — 578 citations
Behavioral detection of malware on mobile handsets (2008) — 333 citations
Adaptive control of virtualized resources in utility computing environments (2007) — 677 citations
Defense Against Spoofed IP Traffic Using Hop-Count Filtering (2007) — 461 citations
Change-point monitoring for the detection of DoS attacks (2004) — 297 citations
Hop-count filtering: an effective defense against spoofed DDoS traffic (2003) — 552 citations
Goodput Analysis and Link Adaptation for IEEE 802.11a Wireless LANs (2002) — 632 citations