Minsuk Kahng
Google (United States)(US)
Publications by Year
Research Areas
Data Visualization and Analytics, Explainable Artificial Intelligence (XAI), Topic Modeling, Recommender Systems and Techniques, Natural Language Processing Techniques
Most-Cited Works
- → ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models(2017)340 cited
- → CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization(2020)316 cited
- → GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation(2018)208 cited
- → FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning(2019)181 cited
- → Random walk based entity ranking on graph for multidimensional recommendation(2011)90 cited
- → Visual exploration of machine learning results using data cube analysis(2016)79 cited
- → Scalable graph exploration and visualization: Sensemaking challenges and opportunities(2015)77 cited
- → PathRank: Ranking nodes on a heterogeneous graph for flexible hybrid recommender systems(2012)62 cited
- → MMap: Fast billion-scale graph computation on a PC via memory mapping(2014)52 cited
- → Understanding variations in pediatric asthma care processes in the emergency department using visual analytics(2015)50 cited