Park, Junyong

1. Mean vector testing for high dimensional dependent observations
   2014/11/12 by Deepak Nag Ayyala, Junyong Park, Ayyala, Deepak Nag +3 · 1 citation
   Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Methods and Mixture Models #Statistical Methods in Clinical Trials
2. A test for k sample Behrens-Fisher problem in high dimensional data
   2017/10/22 by Mingxiang Cao, Junyong Park, Cao, Mingxiang +3 · 1 citation
   Mathematics · Computer Science · #Stochastic processes and statistical mechanics #Random Matrices and Applications #Bayesian Methods and Mixture Models
3. Testing homogeneity of proportions from sparse binomial data with a\n large number of groups
   2017/12/08 by Junyong Park, Park, Junyong · 1 citation
   Mathematics · #FOS: Mathematics #Statistical Methods and Bayesian Inference #Statistical Methods in Clinical Trials #Statistics Theory (math.ST)
4. Note on Mean Vector Testing for High-Dimensional Dependent Observations
   2019/04/19 by Cho, Seonghun, Lim, Johan, Ayyala, Deepak Nag +2 · 1 citation
   #FOS: Mathematics #Statistics Theory (math.ST)
5. VR-Pipe: Streamlining Hardware Graphics Pipeline for Volume Rendering
   2025/02/24 by Junseo Lee, Lee, Junseo, Junyong Park +4 · 4 citations
   Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Hardware Architecture (cs.AR)
6. MX+: Pushing the Limits of Microscaling Formats for Efficient Large Language Model Serving
   2025/10/16 by Lee, Jungi, Park, Junyong, Cha, Soohyun +2 · 2 citations
   #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG)