activity
20172023
most citedZoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range

12 citations · 30 across the 10 of their papers we have counts for

collaborators

11 papers

cs.LG2023★ 1 cited

Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors -- Algorithm and Application

Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park +1

How can we efficiently and accurately analyze an irregular tensor in a dual-way streaming setting where the sizes of two dimensions of the tensor increase over time? What types of…

cs.AI2022

Accurate Open-set Recognition for Memory Workload

Jun-Gi Jang, Sooyeon Shim, Vladimir Egay +4

How can we accurately identify new memory workloads while classifying known memory workloads? Verifying DRAM (Dynamic Random Access Memory) using various workloads is an important…

cs.IR2022★ 6 cited

Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared Parameters

Hyunsik Jeon, Jun-Gi Jang, Taehun Kim +1

How can we recommend existing bundles to users accurately? How can we generate new tailored bundles for users? Recommending a bundle, or a group of various items, has attracted wid…

cs.LG2022

DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors

Jun-Gi Jang, U Kang

Given an irregular dense tensor, how can we efficiently analyze it? An irregular tensor is a collection of matrices whose columns have the same size and rows have different sizes f…

cs.SI2020

Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization

Jun-Gi Jang, Chaeheum Park, Changwon Jang +2

What are the key structures existing in a large real-world MMORPG (Massively Multiplayer Online Role-Playing Game) graph? How can we compactly summarize an MMORPG graph with hierar…

cs.LG2020

Time-Aware Tensor Decomposition for Missing Entry Prediction

Dawon Ahn, Jun-Gi Jang, U Kang

Given a time-evolving tensor with missing entries, how can we effectively factorize it for precisely predicting the missing entries? Tensor factorization has been extensively utili…