107 citations · 263 across the 14 of their papers we have counts for
14 papers
Explicit Feature Interaction-aware Graph Neural Networks
Minkyu Kim, Hyun-Soo Choi, Jinho Kim
Graph neural networks (GNNs) are powerful tools for handling graph-structured data. However, their design often limits them to learning only higher-order feature interactions, leav…
KC-TSS: An Algorithm for Heterogeneous Robot Teams Performing Resilient Target Search
Minkyu Kim, Ryan Gupta, Luis Sentis
This paper proposes KC-TSS: K-Clustered-Traveling Salesman Based Search, a failure resilient path planning algorithm for heterogeneous robot teams performing target search in human…
Global-Local Item Embedding for Temporal Set Prediction
Seungjae Jung, Young-Jin Park, Jisu Jeong +4
Temporal set prediction is becoming increasingly important as many companies employ recommender systems in their online businesses, e.g., personalized purchase prediction of shoppi…
Information-Theoretic Based Target Search with Multiple Agents
Minkyu Kim, Ryan Gupta, Luis Sentis
This paper proposes an online path planning and motion generation algorithm for heterogeneous robot teams performing target search in a real-world environment. Path selection for e…
One4all User Representation for Recommender Systems in E-commerce
Kyuyong Shin, Hanock Kwak, Kyung-Min Kim +4
General-purpose representation learning through large-scale pre-training has shown promising results in the various machine learning fields. For an e-commerce domain, the objective…
Active Object Tracking using Context Estimation: Handling Occlusions and Detecting Missing Targets
Minkyu Kim, Luis Sentis
When performing visual servoing or object tracking tasks, active sensor planning is essential to keep targets in sight or to relocate them when missing. In particular, when dealing…