Hanyang University · 情報科学
Professor Jong Woo Kim's research lab specializes in intelligent systems and automated decision-making, with a focus on personalized recommendation systems, motion planning for autonomous systems, and semantic web services composition. The lab integrates artificial intelligence, data mining, and rule-based reasoning to develop adaptive systems for e-commerce, robotics, and biomedical information systems. Recent work emphasizes real-time control validation, automated document processing, and dependency-aware service composition in dynamic environments.
Figures are computed from collected data and may differ slightly.
Web services composition is becoming increasingly important as organizations are now getting ready to provide more complex service-based applications. Contemporary literature on the web services composition primarily addresses various aspects of composition for example, automated composition, quality-driven composition, and semantic composition. These approaches, however, do not adequately address the various dependencies among the tasks performed by the web services. Such dependencies could pot
This study is significant in that it demonstrates the possibility of determining depression from only social media users' textual data.
Reinforcement learning (RL) can be used to obtain an approximate numerical solution to the Hamilton-Jacobi-Bellman (HJB) equation. Recent advances in machine learning community enable the use of deep neural networks (DNNs) to approximate high-dimensional nonlinear functions as those that occur in RL, accurately without any domain knowledge. In the standard RL setting, both system and cost structures are unknown, and the amount of data needed to obtain an accurate approximation can be impractical
Online gamers form clans voluntarily to play together and to discuss their real and virtual lives. Although these clans have diverse goals, they seek to increase their rank in the game community by winning more battles. Communications among clan members and battles with other clans may influence the performance of a clan. In this study, we compared the effects of communication structure inside a clan, and battle networks among clans, with the performance of the clans. We collected battle histori
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