10 citations · 12 across the 11 of their papers we have counts for
11 papers
Pay What LLM Wants: Can LLM Simulate Economics Experiment with 522 Real-human Persona?
Junhyuk Choi, Hyeonchu Park, Haemin Lee +3
Recent advances in Large Language Models (LLMs) have generated significant interest in their capacity to simulate human-like behaviors, yet most studies rely on fictional personas…
Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes
Soohyun Park, Haemin Lee, Chanyoung Park +3
This paper presents the deep learning-based recent achievements to resolve the problem of autonomous mobility control and efficient resource management of autonomous vehicles and U…
Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications
Chanyoung Park, Haemin Lee, Won Joon Yun +2
This paper proposes a novel centralized training and distributed execution (CTDE)-based multi-agent deep reinforcement learning (MADRL) method for multiple unmanned aerial vehicles…
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control
Chanyoung Park, Soohyun Park, Soyi Jung +2
This paper addresses a novel multi-agent deep reinforcement learning (MADRL)-based positioning algorithm for multiple unmanned aerial vehicles (UAVs) collaboration (i.e., UAVs work…
Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks
Haemin Lee, Seok Bin Son, Won Joon Yun +3
One of the key topics in network security research is the autonomous COA (Couse-of-Action) attack search method. Traditional COA attack search methods that passively search for att…
Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks
Seok Bin Son, Soohyun Park, Haemin Lee +3
In the literature of modern network security research, deriving effective and efficient course-of-action (COA) attach search methods are of interests in industry and academia. As t…
Neural Myerson Auction for Truthful and Energy-Efficient Autonomous Aerial Data Delivery
Haemin Lee, Sean Kwon, Soyi Jung +1
A successful deployment of drones provides an ideal solution for surveillance systems. Using drones for surveillance can provide access to areas that may be difficult or impossible…
The Credibility Cryptocurrency Valuation: Statistical Learning Analysis for Influencer Tweets
Haemin Lee, Hyunhee Cho, Soyi Jung +1
Cryptocurrency has attracted significant attention. Considering the number of individuals investing in bitcoin, their motivations are comparatively less clear than traditional inve…
Stable Marriage Matching for Traffic-Aware Space-Air-Ground Integrated Networks: A Gale-Shapley Algorithmic Approach
Hyunsoo Lee, Haemin Lee, Soyi Jung +1
In keeping with the rapid development of communication technology, a new communication structure is required in a next-generation communication system. In particular, research usin…
Distributed and Autonomous Aerial Data Collection in Smart City Surveillance Applications
Haemin Lee, Soyi Jung, Joongheon Kim
The massive growth of Smart City and Internet of Things applications enables safety and security. The data those are produced from surveillance cameras in aerial devices such as un…
Trends in Blockchain and Federated Learning for Data Sharing in Distributed Platforms
Haemin Lee, Joongheon Kim
With the development of communication technologies in 5G networks and the Internet of things (IoT), a massive amount of generated data can improve machine learning (ML) inference t…