Minseo Jeon Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
Research Areas
Biography and Research Information
OverviewAI-generated summary
Minseo Jeon's research investigates advancements in autonomous navigation and virtual reality interactions. Recent publications explore the development of multi-radar datasets for maritime odometry and autonomous navigation applications, alongside techniques for enhancing self-haptic interactions through skin softness perception and virtual body embodiment. Jeon's work also addresses the generation of driving scenarios for autonomous vehicles using latent diffusion models and the creation of lightweight, compact 3D representations utilizing Gaussian models. Further research includes developing efficient methods for learning representations on signed bipartite graphs and exploring bare-hand 3D portal creation and manipulation techniques for remote object interactions in virtual reality. Jeon has collaborated with researchers from Hendrix College, including Dongje Lee, Hanguen Kim, Jin-Bum Park, and Yong-Jin Kim, on shared publications.
Metrics
- h-index: 2
- Publications: 12
- Citations: 7
Selected Publications
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MOANA: Multi-radar dataset for maritime odometry and autonomous navigation application (2025)
Collaboration Network
Top Collaborators
- Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs
- Effective and Lightweight Representation Learning For Signed Bipartite Graphs
- Personalized Ranking on Cascading Behavior Graphs for Accurate Multi-Behavior Recommendation
- Effective and lightweight representation learning for signed bipartite graphs
- Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs
- Effective and Lightweight Representation Learning For Signed Bipartite Graphs
- Effective and lightweight representation learning for signed bipartite graphs
- Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs
- Effective and Lightweight Representation Learning For Signed Bipartite Graphs
- Effective and lightweight representation learning for signed bipartite graphs
- SkinHaptics: Exploring Skin Softness Perception and Virtual Body Embodiment Techniques to Enhance Self-Haptic Interactions
- Demonstrating SkinHaptics: Exploring Skin Softness Perception and Virtual Body Embodiment Techniques to Enhance Self-Haptic Interactions
- Portallite: A Bare-Hand 3-D Portal Creation and Manipulation Technique for Remote Object Interactions in Virtual Reality
- A Study on Trends in Artificial Intelligence Utilization in Digital Healthcare for Pet Oral Care
- A Comparative Study on Machine Learning Models for Predicting the Behavior of Pet
- A Study on Trends in Artificial Intelligence Utilization in Digital Healthcare for Pet Oral Care
- A Comparative Study on Machine Learning Models for Predicting the Behavior of Pet
- A Study on Trends in Artificial Intelligence Utilization in Digital Healthcare for Pet Oral Care
- A Comparative Study on Machine Learning Models for Predicting the Behavior of Pet
- SkinHaptics: Exploring Skin Softness Perception and Virtual Body Embodiment Techniques to Enhance Self-Haptic Interactions
- Demonstrating SkinHaptics: Exploring Skin Softness Perception and Virtual Body Embodiment Techniques to Enhance Self-Haptic Interactions
- SkinHaptics: Exploring Skin Softness Perception and Virtual Body Embodiment Techniques to Enhance Self-Haptic Interactions
- Demonstrating SkinHaptics: Exploring Skin Softness Perception and Virtual Body Embodiment Techniques to Enhance Self-Haptic Interactions
- SkinHaptics: Exploring Skin Softness Perception and Virtual Body Embodiment Techniques to Enhance Self-Haptic Interactions
- Demonstrating SkinHaptics: Exploring Skin Softness Perception and Virtual Body Embodiment Techniques to Enhance Self-Haptic Interactions
- A Study on Trends in Artificial Intelligence Utilization in Digital Healthcare for Pet Oral Care
- Driving Scenario Generation Based on Latent Diffusion Model for Autonomous Driving Vehicles
- Driving Scenario Generation Based on Latent Diffusion Model for Autonomous Driving Vehicles
- Personalized Ranking on Cascading Behavior Graphs for Accurate Multi-Behavior Recommendation
- Portallite: A Bare-Hand 3-D Portal Creation and Manipulation Technique for Remote Object Interactions in Virtual Reality
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