고급지능시스템 연구실
Advanced Intelligent Systems Laboratory
연구실 소개 및 연구분야
The Advanced Intelligent Systems Laboratory (AISLab) focuses on the research and development of intelligent communication systems. Our primary goal is to develop wired and wireless communication algorithms, cultivate talent through the advancement of connected intelligent systems, and make meaningful contributions to the industry. Currently, our key areas of interest include communication systems and connected intelligent systems.
최근 관심분야 및 주요 연구과제
New Paradigm for Communications, Open RAN, Distributed Learning with High Energy and Data Efficiency
주요 논문/특허
Hyeonsu Lyu, Jonggyu Jang, Sehyun Ryu, and Hyun Jong Yang*, "Post-Hoc Model Editing with Selective Parameter Modification Using Generalized Influence Functions," submitted 2024.
Jonggyu Jang, Hyeonsu Lyu, and Hyun Jong Yang*, "Rethinking Model Inversion Attacks With Patch-Wise Reconstruction", submitted, 2024.
Jonggyu Jang, Hyeonsu Lyu, Seongjin Hwang, and Hyun Jong Yang*, "Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding," IEEE Transactions on Neural Networks, and Learning Systems (TNNLS), under revision, 2024.
Sojeong Park, Hyeonho Noh, and Hyun Jong Yang*, "Robust Transmission of Punctured Text with Large Language Model-based Recovery," IEEE Transactions on Vehicular Technology (TVT) under revision, 2024.
Hyeonho Noh, Byonghyo Shim, and Hyun Jong Yang*, "Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environments," IEEE Transactions on Vehicular Technology (TVT), under revision, 2024.
Jonggyu Jang, Hyeonsu Lyu, Jungyeon Koh, and Hyun Jong Yang*, "Replace-then-Perturb: Targeted Adversarial Examples for Visual Reasoning Against Vision-Language Models," submitted, 2024.
Hyun Jong Yang, Hyunsoo Kim, Hyeonho Noh, Seungnyun Kim, and Byonghyo Shim, "Large Language and Multimodal Models for Task-Oriented Autonomous Communications: Opportunities and Challenges," submitted, 2024.
Minwoo Kim, Youngchol Choi, Yeongjun Kim, Eojin Seo, and Hyun Jong Yang*, "Joint Spectrum Sensing and Resource Allocation for OFDMA-based Underwater Acoustic Communications," submitted, 2024.
Jonggyu Jang, Hyeonsu Lyu, David J. Love, and Hyun Jong Yang*, "Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation," submitted, 2024.
Joengjun Park, Hyeonho Noh, Sunwook Hwang, Hyun Jong Yang*, Saewoong Bahk*, "Driver Activity Recognition with Input-Size-Agnostic Vision Transformer and Domain Fusion for IR-UWB," submitted, 2024.
Jonggyu Jang, Hyeonsu Lyu, and Hyun Jong Yang*, "Rethinking Model Inversion Attacks With Patch-Wise Reconstruction", submitted, 2024.
Jonggyu Jang, Hyeonsu Lyu, Seongjin Hwang, and Hyun Jong Yang*, "Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding," IEEE Transactions on Neural Networks, and Learning Systems (TNNLS), under revision, 2024.
Sojeong Park, Hyeonho Noh, and Hyun Jong Yang*, "Robust Transmission of Punctured Text with Large Language Model-based Recovery," IEEE Transactions on Vehicular Technology (TVT) under revision, 2024.
Hyeonho Noh, Byonghyo Shim, and Hyun Jong Yang*, "Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environments," IEEE Transactions on Vehicular Technology (TVT), under revision, 2024.
Jonggyu Jang, Hyeonsu Lyu, Jungyeon Koh, and Hyun Jong Yang*, "Replace-then-Perturb: Targeted Adversarial Examples for Visual Reasoning Against Vision-Language Models," submitted, 2024.
Hyun Jong Yang, Hyunsoo Kim, Hyeonho Noh, Seungnyun Kim, and Byonghyo Shim, "Large Language and Multimodal Models for Task-Oriented Autonomous Communications: Opportunities and Challenges," submitted, 2024.
Minwoo Kim, Youngchol Choi, Yeongjun Kim, Eojin Seo, and Hyun Jong Yang*, "Joint Spectrum Sensing and Resource Allocation for OFDMA-based Underwater Acoustic Communications," submitted, 2024.
Jonggyu Jang, Hyeonsu Lyu, David J. Love, and Hyun Jong Yang*, "Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation," submitted, 2024.
Joengjun Park, Hyeonho Noh, Sunwook Hwang, Hyun Jong Yang*, Saewoong Bahk*, "Driver Activity Recognition with Input-Size-Agnostic Vision Transformer and Domain Fusion for IR-UWB," submitted, 2024.
