Harim Lee

Myeung Un Kim

Youjin Kim

Yeongjun Kim

Jonggyu Jang

Hyeonho Noh

Hyeonmyung Oh

Woojin Park

Yein Heo

The Advanced Intelligent Systems Laboratory (AISLab) is dedicated to the research and development of intelligent communication systems. It focuses on developing wired and wireless communication algorithms, fostering talent through advancements in connected intelligent systems, and contributing to the industry. Key areas of interest include communication systems and connected intelligent systems.

첨단 지능 시스템 연구실(AISLab)은 지능형 통신 시스템 연구 개발에 집중한다. 유무선 통신 알고리즘 개발, 연결 지능 시스템 발전을 통한 인재 양성, 산업 발전에 기여하는 것을 목표로 한다. 주요 연구 분야는 통신 시스템 및 연결 지능 시스템이다.

User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing

Importance-Aware CSI Feedback with Adaptive Latent Truncation

Fed-ZOE: Communication-Efficient Over-the-Air Federated Learning via Zeroth-Order Estimation

End-to-End Secure Connection Probability in Multi- Layer Networks with Heterogeneous Rician Fading

Group-wise Semantic Splitting Multiple Access for MultiUser Semantic Communication

Compressed-CSI Feedback with Near Real-time Domain Adaptation

Blockage-Aware Multi-RIS WSR Maximization via Per-RIS Indexed Synchronization Sequences and Closed-Form Riemannian Updates

Multiple Active STAR-RIS-Assisted Secure Integrated Sensing and Communication via Cooperative Beamforming

DCFNet: Doppler Correction Filter Network for Integrated Sensing and Communication in Multi-User MIMO-OFDM Systems

Joint Optimization of User Association and Resource Allocation for Load Balancing With Multi-Level Fairness

Secure Multi-Hop Relaying in Large-Scale Space-Air-Ground-Sea Integrated Networks

Advancing Multi-Robot Networks via MLLM-Driven Sensing, Communication, and Computation: A Comprehensive Survey

Post-Hoc Model Editing with Selective Parameter Modification Using Generalized Influence Functions

Rethinking Model Inversion Attacks With Patch-Wise Reconstruction

Replace-then-Perturb: Targeted Adversarial Examples for Visual Reasoning Against Vision-Language Models

Driver Activity Recognition with Input-Size-Agnostic Vision Transformer and Domain Fusion for IR-UWB

Design Principles and Theoretical Insights in MIMO and Relay Networks

Standards-Compliant DM-RS Allocation via Temporal Channel Prediction for Massive MIMO Systems

Large Language and Multimodal Models for Task-Oriented Autonomous Communications: Opportunities and Challenges

Performance-Guaranteed CSI Feedback via Model-Free Incremental Residual Compression Framework

Robust Transmission of Punctured Text with Large Language Model-based Recovery

Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environments

Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding

Joint Spectrum Sensing and Resource Allocation for OFDMA-based Underwater Acoustic Communications

Non-iterative Optimization of Trajectory and Radio Resource for Aerial Network

Enhancing Sum-Rate Performance in Constrained Multicell Networks: A Low-Information Exchange Approach

Distributed Task Offloading and Resource Allocation for Latency Minimization in Mobile Edge Computing Networks

Noise Variance Optimization in Differential Privacy: A Game-Theoretic Approach Through Per-Instance Differential Privacy

Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD

Joint Optimization on Uplink OFDMA and MU-MIMO for IEEE 802.11ax: Deep Hierarchical Reinforcement Learning Approach

Distributed Resource Allocation and User Association for Max-Min Fairness in HetNets

M2SODAI: Multi-Modal Maritime Object Detection Dataset With RGB and Hyperspectral Image Sensors

Spectrum Sensing for Underwater Cognitive Radio with Limited Sensing Time

ICI-Robust Transceiver Design for Integration of MIMO-OFDM Radar and MU-MIMO Communication

A sufficient condition for optimal control problem of fully coupled forward-backward stochastic systems with jumps: A state-constrained control approach

Recurrent Neural Network-Based User Association and Power Control in Dynamic HetNets

α-Fairness Maximizing User Association in Energy-Constrained Small Cell Networks

Deep Learning-Aided User Association and Power Control with Renewable Energy Sources

Downlink MU-MIMO LTE-LAA for Coexistence with Asymmetric Hidden Wi-Fi APs

GFDM-based asynchronous grant-free multiple-access

Development of a Privacy-Preserving UAV System with Deep Learning-Based Face Anonymization

Deep Learning-Based Autonomous Scanning Electron Microscope

Deep Reinforcement Learning-based Resource Allocation and Power Control in Small Cells with Limited Information Exchange

Linear-Quadratic Time-Inconsistent Mean-Field Type Stackelberg Differential Games: Time-Consistent Open-Loop Solutions

Sum-rate maximization of multicell MISO channels with limited information exchange

Downlink Interference Control of LAA-LTE for Coexistence with Asymmetric Hidden Wi-Fi APs

Privacy-Preserving Robot Vision with Anonymized Faces by Extreme Low Resolution

Resource Allocation and Power Control in Cooperative Small Cell Networks with Backhaul Constraint

Lightweight Wi-Fi Frame Detection for Licensed Assisted Access LTE

Multicell downlink beamforming with limited backhaul signaling

On-demand route discovery in a unicast manner

Development of an LAA-LTE Transmitter with Lightweight Wi-Fi Frame Detection

Performance Analysis of License Assisted Access LTE with Asymmetric Hidden Terminals

Extreme low resolution activity recognition with multi-Siamese embedding learning

Opportunistic network decoupling with virtual full-duplex operation in multi-source interfering relay networks

Min-SINR maximization with DL SWIPT and UL WPCN in multi-antenna interference networks

Opportunistic downlink interference alignment for multi-cell MIMO networks

Privacy-preserving human activity recognition from extreme low resolution

Adaptive overhearing in two-way multi-antenna relay channels

On the degrees-of-freedom of the large-scale interfering two-way relay network

Multi-user overhearing for cooperative two-way multi-antenna relays

Sum-rates of asynchronous GFDMA and SC-FDMA for 5G uplink

Approximate Closed-Form Energy Efﬁcient PA for MIMO Relaying Systems in the High SNR Regime

Codebook-based opportunistic interference alignment

Distributed sum-rate optimization for full-duplex MIMO system under limited dynamic range

Opportunistic interference alignment for MIMO interfering multiple-access channels

A Closed-Form Power Allocation and Signal Alignment for a Diagonalized MIMO Two-Way Relay Channel With Linear Receivers

Preamble and Pilot Design with Computationally Efficient Synchronization and Cell Search Algorithms in Cellular OFDM Systems

Achievable sum-rate of the MU MIMO two-way relay channel in cellular systems: lattice code-aided linear precoding

Codebook-based lattice-reduction-aided precoding for limited-feedback coded MIMO systems

Low-angle tracking of two objects in a three-dimensional beamspace domain

Asymptotic capacity of the separated MIMO two-way relay channel

Blind gain and phase calibration of linear arrays using independent component analysis

Modified high-order PAMs for binary coded physical-layer network coding

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model

Accuracy-Delay Trade-Off in LLM Offloading via Token-Level Uncertainty

Deep Reinforcement Learning-based Resource Allocation and Mode Selection for Semantic Communication

Leveraging Multiple PRF Radar for Target Detection and Sea Clutter Suppression with Deep Learning Network

Faithful and Fast Influence Function via Advanced Sampling

Instance-wise Laplace Mechanism via Deep Reinforcement Learning

Maneuver by Airstreams for Stratospheric Balloon Base Stations

Multi-Agent Reinforcement Learning-Based Coverage Maximization for Fixed-Wing Base Stations

Connecting Quality Metrics to Deep Learning Accuracy for Image Fusion Methods

Network-Based Goal Selection for Multi-Goal Reinforcement Learning Based on Maximum Entropy Framework

MEGN: A maximum entropy goal selection method for multi-goal reinforcement learning

Supervised-Learning-Based Resource Allocation in Wireless Networks

Performance Comparison of SU- and MU-MIMO in 802.11ax: Delay and Throughput

DNN-based Sum-Rate Maximization of Multicell MISO Networks

Multiuser Overhearing for Cooperative Two-Way Multiantenna Relays

Achievable sum-rate maximizing AF relay beamforming scheme in two-way relay channels

Extreme low resolution activity recognition with multi-siamese embedding learning

Blind calibration for a linear array with gain and phase error using independent component analysis

Opportunistic Downlink Interference Alignment for Multi-Cell MIMO Networks

Adaptive Overhearing in Two-Way Multi-Antenna Relay Channels

Deep Reinforcement Learning-Based Resource Allocation and Power Control in Small Cells With Limited Information Exchange

Zero-forcing based two-phase relaying

Performance analysis of license assisted access LTE with asymmetric hidden terminals

Advanced Intelligent Systems Laboratory

교수님 소개

양현종

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing

Importance-Aware CSI Feedback with Adaptive Latent Truncation

Standards-Compliant DM-RS Allocation via Temporal Channel Prediction for Massive MIMO Systems

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

양현종

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing

Importance-Aware CSI Feedback with Adaptive Latent Truncation

Standards-Compliant DM-RS Allocation via Temporal Channel Prediction for Massive MIMO Systems

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집