Il‐Min Kim

Queen's University — Canada

Computer Science · Physical Sciences

40h-index4.8kcitations225works1.02yr avg
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Research Topics

Cooperative Communication and Network Coding(84), Advanced MIMO Systems Optimization(67), Full-Duplex Wireless Communications(47), Advanced Wireless Communication Technologies(46), Wireless Communication Security Techniques(42)

Publications225 total

RTF-Skip-GANomaly: A Novel Deep Learning Framework for Anomaly Detection in Run-to-Failure Data Using Skip-GANomaly Backbone
IEEE Signal Processing Letters·2026
Multi‐Objective Optimisation Framework for Heterogeneous Federated Learning
CAAI Transactions on Intelligence Technology·2025· 1 citedOpen Access
H2-Cache: A Novel Hierarchical Dual-Stage Cache for High-Performance Acceleration of Generative Diffusion Models
IEEE Open Journal of the Computer Society·2025Open Access
Causal Temporal Transformer: An Integrated Framework for Temporal Causal Discovery and Multi-target Prediction
Lecture notes in computer science·2025
Memory- and Latency-Constrained Inference of Large Language Models via Adaptive Split Computing
arXiv (Cornell University)·2025Open Access
Why Should the Server Do It All?: A Scalable, Versatile, and Model-Agnostic Framework for Server-Light DNN Inference over Massively Distributed Clients via Training-Free Intermediate Feature Compression
arXiv (Cornell University)·2025Open Access
H2-Cache: A Novel Hierarchical Dual-Stage Cache for High-Performance Acceleration of Generative Diffusion Models
arXiv (Cornell University)·2025Open Access
CaMPASS-Net: A Deep Learning Framework on Capacity Maximization for MIMO Pinching Antenna Systems in IoT
IEEE Internet of Things Journal·2025· 1 citedOpen Access
Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data
2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
arXiv (Cornell University)·2025Open Access
DeCo-MeSC: Deep Compression-Based Memory-Constrained Split Computing Framework for Cooperative Inference of Neural Network
IEEE Transactions on Vehicular Technology·2025· 2 cited
Generative-Diffusion-Model-Based Deep-Learning Framework for Remaining Useful Life Prediction
IEEE Internet of Things Journal·2025· 3 cited
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
arXiv (Cornell University)·2025Open Access
A Novel VLM-Guided Diffusion Model for Remote Sensing Image Super-Resolution
IEEE Geoscience and Remote Sensing Letters·2025Open Access
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings
arXiv (Cornell University)·2024Open Access
SoccerNet 2024 Challenges Results
arXiv (Cornell University)·2024· 1 citedOpen Access
OCR-Diff: A Two-Stage Deep Learning Framework for Optical Character Recognition Using Diffusion Model in Industrial Internet of Things
IEEE Internet of Things Journal·2024· 10 cited
Robust Spectrum Sensing and Signal Classification: Enhanced Out-of-Distribution Detection Incorporating a Voting Mechanism
IEEE Access·2024Open Access
Enhanced Non-Maximum Suppression for the Detection of Steel Surface Defects
Mathematics·2023· 9 citedOpen Access
RandMixAugment: A Novel Unified Technique for Region- and Image-Level Data Augmentations
IEEE Access·2023· 5 citedOpen Access
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Frequent Co-authors

Dong In Kim(11), Jae‐Mo Kang(11), Chang-Jae Chun(7), MinChul Ju(7), Zhihang Yi(6), Vahid Tarokh(3), Sangseok Yun(3), Saeed Gazor(3), Jeongseok Ha(3), Cheol Jeong(2), Peng Liu(2), Jun Yang(2), François Chan(2), Peng Liu(2), Hyung-Myung Kim(2), Youngrok Jang(1), Gyuyeol Kong(1), Minchae Jung(1), Sooyong Choi(1), Milad Khademi Nori(1)