DONGGUK UNIVERSITY
Publication
Browse iSN Lab publications by year and research topic. The international conference and journal list is ordered by recent publication date.
연도와 연구 주제별로 iSN Lab의 논문을 탐색하세요. 국제 학술대회 및 저널 목록은 최근 게재순으로 정렬되어 있습니다.
Browse Publications
Year
Research Topic
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Residual Sparsification via Output Importance for Compressing Mixture-of-Experts LLMs
The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), Main Track, Acceptance rate 15%, Budapest, Hungary, 2026. (Accepted)
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Accurate Simulation of Distributed Training Jobs with Network Contention Modeling
The 34th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2026), Acceptance rate 23%, NRF BK IF: 2, Genova, Italy, 2026. (Accepted)
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Xronos: Heterogeneity-Aware Tensor Parallelism for Collaborative LLM Fine-Tuning on Edge CPUs
The 34th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2026), Acceptance rate 23%, NRF BK IF: 2, Genova, Italy, 2026. (Accepted)
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Unified Digital Biomarker Platform for Wearable Devices Assuring Integrity, Heterogeneity, and Scalability
Scientific Reports, 2026. (Accepted)
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Prediction-based GPU Sharing for Distributed Training
Future Generation Computer Systems Journal, 2026.02
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Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead
The 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025), Acceptance rate 29%, NRF BK IF: 1, Daejeon, Korea, 2025.
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Revisiting Traffic Splitting for Software Switch in Datacenter
Association for Computing Machinery's Special Interest Group on Measurement and Evaluation (ACM SIGMETRICS), Acceptance rate 17%, NRF BK IF: 3, New York, USA, 2025.
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Prediction of Permissioned Blockchain Performance for Resource Scaling Configurations
ICT Express, 2024.12
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Intelligent Packet Processing for Performant Containers in IoT
IEEE Internet of Things Journal, 2024.12
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Predictive Placement of Geo-distributed Blockchain Nodes for Performance Guarantee
IEEE 17th International Conference on Cloud Computing (CLOUD 2024)
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Harmonia: Accurate Federated Learning with All-Inclusive Dataset
IEEE 17th International Conference on Cloud Computing (CLOUD 2024)
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Machine Learning-Based Prediction Models for Control Traffic in SDN Systems
IEEE Transactions on Service Computing (TSC 2023)
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SegaNet: An Advanced IoT Cloud Gateway for Performant and Priority-Oriented Message Delivery
7th Asia-Pacific Workshop on Networking (APNET 2023)
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Selective Preemption of Distributed Deep Learning Training
IEEE 16th International Conference on Cloud Computing (CLOUD 2023)
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Control Channel Isolation in SDN Virtualization: A Machine Learning Approach
IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023)
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TeaVisor: network hypervisor for bandwidth isolation in SDN-NV
IEEE Transactions on Cloud Computing (TCC 2023)
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Xonar: Profiling-based job orderer for distributed deep learning
IEEE 15th International Conference on Cloud Computing (CLOUD 2022)
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Prediction of the resource consumption of distributed deep learning systems
Proceedings of the ACM on Measurement and Analysis of Computing Systems (SIGMETRICS 2022)
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A case for SDN-based network virtualization
29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2021)
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Accurate and efficient monitoring for virtualized SDN in clouds
IEEE Transactions on Cloud Computing (TCC 2021)
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Bandwidth isolation guarantee for SDN virtual networks
IEEE Conference on Computer Communications (INFOCOM 2021)
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TensorExpress: In-network communication scheduling for distributed deep learning
IEEE 13th International Conference on Cloud Computing (CLOUD 2020)
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Adaptive control channel traffic shaping for virtualized SDN in clouds
IEEE 13th International Conference on Cloud Computing (CLOUD 2020)
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