Publications - System Software Lab, Korea University

International conferences, journals, domestic papers, patents, and awards by System Software Lab, Korea University.

• [Awards] IEEE/ACM DAC 2026 Best Paper Candidate - Younghun Go, Changyong Shin, Minchul Kang, Jaehyun Hwang, Chuck Yoo, Gyeongsik Yang, Nominated as a Best Paper Candidate at the 63rd ACM/IEEE Design Automation Conference (DAC '26) for "Making Sense of Job Preemption for Distributed Deep Learning Acceleration". (2026)
• [Awards] Koscom CEO Excellence Award - Minuk Park, Awarded the CEO Excellence Award at the KOSCOM AI Agent Challenge. (2025)
• [Awards] KU AI Tech Day Best Poster Award - System Software Laboratory, Awarded the Best Poster Award at the 2024 KU AI Tech Day. (2024)
• [Awards] Top 100 national R&D excellence in 2021; Top prize in IT field, Korea Government (Ministry of Science and ICT) 2021 - Chuck Yoo, Gyeongsik Yang, Yeonho Yoo, Changyong Shin, Bong-yeol Yu, Heesang Jin, Minkoo Kang, Awarded for the research achievements: “Securing world-class source technology for network virtualization, the core of cloud systems.” Participated as a co-researcher (실무책임). (2021)
• [Awards] Best Paper Award, IEEE Computer Society 2019 - Gyeongsik Yang, Heesang Jin, Bong-yeol Yu, Chuck Yoo, Awarded by the The 33rd Conference on Information Networking (ICOIN 2019) for the paper entitled: "TALON: Tenant Throughput Allocation Through Traffic Load-balancing in Virtualized Software-defined Networks" (2019)
• [Awards] The Award of Excellence, Microsoft Research Asia 2018 - Gyeongsik Yang, Awarded for the internship achievements at Microsoft Research Asia (Stars of Tomorrow) (2018)
• [Awards] Most Feasibility Award in MSRA Student TechFest 2018, Microsoft Research Asia 2018 - Gyeongsik Yang, Participated based on the remote storage project when the professor was a research intern at MSRA (2018)
• [Awards] Samsung HumanTech Paper Award, Samsung Electronics 2017 - Gyeongsik Yang, Awarded for the paper in "Communication & Networks" section (belongs to the top 122 among 1830 papers) (2017)
• [Awards] Top Paper Award, ACM 2016 - Bong-yeol Yu, Gyeongsik Yang, Kyungwoon Lee, Chuck Yoo, Awarded by the Cloud-Assisted Networking (CAN) workshop of CoNEXT '16 for the paper entitled: "AggFlow: Scalable and Efficient Network Address Virtualization in Software Defined Networking" (2016)
• [Awards] 한국정보과학회 학술대회 최우수논문상 (KIISE Best Paper Award) - 최종인, 조휘주, 남윤수, 유혁, 양경식, (2026)
• [Awards] 한국통신학회 논문지 우수논문상 (KICS Best Paper Award) - 고의진, 최원미, 양경식, 유혁, (2024)
• [Awards] 한국정보과학회 학술대회 우수논문상 (KIISE Outstanding Paper Award) - 강민철, 고영훈, 신창용, 강민구, 양경식, 유혁, (2024)
• [Awards] 한국정보과학회 학술대회 우수발표논문상 (KIISE Best Presentation Award) - 박선재, 최원미, 안주영, 김수완, Anumeha, 양경식, 유혁, (2025)
• [Awards] 한국정보과학회 학술대회 학부생 논문 경진대회 우수상 (KIISE Undergraduate Paper Competition - Excellence Award) - 김건민, 박선재, 최원미, 안주영, 유혁, 양경식, (2025)
• [Awards] 한국정보과학회 학술대회 학부생 논문 경진대회 장려상 (KIISE Undergraduate Paper Competition - Encouragement Award) - 최현목, 이현호, 노태윤, 정승우, 조영준, 고영훈, 신창용, 김호석, 김효경, 유연호, 양경식, 유혁, (2024)
• [Domestic papers] 인종에 따른 심전도 파운데이션 모델 성능 분석 - 박주영, 이준석, 정승우, 유혁, 양경식, 2026 한국컴퓨터종합학술대회 (KCC 2026) (2026)
• [Domestic papers] 6G 오프로드 응용을 위한 추론 예측 기법 분석 - 최종인, 조휘주, 남윤수, 유혁, 양경식, 2026 한국컴퓨터종합학술대회 (KCC 2026) (2026)
• [Domestic papers] 에이전트 시스템에서의 LLM 추론 속도에 따른 CPU 바운드 도구 실행 특성 분석 - 박민욱, 최원미, 유혁, 양경식, 2026 한국컴퓨터종합학술대회 (KCC 2026) (2026)
• [Domestic papers] 파이프라인 병렬화 기반 엣지 LLM 미세조정에서 GPU 거버너의 영향 분석 - 권도혁, 최원미, 유혁, 양경식, 2026 한국컴퓨터종합학술대회 (KCC 2026) (2026)
• [Domestic papers] Performance and Resource Consumption Analysis of Hyperledger Fabric Based on Secure Containers - YunKyung Kang, Wonmi Choi, Gyeongsik Yang, Chuck Yoo, The Journal of Korean Institute of Communications and Information Sciences (2025) (2025)
• [Domestic papers] 인공지능을 활용한 시스템 소프트웨어 연구 동향 - 양경식, 한국정보과학회지 43권 4호 (2025) (2025)
• [Domestic papers] Unveiling Kubernetes CNI: An In-Depth Analysis of Networking Performance and Resource Efficiency - Wonmi Choi, Juyoung Ahn, Yeonho Yoo, Zhixiong Niu, Gyeongsik Yang, Chuck Yoo, The Journal of Korean Institute of Communications and Information Sciences (2025) (2025)
• [Domestic papers] NVIDIA DALI 실행 모드에 따른 JPEG 이미지 전처리 성능 비교 분석 - 최종인, 조휘주, 남윤수, 정진우, 유혁, 양경식, 2025 한국소프트웨어종합학술대회 (KSC 2025) (2025)
• [Domestic papers] 서버리스 워크로드의 QoS 보장을 위한 저지연 컨테이너 기법 비교분석 - 남윤수, 조휘주, 최종인, 유혁, 양경식, 2025 한국소프트웨어종합학술대회 (KSC 2025) (2025)
• [Domestic papers] 서명 기반 비인가 BPF 프로그램 로드 차단 기법 - 이민하, 강민철, 유혁, 양경식, 2025 한국소프트웨어종합학술대회 (KSC 2025) (2025)
• [Domestic papers] 엣지 장치에서의 LLM 학습 시 에너지 효율성 최적화 전략 비교분석 - 김건민, 박선재, 최원미, 안주영, 유혁, 양경식, 2025 한국소프트웨어종합학술대회 (KSC 2025) (2025)
• [Domestic papers] 리눅스 커널 파라미터 튜닝을 통한 네트워크 성능 변화 분석 - 정규병, 양경식, 한국정보처리학회 (ACK 2025) (2025)
• [Domestic papers] 스토어 오염 완화를 위한 분산 스토어 및 중재자 기반 멀티에이전트 시스템 - 어호선, 양경식, 한국정보처리학회 (ACK 2025) (2025)
• [Domestic papers] 경량화된 머신러닝 모델의 추론 일관성 분석: Explainable AI 기반 정량 비교 - 강준혁, 권도혁, 고영훈, 유혁, 양경식, 2025 한국컴퓨터종합학술대회 (KCC 2025) (2025)
• [Domestic papers] 이기종 GPU 환경에서 Unified Virtual Memory 기반 LLM 주요 커널 실행 성능 분석 - 정진우, 한재훈, 강민철, 유혁, 양경식, 2025 한국컴퓨터종합학술대회 (KCC 2025) (2025)
• [Domestic papers] 파이프라인 병렬화를 통한 엣지 LLM 학습 성능: 통신과 마이크로 배치 연산의 이해 - 박선재, 최원미, 안주영, 유혁, 양경식, 2025 한국컴퓨터종합학술대회 (KCC 2025) (2025)
• [Domestic papers] 지리 분산 학습 환경에서 GPU 성능을 고려한 배치 크기 및 로컬 스텝 수 조정 기법 - 신정윤, 신창용, 유혁, 양경식, 2025년도 하계종합학술발표회 (한국통신학회) (2025)
• [Domestic papers] 거대 언어 모델의 일괄 추론 수준에 따른 추론 시간, 정확도, 통신 및 GPU 메모리 점유량 비교분석 - 신창용, 고영훈, 유연호, 양경식, 유혁, 한국통신학회 논문지 제 49권 10호 (2024) (2024)
• [Domestic papers] IoT/엣지 컴퓨팅 환경에서 경량 보안 가상화 플랫폼의 워크로드 성능 및 자원 소모 비교 분석 - 고의진, 최원미, 양경식, 유혁, 한국통신학회 논문지 제 49권 10호 (2024) (2024)
• [Domestic papers] eBPF 기반 실시간/경량 GPU 워크로드 추적 기법 - 강민철, 고영훈, 유혁, 양경식, 2024 한국소프트웨어종합학술대회 (KSC2024) (2024)
• [Domestic papers] 6G 네트워크 시스템 구축을 위한 O-RAN 및 NVIDIA AI Aerial 플랫폼 비교분석 - 조휘주, 최원미, 최종인, 유혁, 양경식, 2024 한국소프트웨어종합학술대회 (KSC2024) (2024)
• [Domestic papers] 네트워크 트래픽 사이즈 예측 모델의 경량화를 위한 양자화 기법 분석 및 비교 - 권도혁, 조휘주, 유연호, 유혁, 양경식, 2024 한국소프트웨어종합학술대회 (KSC2024) (2024)
• [Domestic papers] 양자화 기법의 거대 언어 모델 간 메모리 및 추론 속도 비교 분석 - 박재림, 신창용, 양경식, 유혁, 2024 한국소프트웨어종합학술대회 (KSC2024) (2024)
• [Domestic papers] 대규모 언어 모델 대상 분할-연합학습에서의 레이어별 통신 비용 분석 - 안주영, 박선재, 최원미, 유혁, 양경식, 2024 한국소프트웨어종합학술대회 (KSC2024) (2024)
• [Domestic papers] 분산 딥러닝 학습에서 네트워크 대역폭과 모델 특성에 따른 학습 시간 변화 분석 - 최현목, 이현호, 유연호, 양경식, 유혁, 2024 한국소프트웨어종합학술대회 (KSC2024) (2024)
• [Domestic papers] GPU 구성 요소의 성능 및 전력 소비에 대한 민감도 분석 - 강준혁, 강민철, 고영훈, 유혁, 양경식, 2024 한국소프트웨어종합학술대회 (KSC2024) (2024)
• [Domestic papers] 분할-연합학습의 데이터 자원 이질성 극복을 위한 연구 동향 분석 - 노태윤, 정승우, 유연호, 양경식, 유혁, 2024 한국소프트웨어종합학술대회 (KSC2024) (2024)
• [Domestic papers] Expert 수와 배치 크기에 따른 Mixture of Experts 학습 성능 분석 - 조영준, 고영훈, 신창용, 유연호, 유혁, 양경식, 2024 한국컴퓨터종합학술대회 (KCC 2024) (2024)
• [Domestic papers] 분산 딥러닝 학습 프로세스와 운영체제 커널 간 인터페이스 병목 분석 - 강민철, 강준혁, 신창용, 유연호, 유혁, 양경식, 2024 한국컴퓨터종합학술대회 (KCC 2024) (2024)
• [Domestic papers] 허가형 블록체인을 위한 보안 컨테이너 활용 방안 연구 - 강윤경, 노태윤, 이준석, 최원미, 유연호, 양경식, 유혁, 2024년도 한국통신학회 하계종합학술발표회 (2024)
• [Domestic papers] 딥러닝 학습 모델 간 체크포인트 병목 분석 - 고영훈, 황인서, 신창용, 양경식, 유혁, 2023 한국소프트웨어종합학술대회 (KSC 2023) (2023)
• [Domestic papers] GPU 클러스터에서의 딥러닝 학습 스케줄링 정책별 선점 방식 분석 - 황인서, 고영훈, 신창용, 양경식, 유혁, 2023 한국소프트웨어종합학술대회 (KSC 2023) (2023)
• [Domestic papers] SDV를 위한 차량내 서비스 지향 통신의 보안 연구동향 - 신종혁, 유연호, 양경식, 유혁, 2023 한국소프트웨어종합학술대회 (KSC 2023) (2023)
• [Domestic papers] 허가형 블록체인에서 블록체인 노드 구성에 따른 성능 분석 - 이준석, 유연호, 양경식, 유혁, 2023 한국소프트웨어종합학술대회 (KSC 2023) (2023)
• [Domestic papers] GPU 공유 기법을 이용한 딥러닝 학습의 최적 배치 사이즈, 성능 및 자원 소모량 분석 - 이현호, 신창용, 고영훈, 유연호, 양경식, 유혁, 2023 한국소프트웨어종합학술대회 (KSC 2023) (2023)
• [Domestic papers] 멀티 테넌트 환경에서 블록체인 네트워크간 성능 병목 분석 - 이준석, 유연호, 이성규, 정승우, 양경식, 2023 한국정보과학회 학술발표논문집 (2023)
• [Domestic papers] 소프트웨어 정의 네트워킹에서 제어 평면과 전송 평면의 보안을 위한 블록체인 연구 동향 분석 - 이성규, 유연호, 양경식, 유혁, 2023 한국통신학회 학술대회논문집 (2023)
• [Domestic papers] 클라우드에서의 분산 딥러닝 작업 배치 기법 비교 및 분석 - 오종민, 이정환, 양경식, 유혁, 2023 한국통신학회 학술대회논문집 (2023)
• [Domestic papers] NVIDIA GPU 에서 측정 가능한 GPU 가속기 세부 성능지표 분석 - 신창용, 양경식, 유혁, 2023 한국통신학회 학술대회논문집 (2023)
• [Domestic papers] 데이터센터 스위치의 트래픽 분배 기법 비교 및 분석 - 이준석, 유연호, 양경식, 유혁, 2023 한국통신학회 학술대회논문집 (2023)
• [Domestic papers] 분산 딥러닝 학습을 위한 GPU 클러스터 스케줄러 연구 동향 분석 - 고영훈, 신창용, 양경식, 유혁, 2023 한국통신학회 학술대회논문집 (2023)
• [Domestic papers] 데이터센터 스위치의 다중 경로 트래픽 분산 라우팅 기법 분석 - 김호석, 유연호, 양경식, 유혁, 2022 한국정보과학회 학술발표논문집 (2022)
• [Domestic papers] 데이터센터 스위치의 정확한 트래픽 분배를 위한 다중 경로 가중치 예측 기법 - 김호석, 유연호, 양경식, 유혁, 2022 한국정보과학회 학술발표논문집 (2022)
• [Domestic papers] GPU 활용률 개선을 위한 TensorFlow의 GPU 메모리 할당 방식 분석 - 이진형, 신창용, 양경식, 2022 한국정보과학회 학술발표논문집 (2022)
• [Domestic papers] Kubernetes에서 분산 딥러닝을 위한 GPU 컨테이너 배치 기술 동향 분석 - 이정환, 양경식, 유혁, 2022 한국정보과학회 학술발표논문집 (2022)
• [Domestic papers] Short-lived TCP connection 환경에서의 성능 최적화를 위한 skb 커널 구조체 할당, 해제 및 사용량 분석 - 이준호, 양경식, 유혁, 2021 한국정보과학회 학술발표논문집 (2021)
• [Domestic papers] SDN에서 트래픽 예측을 위한 회귀 기반 기계학습의 단일 출력 모델 및 다중 출력 모델 간 성능 비교 분석 - 유연호, 양경식, 유혁, 2021 한국정보과학회 학술발표논문집 (2021)
• [Domestic papers] SDN 기반 네트워크 가상화 환경에서의 트래픽 정형 기법 병목 분석 - 강전진, 유연호, 양경식, 유혁, 2021 한국통신학회 학술대회논문집 (2021)
• [Domestic papers] 딥러닝 모델의 분산 학습 통신 병목 분석 - 구인회, 양경식, 유혁, 2021 한국통신학회 학술대회논문집 (2021)
• [Domestic papers] Short-lived TCP 연결 환경에서의 커널 구조체의 메모리 최대 사용량 및 병목 분석 - 김수완, 양경식, 유혁, 2020 한국정보과학회 학술발표논문집 (2020)
• [Domestic papers] Analysis of network hypervisor resource allocation for multiple SDN controllers - Anumeha, Gyeongsik Yang, Chuck Yoo, 2020 한국정보과학회 학술발표논문집 (2020)
• [Domestic papers] Support of Flow Bandwidth Limiting on Multi-tenant SDN - Gijun Moon, Heesang Jin, Gyeongsik Yang, Chuck Yoo, 2020 한국정보과학회 학술발표논문집 (2020)
• [Domestic papers] 프로그래머블 스위치 기반 네트워크 혼잡 제어 연구 동향 분석 - 강민구, 양경식, 유혁, 2020 한국정보과학회 학술발표논문집 (2020)
• [Domestic papers] 컨테이너 환경에서의 오버레이 네트워크 성능 및 병목 분석 - 신창용, 강민구, 양경식, 유혁, 2020 한국정보과학회 학술발표논문집 (2020)
• [Domestic papers] SDN 구조에서의 컨트롤러별 제어 트래픽 비교 - 김효경, 양경식, 유연호, 유혁, 2020 한국정보과학회 학술발표논문집 (2020)
• [Domestic papers] VOS: Accept 시스템 콜 최적화를 위한 가상 파일 시스템 설계 - 김문교, 김건희, 김수완, 양경식, 유혁, 2020 한국정보과학회 학술발표논문집 (2020)
• [Domestic papers] 데이터센터 초저지연 네트워킹 연구 및 기술 분석 - 양경식, 진희상, 유혁, 2019 한국정보과학회 학술발표논문집 (2019)
• [Domestic papers] SDN 기반의 가상화된 네트워크에서 저지연 성능 달성을 위한 트래픽 로드 밸런싱 기법 설계 - 진희상, 양경식, 유혁, 2019 한국정보과학회 학술발표논문집 (2019)
• [Domestic papers] Short-Lived TCP 연결에서의 성능 향상을 위한 메모리 할당 기법 설계 - 김수완, 양경식, 유혁, 2019 한국정보과학회 학술발표논문집 (2019)
• [Domestic papers] Machine Learning based Optimized Penetration Testing for Virtualized SDN - Anumeha, Gyeongsik Yang, Chuck Yoo, 2019 한국정보과학회 학술발표논문집 (2019)
• [Domestic papers] 테넌트별 컨트롤 트래픽 레이트 제어를 위한 SDN 하이퍼바이저 설계 - 유봉열, 양경식, 유혁, 2019 한국정보과학회 학술발표논문집 (2019)
• [Domestic papers] OF-DPA 지원을 위한 SDN 네트워크 하이퍼바이저 설계 - 유봉열, 양경식, 유혁, 2018 한국정보과학회 학술발표논문집 (2018)
• [Domestic papers] 가상화된 SDN에서 스위치 자원 소모 개선을 위한 가상 링크 내부 플로우 룰 관리 기법 - 정원태, 양경식, 유혁, 2017 한국정보과학회 학술대회논문집 (2017)
• [Domestic papers] SDN 기반 경로 지연 시간 측정 기법 - 양경식, 김성문, 유혁, 2017 한국정보과학회 학술발표논문집 (2017)
• [Domestic papers] 가상화된 SDN에서의 네트워크 장애복구 지연 분석 - 정원태, 양경식, 유혁, 2017 한국통신학회 학술대회논문집 (2017)
• [Domestic papers] 가상화된 SDN에서 효과적인 자원 활용을 위한 LISP 기반 IP 주소 가상화 기법 - 고영근, 양경식, 유봉열, 유혁, 정보과학회논문지 43(12) 1404-1411 (2016)
• [Domestic patents] APPARATUS AND METHOD FOR PREDICTING INFERENCE OVERHEAD OF DEEP LEARNING MODELS - Jongin Choi, Hwiju Cho, Younsu Nam, Chuck Yoo, Gyeongsik Yang, Republic of Korea, 2026. 08. | Pending, 10-2026-0143546 (2026)
• [Domestic patents] APPARATUS AND METHOD FOR INTERFERENCE PREDICTION AND GUARANTEE SYSTEM OF GPU SHARING FOR DISTRIBUTED DEEP LEARNING JOBS - Changyong Shin, Younghun Go, Yeonho Yoo, Gyeongsik Yang, Chuck Yoo, Republic of Korea, 2026. 07. | Registered, 10-2989655 (2026)
• [Domestic patents] DEVICE AND METHOD FOR FEDERATED LEARNING WITH HETEROGENEOUS DEVICES - Seungwoo Jung, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang, Republic of Korea, 2026. 07. | Pending, 10-2026-0136797 (2026)
• [Domestic patents] DEVICE AND METHOD FOR PARAMETER-EFFICIENT 12-LEAD ECG RECONSTRUCTION FROM A SINGLE LEAD - Junseok Lee, Chuck Yoo, Gyeongsik Yang, Republic of Korea, 2026. 06. | Pending, 10-2026-0113404 (2026)
• [Domestic patents] APPARATUS AND METHOD FOR CONTAINER CONFIGURATION FOR USER COMPUTATION OFFLOAD IN 6G SYSTEMS - Younsu Nam, Hwiju Cho, Jongin Choi, Chuck Yoo, Gyeongsik Yang, Republic of Korea, 2025. 11. | Pending, 10-2025-0178614 (2025)
• [Domestic patents] OPTIMAL GPU RESOURCE PROVISIONING FOR DEEP LEARNING - Minchul Kang, Younghun Go, Changyong Shin, Hyunho Lee, Jinwoo Jeong, Chuck Yoo, Gyeongsik Yang, Republic of Korea, 2025. 10. | Pending, 10-2025-0139688 (2025)
• [Domestic patents] APPARATUS AND METHOD FOR CONFIGURING GPU RESOURCES - Sera Kim, Chuck Yoo, Younghun Go, Kyungmin Kim, Changyong Shin, Gyeongsik Yang, Junho Yoon, Republic of Korea, 2025. 10. | Pending, 10-2025-0160782 (2025)
• [Domestic patents] APPARATUS AND METHOD FOR LEARNING BASED ON MULTI-GPU - Gyeong-Min Kim, Chuck Yoo, Minchul Kang, Gyeongsik Yang, Republic of Korea, 2025. 10. | Pending, 10-2025-0147951 (2025)
• [Domestic patents] APPARATUS AND METHOD FOR CONSORTIUM LEARNING SYSTEM FOR DEEP LEARNING MODEL FINE-TUNING ON PRIVATE DATASETS - Wonmi Choi, Juyoung Ahn, Sunjae Park, Chuck Yoo, Gyeongsik Yang, Republic of Korea, 2025. 09. | Pending, 10-2025-0126384 (2025)
• [Domestic patents] DEVICE AND METHOD FOR REAL-TIME AND LIGHTWEIGHT GPU WORKLOAD TRACING AND BOTTLENECK ANALYSIS - Minchul Kang, Younghun Go, Chuck Yoo, Gyeongsik Yang, Republic of Korea, 2025. 04. | Pending, 10-2025-0041946 (2025)
• [Domestic patents] APPARATUS AND METHOD FOR ACCURATE AND RESOURCE-EFFICIENT MULTIPATH ROUTING FOR DATA CENTER SOFTWARE SWITCHES - Yeonho Yoo, Gyeongsik Yang, Hwiju Cho, Changyong Shin, Chuck Yoo, Republic of Korea, 2025. 01. | Pending, 10-2025-0008013 (2025)
• [Domestic patents] APPARATUS AND METHOD FOR INTERFERENCE PREDICTION AND GUARANTEE SYSTEM OF GPU SHARING FOR DISTRIBUTED DEEP LEARNING JOBS - Changyong Shin, Gyeongsik Yang, Younghun Go, Yeonho Yoo, Chuck Yoo, Republic of Korea, 2024. 07. | Pending, 10-2024-0093797 (2024)
• [Domestic patents] DEVICE AND METHOD FOR LIGHTWEIGHT CONTAINER PACKET PROCESSING IN IOT ENVIRONMENT - Wonmi Choi, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang, Republic of Korea, 2024. 01. | Pending, 10-2024-0006612 (2024)
• [Domestic patents] DEVICE AND METHOD FOR PREDICTING TRAINING TIME AND RESOURCE CONSUMPTION THEREOF IN DISTRIBUTED DEEP LEARNING SYSTEM - Gyeongsik Yang, Changyong Shin, Yeonho Yoo, Jeunghwan Lee, Chuck Yoo, Republic of Korea, 2022. 11. | Pending, 10-2022-0147865 (2022)
• [Domestic patents] APPARATUS AND METHOD FOR PROFILING-BASED JOB ORDERING FOR DISTRIBUTED DEEP LEARNING - Changyong Shin, Gyeongsik Yang, Yeonho Yoo, Jeunghwan Lee, Chuck Yoo, Republic of Korea, 2022. 11. | Pending, 10-2022-0154609 (2022)
• [Domestic patents] APPRATUS AND METHOD FOR CONTROL CHANNEL ISOLATION BASED ON TIME-SERIES PREDICTION OF CONTROL TRAFFIC IN PROGRAMMABLE NETWORK VIRTUALIZATION - Yeonho Yoo, Gyeongsik Yang, Changyong Shin, Jeunghwan Lee, Chuck Yoo, Republic of Korea, 2022. 11. | Pending, 10-2022-0155709 (2022)
• [Domestic patents] APPARATUS AND METHOD FOR PROCESSING OF ESTABLISHMENT OF CONNECTION FOR TRANSMISSION CONTROL PROTOCOL - Junho Lee, Gyeongsik Yang, Yeonho Yoo, Chuck Yoo, Republic of Korea, 2022. 02. | Pending, 10-2022-0021310 (2022)
• [Domestic patents] TRAFFIC SHAPING APPARATUS AND METHOD FOR CONTROL TRAFFIC IN PROGRAMMABLE NETWORK VIRTUALIZATION - Chuck Yoo, Yeonho Yoo, Gyeongsik Yang, Republic of Korea, 2021. 11. | Registered, 10-2322451 (2021)
• [Domestic patents] NETWORK MONITORING APPARATUS AND METHOD THEREOF IN PROGRAMMABLE NETWORK VIRTUALIZATION - Gyeongsik Yang, Minkoo Kang, Chuck Yoo, Republic of Korea, 2021. 11. | Registered, 10-2322454 (2021)
• [Domestic patents] PACKET SCHEDULING APPARATUS AND METHOD FOR DISTRIBUTED DEEP LEARNING ACCELERATION THEREOF IN PROGRAMMABLE SWITCH - Gyeongsik Yang, Minkoo Kang, Chuck Yoo, Republic of Korea, 2021. 06. | Registered, 10-2296319 (2021)
• [Domestic patents] APPARATUS AND METHOD FOR NETWORK LINK FAIL-OVER CONSIDERING BANDWIDTH IN PROGRAMMABLE NETWORK VIRTUALIZATION - Heesang Jin, Gyeongsik Yang, Chuck Yoo, Republic of Korea, 2020. 10. | Registered, 10-2172232 (2020)
• [Domestic patents] Method and Framework for Traffic Engineering in Network Hypervisor of SDN-based Network Virtualization Platform - Seong-mun Kim, Gyeongsik Yang, Sung-gi Min, Chuck Yoo, Republic of Korea,, 2019. 08. | Registered, 10-2011021 (2019)
• [Domestic patents] Flow Rule Virtualization Apparatus and Method thereof in Programmable Network Virtualization - Gyeongsik Yang, Bong-yeol Yu, Chuck Yoo, Republic of Korea 2019. 05. | Registered, 10-1982230 (2019)
• [Domestic patents] Method for Measuring Path Latency based on SDN - Gyeongsik Yang, Seong-mun Kim, Chuck Yoo, Republic of Korea, 2019. 02. | Registered, 10-1962346 (2019)
• [Domestic patents] Method and System for IP Address Virtualization in SDN-based Network Virtualization Platform - Youngkeun Go, Gyeongsik Yang, Bong-yeol Yu, Chuck Yoo, Republic of Korea, 2017. 11. | Registered, 10-1794719 (2017)
• [International papers] Residual Sparsification via Output Importance for Compressing Mixture-of-Experts LLMs - Seungwoo Jung, Dohyeok Kwon, Seungmin Cha, Junseok Lee, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang, The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), Main Track, Budapest, Hungary, 2026. (Accepted) (2026)
• [International papers] Enabling KV Caching of Shared Prefix for Diffusion Language Models - Younghun Go, Jaehoon Han, Changyong Shin, Chuck Yoo, Gyeongsik Yang, The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), Main Track, Budapest, Hungary, 2026. (Accepted) (2026)
• [International papers] Parallelism Strategy Chaining for Fast Training Convergence - Minchul Kang, Changyong Shin, Younghun Go, Hyunho Lee, Jinwoo Jeong, Chuck Yoo, Gyeongsik Yang, The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), Main Track, Budapest, Hungary, 2026. (Accepted) (2026)
• [International papers] GeoMesh: Workload-Balanced and Sign-Compressed Geo-Distributed LLM Training - Changyong Shin, Jaerim Park, Minchul Kang, Younghun Go, Zhixiong Niu, Yongqiang Xiong, Gyeongsik Yang, Chuck Yoo, The 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026), Findings, Budapest, Hungary, 2026. (Accepted) (2026)
• [International papers] Not All AI Agents Are Equal: Characterizing Resource and Performance Dynamics - Wonmi Choi, Minuk Park, Zhixiong Niu, Yongqiang Xiong, Chuck Yoo, Gyeongsik Yang, The 34th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2026), Acceptance rate 23%, Genova, Italy, 2026. (Accepted) (2026)
• [International papers] Xronos: Heterogeneity-Aware Tensor Parallelism for Collaborative LLM Fine-Tuning on Edge CPUs - Wonmi Choi, Sunjae Park, Dohyeok Kwon, Zhixiong Niu, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang, The 34th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2026), Acceptance rate 23%, Genova, Italy, 2026. (Accepted) (2026)
• [International papers] Accurate Simulation of Distributed Training Jobs with Network Contention Modeling - Yeonho Yoo, Hyunho Lee, Hyunmok Choi, Chuck Yoo, Gyeongsik Yang, The 34th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2026), Acceptance rate 23%, Genova, Italy, 2026. (Accepted) (2026)
• [International papers] Unified Digital Biomarker Platform for Wearable Devices Assuring Integrity, Heterogeneity, and Scalability - Yeonho Yoo, Junseok Lee, Seungwoo Jung, Yunkyung Kang, Dosun Lim, Youngpil Kim, Gyeongsik Yang, Chuck Yoo, Scientific Reports, 2026. (2026)
• [International papers] Inversion from ECG Foundation Model - Junseok Lee, Seungwoo Jung, Gyeongsik Yang*, Chuck Yoo, The 29th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026), Acceptance rate 28%, Strasbourg, France, pp. 311–321, 2026, doi: 10.1007/978-3-032-38260-3_30. (2026)
• [International papers] Unified KV Pooling to Accelerate Long-Context LLM Serving - Minchul Kang, Changyong Shin, Jinwoo Jeong, Jaerim Park, Woohyun Kim, Bonyul Gu, Dongwoo Kang, Gyeongsik Yang, Chuck Yoo, arXiv preprint arXiv:2606.14779, 2026. (2026)
• [International papers] Making Sense of Job Preemption for Distributed Deep Learning Acceleration - Younghun Go, Changyong Shin, Minchul Kang, Jaehyun Hwang, Chuck Yoo, Gyeongsik Yang, 63rd ACM/IEEE Design Automation Conference (DAC '26), Acceptance rate 22.3%, Long Beach, California, USA, 2026. (Accepted) (2026)
• [International papers] Training Time Prediction for Mixed Precision-based Distributed Training - Minchul Kang, Changyong Shin, Jinwoo Jeong, Hyunho Lee, Younghun Go, Gyeongmin Kim, Gyeongsik Yang, Chuck Yoo, arXiv preprint arXiv:2604.16145, 2026. (2026)
• [International papers] Prediction-based GPU Sharing for Distributed Training - Changyong Shin, Younghun Go, Yeonho Yoo, Jinwoo Jeong, Jaehyun Hwang, Gyeongsik Yang, Chuck Yoo, Future Generation Computer Systems, Volume 181, 108413, JCR 2023 IF 6.2 Top 9.4%, 2026. (2026)
• [International papers] GPU Memory Prediction for Multimodal Model Training - Jinwoo Jeong, Minchul Kang, Younghun Go, Changyong Shin, Hyunho Lee, Junho Yoon, Gyeongsik Yang*, Chuck Yoo, 1st Workshop on Systems for Agentic AI in conjunction with the 31st ACM Symposium on Operating Systems Principles (SOSP '25), Seoul, Korea, 2025. (2025)
• [International papers] Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead - Junseok Lee, Yeonho Yoo, Jinkyu Kim, Dosun Lim, Gyeongsik Yang*, Chuck Yoo, The 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025), Acceptance rate 29%, Daejeon, Korea, 2025. (2025)
• [International papers] Revisiting Traffic Splitting for Software Switch in Datacenter - Yeonho Yoo, Gyeongsik Yang*, Changyong Shin, Hwiju Cho, Wonmi Choi, Zhixiong Niu, Chuck Yoo, ACM SIGMETRICS 2025. / Proc. ACM Meas. Anal. Comput. Syst. 9, 2, Article 39 (June 2025), Acceptance rate 17%, New York, USA, 2025. (2025)
• [International papers] Machine Learning-based Prediction Models for Control Traffic in SDN Systems - Yeonho Yoo, Gyeongsik Yang, Changyong Shin, Junseok Lee, Chuck Yoo, IEEE Transactions on Services Computing, JCR 2021 IF 11.019 Top 1.4% Volume: 16, Issue: 6, Nov.-Dec. 2023, doi: 10.1109/TSC.2023.3324007. (2024)
• [International papers] 6G Interfaces in O-RAN: Concepts, Implementation, and Future Directions - Hwiju Cho, Jongin Choi, Wonmi Choi, Gyeongsik Yang*, ICTC 2024: Workshop on 6G Research Initiative, Jeju, Korea, 2024. (2024)
• [International papers] Predictive Placement of Geo-distributed Blockchain Nodes for Performance Guarantee - Junseok Lee, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang*, 2024 IEEE 17th International Conference on Cloud Computing (CLOUD), Shenzhen, China, 2024, pp. 66-68, doi: 10.1109/CLOUD62652.2024.00017. (2024)
• [International papers] Harmonia: Accurate Federated Learning with All-Inclusive Dataset - Wonmi Choi, Juyoung Ahn, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang*, 2024 IEEE 17th International Conference on Cloud Computing (CLOUD), Shenzhen, China, 2024, pp. 302-304, doi: 10.1109/CLOUD62652.2024.00041. (2024)
• [International papers] Prediction of Permissioned Blockchain Performance for Resource Scaling Configurations - Seungwoo Jung, Yeonho Yoo, Gyeongsik Yang*, Chuck Yoo, ICT Express, JCR 2023 IF 4.1 Top 23.1% Volume 10, Issue 6, December 2024, pp. 1253-1258, doi: 10.1016/j.icte.2024.09.003. (2024)
• [International papers] Intelligent Packet Processing for Performant Containers in IoT - Wonmi Choi, Yeonho Yoo, Kyungwoon Lee, Zhixiong Niu, Peng Cheng, Yongqiang Xiong, Gyeongsik Yang*, Chuck Yoo, IEEE Internet of Things Journal, JCR 2023 IF 8.2 Top 3.4% Volume: 11, Issue: 24, 15 December 2024, pp. 40388-40403, doi: 10.1109/JIOT.2024.3453410. (2024)
• [International papers] Selective Preemption of Distributed Deep Learning Training - Younghun Go, Changyong Shin, Jeunghwan Lee, Yeonho Yoo, Gyeongsik Yang*, Chuck Yoo, 2023 IEEE 16th International Conference on Cloud Computing (CLOUD), Chicago, IL, USA, 2023, pp. 175-177, doi: 10.1109/CLOUD60044.2023.00028. (2023)
• [International papers] Control Channel Isolation in SDN Virtualization: A Machine Learning Approach - Yeonho Yoo, Gyeongsik Yang*, Changyong Shin, Jeunghwan Lee, Chuck Yoo, 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Acceptance rate < 20%, accepted, Bangalore, India, 2023, pp. 273-285, doi: 10.1109/CCGrid57682.2023.00034. (2023)
• [International papers] TeaVisor: Network Hypervisor for Bandwidth Isolation in SDN-NV - Yeonho Yoo, Gyeongsik Yang*, Jeunghwan Lee, Changyong Shin, Hoseok Kim, and Chuck Yoo, IEEE Transactions on Cloud Computing, JCR 2020 IF 5.938 Top 9.545% Volume: 11, Issue: 3, 01 July-Sept. 2023, doi: 10.1109/TCC.2022.3225915. (2022)
• [International papers] Xonar: Profiling-based Job Orderer for Distributed Deep Learning - Changyong Shin, Gyeongsik Yang*, Yeonho Yoo, Jeunghwan Lee, and Chuck Yoo, 2022 IEEE 15th International Conference on Cloud Computing (CLOUD), work-in-progress, Acceptance rate 25.5% (49/192), Barcelona, Spain, 2022, pp. 112-114, doi: 10.1109/CLOUD55607.2022.00030. (2022)
• [International papers] Prediction of the Resource Consumption of Distributed Deep Learning Systems - Gyeongsik Yang, Changyong Shin, Jeunghwan Lee, Yeonho Yoo, Chuck Yoo, ACM SIGMETRICS 2022. / Proc. ACM Meas. Anal. Comput. Syst. 6, 2, Article 29 (June 2022), Acceptance rate 10.7% (13/122, winter submission), Virtual, Association for Computing Machinery, New York, NY, USA, 25 pages. doi: 10.1145/3530895 (2022)
• [International papers] Accurate and Efficient Monitoring for Virtualized SDN in Clouds - Gyeongsik Yang, Yeonho Yoo, Minkoo Kang, Heesang Jin, and Chuck Yoo, IEEE Transactions on Cloud Computing, JCR 2020 IF 5.938 Top 9.545%, vol. 11, no. 1, pp. 229-246, 1 Jan.-March 2023, doi: 10.1109/TCC.2021.3089225. (2021)
• [International papers] A Case for SDN-based Network Virtualization - Gyeongsik Yang, Changyong Shin, Yeonho Yoo, and Chuck Yoo, 2021 29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), Virtual (originally in, Houston, TX, USA), 2021, pp. 1-8, doi: 10.1109/MASCOTS53633.2021.9614291. (2021)
• [International papers] Enhanced control path for repeated TCP connections - Junho Lee, Gyeongsik Yang, Zhixiong Niu, Peng Cheng, Yongqiang Xiong, and Chuck Yoo, 2021 12th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys '21), Virtual, Association for Computing Machinery, New York, NY, USA, 131–137. https://doi.org/10.1145/3476886.3477512 (2021)
• [International papers] Bandwidth Isolation Guarantee for SDN Virtual Networks - Gyeongsik Yang, Yeonho Yoo, Minkoo Kang, Heesang Jin, and Chuck Yoo, IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, Acceptance rate 19.9%, Virtual (originally in, Vancouver, BC, Canada), 2021, pp. 1-10, doi: 10.1109/INFOCOM42981.2021.9488797. (2021)
• [International papers] Adaptive Control Channel Traffic Shaping for Virtualized SDN in Clouds - Yeonho Yoo, Gyeongsik Yang, Minkoo Kang, and Chuck Yoo, 2020 IEEE 13th International Conference on Cloud Computing (CLOUD), work-in-progress, Acceptance rate 26.3%, Virtual (originally in, Beijing, China), 2020, pp. 22-24, doi: 10.1109/CLOUD49709.2020.00013. (2020)
• [International papers] TensorExpress: In-Network Communication Scheduling for Distributed Deep Learning - Minkoo Kang, Gyeongsik Yang, Yeonho Yoo, and Chuck Yoo, 2020 IEEE 13th International Conference on Cloud Computing (CLOUD), work-in-progress, Acceptance rate 26.3%, Virtual (originally in, Beijing, China), 2020, pp. 25-27, doi: 10.1109/CLOUD49709.2020.00014. (2020)
• [International papers] Exploring the Characteristics of Hyperledger Fabric in Resource Consumption - Jeongsu Kim, Kyungwoon Lee, Gyeongsik Yang, Kwanhoon Lee, Jaemin Im, and Chuck Yoo, 2020 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), Virtual (originally in, Paris, France), 2020, pp. 208-209, doi: 10.1109/BRAINS49436.2020.9223275. (2020)
• [International papers] Network Monitoring for SDN Virtual Networks - Gyeongsik Yang, Heesang Jin, Minkoo Kang, Gi Jun Moon, and Chuck Yoo, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications, Acceptance rate 19.8%, Virtual (originally in, Toronto, ON, Canada), 2020, pp. 1261-1270, doi: 10.1109/INFOCOM41043.2020.9155260. (2020)
• [International papers] Resource Analysis of Blockchain Consensus Algorithms in Hyperledger Fabric - Gyeongsik Yang, Kwanhoon Lee, Kyungwoon Lee, Yeonho Yoo, Hyowon Lee, and Chuck Yoo, IEEE Access, JCR 2020 IF 3.367 Top 34.249%, vol. 10, pp. 74902-74920, 2022, doi: 10.1109/ACCESS.2022.3190979. (2022)
• [International papers] Libera for Programmable Network Virtualization - Gyeongsik Yang, Bong-yeol Yu, Heesang Jin, and Chuck Yoo, IEEE Communications Magazine, JCR 2018 IF 11.052 Top 2.44%, vol. 58, no. 4, pp. 38-44, April 2020, doi: 10.1109/MCOM.001.1900290. (2020)
• [International papers] CLEO: Machine Learning for ECMP - Heesang Jin, Minkoo Kang, Gyeongsik Yang, and Chuck Yoo, 15th International Conference on emerging Networking EXperiments and Technologies (CoNEXT '19 Companion). Association for Computing Machinery, New York, NY, USA, doi:10.1145/3360468.3366768 (2019)
• [International papers] FAVE: Bandwidth-Aware Failover in Virtualized SDN for Clouds - Heesang Jin, Gyeongsik Yang, Bong-yeol Yu, and Chuck Yoo, 2019 IEEE 12th International Conference on Cloud Computing (CLOUD), work-in-progress, Milan, Italy, 2019, pp. 505-507, doi: 10.1109/CLOUD.2019.00092. (2019)
• [International papers] WhiteVisor: Support of White-Box Switch in SDN-Based Network Hypervisor - Bong-yeol Yu, Gyeongsik Yang, Heesang Jin, and Chuck Yoo, 2019 International Conference on Information Networking (ICOIN), Kuala Lumpur, Malaysia, 2019, pp. 242-247, doi: 10.1109/ICOIN.2019.8718167. (2019)
• [International papers] TALON: Tenant Throughput Allocation Through Traffic Load-Balancing in Virtualized Software-Defined Networks - Heesang Jin, Gyeongsik Yang, Bong-yeol Yu, and Chuck Yoo, 2019 International Conference on Information Networking (ICOIN), Kuala Lumpur, Malaysia, 2019, pp. 233-238, doi: 10.1109/ICOIN.2019.8717976. (2019)
• [International papers] FlowVirt: Flow Rule Virtualization for Dynamic Scalability of Programmable Network Virtualization - Gyeongsik Yang, Bong-yeol Yu, Wontae Jeong, and Chuck Yoo, 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), Acceptance rate 18.97% (48/253), San Francisco, CA, USA, 2018, pp. 350-358, doi: 10.1109/CLOUD.2018.00051. (2018)
• [International papers] Comprehensive Prediction Models of Control Traffic for SDN Controllers - Bong-yeol Yu, Gyeongsik Yang, and Chuck Yoo, 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft) IEEE, Montreal, QC, Canada, 2018, pp. 262-266, doi: 10.1109/NETSOFT.2018.8460111. (2018)
• [International papers] LiteVisor: A Network Hypervisor to Support Flow Aggregation and Seamless Network Reconfiguration for VM Migration in Virtualized Software-Defined Networks - Gyeongsik Yang, Bong-Yeol Yu, Seong-Mun Kim, and Chuck Yoo, IEEE Access, JCR 2020 IF 3.367 Top 34.249%, vol. 6, pp. 65945-65959, 2018, doi: 10.1109/ACCESS.2018.2877416. (2018)
• [International papers] Efficient big link allocation scheme in virtualized software-defined networking - Wontae Jeong, Gyeongsik Yang, Seong-Mun Kim, and Chuck Yoo, 2017 13th International Conference on Network and Service Management (CNSM) IEEE, Tokyo, Japan, 2017, pp. 1-7, doi: 10.23919/CNSM.2017.8256020. (2017)
• [International papers] BFD-based link latency measurement in software defined networking - Seong-Mun Kim, Gyeongsik Yang, Chuck Yoo, and Sung-Gi Min, 2017 13th International Conference on Network and Service Management (CNSM) IEEE, Tokyo, Japan, 2017, pp. 1-6, doi: 10.23919/CNSM.2017.8256023. (2017)
• [International papers] KVS: high-efficiency kernel-level virtual switch - Heungsik Choi, Gyeongsik Yang, Kyungwoon Lee, and Chuck Yoo, 2017 Symposium on Cloud Computing (SoCC '17), poster Association for Computing Machinery, New York, NY, USA, 635. https://doi.org/10.1145/3127479.3131615 (2017)
• [International papers] AggFlow: Scalable and Efficient Network Address Virtualization on Software Defined Networking - Bong-yeol Yu, Gyeongsik Yang, Kyungwoon Lee, and Chuck Yoo, 2016 ACM Workshop on Cloud-Assisted Networking (CAN '16) / CoNEXT workshop Association for Computing Machinery, New York, NY, USA, 1–6. https://doi.org/10.1145/3010079.3012012 (2016)
• [International patents] DEVICE AND METHOD FOR REAL-TIME AND LIGHTWEIGHT GPU WORKLOAD TRACING AND BOTTLENECK ANALYSIS - Minchul Kang, Younghun Go, Chuck Yoo, Gyeongsik Yang, United States, 2026. 02. | Pending, 19/531,439 (2026)
• [International patents] APPRATUS AND METHOD FOR ACCURATE AND RESOURCE-EFFICIENT MULTIPHTH ROUTING FOR DATA CENTER SOFTWARE SWITCHES - Yeonho Yoo, Gyeongsik Yang, Changyong Shin, Hwiju Cho, Chuck Yoo, United States, 2026. 01. | Pending, 19/453,310 (2026)
• [International patents] CONTROL CHANNEL ISOLATION WITH TIME-SERIES CONTROL TRAFFIC PREDICTION IN PROGRAMMABLE NETWORK VIRTUALIZATION - Yeonho Yoo, Gyeongsik Yang, Changyong Shin, Jeunghwan Lee, Hyuck Yoo, United States, 2023. 06. (Submitted), 2024. 08. (Registered) | Registered, 18/206,813 (2024)
• [International patents] DEVICE AND METHOD FOR LIGHTWEIGHT CONTAINER PACKET PROCESSING IN IOT ENVIRONMENT - Wonmi Choi, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang, United States, 2024. 07. | Pending, 18/769,154 (2024)
• [International patents] TRAINING TIME AND RESOURCE CONSUMPTION PREDICTION IN DEEP LEARNING - Gyeongsik Yang, Changyong Shin, Yeonho Yoo, Jeunghwan Lee, Chuck Yoo, United States, 2023. 06. | Pending, 18/329,706 (2023)
• [International patents] PROFILING-BASED JOB ORDERING FOR DISTRIBUTED DEEP LEARNING - Changyong Shin, Gyeongsik Yang, Yeonho Yoo, Jeunghwan Lee, Hyuck Yoo, United States, 2023. 06. | Pending, 18/829,720 (2023)
• [International patents] NETWORK MONITORING APPARATUS AND METHOD THEREOF IN PROGRAMMABLE NETWORK VIRTUALIZATION - Gyeongsik Yang, Minkoo Kang, Chuck Yoo, United States, 2023. 01. | Registered, 11,563,655 (2023)
• [International patents] FLOW RULE VIRTUALIZATION APPARATUS AND METHOD THEREOF IN PROGRAMMABLE NETWORK VIRTUALIZATION - Gyeongsik Yang, Bong-yeol Yu, Chuck Yoo, United States, 2020. 06. | Registered, 10,686,700 (2020)
• [SW registration] Real-Time AI/ML Image Inference Offloading Application in a 6G Edge Cloud Environment - Younsu Nam, Hwiju Cho, Jongin Choi, Gyeongsik Yang, Republic of Korea, 2026. 06. | C-2026-032387 (2026)
• [SW registration] Analysis Tool for GPU Utilization Across 6G Mobile Communication and AI/ML Inference Tasks - Hwiju Cho, Younsu Nam, Jongin Choi, Chuck Yoo, Gyeongsik Yang, Republic of Korea, 2025. 11. | C-2025-052655 (2025)