A New Key Management Scheme for Distributed Encrypted Storage Systems. - Myungjin Lee; Hyokyung Bahn; Kijoon Chae (ICCSA (1), 2006)

A cross-layer approach for TCP optimization over wireless and mobile networks. - Myungjin Lee; Moonsoo Kang; Myungchul Kim; Jeonghoon Mo (Comput. Commun., 2008)

Blog Classification using K-means. - Ki Jun Lee; Myungjin Lee; Wooju Kim (ICEIS (4), 2009)

Semantic Web Constraint Language and its application to an intelligent shopping agent. - Hak-Jin Kim; Wooju Kim; Myungjin Lee (Decis. Support Syst., 2009)

Two Samples are Enough: Opportunistic Flow-level Latency Estimation using NetFlow. - Myungjin Lee; Nick G. Duffield; Ramana Rao Kompella (INFOCOM, 2010)

An Explorative Association-Based Search for the Semantic Web. - Myungjin Lee; Wooju Kim; Taehyung (George) Wang (ICSC, 2010)

Not all microseconds are equal: fine-grained per-flow measurements with reference latency interpolation. - Myungjin Lee; Nick G. Duffield; Ramana Rao Kompella (SIGCOMM, 2010)

Framework of Semantic Web Services for Ubiquitous City Management Center. - Myungjin Lee; Kyungmin Kim; Sharly Joana Halder; Wooju Kim (SUTC/UMC, 2010)

AjaxTracker: Active Measurement System for High-Fidelity Characterization of AJAX Applications. - Myungjin Lee; Ramana Rao Kompella; Sumeet Singh (WebApps, 2010)

Scheduling in mapreduce-like systems for fast completion time. - Hyunseok Chang; Murali S. Kodialam; Ramana Rao Kompella; T. V. Lakshman; Myungjin Lee; Sarit Mukherjee (INFOCOM, 2011)

RelSamp: Preserving application structure in sampled flow measurements. - Myungjin Lee; Mohammad Y. Hajjat; Ramana Rao Kompella; Sanjay G. Rao (INFOCOM, 2011)

Enabling Flow-level Latency Measurements across Routers in Data Centers. - Parmjeet Singh; Myungjin Lee; Sagar Kumar; Ramana Rao Kompella (Hot-ICE, 2011)

Using NetMagic to observe fine-grained per-flow latency measurements. - Tao Li 008; Zhigang Sun; Chunbo Jia; Qi Su; Myungjin Lee (SIGCOMM, 2011)

Fine-grained latency and loss measurements in the presence of reordering. - Myungjin Lee; Sharon Goldberg; Ramana Rao Kompella; George Varghese (SIGMETRICS, 2011)

The Dynamic Generation of Refining Categories in Ontology-Based Search. - Yongjun Zhu; Dongkyu Jeon; Wooju Kim; June Seok Hong; Myungjin Lee; Zhuguang Wen; Yanhua Cai (JIST, 2012)

MAPLE: a scalable architecture for maintaining packet latency measurements. - Myungjin Lee; Nick G. Duffield; Ramana Rao Kompella (Internet Measurement Conference, 2012)

A scalable architecture for maintaining packet latency measurements. - Myungjin Lee; Nick G. Duffield; Ramana Rao Kompella (SIGMETRICS, 2012)

Searching and ranking method of relevant resources by user intention on the Semantic Web. - Myungjin Lee; Wooju Kim; Sangun Park (Expert Syst. Appl., 2012)

New Multiple-Times Programmable CMOS ROM Cell. - In-Young Chung; Seong Yeol Jeong; Sung Min Seo; Myungjin Lee; Taesu Jang; Seon-Yong Cha; Young June Park (IEICE Trans. Electron., 2012)

Opportunistic Flow-Level Latency Estimation Using Consistent NetFlow. - Myungjin Lee; Nick G. Duffield; Ramana Rao Kompella (IEEE/ACM Trans. Netw., 2012)

High-fidelity measurements in low-latency networks - Myungjin Lee (2012)

CloudMirror: Application-Aware Bandwidth Reservations in the Cloud. - Jeongkeun Lee; Myungjin Lee; Lucian Popa 002; Yoshio Turner; Sujata Banerjee; Puneet Sharma; Bryan Stephenson (HotCloud, 2013)

High-Fidelity Per-Flow Delay Measurements With Reference Latency Interpolation. - Myungjin Lee; Nick G. Duffield; Ramana Rao Kompella (IEEE/ACM Trans. Netw., 2013)

On the impact of 802.11n frame aggregation on end-to-end available bandwidth estimation. - Arsham Farshad; Myungjin Lee; Mahesh K. Marina; Francisco J. Garcia (SECON, 2014)

Application-driven bandwidth guarantees in datacenters. - Jeongkeun Lee; Yoshio Turner; Myungjin Lee; Lucian Popa 002; Sujata Banerjee; Joon-Myung Kang; Puneet Sharma (SIGCOMM, 2014)

FineComb: Measuring Microscopic Latency and Loss in the Presence of Reordering. - Myungjin Lee; Sharon Goldberg; Ramana Rao Kompella; George Varghese (IEEE/ACM Trans. Netw., 2014)

TCPRand: Randomizing TCP payload size for TCP fairness in data center networks. - Soojeon Lee; Myungjin Lee; Dongman Lee; Hyungsoo Jung 001; Byoung-Sun Lee (INFOCOM, 2015)

CherryPick: tracing packet trajectory in software-defined datacenter networks. - Praveen Tammana; Rachit Agarwal 001; Myungjin Lee (SOSR, 2015)

A flow measurement architecture to preserve application structure. - Myungjin Lee; Mohammad Y. Hajjat; Ramana Rao Kompella; Sanjay G. Rao (Comput. Networks, 2015)

Demand-aware centralized traffic scheduling in Wireless LANs. - Myungchul Kim 001; Sangyup Han; Myungjin Lee (Networking, 2016)

Simplifying Datacenter Network Debugging with PathDump. - Praveen Tammana; Rachit Agarwal 001; Myungjin Lee (OSDI, 2016)

Randomizing TCP payload size for TCP fairness in data center networks. - Soojeon Lee; Dongman Lee; Myungjin Lee; Hyungsoo Jung 001; Byoung-Sun Lee (Comput. Networks, 2017)

AMP: A Better Multipath TCP for Data Center Networks. - Morteza Kheirkhah; Myungjin Lee (CoRR, 2017)

Fault Localization in Large-Scale Network Policy Deployment. - Praveen Tammana; Chandra Nagarajan; Pavan Mamillapalli; Ramana Rao Kompella; Myungjin Lee (ICDCS, 2018)

ApproxIoT: Approximate Analytics for Edge Computing. - Zhenyu Wen; Do Le Quoc; Pramod Bhatotia; Ruichuan Chen; Myungjin Lee (ICDCS, 2018)

Distributed Network Monitoring and Debugging with SwitchPointer. - Praveen Tammana; Rachit Agarwal 001; Myungjin Lee (NSDI, 2018)

Formal Analysis of Sneak-Peek: A Data Centre Attack and Its Mitigations. - Wei Chen 023; Yuhui Lin; Vashti Galpin; Vivek Nigam; Myungjin Lee; David Aspinall 001 (SEC, 2018)

Approximate Edge Analytics for the IoT Ecosystem. - Zhenyu Wen; Do Le Quoc; Pramod Bhatotia; Ruichuan Chen; Myungjin Lee (CoRR, 2018)

AMP: An Adaptive Multipath TCP for Data Center Networks. - Morteza Kheirkhah; Myungjin Lee (Networking, 2019)

A solution to MPTCP's inefficiencies under the incast problem for Data Center Networks. - Morteza Kheirkhah; Myungjin Lee (Comput. Commun., 2020)

10.1 A 116μ W 104.4dB-DR 100.6dB-SNDR CT Δ∑ Audio ADC Using Tri-Level Current-Steering DAC with Gate-Leakage Compensated Off-Transistor-Based Bias Noise Filter. - Chilun Lo; Jongmi Lee; Yong Lim; Younghyun Yoon; Hyunseok Hwang; Jaehoon Lee 005; Moo-Yeol Choi; Myungjin Lee; Seunghyun Oh; Jongwoo Lee (ISSCC, 2021)

GLYCO: a tool to quantify glycan shielding of glycosylated proteins. - Myungjin Lee; Mateo Reveiz; Reda Rawi; Peter D. Kwong; Gwo-Yu Chuang (Bioinform., 2022)

Flame: Simplifying Topology Extension in Federated Learning. - Harshit Daga; Jaemin Shin 005; Dhruv Garg; Ada Gavrilovska; Myungjin Lee; Ramana Rao Kompella (SoCC, 2023)

Many-Task Federated Learning: A New Problem Setting and A Simple Baseline. - Ruisi Cai; Xiaohan Chen; Shiwei Liu 003; Jayanth Srinivasa; Myungjin Lee; Ramana Kompella; Zhangyang Wang (CVPR Workshops, 2023)

MOHAWK: Mobility and Heterogeneity-Aware Dynamic Community Selection for Hierarchical Federated Learning. - Allen-Jasmin Farcas; Myungjin Lee; Ramana Rao Kompella; Hugo Latapie; Gustavo de Veciana; Radu Marculescu (IoTDI, 2023)

An In-Depth Measurement Analysis of 5G mmWave PHY Latency and Its Impact on End-to-End Delay. - Rostand A. K. Fezeu; Eman Ramadan; Wei Ye 009; Benjamin Minneci; Jack Xie; Arvind Narayanan; Ahmad Hassan; Feng Qian 001; Zhi-Li Zhang; Jaideep Chandrashekar; Myungjin Lee (PAM, 2023)

EENet: Learning to Early Exit for Adaptive Inference. - Fatih Ilhan; Ling Liu 001; Ka Ho Chow; Wenqi Wei 001; Yanzhao Wu 001; Myungjin Lee; Ramana Kompella; Hugo Latapie; Gaowen Liu (CoRR, 2023)

SuperFed: Weight Shared Federated Learning. - Alind Khare; Animesh Agrawal; Myungjin Lee; Alexey Tumanov (CoRR, 2023)

Federated Learning Operations Made Simple with Flame. - Harshit Daga; Jaemin Shin 005; Dhruv Garg; Ada Gavrilovska; Myungjin Lee; Ramana Rao Kompella (CoRR, 2023)

Analysis of Weather Factors on Aircraft Cancellation using a Multilayer Complex Network. - Kyunghun Kim; Hoyong Lee; Myungjin Lee; Young Hye Bae; Hung Soo Kim; Soojun Kim (Entropy, 2023)

A 105.8dB A-weighted DR CT Delta-Sigma Audio ADC Using Current-Steering DAC Current Recycling Amplifier. - Moo-Yeol Choi; Myungjin Lee; Minsung Kim; Dongsu Kim; Jongwoo Lee (A-SSCC, 2024)

Enhancing Large Language Models through Transforming Reasoning Problems into Classification Tasks. - Tarun Raheja; Raunak Sinha; Advit Deepak; Will Healy; Jayanth Srinivasa; Myungjin Lee; Ramana Kompella (LREC/COLING, 2024)

FEO: Efficient Resource Allocation for FaaS at the Edge. - Anirudh Sarma; Jinsun Yoo; Jithin Kallukalam Sojan; Umakishore Ramachandran; Myungjin Lee (DEBS, 2024)

DεpS: Delayed ε-Shrinking for Faster Once-for-All Training. - Aditya Annavajjala; Alind Khare; Animesh Agrawal; Igor Fedorov; Hugo Latapie; Myungjin Lee; Alexey Tumanov (ECCV (89), 2024)

SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-device Inference. - Alind Khare; Animesh Agrawal; Aditya Annavajjala; Payman Behnam; Myungjin Lee; Hugo Latapie; Alexey Tumanov (ECCV (79), 2024)

Enabling LEO Satellite Vertical Handover for Massive 6G IoT Random Access. - Luis Tello-Oquendo; Faisal Ahmed; Chia-Hung Lin; Shih-Chun Lin 002; Myungjin Lee (ICC, 2024)

A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization. - Xinwen Zhang; Ali Payani; Myungjin Lee; Richard Souvenir; Hongchang Gao (ICML, 2024)

CHESSFL: Clustering Hierarchical Embeddings for Semi-Supervised Federated Learning. - Allen-Jasmin Farcas; Myungjin Lee; Ali Payani; Hugo Latapie; Ramana Rao Kompella; Radu Marculescu (IoTDI, 2024)

LIFL: A Lightweight, Event-driven Serverless Platform for Federated Learning. - Shixiong Qi; K. K. Ramakrishnan; Myungjin Lee (MLSys, 2024)

IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs. - Patrick Tser Jern Kon; Jiachen Liu; Yiming Qiu; Weijun Fan; Ting He; Lei Lin; Haoran Zhang; Owen Park; George Elengikal; Yuxin Kang; Ang Chen 001; Mosharaf Chowdhury; et al. (NeurIPS, 2024)

MetaFL: Privacy-preserving User Authentication in Virtual Reality with Federated Learning. - Ruizhi Cheng; Yuetong Wu; Ashish Kundu; Hugo Latapie; Myungjin Lee; Songqing Chen; Bo Han 001 (SenSys, 2024)

Boosting Collaborative Vehicular Perception on the Edge with Vehicle-to-Vehicle Communication. - Ruiyang Zhu; Xiao Zhu 001; Anlan Zhang; Xumiao Zhang; Jiachen Sun; Feng Qian 001; Hang Qiu 001; Z. Morley Mao; Myungjin Lee (SenSys, 2024)

Dissecting Carrier Aggregation in 5G Networks: Measurement, QoE Implications and Prediction. - Wei Ye 009; Xinyue Hu; Steven Sleder; Anlan Zhang; Udhaya Kumar Dayalan; Ahmad Hassan; Rostand A. K. Fezeu; Akshay Jajoo; Myungjin Lee; Eman Ramadan; Feng Qian 001; Zhi-Li Zhang (SIGCOMM, 2024)

A 5.8W, 0.00086% THD+N, 118dB PSRR Class-D Audio Amplifier with Passive Output Common-Mode Compensation Technique for Wide Output Power Range. - Inhwan Cho; Moo-Yeol Choi; Jaehyeok Byun; Ji-Hun Lee; Myungjin Lee; Dongsu Kim; Jongwoo Lee (VLSI Technology and Circuits, 2024)

Adaptive Deep Neural Network Inference Optimization with EENet. - Fatih Ilhan; Ka-Ho Chow; Sihao Hu; Tiansheng Huang; Selim F. Tekin; Wenqi Wei 001; Yanzhao Wu 001; Myungjin Lee; Ramana Kompella; Hugo Latapie; Gaowen Liu; Ling Liu 001 (WACV, 2024)

Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study. - Gustav A. Baumgart; Jaemin Shin 005; Ali Payani; Myungjin Lee; Ramana Rao Kompella (CoRR, 2024)

FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification. - Faisal Ahmed; Myungjin Lee; Suresh Subramaniam 001; Motoharu Matsuura; Hiroshi Hasegawa; Shih-Chun Lin 002 (CoRR, 2024)

Andes: Defining and Enhancing Quality-of-Experience in LLM-Based Text Streaming Services. - Jiachen Liu; Zhiyu Wu; Jae-Won Chung; Fan Lai 001; Myungjin Lee; Mosharaf Chowdhury (CoRR, 2024)

DεS: Delayed ε-Shrinking for Faster Once-For-All Training. - Aditya Annavajjala; Alind Khare; Animesh Agrawal; Igor Fedorov; Hugo Latapie; Myungjin Lee; Alexey Tumanov (CoRR, 2024)

Enabling Elastic Model Serving with MultiWorld. - Myungjin Lee; Akshay Jajoo; Ramana Rao Kompella (CoRR, 2024)

ProFL: Performative Robust Optimal Federated Learning. - Xue Zheng; Tian Xie; Xuwei Tan; Aylin Yener; Xueru Zhang; Ali Payani; Myungjin Lee (CoRR, 2024)

Mitigating Group Bias in Federated Learning: Beyond Local Fairness. - Ganghua Wang; Ali Payani; Myungjin Lee; Ramana Rao Kompella (Trans. Mach. Learn. Res., 2024)

Privacy-Preserving Serverless Edge Learning With Decentralized Small-Scale Mobile Data. - Shih-Chun Lin 002; Chia-Hung Lin; Myungjin Lee (IEEE Netw., 2024)

StitchLLM: Serving LLMs, One Block at a Time. - Bodun Hu; Shuozhe Li; Saurabh Agarwal; Myungjin Lee; Akshay Jajoo; Jiamin Li 002; Le Xu; Geon-Woo Kim; Donghyun Kim 002; Hong Xu 001; Amy Zhang 001; Aditya Akella (ACL (1), 2025)

Client Availability in Federated Learning: It Matters! - Dhruv Garg; Debopam Sanyal; Myungjin Lee; Alexey Tumanov; Ada Gavrilovska (EuroMLSys, 2025)

Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters. - Ziyue Luo; Jia Liu 002; Myungjin Lee; Ness B. Shroff (INFOCOM, 2025)

SatPipe: Deterministic TCP Adaptation for Highly Dynamic LEO Satellite Networks. - Ding Zhao; Xinyu Zhang; Myungjin Lee (INFOCOM, 2025)

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration. - Faisal Ahmed; Myungjin Lee; Shao-Yu Lien; Suresh Subramaniam 001; Motoharu Matsuura; Hiroshi Hasegawa; Shih-Chun Lin 002 (NOMS, 2025)

Optimizing Handover Decisions in Multi-Connectivity Enabled Terrestrial-Satellite Integrated Networks: A Deep Reinforcement Learning Approach. - Faisal Ahmed; Myungjin Lee; Suresh Subramaniam 001; Motoharu Matsuura; Hiroshi Hasegawa; Shih-Chun Lin 002 (WCNC, 2025)

Enhancing Network Traffic Analysis in O-RAN Enabled Next-Generation Networks Through Federated Multi-Task Learning. - Faisal Ahmed; Myungjin Lee; Suresh Subramaniam 001; Motoharu Matsuura; Hiroshi Hasegawa; Shih-Chun Lin 002 (WCNC, 2025)

Curie: Toward Rigorous and Automated Scientific Experimentation with AI Agents. - Patrick Tser Jern Kon; Jiachen Liu; Qiuyi Ding; Yiming Qiu; Zhenning Yang; Yibo Huang 005; Jayanth Srinivasa; Myungjin Lee; Mosharaf Chowdhury; Ang Chen 001 (CoRR, 2025)

Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA. - Jie Hao; Yuman Wu; Ali Payani; Myungjin Lee; Mingrui Liu (CoRR, 2025)

Prada: Black-Box LLM Adaptation with Private Data on Resource-Constrained Devices. - Ziyao Wang; Yexiao He; Zheyu Shen; Yu Li; Guoheng Sun; Myungjin Lee; Ang Li (CoRR, 2025)

Tempo: Application-aware LLM Serving with Mixed SLO Requirements. - Wei Zhang; Zhiyu Wu; Yi Mu 005; Banruo Liu; Myungjin Lee; Fan Lai 001 (CoRR, 2025)

EXP-Bench: Can AI Conduct AI Research Experiments? - Patrick Tser Jern Kon; Jiachen Liu; Xinyi Zhu; Qiuyi Ding; Jingjia Peng; Jiarong Xing; Yibo Huang 005; Yiming Qiu; Jayanth Srinivasa; Myungjin Lee; Mosharaf Chowdhury; Matei Zaharia; et al. (CoRR, 2025)

A Collaborative Process Parameter Recommender System for Fleets of Networked Manufacturing Machines - with Application to 3D Printing. - Weishi Wang; Sicong Guo; Chenhuan Jiang; Mohamed Elidrisi; Myungjin Lee; Harsha V. Madhyastha; Raed Al Kontar; Chinedum Emmanuel Okwudire (CoRR, 2025)

Model-Based Diagnosis: Automating End-to-End Diagnosis of Network Failures. - Changrong Wu; Yiyao Yu; Myungjin Lee; Jayanth Srinivasa; Ennan Zhai; George Varghese; Yuval Tamir (CoRR, 2025)

Towards Decentralized and Sustainable Foundation Model Training with the Edge. - Leyang Xue; Meghana Madhyastha; Randal C. Burns; Myungjin Lee; Mahesh K. Marina (CoRR, 2025)