Considerations on deploying high-performance container-based NFV. - DeokGi Hong; Jaemin Shin 005; Shinae Woo; Sue Moon (CAN@CoNEXT, 2017)

Dissecting 802.11ac Performance - Why You Should Turn Off MU-MIMO. - Hyunwoo Choi; Taesik Gong; Jaehun Kim; Jaemin Shin 005; Sung-Ju Lee (MobiSys, 2019)

Accurate Eating Detection on a Daily Wearable Necklace. - Jaemin Shin 005; Seungjoo Lee; Sung-Ju Lee (MobiSys, 2019)

Use MU-MIMO at your own risk - Why we don't get Gb/s Wi-Fi. - Hyunwoo Choi; Taesik Gong; Jaehun Kim; Jaemin Shin 005; Sung-Ju Lee (Ad Hoc Networks, 2019)

MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame. - Jaemin Shin 005; Seungjoo Lee; Taesik Gong; Hyungjun Yoon; Hyunchul Roh; Andrea Bianchi; Sung-Ju Lee (CHI, 2022)

FedBalancer: data and pace control for efficient federated learning on heterogeneous clients. - Jaemin Shin 005; Yuanchun Li; Yunxin Liu 001; Sung-Ju Lee (MobiSys, 2022)

Sample Selection with Deadline Control for Efficient Federated Learning on Heterogeneous Clients. - Jaemin Shin 005; Yuanchun Li; Yunxin Liu 001; Sung-Ju Lee (CoRR, 2022)

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

FedTherapist: Mental Health Monitoring with User-Generated Linguistic Expressions on Smartphones via Federated Learning. - Jaemin Shin 005; Hyungjun Yoon; Seungjoo Lee; Sungjoon Park; Yunxin Liu 001; Jinho D. Choi; Sung-Ju Lee (EMNLP, 2023)

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

(FL)2: Overcoming Few Labels in Federated Semi-Supervised Learning. - Seungjoo Lee; Thanh-Long V. Le; Jaemin Shin 005; Sung-Ju Lee (NeurIPS, 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)

Federated Learning with Incomplete Sensing Modalities. - Adiba Orzikulova; Jae Hyun Kwak; Jaemin Shin 005; Sung-Ju Lee (CoRR, 2024)