Optimal Blade System Design of a New Concept VTOL Vehicle Using the Departmental Computing Grid System. - Jin Woo Park; Si Hyoung Park; In Seong Hwang; Ji Joong Moon; Youngha Yoon; Seung Jo Kim (SC, 2004)

TAOS-CI: Lightweight & Modular Continuous Integration System for Edge Computing. - Geunsik Lim; MyungJoo Ham; Ji Joong Moon; Wook Song; Sangjung Woo; Sewon Oh (ICCE, 2019)

NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications. - MyungJoo Ham; Ji Joong Moon; Geunsik Lim; Wook Song; Jaeyun Jung; Hyoungjoo Ahn; Sangjung Woo; Youngchul Cho; JinHyuck Park; Sewon Oh; Hong-Seok Kim (CoRR, 2019)

NNStreamer: Efficient and Agile Development of On-Device AI Systems. - MyungJoo Ham; Ji Joong Moon; Geunsik Lim; Jaeyun Jung; Hyoungjoo Ahn; Wook Song; Sangjung Woo; Parichay Kapoor; Dongju Chae; Gichan Jang; Yongjoo Ahn; Jihoon Lee (ICSE (SEIP), 2021)

LightSys: Lightweight and Efficient CI System for Improving Integration Speed of Software. - Geunsik Lim; MyungJoo Ham; Ji Joong Moon; Wook Song (ICSE (SEIP), 2021)

NNTrainer: Light-Weight On-Device Training Framework. - Ji Joong Moon; Parichay Kapoor; Ji-Hoon Lee; MyungJoo Ham; Hyun Suk Lee (CoRR, 2022)

Deep Neural Network Models Trained with a Fixed Random Classifier Transfer Better Across Domains. - Hafiz Tiomoko Ali; Umberto Michieli; Ji Joong Moon; Daehyun Kim; Mete Ozay (ICASSP, 2024)

FFT-Based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images. - Elena Camuffo; Umberto Michieli; Jijoong Moon; Daehyun Kim; Mete Ozay (ICASSP, 2024)

Object-Conditioned Bag of Instances for Few-Shot Personalized Instance Recognition. - Umberto Michieli; Jijoong Moon; Daehyun Kim; Mete Ozay (ICASSP, 2024)

A New Frontier of AI: On-Device AI Training and Personalization. - Jijoong Moon; Hyeonseok Lee; Jiho Chu; Donghak Park; Seungbaek Hong; Hyungjun Seo; Donghyeon Jeong; Sungsik Kong; MyungJoo Ham (ICSE-SEIP, 2024)

Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection. - Francesco Barbato; Umberto Michieli; Jijoong Moon; Pietro Zanuttigh; Mete Ozay (IROS, 2024)

Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics. - Elena Camuffo; Umberto Michieli; Simone Milani; Jijoong Moon; Mete Ozay (IROS, 2024)

Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. - Kirill Paramonov; Jia-Xing Zhong; Umberto Michieli; Jijoong Moon; Mete Ozay (IROS, 2024)

Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning. - Kirill Paramonov; Mete Ozay; Eunju Yang; Jijoong Moon; Umberto Michieli (ICASSP, 2025)

Continual Error Correction on Low-Resource Devices. - Kirill Paramonov; Mete Ozay; Aristeidis Mystakidis; Nikolaos Tsalikidis; Dimitrios Sotos; Anastasios Drosou; Dimitrios Tzovaras; Hyunjun Kim; Kiseok Chang; Sangdok Mo; Namwoong Kim; Woojong Yoo; et al. (MMSys, 2025)

Efficient Compositional Multi-tasking for On-device Large Language Models. - Ondrej Bohdal; Mete Ozay; Jijoong Moon; Kyeng-Hun Lee; Hyeonmok Ko; Umberto Michieli (CoRR, 2025)

HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging. - Taha Ceritli; Ondrej Bohdal; Mete Ozay; Jijoong Moon; Kyeng-Hun Lee; Hyeonmok Ko; Umberto Michieli (CoRR, 2025)