Knowledge Transfer Between Embedded Controllers. - Seulki Lee 002; Shahriar Nirjon (DCOSS, 2018)

On-device training from sensor data on batteryless platforms: poster abstract. - Bashima Islam; Yubo Luo; Seulki Lee 002; Shahriar Nirjon (IPSN, 2019)

Neuro.ZERO: a zero-energy neural network accelerator for embedded sensing and inference systems. - Seulki Lee 002; Shahriar Nirjon (SenSys, 2019)

Intermittent Learning: On-Device Machine Learning on Intermittently Powered System. - Seulki Lee 002; Bashima Islam; Yubo Luo; Shahriar Nirjon (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Fast and scalable in-memory deep multitask learning via neural weight virtualization. - Seulki Lee 002; Shahriar Nirjon (MobiSys, 2020)

SubFlow: A Dynamic Induced-Subgraph Strategy Toward Real-Time DNN Inference and Training. - Seulki Lee 002; Shahriar Nirjon (RTAS, 2020)

Learning in the Wild: When, How, and What to Learn for On-Device Dataset Adaptation. - Seulki Lee 002; Shahriar Nirjon (AIChallengeIoT@SenSys, 2020)

Deep Functional Network (DFN): Functional Interpretation of Deep Neural Networks for Intelligent Sensing Systems. - Seulki Lee 002; Shahriar Nirjon (IPSN, 2021)

Enabling Deep Intelligence on Embedded Systems. - Seulki Lee 002 (2021)

Weight Separation for Memory-Efficient and Accurate Deep Multitask Learning. - Seulki Lee 002; Shahriar Nirjon (PerCom, 2022)

MicroDeblur: Image Motion Deblurring on Microcontroller-based Vision Systems. - Seulki Lee 002 (IPSN, 2023)

Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks. - Changhyeon Lee; Seulki Lee 002 (NeurIPS, 2023)

On-NAS: On-Device Neural Architecture Search on Memory-Constrained Intelligent Embedded Systems. - Bosung Kim 001; Seulki Lee 002 (SenSys, 2023)

Multitask Deep Learning for Human Activity, Speed, and Body Weight Estimation Using Commercial Smart Insoles. - Jaeho Kim; Hyewon Kang; Jaewan Yang; Haneul Jung; Seulki Lee 002; Junghye Lee (IEEE Internet Things J., 2023)

Designing Extremely Memory-Efficient CNNs for On-Device Vision Tasks. - Jaewook Lee; Yoel Park; Seulki Lee 002 (ACCV (8), 2024)

On-Demand Federated Learning for Arbitrary Target Class Distributions. - Isu Jeong; Seulki Lee 002 (AISTATS, 2024)

CAFO: Feature-Centric Explanation on Time Series Classification. - Jaeho Kim; Seok-Ju Hahn; Yoontae Hwang; Junghye Lee; Seulki Lee 002 (KDD, 2024)

SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization. - Kwangryeol Park; Seulki Lee 002 (AAAI, 2025)

Bayesian Code Diffusion for Efficient Automatic Deep Learning Program Optimization. - Isu Jeong; Seulki Lee 002 (OSDI, 2025)

On-device Sora: Enabling Diffusion-Based Text-to-Video Generation for Mobile Devices. - Bosung Kim; Kyuhwan Lee; Isu Jeong; Jungmin Cheon; Yeojin Lee; Seulki Lee 002 (CoRR, 2025)