Seulki Lee

26 papers A* 5A 4B 1Misc 2Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Designing Extremely Memory-Efficient CNNs for On-device Vision and Audio Tasks.
Int. J. Comput. Vis.
Yoel Park, Jaewook Lee, Seulki Lee
2025 A* conf
Bayesian Code Diffusion for Efficient Automatic Deep Learning Program Optimization.
OSDI
Isu Jeong, Seulki Lee
2025 J jnl
On-device Sora: Enabling Diffusion-Based Text-to-Video Generation for Mobile Devices.
CoRR
Bosung Kim, Kyuhwan Lee, Isu Jeong, Jungmin Cheon, Yeojin Lee, Seulki Lee
2025 A* conf
SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization.
AAAI
Kwangryeol Park, Seulki Lee
2025 A conf
Smart ECU: Scalable On-Vehicle Deployment of Drivetrain Fault Classification Systems for Commercial Electric Vehicles.
CIKM
Jaeho Kim, Kwangryeol Park, Kyu Hwan Lee, Jeongmin Oh, Dongjin Park, Hyunseok Oh, Youngrock Chung, Kyung-Woo Lee, Dae-Un Sung, Seulki Lee
2024 A* conf
CAFO: Feature-Centric Explanation on Time Series Classification.
KDD
Jaeho Kim, Seok-Ju Hahn, Yoontae Hwang, Junghye Lee, Seulki Lee
2024 J jnl
CAFO: Feature-Centric Explanation on Time Series Classification.
CoRR
Jaeho Kim, Seok-Ju Hahn, Yoontae Hwang, Junghye Lee, Seulki Lee
2024 — conf
Designing Extremely Memory-Efficient CNNs for On-Device Vision Tasks.
ACCV (8)
Jaewook Lee, Yoel Park, Seulki Lee
2024 J jnl
Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks.
CoRR
Jaewook Lee, Yoel Park, Seulki Lee
2024 A conf
On-Demand Federated Learning for Arbitrary Target Class Distributions.
AISTATS
Isu Jeong, Seulki Lee
2024 J jnl
SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization.
CoRR
Kwangryeol Park, Seulki Lee
2023 — conf
MicroDeblur: Image Motion Deblurring on Microcontroller-based Vision Systems.
IPSN
Seulki Lee
2023 J jnl
Multitask Deep Learning for Human Activity, Speed, and Body Weight Estimation Using Commercial Smart Insoles.
IEEE Internet Things J.
Jaeho Kim, Hyewon Kang, Jaewan Yang, Haneul Jung, Seulki Lee, Junghye Lee
2023 Misc conf
On-NAS: On-Device Neural Architecture Search on Memory-Constrained Intelligent Embedded Systems.
SenSys
Bosung Kim, Seulki Lee
2023 A* conf
Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks.
NeurIPS
Changhyeon Lee, Seulki Lee
2022 A* conf
Weight Separation for Memory-Efficient and Accurate Deep Multitask Learning.
PerCom
Seulki Lee, Shahriar Nirjon
2021 — conf
Deep Functional Network (DFN): Functional Interpretation of Deep Neural Networks for Intelligent Sensing Systems.
IPSN
Seulki Lee, Shahriar Nirjon
2021 — —
Enabling Deep Intelligence on Embedded Systems.
Seulki Lee
2020 A conf
Fast and scalable in-memory deep multitask learning via neural weight virtualization.
MobiSys
Seulki Lee, Shahriar Nirjon
2020 — conf
Learning in the Wild: When, How, and What to Learn for On-Device Dataset Adaptation.
AIChallengeIoT@SenSys
Seulki Lee, Shahriar Nirjon
2020 A conf
SubFlow: A Dynamic Induced-Subgraph Strategy Toward Real-Time DNN Inference and Training.
RTAS
Seulki Lee, Shahriar Nirjon
2019 J jnl
Intermittent Learning: On-Device Machine Learning on Intermittently Powered System.
CoRR
Seulki Lee, Bashima Islam, Yubo Luo, Shahriar Nirjon
2019 J jnl
Intermittent Learning: On-Device Machine Learning on Intermittently Powered System.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Seulki Lee, Bashima Islam, Yubo Luo, Shahriar Nirjon
2019 Misc conf
Neuro.ZERO: a zero-energy neural network accelerator for embedded sensing and inference systems.
SenSys
Seulki Lee, Shahriar Nirjon
2019 — conf
On-device training from sensor data on batteryless platforms: poster abstract.
IPSN
Bashima Islam, Yubo Luo, Seulki Lee, Shahriar Nirjon
2018 B conf
Knowledge Transfer Between Embedded Controllers.
DCOSS
Seulki Lee, Shahriar Nirjon