[arXiv] “On-device Sora: Enabling Diffusion-Based Text-to-Video Generation for Mobile Devices”
“Designing Extremely Memory-Efficient CNNs for On-device Vision and Audio Tasks”
Yoel Park, Jae Wook Lee, and Seulki Lee [pdf]
(Submitted) [AISTATS 2026] “Anonymized”
Twenty-Ninth Annual Conference on Artificial Intelligence and Statistics, Tangier, Morocco, May 2026.
Changhyeon Lee and Seulki Lee
(Submitted) [ICLR 2026] “Anonymized”
The Fourteenth International Conference on Learning Representations, Rio de Janeiro, Brazil, April 2026.
Jeongmin Cheon and Seulki Lee
(Submitted) [ICLR 2026] “Anonymized”
The Fourteenth International Conference on Learning Representations, Rio de Janeiro, Brazil, April 2026.
Yunseok Lee and Seulki Lee
(Submitted) [ICLR 2026] “Anonymized”
The Fourteenth International Conference on Learning Representations, Rio de Janeiro, Brazil, April 2026.
Heejung Shin, Jiwoo Kim, Seulki Lee, and Hyondong Oh
(Submitted) [PerCom 2026] “Anonymized”
The 20th International Conference on Pervasive Computing and Communications, Pisa, Italy, Mar 2026.
Insung Jung and Seulki Lee
(Submitted) [WACV 2026] “Anonymized”
The IEEE/CVF Winter Conference on Applications of Computer Vision 2026, Tucson, Arizona, Mar 2026.
Bosung Kim*, Kyuhwan Lee*, Isu Jeong, Jungmin Cheon, Yeojin Lee, and Seulki Lee (*: Equal contribution)
[NeurIPS 2025] “AliO: Output Alignment Matters in Long-Term Time Series Forecasting”
The Thirty-Ninth Annual Conference on Neural Information Processing Systems, San Diego, USA, Dec 2025.
Kwangryeol Park, Jaeho Kim, and Seulki Lee
[IJCV] “Designing Extremely Memory-Efficient CNNs for On-device Vision and Auido Tasks”
International Journal of Computer Vision (IJCV), Springer Nature, 2025. To appear
Yoel Park, Jae Wook Lee, and Seulki Lee
[CIKM 2025] “Smart ECU: Scalable On-Vehicle Deployment of Drivetrain Fault Classification Systems for Commercial Electric Vehicles”
The 34th ACM International Conference on Information and Knowledge Management (Applied Research Track), Seoul, Korea, Nov 2025. To appear
Jaeho Kim*, Kwangryeol Park*, Kyu Hwan Lee*, Jeongmin Oh, Dongjin Park, Hyunseok Oh, Youngrock Chung, Kyung-Woo Lee, Dae-Un Sung, and Seulki Lee (*: Equal contribution)
[ICML 2025] “TransPL: VQ-Code Transition Matrices for Pseudo-Labeling of Time Series Unsupervised Domain Adaptation”
[ICML 2025] “Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards”
The Forty-Second International Conference on Machine Learning, Vancouver, Canada, July 2025. [pdf][video][poster]
Jaeho Kim*, Yunseok Lee*, and Seulki Lee (*: Equal contribution) [Oral: 12/361=3.32%]
ICML 2025 Outstanding Position Paper Award (0.55%=2/361[position papers], 0.064%=(2+6)/(361+12,107)[entire papers]) [award][link]
[OSDI 2025] “Bayesian Code Diffusion for Efficient Automatic Deep Learning Program Optimization”
[ICLR 2025] “PPT: Patch Order Do Matters In Time Series Pretext Task”
[AAAI 2025] “SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization”
[ACCV 2024] “Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks”
[IJHCS 2024] “Unpacking Instagram use: The impact of upward social comparisons on usage patterns and affective experiences in the wild”
International Journal of Human-Computer Studies, June 2024. [pdf]
Jiwan Kim, Doyoung Lee, Mingyu Han, Jaeho Kim, Vassilis Kostakos, Ian Oakley
[KDD 2024] “CAFO: Feature-Centric Explanation on Time Series Classification”
[AISTATS 2024] “On-Demand Federated Learning for Arbitrary Target Class Distributions”
[NeurIPS 2023] “Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks”
The 37th Annual Conference on Neural Information Processing Systems, New Orleans, LA, USA, Dec 2023. [pdf][slides][code][talk(video)][poster]
Changhyeon Lee and Seulki Lee
[SenSys 2023] “On-NAS: On-Device Neural Architecture Search on Memory-Constrained Intelligent Embedded Systems”
The 21th ACM Conference on Embedded Networked Sensor Systems, Istanbul, Turkiye, Nov 2023. [pdf][slides][code][talk(video)]
Bosung Kim and Seulki Lee
[IPSN 2023] "MicroDeblur: Image Motion Deblurring on Microcontroller-based Vision Systems"
[IEEE Internet of Things 2023] "Multitask Deep Learning for Human Activity, Speed, and Body Weight Estimation using Commercial Smart Insoles"
Proceedings of IEEE Internet of Things Journal, Apr 2023. [pdf]
Jaeho Kim, Hyewon Kang, Jaewan Yang, Haneul Jung, Seulki Lee, and Junghye Lee
[PerCom 2022] "Weight Separation for Memory-Efficient and Accurate Deep Multitask Learning"
The 20th International Conference on Pervasive Computing and Communications, Pisa, Italy, March 2022. [pdf][slides][talk(video)][code]
Seulki Lee and Shahriar Nirjon
[IPSN 2021] "Deep Functional Network (DFN): Functional Interpretation of Deep Neural Networks for Intelligent Sensing Systems"
The 20th International Conference on Information Processing in Sensor Networks, Nashville, USA, May 2021. [pdf][slides][talk(video)][code]
Seulki Lee and Shahriar Nirjon
[AIChallengeIoT 2020] (Workshop) "Learning in the Wild: When, How, and What to Learn for On-Device Dataset Adaptation"
The 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, Virtual Event, Japan, November, 2020. [pdf][slides][talk(video)]
Seulki Lee and Shahriar Nirjon
AIChallengeIoT 2020 Best Paper Award [award]
[MobiSys 2020] "Fast and Scalable In-memory Deep Multitask Learning via Neural Weight Virtualization"
The 18th ACM International Conference on Mobile Systems, Applications, and Services, Toronto, Canada, June 2020. [pdf][slides][talk(video)][code]
Seulki Lee and Shahriar Nirjon
[RTAS 2020] "SubFlow: A Dynamic Induced-Subgraph Strategy Toward Real-Time DNN Inference and Training"
The 26th IEEE Real-Time and Embedded Technology and Applications Symposium, Sydney, Australia, April 2020. [pdf][slides][talk(video)][code]
Seulki Lee and Shahriar Nirjon
[IMWUT 2019/UbiComp 2020] “Intermittent Learning: On-Device Machine Learning on Intermittently Powered System”
Proceedings of ACM on Interactive, Mobile, Wearable, and Ubiquitous Computing, Cancun, Mexico, September 2020. [pdf][slides][talk(video)][code]
Seulki Lee, Bashima Islam, Yubo Luo, and Shahriar Nirjon
UbiComp 2020 Best Paper Presentation Award [award]
[SenSys 2019] “Neuro.ZERO: A Zero-Energy Neural Network Accelerator for Embedded Sensing and Inference Systems”
The 17th ACM Conference on Embedded Networked Sensor Systems, New York, USA, November 2019. [pdf][slides][talk(video)][code]
Seulki Lee and Shahriar Nirjon
[RTAS 2019] (WIP) "Time-Aware Deep Intelligence on Batteryless Systems"
The 25th IEEE Real-Time and Embedded Technol-ogy and Applications Symposium, Montreal, Canada, April 2019. [pdf]
Bashima Islam, Seulki Lee, and Shahriar Nirjon
[IPSN 2019] (Poster) "On-device Training From Sensor Data on Batteryless Platforms"
The 18th International Conference on Information Processing in Sensor Networks, Montreal, Canada, April 2019. [pdf]
Bahsima Islam, Yubo Luo, Seulki Lee, and Shahriar Nirjon
[DCOSS 2018] "Knowledge Transfer Between Embedded Controllers"
In the 14th International Conference on Distributed Computing in Sensor Systems, New York, USA, June 2018. [pdf][slides][demo(video)]
Seulki Lee and Shahriar Nirjon
Outstanding Position Paper Award
Best Paper Award
AIChallengeIoT 2020: Seulki Lee ("Learning in the Wild: When, How, and What to Learn for On-Device Dataset Adaptation") [award]
Best Application Paper Award
Best Paper Runner-Up Award
IPSN 2023: Seulki Lee ("MicroDeblur: Image Motion Deblurring on Microcontroller-based Vision Systems")
Best Paper Presentation Award
UbiComp 2020: Seulki Lee (“Intermittent Learning: On-Device Machine Learning on Intermittently Powered System”) [award]
Best Poster Award
2024 UNIST AI Technology Open Workshop: Jaeho Kim ("CAFO: Feature-Centric Explanation on Time Series Classification")
Distinguished TCP Member Award
SenSys 2025: Seulki Lee [award]
2024 Hyundai Mobis Edge AI Research Contest (2024 현대모비스 Edge AI 산학협력 연구공모)
Bosung Kim: 2nd Place Award
Jaeho Kim: 4th Place Award [link]
GCP (Google Cloud Platform) Credit Award: Gemma 2 Academic Program 2024
K-Data Science Conference 2024 Creative Researcher Award
Jaeho Kim: 3rd Place Award
Please find the code and implementation of our works.
Enjoy our research works in videos.