Publication
Conferences and Journals
2024
[KDD 2024] “CAFO: Feature-Centric Explanation on Time Series Classification”
In the 30th SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2024, Barcelona, Spain, Aug 2024. To appear.
Jaeho Kim, Seok-Ju Hahn, Yoontae Hwang, Junghye Lee, and Seulki Lee
[AISTATS 2024] “On-Demand Federated Learning for Arbitrary Target Class Distributions”
2023
[NeurIPS 2023] “Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks”
In 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”
In 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"
Apr 2023. [pdf]
Jaeho Kim, Hyewon Kang, Jaewan Yang, Haneul Jung, Seulki Lee, and Junghye Lee
2022
[PerCom 2022] "Weight Separation for Memory-Efficient and Accurate Deep Multitask Learning"
In the 20th International Conference on Pervasive Computing and Communications, Pisa, Italy, March 2022. [pdf][slides][talk(video)][code]
Seulki Lee and Shahriar Nirjon
2021
[IPSN 2021] "Deep Functional Network (DFN): Functional Interpretation of Deep Neural Networks for Intelligent Sensing Systems"
In the 20th International Conference on Information Processing in Sensor Networks, Nashville, USA, May 2021. [pdf][slides][talk(video)][code]
Seulki Lee and Shahriar Nirjon
2020
[AIChallengeIoT 2020] (Workshop) "Learning in the Wild: When, How, and What to Learn for On-Device Dataset Adaptation"
In 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
Best Paper Award [link]
[MobiSys 2020] "Fast and Scalable In-memory Deep Multitask Learning via Neural Weight Virtualization"
In 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"
In 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
2019
[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
Best Presentation Award [link]
[SenSys 2019] “Neuro.ZERO: A Zero-Energy Neural Network Accelerator for Embedded Sensing and Inference Systems”
In 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"
In 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"
In the 18th International Conference on Information Processing in Sensor Networks, Montreal, Canada, April 2019. [pdf]
Bahsima Islam, Yubo Luo, Seulki Lee, and Shahriar Nirjon
2018
[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
Awards
Best Paper Award
Seulki Lee: AIChallengeIoT 2020 ("Learning in the Wild: When, How, and What to Learn for On-Device Dataset Adaptation") [Link]
Best Paper Runner-Up Award
Seulki Lee: IPSN 2023 ("MicroDeblur: Image Motion Deblurring on Microcontroller-based Vision Systems")
Best Presentation Award
Please find the code and implementation of our works.
Enjoy our research works in videos.