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ORCIDSunwoo Lee
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Journal Articles
- 2024
[j27]Sunwoo Lee
, Wonwoo Seo, Sunghyuk Kim, Byunghun Ko, Songjune Lee, Min-Su Kim, Junghyun Kim:
A Concurrent 26/48 GHz Low-Noise Amplifier With an Optimal Dual-Band Noise Matching Method Using GaAs 0.15 μm pHEMT. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1096-1100 (2024)- 2023
- [j26]Sunwoo Lee, Wonsuk Choi, Dong Hoon Lee:
The vibration knows who you are! A further analysis on usable authentication for smartwatch users. Comput. Secur. 125: 103040 (2023) - [j25]Sunwoo Lee, Anit Kumar Sahu, Chaoyang He, Salman Avestimehr:
Partial model averaging in Federated Learning: Performance guarantees and benefits. Neurocomputing 556: 126647 (2023) - [j24]Sunwoo Lee, Dong Hoon Lee:
From Attack to Identification: MEMS Sensor Fingerprinting Using Acoustic Signals. IEEE Internet Things J. 10(6, March 15): 5447-5460 (2023) - [j23]Sunwoo Lee, Chaoyang He, Salman Avestimehr:
Achieving small-batch accuracy with large-batch scalability via Hessian-aware learning rate adjustment. Neural Networks 158: 1-14 (2023) - [j22]Byunghun Ko, Sunwoo Lee, Wonwoo Seo, Taejoo Sim, Sunghyuk Kim, Min-Su Kim, Junghyun Kim:
A 39/48 GHz Switchless Reconfigurable Low Noise Amplifier Using Common Gate and Coupled-Line-Based Diplexer. IEEE Trans. Circuits Syst. II Express Briefs 70(11): 4028-4032 (2023) - [j21]Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr:
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization. Trans. Mach. Learn. Res. 2023 (2023) - [j20]Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr:
Overcoming Resource Constraints in Federated Learning: Large Models Can Be Trained with only Weak Clients. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j19]Sunwoo Lee, Wansik Kim, Sosu Kim, Min-Su Kim, Jung-Hyun Kim:
A W-Band Amplifier With a New Wide-Band Interstage Matching Technique Using Self-Resonance of a Microstrip-Coupled Line. IEEE Access 10: 93894-93900 (2022) - [j18]Jihun Kim, Hyo Cheon Woo, Sunwoo Lee, Byeol Jun Lee, Tae Gyun Park, Cheol Seong Hwang:
Training Method for Accurate Off-Chip Training of One-Selector-One-Resistor Crossbar Array with Nonlinearity and Wire Resistance. Adv. Intell. Syst. 4(8) (2022) - [j17]Jihun Kim, Hyo Cheon Woo, Sunwoo Lee, Byeol Jun Lee, Tae Gyun Park, Cheol Seong Hwang:
Training Method for Accurate Off-Chip Training of One-Selector-One-Resistor Crossbar Array with Nonlinearity and Wire Resistance. Adv. Intell. Syst. 4(8) (2022) - [j16]Sunwoo Lee, Qiao Kang, Reda Al-Bahrani, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Improving scalability of parallel CNN training by adaptively adjusting parameter update frequency. J. Parallel Distributed Comput. 159: 10-23 (2022) - [j15]Jeongwoo Park, Sunwoo Lee, Dongsuk Jeon:
A Neural Network Training Processor With 8-Bit Shared Exponent Bias Floating Point and Multiple-Way Fused Multiply-Add Trees. IEEE J. Solid State Circuits 57(3): 965-977 (2022) - [j14]Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James B. Kowalkowski, Quincey Koziol, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
A case study on parallel HDF5 dataset concatenation for high energy physics data analysis. Parallel Comput. 110: 102877 (2022) - [j13]Michael F. Reynolds, Alejandro J. Cortese, Qingkun Liu, Zhangqi Zheng, Wei Wang, Samantha L. Norris, Sunwoo Lee, Marc Z. Miskin, Alyosha C. Molnar, Itai Cohen, Paul L. McEuen:
Microscopic robots with onboard digital control. Sci. Robotics 7(70) (2022) - [j12]Sunwoo Lee, Dongkyu Lee, Seok-Cheol Kee:
Deep-Learning-Based Parking Area and Collision Risk Area Detection Using AVM in Autonomous Parking Situation. Sensors 22(5): 1986 (2022) - 2021
- [j11]Sunwoo Lee, Donghyeok An:
Applying a deep learning enhanced public warning system to deal with COVID-19. J. Commun. Networks 23(5): 350-359 (2021) - [j10]Sandeep Madireddy, Ji Hwan Park, Sunwoo Lee, Prasanna Balaprakash, Shinjae Yoo, Wei-keng Liao, Cory D. Hauck, M. Paul Laiu, Richard Archibald:
In situ compression artifact removal in scientific data using deep transfer learning and experience replay. Mach. Learn. Sci. Technol. 2(2): 25010 (2021) - [j9]Heeju Hong, Wonkook Shin, Jieun Oh, Sunwoo Lee, Taeyoung Kim, Woosub Lee, Jongsuk Choi, SeungBeum Suh, KangGeon Kim:
Standard for the Quantification of a Sterilization Effect Using an Artificial Intelligence Disinfection Robot. Sensors 21(23): 7776 (2021) - [j8]Gwangho Lee, Sunwoo Lee, Dongsuk Jeon:
Dynamic Block-Wise Local Learning Algorithm for Efficient Neural Network Training. IEEE Trans. Very Large Scale Integr. Syst. 29(9): 1680-1684 (2021) - 2020
- [j7]Dong Ku Kim, Hyeonwoo Lee, Seong-Choon Lee, Sunwoo Lee:
5G commercialization and trials in Korea. Commun. ACM 63(4): 82-85 (2020) - [j6]Qiao Kang, Sunwoo Lee, Kaiyuan Hou, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Improving MPI Collective I/O for High Volume Non-Contiguous Requests With Intra-Node Aggregation. IEEE Trans. Parallel Distributed Syst. 31(11): 2682-2695 (2020) - 2019
- [j5]Sunwoo Lee, Wonsuk Choi, Dong Hoon Lee:
Securing Ultrasonic Sensors Against Signal Injection Attacks Based on a Mathematical Model. IEEE Access 7: 107716-107729 (2019) - 2018
- [j4]Sunwoo Lee, Alejandro J. Cortese, Aasta Parin Gandhi, Elizabeth R. Agger, Paul L. McEuen, Alyosha C. Molnar:
A 250 μm × 57 μm Microscale Opto-electronically Transduced Electrodes (MOTEs) for Neural Recording. IEEE Trans. Biomed. Circuits Syst. 12(6): 1256-1266 (2018) - 2016
- [j3]Sunwoo Lee, Ill-Woo Park:
Mechanical and electrical design of a biped humanoid which has multiple motors on each lower body joint. Intell. Serv. Robotics 9(1): 49-61 (2016) - 2015
- [j2]Jinmoo Heo, Sanghee Chun, Sunwoo Lee, Kyung Hee Lee, Junhyoung Kim:
Internet Use and Well-Being in Older Adults. Cyberpsychology Behav. Soc. Netw. 18(5): 268-272 (2015) - [j1]Changhyuk Lee, Wei Chao, Sunwoo Lee, James C. Hone, Alyosha C. Molnar, Sang Hoon Hong:
A Low-Power Edge Detection Image Sensor Based on Parallel Digital Pulse Computation. IEEE Trans. Circuits Syst. II Express Briefs 62-II(11): 1043-1047 (2015)
Conference and Workshop Papers
- 2024
- [c36]Yonghyeon Jo, Sunwoo Lee, Junghyuk Yeom, Seungyul Han:
FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning. AAAI 2024: 12985-12994 - [c35]Sunghyeon Woo, Sunwoo Lee, Dongsuk Jeon:
ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models. ICLR 2024 - [c34]Devesh Khilwani, Sunwoo Lee, Christine Ou, Stuart Daudlin, Anthony Rizzo, Songli Wang, Michael Cullen, Keren Bergman, Alyosha C. Molnar:
3D-Integrated, Low Power, High Bandwidth Density Opto-Electronic Transceiver. ISCAS 2024: 1-5 - [c33]Sunwoo Lee:
Layer-Wise Adaptive Gradient Norm Penalizing Method for Efficient and Accurate Deep Learning. KDD 2024: 1518-1529 - [c32]Sungjin Park, Kwanghyun Shin, Dongkwon Lee, Minyoung Kang, Sunwoo Lee, Youngmin Park, Mingoo Seok, Dongsuk Jeon:
A 5.6µW 10-Keyword End-to-End Keyword Spotting System Using Passive-Averaging SAR ADC and Sign-Exponent-Only Layer Fusion with 92.7% Accuracy. VLSI Technology and Circuits 2024: 1-2 - 2023
- [c31]Sunwoo Lee, Tuo Zhang, Amir Salman Avestimehr:
Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning. AAAI 2023: 8491-8499 - [c30]Deuk Sin Kwon, Sunwoo Lee, Ki Hyun Kim, Seojin Lee, Taeyoon Kim, Eric Davis:
What, When, and How to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialogue. ACL (industry) 2023: 707-719 - [c29]Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr:
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. CVPR Workshops 2023: 5064-5073 - [c28]Sunwoo Lee, Jeongwoo Park, Dongsuk Jeon:
A 4.27TFLOPS/W FP4/FP8 Hybrid-Precision Neural Network Training Processor Using Shift-Add MAC and Reconfigurable PE Array. ESSCIRC 2023: 221-224 - [c27]Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr:
FedAudio: A Federated Learning Benchmark for Audio Tasks. ICASSP 2023: 1-5 - [c26]Shahaboddin Ghajari, Sunwoo Lee, Samantha L. Norris, Paul L. McEuen, Alyosha C. Molnar:
Redox-Enabled Microscale Opto-Electronically Transduced Electrodes (ReMOTEs). ISCAS 2023: 1-5 - [c25]Sungjin Park, Sunwoo Lee, Jeongwoo Park, Hyeong-Seok Choi, Dongsuk Jeon:
A0.81 mm2 740μW Real-Time Speech Enhancement Processor Using Multiplier-Less PE Arrays for Hearing Aids in 28nm CMOS. ISSCC 2023: 340-341 - [c24]Stuart Daudlin, Sunwoo Lee, Devesh Kilwani, Christine Ou, Anthony Rizzo, Songli Wang, Michael Cullen, Alyosha C. Molnar, Keren Bergman:
Ultra-dense 3D integrated 5.3 Tb/s/mm2 80 micro-disk modulator transmitter. OFC 2023: 1-3 - 2022
- [c23]Jeongwoo Park, Sunwoo Lee, Dongsuk Jeon:
A low power neural network training processor with 8-bit floating point with a shared exponent bias and fused multiply add trees. AICAS 2022: 499 - [c22]Kewei Wang, Sunwoo Lee, Jan Balewski, Alex Sim, Peter Nugent, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu, Wei-Keng Liao:
Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications. CCGRID 2022: 404-413 - [c21]Sunwoo Lee, Jeongwoo Park, Dongsuk Jeon:
Toward Efficient Low-Precision Training: Data Format Optimization and Hysteresis Quantization. ICLR 2022 - [c20]Hyunsu Cho, Sunwoo Lee, Wonsuk Choi, Dong Hoon Lee:
Recovering Yaw Rate from Signal Injection Attack to Protect RV's Direction. WISA 2022: 171-184 - 2021
- [c19]Kaiyuan Hou, Qiao Kang, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Supporting Data Compression in PnetCDF. IEEE BigData 2021: 86-97 - [c18]Sunwoo Lee, Wonsuk Choi, Dong Hoon Lee:
Usable User Authentication on a Smartwatch using Vibration. CCS 2021: 304-319 - [c17]Alyosha Christopher Molnar, Sunwoo Lee, Alejandro J. Cortese, Paul L. McEuen, Sanaz Sadeghi, Shahaboddin Ghajari:
Nanoliter-Scale Autonomous Electronics: Advances, Challenges, and Opportunities. CICC 2021: 1-6 - [c16]Sunwoo Lee, Qiao Kang, Kewei Wang, Jan Balewski, Alex Sim, Ankit Agrawal, Alok N. Choudhary, Peter Nugent, Kesheng Wu, Wei-keng Liao:
Asynchronous I/O Strategy for Large-Scale Deep Learning Applications. HiPC 2021: 322-331 - [c15]Reda Al-Bahrani, Dipendra Jha, Qiao Kang, Sunwoo Lee, Zijiang Yang, Wei-Keng Liao, Ankit Agrawal, Alok N. Choudhary:
SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network. ICPRAM 2021: 349-356 - [c14]Jeongwoo Park, Sunwoo Lee, Dongsuk Jeon:
A 40nm 4.81TFLOPS/W 8b Floating-Point Training Processor for Non-Sparse Neural Networks Using Shared Exponent Bias and 24-Way Fused Multiply-Add Tree. ISSCC 2021: 148-150 - [c13]Edward C. Szoka, Jesse C. Werth, Sunwoo Lee, Jae-Ik Lee, Alejandro J. Cortese, Thomas A. Cleland, Shelley I. Fried, Alyosha C. Molnar:
Neural Probe Utilizing Programmable Micro-coil Magnetic Stimulation. NER 2021: 651-654 - [c12]Stuart Daudlin, Anthony Rizzo, Nathan C. Abrams, Sunwoo Lee, Devesh Khilwani, Vaishnavi Murthy, James Robinson, Terence Collier, Alyosha C. Molnar, Keren Bergman:
3D-Integrated Multichip Module Transceiver for Terabit-Scale DWDM Interconnects. OFC 2021: 1-3 - 2020
- [c11]Sunwoo Lee, Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Communication-Efficient Local Stochastic Gradient Descent for Scalable Deep Learning. IEEE BigData 2020: 718-727 - [c10]Qiao Kang, Alex Sim, Peter Nugent, Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu:
Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow. CCGRID 2020: 619-628 - [c9]Qiao Kang, Robert B. Ross, Robert Latham, Sunwoo Lee, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Improving all-to-many personalized communication in two-phase I/O. SC 2020: 10 - 2019
- [c8]Sunwoo Lee, Qiao Kang, Sandeep Madireddy, Prasanna Balaprakash, Ankit Agrawal, Alok N. Choudhary, Richard Archibald, Wei-keng Liao:
Improving Scalability of Parallel CNN Training by Adjusting Mini-Batch Size at Run-Time. IEEE BigData 2019: 830-839 - [c7]Saidrasul Usmankhujaev, Sunwoo Lee, Jangwoo Kwon:
Korean License Plate Recognition System Using Combined Neural Networks. DCAI 2019: 10-17 - 2018
- [c6]Sunwoo Lee, Alejandro J. Cortese, Paige Trexel, Elizabeth R. Agger, Paul L. McEuen, Alyosha C. Molnar:
A 330μm×90μm opto-electronically integrated wireless system-on-chip for recording of neural activities. ISSCC 2018: 292-294 - 2017
- [c5]Sunwoo Lee, Dipendra Jha, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Parallel Deep Convolutional Neural Network Training by Exploiting the Overlapping of Computation and Communication. HiPC 2017: 183-192 - 2016
- [c4]Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Nikos Hardavellas, Alok N. Choudhary:
Evaluation of K-means data clustering algorithm on Intel Xeon Phi. IEEE BigData 2016: 2251-2260 - [c3]Diana Palsetia, William Hendrix, Sunwoo Lee, Ankit Agrawal, Wei-keng Liao, Alok N. Choudhary:
Parallel Community Detection Algorithm Using a Data Partitioning Strategy with Pairwise Subdomain Duplication. ISC 2016: 98-115 - 2015
- [c2]Jin Young Choi, Sunwoo Lee, Yoonseon Oh, Songhwai Oh:
Pedestrian-following service robot applications using chance-constrained target tracking. URAI 2015: 504-506 - 2009
- [c1]Sunwoo Lee, Byung Kwan Jung, Minsoo Ryu, Seungwon Lee:
Extending Component-Based Approaches for Multithreaded Design of Multiprocessor Embedded Software. ISORC 2009: 267-274
Informal and Other Publications
- 2024
- [i13]Sunwoo Lee, Tuo Zhang, Saurav Prakash, Yue Niu, Salman Avestimehr:
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training. CoRR abs/2406.15125 (2024) - 2023
- [i12]Zhenheng Tang, Xiaowen Chu, Ryan Yide Ran, Sunwoo Lee, Shaohuai Shi, Yonggang Zhang, Yuxin Wang, Alex Qiaozhong Liang, Salman Avestimehr, Chaoyang He:
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training. CoRR abs/2303.01778 (2023) - [i11]Tuo Zhang, Lei Gao, Sunwoo Lee, Mi Zhang, Salman Avestimehr:
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training. CoRR abs/2304.06947 (2023) - [i10]Deuk Sin Kwon, Sunwoo Lee, Ki Hyun Kim, Seojin Lee, Taeyoon Kim, Eric Davis:
WHAT, WHEN, and HOW to Ground: Designing User Persona-Aware Conversational Agents for Engaging Dialogue. CoRR abs/2306.03361 (2023) - [i9]Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr:
mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization. CoRR abs/2307.13744 (2023) - [i8]Yonghyeon Jo, Sunwoo Lee, Junghyuk Yum, Seungyul Han:
FoX: Formation-aware exploration in multi-agent reinforcement learning. CoRR abs/2308.11272 (2023) - 2022
- [i7]Sunwoo Lee, Anit Kumar Sahu, Chaoyang He, Salman Avestimehr:
Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits. CoRR abs/2201.03789 (2022) - [i6]Sunwoo Lee, Kaiyuan Hou, Kewei Wang, Saba Sehrish, Marc F. Paterno, James Kowalkowski, Quincey Koziol, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
A Case Study on Parallel HDF5 Dataset Concatenation for High Energy Physics Data Analysis. CoRR abs/2205.01168 (2022) - [i5]Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr:
Federated Learning of Large Models at the Edge via Principal Sub-Model Training. CoRR abs/2208.13141 (2022) - [i4]Tuo Zhang, Tiantian Feng, Samiul Alam, Sunwoo Lee, Mi Zhang, Shrikanth S. Narayanan, Salman Avestimehr:
FedAudio: A Federated Learning Benchmark for Audio Tasks. CoRR abs/2210.15707 (2022) - 2021
- [i3]Chaoyang He, Zhengyu Yang, Erum Mushtaq, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr:
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision. CoRR abs/2110.02470 (2021) - [i2]Sunwoo Lee, Tuo Zhang, Chaoyang He, Salman Avestimehr:
Layer-wise Adaptive Model Aggregation for Scalable Federated Learning. CoRR abs/2110.10302 (2021) - 2019
- [i1]Qiao Kang, Sunwoo Lee, Kaiyuan Hou, Robert B. Ross, Ankit Agrawal, Alok N. Choudhary, Wei-keng Liao:
Improving MPI Collective I/O Performance With Intra-node Request Aggregation. CoRR abs/1907.12656 (2019)
Coauthor Index
Amir Salman Avestimehr
aka: Salman Avestimehr
aka: Salman Avestimehr
Wei-keng Liao
aka: Wei-Keng Liao
aka: Wei-Keng Liao
Alyosha C. Molnar
aka: Alyosha Christopher Molnar
aka: Alyosha Christopher Molnar
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