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ORCIDHyeonseok Lee
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2020 – today
- 2024
[c5]Jijoong Moon
, Hyeonseok Lee, Jiho Chu, Donghak Park, Seungbaek Hong, Hyungjun Seo, Donghyeon Jeong, Sungsik Kong, MyungJoo Ham:
A New Frontier of AI: On-Device AI Training and Personalization. ICSE-SEIP 2024: 323-333- [c4]Dong-Seob Shin, Jong-Ho Park, Changmin Song, Seong-Yun Kim, Hyeonseok Lee, Jinyeong Lee, Young-Chan Jang:
Clock Recovery Circuit for 3-Gsymbol/s/lane MIPI C-PHY Receiver. ISOCC 2024: 45-46 - 2023
- [j9]Hyeonseok Lee, Hyeong-Geun Park, Van-Du Le, Van-Phu Nguyen, Jeong-Moon Song, Bok-Hyung Lee, Jung-Dong Park:
X-band MMICs for a Low-Cost Radar Transmit/Receive Module in 250 nm GaN HEMT Technology. Sensors 23(10): 4840 (2023) - [j8]William B. Langdon, Vesna Nowack, Justyna Petke, Markus Wagner, Hyeonseok Lee, Erik M. Fredericks, Gabin An, Aymeric Blot:
Genetic Improvement @ ICSE 2023. ACM SIGSOFT Softw. Eng. Notes 48(4): 51-59 (2023) - [c3]Jung-Hun Park, Hyeonseok Lee, Hoyeon Cho, Sanghee Lee, Kwang-Hoon Lee, Han-Gon Ko, Deog-Kyoon Jeong:
A 32Gb/s/pin 0.51 pJ/b Single-Ended Resistor-less Impedance-Matched Transmitter with a T-Coil-Based Edge-Boosting Equalizer in 40nm CMOS. ISSCC 2023: 410-411 - 2022
- [j7]Hyeonseok Lee, Van-Son Trinh, Jung-Dong Park:
A 90 GHz Broadband Balanced 8-Way Power Amplifier for High Precision FMCW Radar Sensors in 65-nm CMOS. Sensors 22(9): 3114 (2022) - [c2]Jung-Hun Park, Kwang-Hoon Lee, Yongjae Lee, Jung-Woo Sull, Yoonho Song, Sanghee Lee, Hyeonseok Lee, Hoyeon Cho, Jonghyun Oh, Han-Gon Ko, Deog-Kyoon Jeong:
A 68.7-fJ/b/mm 375-GB/s/mm Single-Ended PAM-4 Interface with Per-Pin Training Sequence for the Next-Generation HBM Controller. VLSI Technology and Circuits 2022: 150-151 - 2021
- [j6]Hyeonseok Lee, Sungchan Kim:
SSPNet: Learning spatiotemporal saliency prediction networks for visual tracking. Inf. Sci. 575: 399-416 (2021) - [j5]Hyeonseok Lee, Sungchan Kim:
Explaining Neural Networks Using Attentive Knowledge Distillation. Sensors 21(4): 1280 (2021) - [c1]Dohun Lim, Hyeonseok Lee, Sungchan Kim:
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation. CVPR 2021: 6468-6477 - [i2]Dohun Lim, Hyeonseok Lee, Sungchan Kim:
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation. CoRR abs/2103.14332 (2021) - 2020
- [j4]Hyeonseok Lee, Sangwoo Yeom, Sungchan Kim:
BP-GAN: Interpretable Human Branchpoint Prediction Using Attentive Generative Adversarial Networks. IEEE Access 8: 97851-97862 (2020) - [j3]Jinkyu Kim, Hyeonseok Lee, Jinwon Shin:
Extended framework of Hamilton's principle applied to Duffing oscillation. Appl. Math. Comput. 367 (2020)
2010 – 2019
- 2019
- [j2]Changwoon Han, Hyeonseok Lee:
A field-applicable health monitoring method for photovoltaic system. Reliab. Eng. Syst. Saf. 184: 219-227 (2019) - [j1]Changwoon Han, Seungil Park, Hyeonseok Lee:
Intermittent failure in electrical interconnection of avionics system. Reliab. Eng. Syst. Saf. 185: 61-71 (2019) - [i1]Jinkyu Kim, Hyeonseok Lee, Jinwon Shin:
Extended framework of Hamilton's principle applied to Duffing oscillation. CoRR abs/1903.06524 (2019)
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