Context-Informed Neural ODEs Unexpectedly Identify Broken Symmetries: Insights from the Poincaré-Hopf Theorem
Published in International Conference on Machine Learning (ICML), 2025
In Huh, Changwook Jeong, Muhammad Ashraful Alam
Publications
You can also find my articles on my Google Scholar profile.
Conference Papers
Design-Aware Full-Chip Warpage Modeling for STCO: Bridging Reliability and Design for a New Era of Advanced Systems
Published in Symposium on VLSI Technology and Circuits (VLSI), 2025
Hyunjae Jang, Boo Soo Ma, Satbyul Kim, Ji-Hye Lee, Sanghoon Myung, Young-Joo Lee, In Huh, SeongRyeol Kim, Min Chul Park, Narae Jeong, Sung Jin Kim, Young-Gu Kim, Dae Sin Kim
Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning
Published in Neural Information Processing Systems (NeurIPS), 2023
In Huh, Changwook Jeong, Jae Myung Choe, Young-Gu Kim, Dae Sin Kim
Deep Learning for Semiconductor Materials and Devices Design
Published in IEEE Electron Devices Technology & Manufacturing Conference (EDTM), 2023
Changwook Jeong, Sanghoon Myung, Byungseon Choi, Jinwoo Kim, Wonik Jang, In Huh, Jae Myung Choe, Young-Gu Kim, Dae Sin Kim
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning
Published in International Conference on Machine Learning (ICML), 2022
Sanghoon Myung, In Huh, Wonik Jang, Jae Myung Choe, Jisu Ryu, Daesin Kim, Kee-Eung Kim, Changwook Jeong
Application of Deep Reinforcement Learning to Dynamic Verification of DRAM Designs
Published in ACM/IEEE Design Automation Conference (DAC), 2021
Hyojin Choi, In Huh, Seungju Kim, Jeonghoon Ko, Changwook Jeong, Hyeonsik Son, Kiwon Kwon, Joonwan Chai, Younsik Park, Jaehoon Jeong, Dae Sin Kim, Jung Yun Choi
Time-Reversal Symmetric ODE Network
Published in Neural Information Processing Systems (NeurIPS), 2020
In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
Real-time TCAD: A New Paradigm for TCAD in the Artificial Intelligence Era
Published in International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), 2020
Sanghoon Myung, Jinwoo Kim, Yongwoo Jeon, Wonik Jang, In Huh, Jaemin Kim, Songyi Han, Kang-hyun Baek, Jisu Ryu, Yoon-Suk Kim, Jiseong Doh, Jae-ho Kim, Changwook Jeong, Dae Sin Kim
Journal Articles
ML-Driven Compact Models for RRAMs: Addressing Variability and Simulation Efficiency
Published in IEEE Electron Device Letters (IEEE EDL), 2025
Giyong Hong, In Huh, Joo Hyung You, Jae Myung Choe, Younggu Kim, Changwook Jeong
Comprehensive Studies on Deep Learning Applicable to TCAD
Published in Japanese Journal of Applied Physics (JJAP), 2023
Sanghoon Myung, Byungseon Choi, Wonik Jang, Jinwoo Kim, In Huh, Jae Myung Choe, Young-Gu Kim, Dae Sin Kim
Bridging TCAD and AI: Its Application to Semiconductor Design
Published in IEEE Transactions on Electron Devices (IEEE TED), 2021
Changwook Jeong, Sanghoon Myung, In Huh, Byungseon Choi, Jinwoo Kim, Hyunjae Jang, Hojoon Lee, Daeyoung Park, Kyuhun Lee, Wonik Jang, Jisu Ryu, Moon-Hyun Cha, Jae Myung Choe, Munbo Shim, Dae Sin Kim
An Accurate Drain Current Model of Monolayer Transition-Metal Dichalcogenide Tunnel FETs
Published in IEEE Transactions on Electron Devices (IEEE TED), 2017
In Huh, Sangchun Park, Mincheol Shin, Woo Young Choi
Subthreshold-Swing-Adjustable Tunneling-Field-Effect-Transistor-Based Random-Access Memory for Nonvolatile Operation
Published in Applied Physics Letters (APL), 2016
In Huh, Woo Young Cheon, Woo Young Choi