Changwook Jeong

According to our database, Changwook Jeong authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning.

In Huh, Changwook Jeong, Jae Myung Choe, Younggu Kim, Daesin Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Restructuring TCAD System: Teaching Traditional TCAD New Tricks.

Sanghoon Myung, Wonik Jang, Seonghoon Jin, Jae Myung Choe, Changwook Jeong, Daesin Kim

CoRR, 2022

PAC-Net: A Model Pruning Approach to Inductive Transfer Learning.

Sanghoon Myung, In Huh, Wonik Jang, Jae Myung Choe, Jisu Ryu, Daesin Kim, Kee-Eung Kim, Changwook Jeong

Proceedings of the International Conference on Machine Learning, 2022

2021

A Novel Approach for Semiconductor Etching Process with Inductive Biases.

Sanghoon Myung, Hyunjae Jang, Byungseon Choi, Jisu Ryu, Hyuk Kim, Sang Wuk Park, Changwook Jeong, Daesin Kim

CoRR, 2021

Learning Student-Friendly Teacher Networks for Knowledge Distillation.

Dae Young Park, Moon-Hyun Cha, Changwook Jeong, Daesin Kim, Bohyung Han

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Application of Deep Reinforcement Learning to Dynamic Verification of DRAM Designs.

Hyojin Choi, In Huh, Seungju Kim, Jeonghoon Ko, Changwook Jeong, Hyeonsik Son, Kiwon Kwon, Joonwan Chai, Younsik Park, Jaehoon Jeong, Daesin Kim, Jung Yun Choi

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021