According to the latest announcement on https://dac.com/2026/accepted-paper-ids ,
two papers of CIA LAB were accepted to DAC 2026, the premier international conference in the EDA field.
📄 (1) PG-GNN: Physics-Guided Graph Neural Network for Cell Timing Library Characterization (Authors: Jason W.-Y. Cheng, Jeffery Y.-C. Chen, Aaron C.-W. Liang and Hung-Pin (Charles) Wen)
📄 (2) TransSyn: Scalable, Area-Oriented Transistor Network Synthesis via Cut-Based Mapper with SAT-Based Refinement (Authors: Jiun-Cheng Tsai, Wei-Min Hsu, Hsuan-Ming Huang, Jen-Hang Yang, Heng-Liang Huang, Yen-Ju Su and Hung-Pin (Charles) Wen) => collaborated with MediaTek
Huge thanks to the relentless effort by all my great students, and to the lucky stars that smiled upon them.
