DREAM-GAN: Advancing DREAMPlace towards Commercial-Quality using Generative Adversarial Learning. - Yi-Chen Lu; Haoxing Ren; Hao-Hsiang Hsiao; Sung Kyu Lim (ISPD, 2023)

ML-based Physical Design Parameter Optimization for 3D ICs: From Parameter Selection to Optimization. - Hao-Hsiang Hsiao; Pruek Vanna-Iampikul; Yi-Chen Lu; Sung Kyu Lim (DAC, 2024)

FastTuner: Transferable Physical Design Parameter Optimization using Fast Reinforcement Learning. - Hao-Hsiang Hsiao; Yi-Chen Lu; Pruek Vanna-Iampikul; Sung Kyu Lim (ISPD, 2024)

GAN-Place: Advancing Open Source Placers to Commercial-quality Using Generative Adversarial Networks and Transfer Learning. - Yi-Chen Lu; Haoxing Ren; Hao-Hsiang Hsiao; Sung Kyu Lim (ACM Trans. Design Autom. Electr. Syst., 2024)