Vector-based Dynamic IR-drop Prediction Using Machine Learning. - Jia-Xian Chen; Shi-Tang Liu; Yu-Tsung Wu; Mu-Ting Wu; Chien-Mo James Li; Norman Chang; Ying-Shiun Li; Wentze Chuang (ASP-DAC, 2022)

Low-IR-Drop Test Pattern Regeneration Using A Fast Predictor. - Shi-Tang Liu; Jia-Xian Chen; Yu-Tsung Wu; Chao-Ho Hsieh; Chien-Mo James Li; Norman Chang; Ying-Shiun Li; Wentze Chuang (ISQED, 2022)

A Profiling Guided Optimization Scheme for Accelerating Quantum Simulations. - Yu-Tsung Wu; Po-Hsuan Huang; Chia-Heng Tu; Shih-Hao Hung (ICCE-Taiwan, 2023)

High-Speed, Low-Storage Power and Thermal Predictions for ATPG Test Patterns. - Zhe-Jia Liang; Yu-Tsung Wu; Yun-Feng Yang; James Chien-Mo Li; Norman Chang; Akhilesh Kumar; Ying-Shiun Li (ITC, 2023)

PARD: A Dataflow Aware Profiler for ROS-Based Autonomous Driving Software. - Shao-Hua Wang; Chen-Xuan Lin; Yu-Tsung Wu; Chia-Heng Tu (ACM Trans. Cyber Phys. Syst., 2025)

QOPS: a compiler framework for quantum circuit simulation acceleration with profile-guided optimizations. - Yu-Tsung Wu; Po-Hsuan Huang; Kai-Chieh Chang; Chia-Heng Tu; Shih-Hao Hung (J. Supercomput., 2025)