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Ying-Shiun Li

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2020 – today

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2024
[c7]
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  - conf/host/LiLCCMNMNLSYJXJAT24
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Henian Li, Lang Lin, Norman Chang, Sreeja Chowdhury, Dylan Mcguire, Bozidar Novakovic, Kazuki Monta, Makoto Nagata, Ying-Shiun Li, Pramod M. S, Piin-Chen Yeh, Jyh-Shing Roger Jang, Chengjie Xi, Qiutong Jin, Navid Asadi, Mark M. Tehranipoor:
Photon Emission Modeling and Machine-Learning Assisted Pre-Silicon Optical Side-Channel Simulation. HOST 2024: 107-111
[c6]
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  - conf/itc-asia/WangLLCKL24
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Wei-Shen Wang, Zhe-Jia Liang, James Chien-Mo Li, Norman Chang, Akhilesh Kumar, Ying-Shiun Li:
Thermal-Aware Test Frequency Optimization. ITC-Asia 2024: 1-5
2023
[c5]
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  - conf/itc/LiangWYLCKL23
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Zhe-Jia Liang, Yu-Tsung Wu, Yun-Feng Yang, James Chien-Mo Li, Norman Chang, Akhilesh Kumar, Ying-Shiun Li:
High-Speed, Low-Storage Power and Thermal Predictions for ATPG Test Patterns. ITC 2023: 206-215
2022
[c4]
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  - conf/aspdac/ChenLWWLCLC22
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Jia-Xian Chen, Shi-Tang Liu, Yu-Tsung Wu, Mu-Ting Wu, Chien-Mo James Li, Norman Chang, Ying-Shiun Li, Wentze Chuang:
Vector-based Dynamic IR-drop Prediction Using Machine Learning. ASP-DAC 2022: 202-207
[c3]
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  - conf/isqed/LiuCWHLCLC22
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Shi-Tang Liu, Jia-Xian Chen, Yu-Tsung Wu, Chao-Ho Hsieh, Chien-Mo James Li, Norman Chang, Ying-Shiun Li, Wentze Chuang:
Low-IR-Drop Test Pattern Regeneration Using A Fast Predictor. ISQED 2022: 27-32

2010 – 2019

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2019
[c2]
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  - conf/irps/ChangCTGZRRLJKM19
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Norman Chang, Wentze Chuang, Ganesh Kumar Tsavatanalli, Joao Geada, Hao Zhuang, Sankar Ramachandran, Rahul Rajan, Ying-Shiun Li, Yaowei Jia, Mathew Kaipanatu, Suresh Kumar Mantena, Ming-Chih Shih, Anita Yang, Jyh-Shing Roger Jang:
Applying Machine Learning to Design for Reliability Coverage. IRPS 2019: 1-7
2018
[c1]
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  - conf/aspdac/ChangBZSRJLLKL18
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Norman Chang, Ajay Baranwal, Hao Zhuang, Ming-Chih Shih, Rahul Rajan, Yaowei Jia, Hui-Lun Liao, Ying-Shiun Li, Ting Ku, Rex Lin:
Machine learning based generic violation waiver system with application on electromigration sign-off. ASP-DAC 2018: 416-421

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