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De-Shiun Fu

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Conference and Workshop Papers

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2025
[c5]
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  - conf/glvlsi/ChenHTFC25
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Yu-Guang Chen, Shih-Cheng Huang, Cheng-Hong Tsai, De-Shiun Fu, Mango Chia-Tso Chao:
Overcoming Training Data Scarcity in Routing Demand Prediction via Ensemble Learning. ACM Great Lakes Symposium on VLSI 2025: 681-688
[c4]
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Jai-Ming Lin, Pin-Yu Chen, Min-Chia Tsai, Chen-Fa Tsai, De-Shiun Fu, Che-Li Lin:
An Effective Voltage-drop Aware Analytical Placement Approach. ACM Great Lakes Symposium on VLSI 2025: 752-757
2024
[c3]
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  - conf/iccad/LinLCCTFL24
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Jai-Ming Lin, Wei-Yuan Lin, Yung-Chen Chen, Pin-Yu Chen, Chen-Fa Tsai, De-Shiun Fu, Che-Li Lin:
An Effective Analytical Placement Approach to Handle Fence Region Constraint. ICCAD 2024: 21:1-21:8
2023
[c2]
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  - conf/glvlsi/LinCYHTFC23
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Jhen-Gang Lin, Yu-Guang Chen, Yun-Wei Yang, Wei-Tse Hung, Cheng-Hong Tsai, De-Shiun Fu, Mango Chia-Tso Chao:
DRC Violation Prediction with Pre-global-routing Features Through Convolutional Neural Network. ACM Great Lakes Symposium on VLSI 2023: 313-319
2009
[c1]
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  - conf/iccd/FuCLL09
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De-Shiun Fu, Ying-Zhih Chaung, Yen-Hung Lin, Yih-Lang Li:
Topology-driven cell layout migration with collinear constraints. ICCD 2009: 439-444

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