Xu, Biying, Lin, Yibo, Tang, Xiyuan, Li, Shaolan, Shen, Linxiao, Sun, Nan, and Pan, David Z. WellGAN: Generative-Adversarial-Network-Guided Well Generation for Analog/Mixed-Signal Circuit Layout. Retrieved from https://par.nsf.gov/biblio/10121015. Proceedings of the 56th Annual Design Automation Conference 2019 . Web. doi:10.1145/3316781.3317930.

Xu, Biying, Lin, Yibo, Tang, Xiyuan, Li, Shaolan, Shen, Linxiao, Sun, Nan, & Pan, David Z. WellGAN: Generative-Adversarial-Network-Guided Well Generation for Analog/Mixed-Signal Circuit Layout. Proceedings of the 56th Annual Design Automation Conference 2019, (). Retrieved from https://par.nsf.gov/biblio/10121015. https://doi.org/10.1145/3316781.3317930

Xu, Biying, Lin, Yibo, Tang, Xiyuan, Li, Shaolan, Shen, Linxiao, Sun, Nan, and Pan, David Z. "WellGAN: Generative-Adversarial-Network-Guided Well Generation for Analog/Mixed-Signal Circuit Layout". Proceedings of the 56th Annual Design Automation Conference 2019 (). Country unknown/Code not available. https://doi.org/10.1145/3316781.3317930. https://par.nsf.gov/biblio/10121015.

@article{osti_10121015,
place = {Country unknown/Code not available}, title = {WellGAN: Generative-Adversarial-Network-Guided Well Generation for Analog/Mixed-Signal Circuit Layout}, url = {https://par.nsf.gov/biblio/10121015}, DOI = {10.1145/3316781.3317930}, abstractNote = {}, journal = {Proceedings of the 56th Annual Design Automation Conference 2019}, author = {Xu, Biying and Lin, Yibo and Tang, Xiyuan and Li, Shaolan and Shen, Linxiao and Sun, Nan and Pan, David Z.}, }