Publications

You can also find my articles on my Google Scholar profile.

Books/Book Chpaters

B2b. Machine Learning for Analog Layout

• Steven M. Burns, Hao Chen, Tonmoy Dhar, Ramesh Harjani, Jiang Hu, Nibedita Karmokar, Kishor Kunal, Yaguang Li, Yishuang Lin, Mingjie Liu, Meghna Madhusudan, Parijat Mukherjee, David Z. Pan, Jitesh Poojary, S. Ramprasath, Sachin S. Sapatnekar, Arvind K. Sharma, Wenbin Xu, Soner Yaldiz, and Keren Zhu,,
• Machine Learning Applications in Electronic Design Automation, Springer, 2022
• Authors in alphabetic order

B2a. Machine Learning for Analog Circuit Sizing

• Ahmet F. Budak*, Shuhan Zhang*, Mingjie Liu, Wei Shi, Keren Zhu, and David Z. Pan,
• Machine Learning Applications in Electronic Design Automation, Springer, 2022
• * Equal contribution

B1. CAD for Analog/Mixed-Signal Integrated Circuits

• Mohamed B. Alawieh, Ahmet F. Budak, Hao Chen, Mingjie Liu, David Z. Pan, Wei Shi, Xiyuan Tang, Shuhan Zhang and Keren Zhu
• Advances in Semiconductor Technologies: Selected Topics Beyond Conventional CMOS, Wiley-IEEE Press., 2022
• Authors in alphabetic order

Journal Papers

J3. Tutorial and Perspectives on MAGICAL: A Silicon-Proven Open-Source Analog IC Layout System

• Invited
• Keren Zhu, Hao Chen, Mingjie Liu and David Z. Pan
• IEEE Transactions on Circuits and Systems–II: Express Briefs (TCAS-II), 2022.

J2. Challenges and Opportunities Toward Fully Automated Analog Layout Design

• Invited
• Hao Chen*, Mingjie Liu *, Xiyuan Tang*, Keren Zhu *, Nan Sun and David Z. Pan
• Journal of Semiconductors, 2020.
• Featured on the cover
• * In alphabetic order

J1. MAGICAL: An Open-Source Fully Automated Analog IC Layout System from Netlist to GDSII

• Invited
• Hao Chen*, Mingjie Liu *, Biying Xu*, Keren Zhu *, Xiyuan Tang, Shaolan Li, Yibo Lin, Nan Sun and David Z. Pan
• IEEE Design & Test, 2020.
• *indicates equal contributions

Conference Papers

C22. SOP: Machine Learning-Assisted Inverse Stack-Up Optimization for Advanced Package Design

• Hyunsu Chae, Bhyrav Mutnury, Keren Zhu, Doug Wallace, Doug Winterburg, Daniel DeAraujo, Jay Reddy, Adam Klivans and David Z. Pan
• IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerp, Belgium, April 17- 19, 2023.
• Accepted

C21. Reinforcement Learning Guided Detailed Routing for FinFET Custom Circuits

• Hao Chen, Kai-Chieh Hsu, Walker J. Turner, Po-Hsuan Wei, Keren Zhu, David Z. Pan and Haoxing Ren
• ACM International Symposium on Physical Design (ISPD), Virtual Conference, March 26-29, 2023.
• Accepted

C20. TAG: Learning Circuit Spatial Embedding From Layouts

• Keren Zhu, Hao Chen, Walker Turner, George Kokai, Po-Hsuan Wei, David Z. Pan, and Haoxing Ren
• IEEE/ACM International Conference on Computer-Aided Design (ICCAD), San Diego, Oct. 30–Nov. 3, 2022.

C19. Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration

• Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray Chen, Jean Anne Incorvia, and David Z. Pan
• IEEE/ACM International Conference on Computer-Aided Design (ICCAD), San Diego, Oct. 30–Nov. 3, 2022.

C18. AutoCRAFT: Layout Automation for Custom Circuits in Advanced FinFET Technologies

• Hao Chen, Walker J. Turner, Sanquan Song, Keren Zhu, George F. Kokai, Brian Zimmer, C. Thomas, Gray, Brucek Khailany, David Z. Pan, and Haoxing Ren
• ACM International Symposium on Physical Design (ISPD), Virtual Conference, March 27-30, 2022.
• Invited

C17. Automating Analog Constraint Extraction: From Heuristics to Learning

• Keren Zhu, Hao Chen, Mingjie Liu, and David Z. Pan
• IEEE/ACM Asia and SouthPacific Design Automation Conference (ASPDAC), Virtual Conference, January 17-20, 2022.
• Invited

C16. Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives

• Ahmet F. Budak*, Zixuan Jiang*, Keren Zhu, Azalia Mirhoseini, Anna Goldie, and David Z. Pan
• IEEE/ACM Asia and SouthPacific Design Automation Conference (ASPDAC), Virtual Conference, January 17-20, 2022.
• Invited
• *indicates equal contributions

C15. Generative-Adversarial-Network-Guided Well-Aware Placement for Analog Circuits

• Keren Zhu, Hao Chen, Mingjie Liu, Xiyuan Tang, Wei Shi, Nan Sun, and David Z. Pan
• IEEE/ACM Asia and SouthPacific Design Automation Conference (ASPDAC), Virtual Conference, January 17-20, 2022.

C14. OpenSAR: An OpenSource Automated End-to-end SARADC Compiler

• source codes
• Mingjie Liu, Xiyuan Tang, Keren Zhu, Hao Chen, Nan Sun, and David Z. Pan
• IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Virtual Conference, November 1-5, 2021.

C13. Universal Symmetry Constraint Extraction for Analog and Mixed-Signal Circuits with Graph Neural Networks

• Hao Chen, Keren Zhu, Mingjie Liu, Xiyuan Tang, Nan Sun, and David Z. Pan
• ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, December 5-9, 2021.

C12. Optimizer Fusion: Efficient Training with Better Locality and Parallelism

• Zixuan Jiang, Jiaqi Gu, Mingjie Liu, Keren Zhu and David Z. Pan
• International Conference on Learning Representations (ICLR)Workshop, Hardware Aware Efficient Training (HAET), May 07, 2021.

C11. An In-Memory-Computing Charge-Domain Ternary CNN Classifier

• slides
• Xiangxing Yang, Keren Zhu, Xiyuan Tang, Meizhi Wang, Mingtao Zhan, Nanshu Lu, Jaydeep P. Kulkarni, David Z. Pan, Yongpan Liu and Nan Sun
• 2021 IEEE Custom Integrated Circuits Conference (CICC), Virtual Event, April 25-30, 2021.
• Best Student Paper Award Nomination

C10. MAGICAL 1.0: An Open-Source Fully-Automated AMS Layout Synthesis Framework Verified With a 40-nm 1GS/s Δ∑ ADC

• slides | video
• Hao Chen*, Mingjie Liu*, Xiyuan Tang*, Keren Zhu*, Abhishek Mukherjee, Nan Sun and David Z. Pan
• 2021 IEEE Custom Integrated Circuits Conference (CICC), Virtual Event, April 25-30, 2021.
• *indicates equal contributions

C9. Exploring Logic Optimizations with Reinforcement Learning and Graph Convolutional Network

• preprint | source codes | slides
• Keren Zhu, Mingjie Liu, Hao Chen, Zheng Zhao and David Z. Pan
• 2nd ACM/IEEE Workshop on Machine Learning for CAD (MLCAD),Virtual Event, Iceland, November 16-20, 2020.

C8. Toward Silicon-Proven Detailed Routing for Analog and Mixed-Signal Circuits

• preprint | slides
• Hao Chen, Keren Zhu, Mingjie Liu, Xiyuan Tang, Nan Sun and David Z. Pan
• IEEE/ACM International Conference on Computer-Aided Design (ICCAD), November 02-05, 2020.

C7. Effective Analog/Mixed-Signal Circuit Placement Considering System Signal Flow

• preprint | source codes | slides
• Keren Zhu, Hao Chen, Mingjie Liu, Xiyuan Tang, Nan Sun and David Z. Pan
• IEEE/ACM International Conference on Computer-Aided Design (ICCAD), November 02-05, 2020.
• Best Paper Candidate Nominated from Track

C6. An Efficient Training Framework for Reversible Neural Architectures

• preprint | slides
• Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu and David Z. Pan
• European Conference on Computer Vision (ECCV), Glasgow, United Kingdom, August 23-27, 2020.

C5. Closing the Design Loop: Bayesian Optimization Assisted Hierarchical Analog Layout Synthesis

• Mingjie Liu, Keren Zhu, Xiyuan Tang, Biying Xu, Wei Shi, Nan Sun and David Z. Pan
• ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, July 19-23, 2020.

C4. Towards Decrypting the Art of Analog Layout: Placement Quality Prediction via Transfer Learning

• preprint | slides | source codes
• Mingjie Liu *, Keren Zhu *, Jiaqi Gu, Linxiao Shen, Xiyuan Tang, Nan Sun and David Z. Pan
• IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), Grenoble, France, Mar. 09-13, 2020.
• *indicates equal contributions

C3. S3DET: Detecting System Symmetry Constraints for Analog Circuits with Graph Similarity

• | codes for reference
• Mingjie Liu, Wuxi Li, Keren Zhu, Biying Xu, Yibo Lin, Linxiao Shen, Xiyuan Tang, Nan Sun and David Z. Pan
• IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC), Beijing, China, January 13-16, 2020.
• Best Paper Award Nomination

C2. MAGICAL: Toward Fully Automated Analog IC Layout Leveraging Human and Machine Intelligence

• Invited
• preprint | slides
• Biying Xu, Keren Zhu, Mingjie Liu, Yibo Lin, Shaolan Li, Xiyuan Tang, Nan Sun, and David Z. Pan
• IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Westminster, CO, USA, November 4-7, 2019.

C1. GeniusRoute: A New Routing Paradigm Using Generative Neural Network Guidance for Analog Circuits

• preprint | slides
• Keren Zhu, Mingjie Liu, Yibo Lin, Biying Xu, Shaolan Li, Xiyuan Tang, Nan Sun and David Z. Pan
• IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Westminster, CO, USA, November 4-7, 2019.
• Best Paper Candidate Nominated from Track