Publications | Yuzhe Ma

Book Chapter

2023

[B01] Machine Learning for Testability Prediction

Invited Book Chapter

Yuzhe Ma

Machine Learning Applications in Electronic Design Automation, Springer, 2023.

Edited by Haoxing Ren and Jiang Hu.

Papers

2023

[J24] L2O-ILT: Learning to Optimize Inverse Lithography Techniques

Binwu Zhu, Su Zheng, Ziyang Yu, Guojin Chen, Yuzhe Ma, Fan Yang, Bei Yu, Martin Wong

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), accepted.

[J23] RL-OPC: Mask Optimization with Deep Reinforcement Learning

Xiaoxiao Liang, Yikang Ouyang, Haoyu Yang, Bei Yu, Yuzhe Ma

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), accepted.

[J22] DevelSet: Deep Neural Level Set for Instant Mask Optimization

Guojin Chen, Ziyang Yu, Hongduo Liu, Yuzhe Ma, Bei Yu

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), accepted.

[J21] CTM-SRAF: Continuous Transmission Mask-based Constraint-aware Sub Resolution Assist Feature Generation

Ziyang Yu, Peiyu Liao, Yuzhe Ma, Bei Yu, Martin D.F. Wong

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), accepted.

[C32] ASAP: Accurate Synthesis Analysis and Prediction with Multi-task Learning

Best Paper Award

Yikang Ouyang, Sicheng Li, Dongsheng Zuo, Hanwei Fan, Yuzhe Ma

ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), Utah, Sep. 2023.

[C31] ArchExplorer: Microarchitecture Exploration via Bottleneck Analysis

Chen Bai, Jiayi Huang, Xuechao Wei, Yuzhe Ma, Sicheng Li, Hongzhong Zheng, Bei Yu, Yuan Xie

IEEE/ACM International Symposium on Microarchitecture (MICRO), Toronto, Oct. 2023.

[C30] RL-MUL: Multiplier Design Optimization with Deep Reinforcement Learning

Dongsheng Zuo, Yikang Ouyang, Yuzhe Ma

ACM/IEEE Design Automation Conference (DAC), San Francisco, July 2023.

[C29] OpenDRC: An Efficient Open-Source Design Rule Checking Engine with Hierarchical GPU Acceleration

Zhuolun He, Yihang Zuo, Jiaxi Jiang, Haisheng Zheng, Yuzhe Ma, Bei Yu

ACM/IEEE Design Automation Conference (DAC), San Francisco, July 2023.

[C28] Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields

Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin Wong

ACM/IEEE Design Automation Conference (DAC), San Francisco, July 2023.

2022

[J20] Small is Beautiful: Compressing Deep Neural Networks for Partial Domain Adaptation

Yuzhe Ma, Xufeng Yao, Ran Chen, Ruiyu Li, Xiaoyong Shen, Bei Yu

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.

[J19] A GPU-enabled Level Set Method for Mask Optimization

Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022.

[J18] PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization

Hao Geng, Tinghuan Chen, Yuzhe Ma, Binwu Zhu, Bei Yu

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022.

[J17] Analog Circuit Yield Optimization via Freeze-Thaw Bayesian Optimization Technique

Xiaodong Wang, Changhao Yan, Yuzhe Ma, Bei Yu, Fan Yang, Dian Zhou, Xuan Zeng

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022.

[J16] Adaptive Layout Decomposition with Graph Embedding Neural Networks

Wei Li, Yuzhe Ma, Yibo Lin, Bei Yu

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022.

[C27] X-Check: GPU-Accelerated Design Rule Checking via Parallel Sweepline Algorithms

Zhuolun He, Yuzhe Ma, Bei Yu

IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2022.

[C26] AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns

Wenqian Zhao, Xufeng Yao, Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu, Martin Wong

IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2022.