Publications | Yuzhe Ma

Book Chapter

[B01] Machine Learning for Testability Prediction

Invited Book Chapter
Yuzhe Ma
Machine Learning Applications in Electronic Design Automation, Springer, 2022.

Papers

2026

[J26] LightSim: A Flexible, Fast Modeling Framework for Holistic Photonic Computing Systems

Yuxuan Lin, Guohao Dai, Shanshi Huang, Yuzhe Ma
ACM Transactions on Design Automation of Electronic Systems (TODAES), 2026.

[C58] ELITE: Efficient Lookup Table-Assisted Routing Engine for Photonic Integrated Circuits

Best Paper Award Nomination
Xiaofei Yu, Yuchao Wu, Haopeng Yan, Yeyu Tong, Yuzhe Ma
International Symposium of EDA (ISEDA), 2026.

[C57] PCB-Bench: Benchmarking LLMs for Printed Circuit Board Placement and Routing

Jindong Li, Lianrong Chen, Bin Yang, Jiadong Zhu, Ying Wang, Yuzhe Ma, Menglin Yang
The Thirteenth International Conference on Learning Representations (ICLR), 2026.

[C56] Harmony: A Hardware-Mapping Co-Exploration Framework for Hybrid CIM-based Vision Transformer Accelerator

Best Paper Award
Yihang Zuo, Zexin Fu, Cong Wang, Yuchao Wu, Jiayi Huang, Yuzhe Ma
International Symposium on Quality Electronic Design (ISQED), 2026.

[C55] SuperPhys-Net: A Physics-Informed Super-Resolution Electromagnetic Simulator for Nanophotonic Devices

Yiyang Su, Hao Chen, Guohao Dai, Yuzhe Ma, Yeyu Tong
IEEE/ACM Design, Automation, and Test in Europe (DATE), 2026.

[C54] BEAM: Bidirectional MEEF-Driven Mask Optimization for Curvilinear Photonic Design

Xiaoxiao Liang, Yang Luo, Bei Yu, Yuzhe Ma
IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), 2026.

[C53] CombRewriter: Enabling Combinational Logic Simplification in MLIR-Based Hardware Compiler

Haisheng Zheng, Zhuolun He, Shuo Yin, Yuzhe Ma, Bei Yu
IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), 2026.

2025

[J25] A Lightweight Heterogeneous Graph Embedding Framework for Hotspot Detection

Haopeng Yan, Ying Wang, Peng Gao, Fei Yu, Yuzhe Ma, Xiaoming Xiong, Shuting Cai
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.

[J24] RL-MUL 2.0: Multiplier Design Optimization with Parallel Deep Reinforcement Learning and Space Reduction

Dongsheng Zuo, Jiadong Zhu, Yikang Ouyang, Yuzhe Ma
ACM Transactions on Design Automation of Electronic Systems (TODAES), 2025.

[J23] Interpretable CNN-based Lithographic Hotspot Detection Through Error Marker Learning

Haoyang Sun, Cong Jiang, Xun Ye, Dan Feng, Benjamin Tan, Yuzhe Ma, Kang Liu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025.

[C52] Constraints-aware Adaptive Routing with Hybrid Waveguides for Photonic Integrated Circuits

Yuchao Wu, Xiaofei Yu, Xianyi Feng, Yeyu Tong, Yuzhe Ma
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2025.

[C51] ThermoPhoton: Fast 3D Thermal Simulation of Photonic Integrated Circuits via Operator Learning

Weilong Guan, Li Huang, Yuxuan Lin, Yuchao Wu, Yeyu Tong, Yuzhe Ma
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2025.

[C50] A Diffusion Model Enhanced Source Optimization for Fab Productivity

Xiaoxiao Liang, Benjamin C. He, Yuzhe Ma
SPIE Optics + Photonics Conference, 2025.

[C49] Efficient Continuous Logic Optimization with Diffusion Model

Yikang Ouyang, Xiaofei Yu, Jiadong Zhu, Tinghuan Chen, Yuzhe Ma
ACM/IEEE Design Automation Conference (DAC), 2025.

[C48] E-morphic: Scalable Equality Saturation for Structural Exploration in Logic Synthesis

Chen Chen, Guangyu Hu, Cunxi Yu, Yuzhe Ma, Hongce Zhang
ACM/IEEE Design Automation Conference (DAC), 2025.

[C47] Curvilinear Optical Proximity Correction via Cardinal Spline

Su Zheng, Xiaoxiao Liang, Ziyang Yu, Yuzhe Ma, Bei Yu, Martin Wong
ACM/IEEE Design Automation Conference (DAC), 2025.

[C46] Efficient SRAF Generation via Diffusion Models

Minjie Bi, Yang Luo, Xiaoxiao Liang, Zhengzhou Gu, Jinbin Deng, Binwu Zhu, Yuzhe Ma
International Symposium of EDA (ISEDA), 2025.

[C45] Computing Circuits Optimization via Model-Based Circuit Genetic Evolution

Zhihai Wang, Jie Wang, Xilin Xia, Dongsheng Zuo, Lei Chen, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Feng Wu
The Thirteenth International Conference on Learning Representations (ICLR), 2025

[C44] PICBench: Benchmarking LLMs for Photonic Integrated Circuits Design

Invited Paper
Yuchao Wu, Xiaofei Yu, Hao Chen, Yang Luo, Yeyu Tong, Yuzhe Ma
IEEE/ACM Design, Automation, and Test in Europe (DATE), 2025.

[C43] Bi-Level Optimization Accelerated DRC-Aware Physical Design Automation for Photonic Devices

Hao Chen, Yuzhe Ma, Yeyu Tong
IEEE/ACM Design, Automation, and Test in Europe (DATE), 2025.

[C42] Location is All You Need: Efficient Lithographic Hotspot Detection Using Only Polygon Locations

Yujia Wang, Jiaxing Wang, Dan Feng, Yuzhe Ma, Kang Liu
IEEE/ACM Design, Automation, and Test in Europe (DATE), 2025.

[C41] Automatic Routing for Photonic Integrated Circuits Under Delay Matching Constraints

Yuchao Wu, Weilong Guan, Yeyu Tong, Yuzhe Ma
IEEE/ACM Design, Automation, and Test in Europe (DATE), 2025.

[C40] SMART-GPO: Gate-Level Sensitivity Measurement with Accurate Estimation for Glitch Power Optimization

Best Paper Award Nomination
Yikang Ouyang, Yuchao Wu, Dongsheng Zuo, Subhendu Roy, Tinghuan Chen, Zhiyao Xie, Yuzhe Ma
IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), 2025.

[C39] A Holistic FPGA Architecture Exploration Framework for Deep Learning Acceleration

Jiadong Zhu, Dongsheng Zuo, Yuzhe Ma
IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), 2025.

2024

[J22] 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), 2024.

[C38] UFO-MAC: A Unified Framework for Optimization of High-Performance Multipliers and Multiply-Accumulators

Dongsheng Zuo, Jiadong Zhu, Chenglin Li, Yuzhe Ma
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2024.

[C37] Enabling Robust Inverse Lithography with Rigorous Multi-Objective Optimization

Yang Luo, Xiaoxiao Liang, Yuzhe Ma
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2024.

[C36] A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design

Zhihai Wang, Jie Wang, Dongsheng Zuo, Yunjie Ji, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu
International Conference on Machine Learning (ICML), 2024.

[C35] EMOGen: Enhancing Mask Optimization via Pattern Generation

Su Zheng, Yuzhe Ma, Bei Yu, Martin Wong
ACM/IEEE Design Automation Conference (DAC), 2024.

[C34] E-Syn: E-Graph Rewriting with Technology-Aware Cost Functions for Logic Synthesis

Chen Chen, Guangyu Hu, Dongsheng Zuo, Cunxi Yu, Yuzhe Ma, Hongce Zhang
ACM/IEEE Design Automation Conference (DAC), 2024.

[C33] CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning

Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma
ACM/IEEE Design Automation Conference (DAC), 2024.

2023

[J21] 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), 2023.

[J20] 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), 2023.

[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

[J19] 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.

[J18] 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.

[J17] 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.

[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.

2021

[J15] DAMO: Deep Agile Mask Optimization for Full Chip Scale

Guojin Chen, Wanli Chen, Qi Sun, Yuzhe Ma, Haoyu Yang, Bei Yu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021.

[J14] High-Speed Adder Design Space Exploration via Graph Neural Processes

Hao Geng, Yuzhe Ma, Qi Xu, Jin Miao, Subhendu Roy, Bei Yu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021.

[J13] Neural-ILT 2.0: Migrating ILT to Domain-specific and Multi-task-enabled Neural Network

Bentian Jiang, Lixin Liu, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021.

[J12] Deep Learning-Driven Simultaneous Layout Decomposition and Mask Optimization

Wei Zhong, Shuxiang Hu, Yuzhe Ma, Haoyu Yang, Xiuyuan Ma, Bei Yu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021.

[J11] OpenMPL: An Open-Source Layout Decomposer

Wei Li, Yuzhe Ma, Qi Sun, Lu Zhang, Yibo Lin, Iris Hui-Ru Jiang, Bei Yu, David Z. Pan
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021.

[J10] Machine Learning for Electronic Design Automation: A Survey

Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang
ACM Transactions on Design Automation of Electronic Systems (TODAES), 2021.

[J09] VLSI Mask Optimization: From Shallow To Deep Learning

Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu
Integration, the VLSI Journal, 2021.

[C25] BOOM-Explorer: RISC-V BOOM Microarchitecture Design Space Exploration Framework

William J. McCalla Best Paper Award
Chen Bai, Qi Sun, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D.F. Wong
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2021.

[C24] DevelSet: Deep Neural Level Set for Instant Mask Optimization

Guojin Chen, Ziyang Yu, Hongduo Liu, Yuzhe Ma, Bei Yu
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2021.

[C23] NeurFill: Migrating Full-Chip CMP Simulators to Neural Networks for Model-Based Dummy Filling Synthesis

Junzhe Cai, Changhao Yan, Yuzhe Ma, Bei Yu, Dian Zhou, Xuan Zeng
ACM/IEEE Design Automation Conference (DAC) Dec, 2021.

[C22] A GPU-enabled Level-Set Method for Mask Optimization

Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu
IEEE/ACM Proceedings Design, Automation and Test in Europe (DATE), Feb. 2021.

[C21] Physical Synthesis for Advanced Neural Network Processors

Invited Paper
Zhuolun He, Peiyu Liao, Siting Liu, Yuzhe Ma, Bei Yu
IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), Jan. 2021.

[C20] TreeNet: Deep Point Cloud Embedding for Routing Tree Construction

Best Paper Award
Wei Li, Yuxiao Qu, Gengjie Chen, Yuzhe Ma, Bei Yu
IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), Jan. 2021.

2020

[J08] Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection

Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg
ACM Transactions on Design Automation of Electronic Systems (TODAES), 2020.

[J07] A Unified Framework for Simultaneous Layout Decomposition and Mask Optimization

Yuzhe Ma, Wei Zhong, Shuxiang Hu, Jhih-Rong Gao, Jian Kuang, Jin Miao, Bei Yu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020.

[J06] SRAF Insertion via Supervised Dictionary Learning

Hao Geng, Wei Zhong, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020.

[J05] GAN-OPC: Mask Optimization with Lithography-guided Generative Adversarial Nets

Haoyu Yang, Shuhe Li, Zihao Deng, Yuzhe Ma, Bei Yu, and Evangeline F. Y. Young
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020.

[C19] Reinforcement Learning Driven Physical Synthesis

Invited Paper
Zhuolun He, Lu Zhang, Peiyu Liao, Yuzhe Ma, Bei Yu
IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT), Nov. 2020.

[C18] DAMO: Deep Agile Mask Optimization for Full Chip Scale

Guojin Chen, Wanli Chen, Yuzhe Ma, Haoyu Yang, Bei Yu
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov, 2020.

[C17] Neural-ILT: Migrating ILT to Nerual Networks for Mask Printability and Complexity Co-optimizaton

Bentian Jiang, Lixin Liu, Yuzhe Ma, Hang Zhang, Evangeline F. Y. Young, Bei Yu
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov, 2020.

[C16] Learn to Floorplan through Acquisition of Effective Local Search Heuristics

Zhuolun He, Yuzhe Ma, Lu Zhang, Peiyu Liao, Ngai Wong, Bei Yu, Martin D. F. Wong
IEEE International Conference on Computer Design (ICCD), Oct. 2020.

[C15] Adaptive Layout Decomposition with Graph Embedding Neural Networks

Wei Li, Jialu Xia, Yuzhe Ma, Jialu Li, Yibo Lin, Bei Yu
ACM/IEEE Design Automation Conference (DAC), July, 2020.

[C14] Deep Learning-Driven Simultaneous Layout Decomposition and Mask Optimization

Wei Zhong, Shuxiang Hu, Yuzhe Ma, Haoyu Yang, Xiuyuan Ma, Bei Yu
ACM/IEEE Design Automation Conference (DAC), July, 2020.

[C13] Understanding Graphs in EDA: From Shallow to Deep Learning

Invited Paper
Yuzhe Ma, Zhuolun He, Wei Li, Lu Zhang, Bei Yu
ACM International Symposium on Physical Design (ISPD), Mar. 2020.

[C12] VLSI Mask Optimization: From Shallow To Deep Learning

Invited Paper
Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu
IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), Jan. 2020.

2019

[J04] Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach

Yuzhe Ma, Subhendu Roy, Jin Miao, Jiamin Chen, Bei Yu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2019.

[J03] Layout Hotspot Detection with Feature Tensor Generation and Deep Biased Learning

Haoyu Yang, Jing Su, Yi Zou, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2019.

[J02] Recent Advances in Convolutional Neural Network Acceleration

Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe Ma, Bei Yu
Neurocomputing, 2019.

[C11] Congestion-aware Global Routing using Deep Convolutional Generative Adversarial Networks

Zhonghua Zhou, Ziran Zhu, Jianli Chen, Yuzhe Ma, Bei Yu, Tsung-Yi Ho, Guy Lemieux, Andre Ivano
ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), Sep. 2019.

[C10] CAD Tool Design Space Exploration via Bayesian Optimization

Yuzhe Ma, Ziyang Yu, Bei Yu
ACM/IEEE Workshop on Machine Learning for CAD (MLCAD), Sep. 2019.

[C09] A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks

Best Student Paper Award
Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu
IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Nov. 2019.

[C08] OpenMPL: An Open Source Layout Decomposer

Invited Paper
Wei Li, Yuzhe Ma, Qi Sun, Yibo Lin, Iris Hui-Ru Jiang, Bei Yu, David Z. Pan
IEEE International Conference on ASIC (ASICON), Oct. 2019

[C07] High Performance Graph Convolutional Networks with Applications in Testability Analysis

Yuzhe Ma, Haoxing Ren, Brucek Khailany, Harbinder Sikka, Lijuan Luo, Karthikeyan Natarajan, Bei Yu
ACM/IEEE Design Automation Conference (DAC), June 2019.

[C06] SRAF Insertion via Supervised Dictionary Learning

Best Paper Award Nomination
Hao Geng, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu
IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), Jan. 2019.

2018

[J01] SD-PUF: Spliced Digital Physical Unclonable Function

Jin Miao, Meng Li, Subhendu Roy, Yuzhe Ma and Bei Yu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018.

[C05] GAN-OPC: Mask Optimization with Lithography-guided Generative Adversarial Nets

Haoyu Yang, Shuhe Li, Yuzhe Ma, Bei Yu, and Evangeline F. Y. Young
ACM/IEEE Design Automation Conference (DAC), June 2018.

2017

[C04] A Unified Framework for Simultaneous Layout Decomposition and Mask Optimization

Yuzhe Ma, Jhih-Rong Gao, Jian Kuang, Jin Miao and Bei Yu
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2017.

[C03] Clock-Aware UltraScale FPGA Placement with Machine Learning Routability Prediction

Chak-Wa Pui, Gengjie Chen, Yuzhe Ma, Evangeline F. Y. Young and Bei Yu
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2017.

[C02] Methodologies for Layout Decomposition and Mask Optimization: A Systematic Review

Yuzhe Ma, Xuan Zeng and Bei Yu
IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), Oct. 2017.

[C01] A Learning Bridge from Architectural Synthesis to Physical Design for Exploring Power Efficient High-Performance Adders

Subhendu Roy, Yuzhe Ma, Jin Miao and Bei Yu
IEEE International Symposium on Low Power Electronics and Design (ISLPED), July 2017.

Patent

[P01] Deep Learning Testability Analysis with Graph Convolutional Networks

Yuzhe Ma, Haoxing Ren, Brucek Khailany, Harbinder Sikka, Lijuan Luo, Karthikeyan Natarajan
US Patent 10657306, May 2020.

Dissertation

[PHD] Methodologies for Efficient Hardware Design Automation and Hardware-Friendly Learning

Yuzhe Ma
The Chinese University of Hong Kong, July 2020.