Professor Email: zhaomengying at email dot sdu dot edu dot cn |
Short Bio: Mengying Zhao received the BE degree from the School of Computer Science and Technology, Shandong University, China, in July 2011, and the PhD degree from the Department of Computer Science, City University of Hong Kong, in July 2015. She is now a professor with the School of Computer Science and Technology, Shandong University. Her research interests include computer architecture, non-volatile memory, and heterogeneous computing.
Our paper entitled “Branch Predictor Design for Energy Harvesting Powered Nonvolatile Processors” is accepted by IEEE Trans. on Computers.
Our paper entitled “Implementing Neural Networks on Nonvolatile FPGAs With Reprogramming” is accepted by IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Our paper entitled “CoaCAD: Correlation-Assisted Computer-Aided Design for Nonvolatile FPGAs” is accepted by IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Our paper entitled “Decentralized Federated Learning in Partially Connected Networks with Non-IID Data” is accepted by DATE 2024.
Our paper entitled “Towards Efficient Reconfiguration through Lightweight Input Inversion for MLC NVFPGAs” is accepted by DATE 2024.
Our paper entitled “Towards High-throughput Neural Network Inference with Computational BRAM on Nonvolatile FPGAs” is accepted by DATE 2024.
Check my full publication list on dblp and google scholar.
Hao Zhang, Jian Zuo, Huichuan Zheng, Sijia Liu, Meihan Luo, Mengying Zhao*, “Implementing Neural Networks on Nonvolatile FPGAs With Reprogramming ”, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (TCAD), Volume: 43, November 2024. [Full paper]
Liang Shi, Jingtong Shi, Hussam Amrouch, Kuan-Hsun Chen, Mengying Zhao, Weichen Liu, “Introduction to Special Issue on In/Near Memory and Storage Computing for Embedded Systems”, ACM Trans. Embedded Comput. Syst. (TECS), Volume: 23, September 2024. [Full paper]
Ganapati Bhat, Biresh Kumar Joardar, Mengying Zhao, “Introduction to the special issue on embedded system software/tools”, ACM ACM Trans. Des. Autom. Electron. Syst. (TODAES), Volume: 29, September 2024. [Full paper]
Mengying Zhao, Yuqing Xiong, Hao Zhang, Huichuan Zheng, Dongxiao Yu, Zhaoyan Shen*, “CoaCAD: Correlation-Assisted Computer-Aided Design for Nonvolatile FPGAs”, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (TCAD), June 2024. [Full paper]
Shuo Xu, Wei Zhang, Mengying Zhao, Zimeng Zhou, Lei Ju*, “Cache-aware Task Decomposition for Efficient Intermittent Computing Systems”, 61th Annual Design Automation Conference 2024 (DAC), November 2024. [Full paper]
Xiaojun Cai, Nanxiang Yu, Mengying Zhao*, Mei Cao, Tingting Zhang, Jianbo Lu, “Decentralized Federated Learning in Partially Connected Networks with Non-IID Data”, Design, Automation and Test in Europe Conference 2024 (DATE), March 2024. [Full paper]
Huichuan Zheng, Mengying Zhao*, Hao Zhang, Yuqing Xiong, Xiaojun Cai, Zhiping Jia “Towards Efficient Reconfiguration through Lightweight Input Inversion for MLC NVFPGAs;, Design, Automation and Test in Europe Conference 2024 (DATE), March 2024. [Full paper]
Hao Zhang, Mengying Zhao*, Huichuan Zheng, Yuqing Xiong, Yuhao Zhang, Zhaoyan Shen, “Towards High-Throughput Neural Network Inference with Computational BRAM on Nonvolatile FPGAs”, Design, Automation and Test in Europe Conference 2024 (DATE), March 2024. [Full paper]
Qian Wei, Yi Li, Zhiping Jia, Mengying Zhao, Zhaoyan Shen*, Bingzhe Li, “Reinforcement Learning-Assisted Management for Convertible SSDs”, 60th Annual Design Automation Conference 2023 (DAC), July 2023. [Full paper]
Mengying Zhao, Fanjin Xu, Huichuan Zheng, Hao Zhang, Yuqing Xiong, Zhiping Jia, Xiaojun Cai*, “Correlation-guided Placement for Nonvolatile FPGAs”, 60th Annual Design Automation Conference 2023 (DAC), July 2023. [Full paper]
Hao Zhang, Huichuan Zheng, Shuangliang Li, Yuhao Zhang, Mengying Zhao*, Xiaojun Cai, “Lifetime improvement through adaptive reconfiguration for nonvolatile FPGAs”, J. Syst. Archit. (JSA), Volume: 128, July 2022. [Full paper]
Weifan Sun, Wei Fan, Mengying Zhao*, Weining Song, Xiaojun Cai, Tiantian Liu, Zhiping Jia, “A Deep Reinforcement-Learning-Guided Backup for Energy Harvesting Powered Systems”, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (TCAD), Volume: 413, February 2022. [Full paper]
Weining Song, Xiaojun Cai, Mengying Zhao*, Zhaoyan Shen, Zhiping Jia, “A lightweight online backup manager for energy harvesting powered nonvolatile processor systems”, J. Syst. Archit. (JSA), Volume: 113, February 2021. [Full paper]
Zezhong Ma, Mengying Zhao*, Xiaojun Cai, Zhiping Jia, “Fast-convergent federated learning with class-weighted aggregation”, J. Syst. Archit. (JSA), Volume: 117, August 2021. [Full paper]
Hao Zhang, Ke Liu, Mengying Zhao*, Zhaoyan Shen, Xiaojun Cai, Zhiping Jia, “Pearl: Performance-Aware Wear Leveling for Nonvolatile FPGAs”, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (TCAD), Volume: 40, February 2021. [Full paper]
Ke Liu, Mengying Zhao*, Lei Ju, Zhiping Jia, Jingtong Hu, Chun Jason Xue, “Applying Multiple Level Cell to Non-volatile FPGAs”, ACM Trans. Embedded Comput. Syst. (TECS), Volume: 19, July 2020. [Full paper]
Wei Fan, Yujie Zhang, Weining Song, Mengying Zhao*, Zhaoyan Shen, Zhiping Jia, “Q-learning Based Backup for Energy Harvesting Powered Embedded Systems”, 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), March 2020. [Full paper]
Keni Qiu*, Nicholas Jao, Mengying Zhao, Cyan Subhra Mishra, Gulsum Gudukbay, Sethu Jose, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan, “ResiRCA: A Resilient Energy Harvesting ReRAM Crossbar-Based Accelerator for Intelligent Embedded Processors”, 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA), February 2020. [Full paper]
Weining Song, Yang Zhou, Mengying Zhao*, Lei Ju, Chun Jason Xue, Zhiping Jia, “EMC: Energy-Aware Morphable Cache Design for Non-Volatile Processors”, IEEE Transactions on Computers (TC), Volume: 68, April 2019. [Full paper]
Shuo Huai, Weining Song, Mengying Zhao*, Xiaojun Cai, Zhiping Jia, “Performance-aware Wear Leveling for Block RAM in Nonvolatile FPGAs”, 56th Annual Design Automation Conference 2019 (DAC), June 2019. [Full paper]
ASPDAC SRF Best Poster Award (2021).
ACM Qingdao Rising Star Award (2021).
Third Place in the DAC International System Design Contest (GPU Group) (2018).
hird Place in the DAC International Hardware Contest (FPGA Group) (2017).
Design Contest Finalist, ISLPED 2017.
ICESS Best Paper Award (2016).
TPC member of SAC 2023,NVMSA 2022, LCTES2021, CODES+ISSS 2021, DATE 2021, ACM SAC 2021, DAC 2019, ASPDAC 2019.
Reviewer of TC, TCAD, TVLSI, TECS, TODAES, JSA.
Last update: 11/27/2024