赵梦莹
个人信息Personal Information
教授 硕士生导师
主要任职:Assistant Professor
性别:女
在职信息:在职
所在单位:计算机科学与技术学院
入职时间:2015-10-23
办公地点:Room 420, N3 Building, Qingdao Campus, Shandong University
扫描关注
- [1] QiuKeni. Design insights of non-volatile processors and accelerators in energy harvesting systems. 369-374, 2020.
- [2] LiuKe. Design and Verification of NVM Control Architecture Based on High-Performance SOC FPGA Array 基于高性能SOC FPGA阵列的NVM验证架构设计与验证. 《计算机研究与发展》, 55, 265-272, 2018.
- [3] Liu, Ke. Design Exploration for Multiple Level Cell based Non-volatile FPGAs. 257-264, 2017.
- [4] 曹美. C2S: Class-aware client selection for effective aggregation in federated learning. High-Confidence Computing, 2, 2022.
- [5] Sun, Weifan. Deep Reinforcement-Learning-Guided Backup for Energy Harvesting Powered Systems. IEEE Transactions on CAD of Integrated Circuits and Systems (TCAD), 41, 346-358, 2022.
- [6] 蔡晓军. 面向冯·诺依曼计算机的指令执行虚拟仿真设计与探讨. 实验技术与管, 39, 89-93, 2022.
- [7] 许硕. RAB: Recomputation Aided Backup for Energy Efficient Non-volatile Processors. 64-71, 2023.
- [8] 赵梦莹. Correlation-guided Placement for Nonvolatile FPGAs. 2023-July, 2023.
- [9] 张浩. Lifetime improvement through adaptive reconfiguration for nonvolatile FPGAs. Journal of Systems Architecture, 128, 2022.
- [10] 魏倩. Reinforcement Learning-Assisted Management for Convertible SSDs. 2023.
- [11] 张浩. Lifetime improvement through adaptive reconfiguration for nonvolatile FPGAs. Journal of Systems Architecture, 2022.
- [12] 郑汇川. Adaptive Mode Transformation for Wear Leveling in Nonvolatile FPGAs. IEEE Transactions on CAD of Integrated Circuits and Systems (TCAD), 41, 2022.
- [13] 孙玮璠. Deep Reinforcement-Learning-Guided Backup for Energy Harvesting Powered Systems. IEEE Transactions on CAD of Integrated Circuits and Systems (TCAD), 2022.
- [14] 王倩. Re-Tangle: A ReRAM-based Processing-in-Memory Architecture for Transaction-based Blockchain. 2019.
- [15] 宋维宁. A lightweight online backup manager for energy harvesting powered nonvolatile processor systems. Journal of Systems Architecture, 113, 2021.
- [16] 蔡晓军. DQN based page allocation for ReRAM main memory. Microprocessors and Microsystems, 2022.
- [17] 马泽中. Fast-convergent federated learning with class-weighted aggregation. Journal of Systems Architecture, 117, 2021.
- [18] 李睿豪. Improving CNN Performance on FPGA Clusters through Topology Exploration. SAC 2021(会议论文), 2021.
- [19] Keni Qiu. ResiRCA: A Resilient Energy Harvesting ReRAM Crossbar-Based Accelerator for Intelligent Embedded Processors. 2020.
- [20] 张浩. Pearl: Performance-Aware Wear Leveling for Nonvolatile FPGAs. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 40, 274, 2021.