周冉冉

高级实验师

硕士生导师

电子邮箱: 

个人简介

科研方向

名称 简介

集成电路设计与EDA

  1. 模拟/射频集成电路设计

  2. 集成电路设计自动化(EDA)

主要论文

【1】陈杰, 王澎 and 王永.A Two-Stage Differential Ring VCO With False-Lock Suppression and Fast Settling. 《ELECTRONICS LETTERS》, 62,2026.

【2】徐一玮.基于LightGBM的标准单元动态电流预测电子测量技术,2026.

【3】王庆康.基于LSTM的逻辑综合阶段延时预测方法山东大学学报(工学版),2026.

【4】林爽.Video Identifying and Eraser: Use Multi-Task Cascaded Convolutional Neural Network to Enhance Safety in a Text-to-Video Diffusion Model. Applied Sciences-Basel, 16,2026.

【5】张瑞.An Energy-Efficient ECG Classifier with On-Chip Learning Using Binarized Convolutional Neural NetworkIEEE Transactions on Biomedical Circuits and Systems,2026.

【6】张瑞.A multi-class ECG signal classifier using a binarized depthwise separable CNN with the merged convolution–pooling method. SENSORS, 24,2024.

【7】周冉冉.A 55-nm Three-Stage Operational Transconductance Amplifier With Single Cascode Miller Compensation for Large Capacitive Loads. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 31:1970,2023.

【8】袁华中.A 55 nm CMOS RF Transmitter Front-End with an Active Mixer and a Class-E Power Amplifier for 433 MHz ISM Band Applications. ELECTRONICS, 12,2023.

【9】周冉冉.An Analog Circuit Design and Optimization System With Rule-Guided Genetic Algorithm. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41,2022.

【10】李亚萍.An Artificial Neural Network Assisted Optimization System for Analog Design Space Exploration. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39,2020.

专利著作

专利名称 简介 日期

一种基于奖励修正的强化学习的逻辑综合序列优化空间探索方法及系统

2025-10-24

一种基于机器学习的逻辑综合阶段延时预测方法及系统

2025-11-14

一种基于规则引导的遗传算法的集成电路优化方法及系统

2024-09-27

Parallel Analog Circuit Optimization Method Based on Genetic Algorithm and Machine Learning

2023-08-01

一种电路解析模型辅助的模拟电路自动优化方法、设备及存储介质

2022-09-20

一种有源RC复数带通滤波器

2022-07-05

一种基于遗传算法和机器学习的并行模拟电路优化方法

2021-03-30

团队成员