姓名：周跃                 性别：男

学历：博士                 职称：讲师

部门：智能科学系           邮箱：zhouyuenju@163.com 

周跃，河南许昌人，博士，讲师。2009年和2012年于南京大学分别获得学士和硕士学位，2022年于bet356体育娱乐APP取得工学博士学位。2022年10月至今在BET体育365投注官网工作，任讲师。

主要研究领域主要包括：深度学习，对抗攻击，分布外检测，忆阻神经网络，神经形态计算等。以第一作者在IEEE Transactions on Circuits and Systems—I: Regular Papers、Neurocomputing等SCI期刊上发表论文4篇，博士期间参研国家自然科学基金联合项目、面上项目等多项科研项目。

一、 教育经历

1. 2019.09–2022.06，bet356体育娱乐APP，BET体育365投注官网，计算机科学与技术，博士

2. 2009.09–2012.06，南京大学，工程管理学院，控制科学与工程，硕士 

3. 2005.09–2009.06，南京大学，工程管理学院，自动化，学士

二、 科研工作经历

1. 2022.10-至今，bet356体育娱乐APP，BET体育365投注官网，讲师

三、 近期代表性论著

1. Yue Zhou, Xiaofang Hu, Lidan Wang, Guangdong Zhou, Shukai Duan*. QuantBayes: Weight Optimization for Memristive Neural Networks via Quantization-Aware Bayesian Inference. IEEE Transactions on Circuits and Systems I: Regular Papers, 2021, 68(12): 4851-4861.

2. Yue Zhou, Xiaofang Hu, Jiaqi Han, Lidan Wang, Shukai Duan*. High Frequency Patterns Play a Key Role in The Generation of Adversarial Examples. Neurocomputing, 2021, 459:131–141.

3. Yue Zhou, Xiaofang Hu, Lidan Wang, Shukai Duan*. Bayesian Neural Network Enhancing Reliability Against Conductance Drift for Memristor Neural Networks. Science China Information Sciences, 2021, 64(6): 160408.

4. Yue Zhou, Xiaofang Hu, Lidan Wang, Shukai Duan*, Yiran Chen. Markov Chain Based Efficient Defense Against Adversarial Examples in Computer Vision. IEEE Access, 2019, 7(1):5695-5706.

5. Tongtong Gao, Yue Zhou, Shukai Duan, Xiaofang Hu*. Memristive KDG-BNN: Memristive Binary Neural Networks Trained via Knowledge Distillation and Generative Adversarial Networks, Knowledge-Based Systems, accepted, 2022.4.

6. Lin Zhang, Yue Zhou, Xiaofang Hu*, Fan Sun, Shukai Duan. MSL-MNN: Image Deraining Based on Multi-scale Lightweight Memristive Neural Network. Neural Computing and Applications, 2022, 34(9):7299-7309.

7. Lin Zhang, Xiaofang Hu*, Yue Zhou, Guangdong Zhou, Shukai Duan. Memristive DeepLab: A Hardware Friendly Deep CNN for Semantic Segmentation. Neurocomputing, 2021, 451:181-191.