您现在的位置是: 杨旭

硕士生导师

姓名:杨旭
所在学科:计算机科学与技术
职称:副教授
联系电话:010-68913467
E-mail:pyro_yangxu@bit.edu.cn
通信地址:北京市海淀区北京理工大学软件楼320

个人信息

个人简介

杨旭,男,博士,副教授,硕导。

科技部脑科学重大项目论证专家组成员

中国疫苗行业协会疫苗与预防接种大数据应用专委会常委

中国社区卫生协会信息化与网络安全专委会常委

中华预防医学会健康大数据与人工智能应用专委会委员

主持或参与包括国家“十四五”首批科技创新2030——“脑科学与类脑研究”重点项目、国家自然科学基金重大研究计划集成项目、国家自然科学基金青年项目、北京市自然科学基金面上项目、国家发改委重点项目、国家核高基项目在内的多项国家及省部级纵向项目。

发表论文80余篇,以第一/通讯作者被SCI检索近40余篇,申请或授权国家发明专利近20余项,参与撰写的两项团体标准《大型人群队列研究数据处理规范T/CPMA 001-2018》与《大型人群队列研究数据安全规范 T/CPMA 002-2018》获得中国标准创新贡献奖标准项目奖提名。

讲授多门本科生/全英文研究生课程。主编的教材《数据科学导论》获批北京理工大学校“十二五”规划教材、校“十三五”规划教材、校“特立”系列教材,被国内近20余所高等院校作为教材使用。

工作经历:

2012.3~现在  北京理工大学计算机学院 副教授

2009.10~2012.2  清华大学计算机系 博士后

教育经历:

2003.9~2009.7   清华大学微电子所   博士

1999.9~2003.7  清华大学电子工程系  本科


科研方向

1、人工智能:脑科学与类脑研究,涉及脉冲神经网络建模、类脑学习算法及高等智能形式等

2、数据科学:医学数据分析,涉及因果学习、知识图谱、预测预警模型构建等

3、体系架构:高性能计算,涉及区块链、并行计算、工具链设计等


代表性学术成果

人工智能

1. Xu Yang*, Yunlin Lei, Mengxing Wang, Jian Cai, Miao Wang, Ziyi Huan, Xialv Lin, Evaluation of the Effect of the Dynamic Behavior and Topology Co-learning of Neurons and Synapses on the Small-Sample Learning Ability of Spiking Neural Network, Brain Sciences, 2022. 12, 139. https://doi.org/10.3390/brainsci12020139. (SCI 三区, IF: 3.333

2. He Hu; Wang Qilin; Yang Xu*; Lei Yunlin; Cai Jian; Deng Ning; A Memory Neural System Built Based on Spiking Neural Network. Neurocomputing. 2021. (SCI 二区,IF: 5.779)

3. Liu Jing; Yang Xu*; Zhu Yimeng; Lei Yunlin; Cai Jian; Wang Miao; Huan Ziyi; Lin Xialv; How Neuronal Noises Influence Spiking Neural Networks's Cognitive Learning Process: A Preliminary Study. Brain Sciences. 2021, 11(2), 153. (SCI 三区, IF: 3.333

4. Yang, X.*, Lin, J., Zheng, W. et al. Research on learning mechanism designing for equilibrated bipolar spiking neural networks. Artificial Intelligence Review, 2020. 53, 5189–5215. (SCI 二区,IF: 9.588

5. Yang X, Liu G, Deng S, et al. Exploration of a mechanism to form bionic, self-growing and self-organizing neural network[J]. Artificial Intelligence Review, (2019) 52(1): 585-605.(SCI 二区,IF: 9.588

6. Hu He, Yingjie Shang, Xu Yang*, Yingze Di, Jiajun Lin, Yimeng Zhu, Wenhao Zheng, Jinfeng Zhao, Mengyao Ji, Liya Dong, Ning Deng, Yunlin Lei, Zenghao Chai, Constructing an Associative Memory System Using Spiking Neural Network, Frontiers in Neuroscience, 2019, Vol. 13, p: 650. (SCI 二区,IF: 5.152

7. Hu He, Xu Yang*, Zhiheng Xu, Ning Deng, Yingjie Shang, Guo Liu, Mengyao Ji, Wenhao Zheng, Jinfeng Zhao, Liya Dong, Implementing artificial neural networks through bionic construction, PLOS One, Vol. 14, No.2 : e0212368, 2019. (SCI 二区,IF: 3.752

8. Yang, Xu*; Deng, Songgaojun; Ji, Mengyao; Zhao, Jinfeng; Zheng, Wenhao. Neural Network Evolving Algorithm Based on the Triplet Codon Encoding Method. Genes 2018. 9, no. 12: 626. (SCI 三区,IF:4.141


数据科学

1. Ting Lin, Miao Wang, Min Yang, Xu Yang*; A Hidden Markov Ensemble Algorithm Design for Time Series Analysis. Sensors, 2022. 22, 2950. https://doi.org/10.3390/s22082950. (SCI 三区,IF: 3.847)

2. Wei Wei; Yang Xu*; Utility of Convolutional Neural Network Based Algorithm in Medical Images for Liver Fibrosis Assessment. 2021. Chinese Medical Journal.Vol. 134, No. 18 :2255-2257. (SCI 三区,IF: 6.133)

3. Peng Tu; Chen Xiaoya; Wan Ming; Jin Lizhu; Wang Xiaofeng; Du Xuejie; Ge Hui*; Yang Xu*; The Prediction of Hepatitis E through Ensemble Learning. International Journal of Environmental Research and Public Health. 2021, 18(1), 159.  Jan. (SCI 三区,IF: 4.614)

4. Hui Ge, Keyan Gao, Shaoqiong Li, Wei Wang, Qiang Chen, Xialv Lin, Ziyi Huan, Xuemei Su*, Xu Yang*. An Automatic Approach Designed for Inference of the Underlying Cause-of-death of Citizens. International Journal of Environmental Research and Public Health. 2021, 18(5), 2414. Mar. (SCI 三区,IF: 4.614)

5. Lin Xialv; Wang Xiaofeng; Wang Yuhan; Du Xuejie; Jin Lizhu; Wan Ming*; Ge Hui*; Yang Xu*; Optimized Neural Network Based on Genetic Algorithm to Construct Hand-Foot-and-Mouth Disease Prediction and Early-Warning Model, International Journal of Environmental Research and Public Health, 2021, 18(6): 2959. Mar. (SCI 三区,IF: 4.614)

6. Yang Xu*; Chen Guo; Qian Yunchong; Wang Yuhan; Zhai Yisong; Fan Debao; Xu  Yang; Prediction of Myopia in Adolescents through Machine Learning Methods. International Journal of Environmental Research and Public Health 2020, 17(2), 463. (SCI 三区,IF: 4.614)

7. Peng Tu; Yang Xu*; Xu Zi; Liang Yu; Constructing Environmental Friendly Low Carbon Emission Intelligent Transportation System Based on Big Data and Machine Learning Methods. Sustainability. 2020, 12(19), 8118. (SCI 三区,IF: 3.889

8. Yu, Canqing, Tang, Haijing, Guo, Yu, Bian, Zheng, Yang, Ling, Chen, Yiping, Tang, Aiyu, Zhou, Xue, Yang, Xu, Chen, Junshi, Chen, Zhengming, Lv, Jun, Li, Liming, Hot Tea Consumption and Its Interactions With Alcohol and Tobacco Use on the Risk for Esophageal Cancer A Population-Based Cohort Study. Annals of Internal Medicine, 2018;168(7):489-497. (SCI 一区,IF: 51.598


体系架构

1. Ting Lin, Ziyi Huan, Yongcan Shi, Xu Yang*; Implementation of Smart Contract on Consortium Blockchains for IoT Application; Sustainability. 2022. 14, 3921. https://doi.org/10.3390/su14073921. (SCI 三区,IF: 3.889

2. Lin Ting; Yang Xu*; Wang Taoyi; Peng Tu; Xu Feng; Lao Shengxiong; Ma Siyuan; Wang Hanfeng; Hao Wenjiang; Implementation of High-Performance Blockchain Network Based on Cross-Chain Technology for IoT Applications. Sensors. 2020, 20(11), 3268. (SCI 三区,IF: 3.847

3. Yang, Xu; Hou, Yumin; He, Hu*. A Processing-in-Memory Architecture Programming Paradigm for Wireless Internet-of-Things Applications.  Sensors 19, no. 1: 140. 2019. (SCI 三区,IF: 3.847

4. Xu Yang, Yumin Hou, Junping Ma, Hu He*. CDSP: A Solution for Privacy and Security of Multimedia Information Processing in Industrial Big Data and Internet of Things, Sensors, Vol. 19. No. 3 : 556, 2019. (SCI 三区,IF: 3.847

5. He H, Yang X*, Zhang Y. On Improving Performance and Energy Efficiency for Register-File Connected Clustered VLIW Architectures for Embedded System Usage[J]. Computer Journal, 2017, 60(9):1338-1352. (CCF推荐B类期刊,IF: 1.762

6. Xu Yang, Path-Dividing Based Scheduling Algorithm for Reducing Energy Consumption of Clustered VLIW Architectures[J]. IEEE Transactions on Computers, vol.63, no.10, pp.2526-2539, Oct. 2014. (SCI 二区,IF: 3.183)

7. Xu Yang, Deyuan Guo, Hu He, Haijing Tang, and Yanjun Zhang. An Implementation of Message-Passing Interface over VxWorks for Real-Time Embedded Multi-Core Systems. The Computer Journal, vol. 57, no. 11, pp. 1756-1764, Nov. 2014.(CCF推荐B类期刊,IF: 1.762

8. Yang Xu, He Hu. An Advanced Compiler Designed for a VLIW DSP for Sensors-Based Systems. Sensors. Vol. 12, No. 4. pp 4466-4478,April 2012. (SCI 三区,IF: 3.847


承担科研情况

1. 国家“十四五”首批,科技创新2030——“脑科学与类脑研究”重大项目,“支持在线学习的类脑芯片架构”,2022/01-2026/12

2. 北京市自然科学基金面上项目,“具备自适应、小样本学习能力的新型神经网络研究”,2021/01-2023/12

3. 国家自然科学基金重大研究计划集成项目, “面向人群健康和重大疾病的大数据集成共享平台研究及示范应用”,2018/01-2022/12

4. 国家自然科学基金青年项目, “嵌入式异构多核系统应用程序自动并行化过程关键技术研究”,2016/01-2018/12

5. 国家发改委2015年“下一代互联网示范城市”重点项目, “基于车辆eID和IPV6的车联网信息安全示范工程”,2015/01-2017/12

6. 北京理工大学基础研究基金项目,“数据密集型研究方法在嵌入式异构多核系统应用程序自动并行化中的应用研究”,2016/01-2016/12

7. 北京市科技计划项目,“基于大数据的科技金融创新服务模块构建”,2013/01-2014/12

8. 中国博士后科学基金会第四批特别资助项目,“面向嵌入式多核系统的并行应用开发平台关键技术研究”,2011/01-2012/12

9. 中国博士后科学基金会第47批面上资助项目,“能耗有效的异构多核并行应用开发关键技术研究”,2010/01-2011/12

10. 国家核高基01重大专项,“面向先进雷达的高性能数字信号处理器研发及应用”,2012/01-2016/12


所获奖励

1. 2021年获北京理工大学“师缘 北理”庆祝第37个教师节暨教师表彰大会教书育人类表彰

2. 2020年获得北京市普通高校优秀本科毕业设计优秀指导教师

3. 2018年获得北京理工大学第十一届青年教师教学基本功比赛全英文(双语)授课类三等奖

4. 2016年获得北京理工大学第十届青年教师教学基本功比赛全英文(双语)授课类三等奖

5. 2014年获得第三届中国软件杯大学生软件设计大赛优秀指导教师


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