基本信息科学研究教育教学English VersionFPGA and GPU Boards in my Group研究成果
基本信息

王少军,博士,讲师.

哈尔滨工业大学电子与信息工程学院

自动化测试与控制研究所

我的新闻

新闻标题2017 Heterogeneous Accelerator Summer Schoolto be hold in HIT

发表时间2017--06-27

2017异构加速器暑期学校（2017 Heterogeneous Accelerator Summer School，HASS2017）将于2017年7月24-29日在我校举行。来自全球10多所高校的40名博硕士研究生将参加为期一周的课程学习。课程内容覆盖异构处理器（GPU, FPGA, 多核CPU）结构，工具，开发方法及其机器学习（以CNN为主）应用等。来自帝国理工学院的Wayne Luk院士，悉尼大学Philip Leong教授，英属哥伦比亚大学Steve Wilton教授，多伦多大学Jason Anderson教授，波士顿大学Martin Herbordt教授，复旦大学王伶俐教授，滑铁卢大学Nachiket Kapre副教授，西蒙菲莎大学Lesley Shannon副教授，香港大学Hayden So副教授等将讲授课程内容。 更多信息参见网站www.hass2017.com



新闻标题庞业勇博士和刘瀚博硕士在ICEMI国际会议获奖

发表时间2015-07-27

2015年7月16-19日在青岛举办的第12届International Conference on Electronic Measurement & Instruments (ICEMI)国际会议上，我组庞业勇博士论文“A Vector Processor for Online Lithium-ion Battery Capacity Prediction”获得优秀学术报告一等奖; 刘瀚博硕士的论文“Design of FIR Filter with High Level Synthesis”获得优秀学术报告二等奖。


新闻标题夏季学期两门海外课程顺利结束

发表时间2014-07-26
Philip Leong老师与部分同学合影
Oliver Dessiel老师与同学合影

应电气学院彭宇教授，王少军讲师的邀请，澳大利亚悉尼大学Philip Leong副教授和新南威尔士大学Oliver Dessiel 高级讲师分别为电气学院自动化测试与控制系大三年级同学开设夏季学期课程一门，分别为可重构计算(Reconfigurable Computing)和基于Verilog HDL的数字系设计(Digital System Design with Verilog HDL)，目前两门课程已圆满结束，两门课程也受到同学们的普遍好评。


教育经历
1998年-2001年, 就读于山东省日照市第五中学2001年-2007年, 就读于哈尔滨工业大学,自动化测试与控制系,本硕连读2007年-2012年, 就读于哈尔滨工业大学,仪器科学与技术,博士


工作经历
时间工作经历
2013年3月至今哈尔滨工业大学,电气工程及自动化学院,讲师
2015年6月至2016年6月Imperial College London, Department of Computing, Academic Visitor


主要学术任职
FPT2016 Programe Committee Co-Chair

IEEE Member

ACM Member

中国计算机学会会员

研究领域


主要研究方向: FPGA高性能计算、机器学习、自动测试

团队成员
博士研究生: 庞业勇, 研究方向:基于微码结构的在线机器学习可重构计算.

博士研究生: 马宁, 研究方向:可重构加速引擎及其航天应用.

博士研究生: 何永福, 研究方向:基于Zynq的机器学习可重构计算.

博士研究生: Mohsin Ali, 研究方向: 基于FPGA的高性能矩阵运算（巴基斯坦留学生）

博士研究生：于金祥，研究方向：机器学习与嵌入式高性能计算

博士研究生：于希明，研究方向：FPGA的Overlay设计与优化

已毕业：

硕士研究生：厉明坤（华为，上海）

硕士研究生：姬耀（华为，深圳）

硕士研究生：李攀（华为，深圳）

硕士研究生：刘朔（中电集团，石家庄）

客座研究生: 崔新莹（上海）

硕士研究生: 王晓璐（航天科工集团，天津）.

硕士研究生: 刘翰博 （华为，上海）

客座研究生: 崔新莹（上海）

硕士研究生: 汪浩淼(新西兰，奥克兰大学留学)

硕士研究生: 张启荣(哈尔滨工业大学金牌毕业论文, 华为，上海)

硕士研究生: 义日贵(浪潮，北京)

硕士研究生：鲍文磊（美国，俄亥俄州立大学留学）

硕士研究生：仲雪洁（航天科技集团，北京）



讲授课程
1、基于Verilog HDL的数字系统设计(G**)

简介：大三夏季学期全校任选课，由澳大利亚新南威尔士大Oliver Dessiel老师主讲，王少军讲师为校内助课老师。主要内容为基于Verilog HDL进行数字系统设计的基本方法，属于数字电路课程的后续课程。要求学生具有数字电路基础。

实验部分教程下载链接：http://pan.baidu.com/s/1kVNIM83

2、可重构计算（S**Q ）

简介：本课程为与国际高水平学者共建研究生课程，有悉尼大学Philip Leong教授主讲，王少军讲师为校内助课老师。课程内容覆盖FPGA基本结构，算法设计，计算结构等内容，并且安排大量实验环节配合课程内容。上课同学将体验国际一流高校的教学方式，并掌握采用FPGA器件构建可重构计算系统的基本方法，了解该领域的前沿方向，同时也可为大数据分析，高性能计算，嵌入式系统等课程提供知识参考。

招生信息
博硕士招生:
本人所在研究组为电气学院自动化测试与控制研究所彭喜元教授，彭宇教授课题组，欢迎与我联系！


Information
Dr.Shaojun Wang, Assistant Professor

School of Electronics and Information Engineering

Harbin Institute of Technology

Fax: +86-**
Address: Room 521, Building 2A, Science Park of Harbin Institute of Technology, Harbin, China

Email: wangsj@hit.edu.cn, wangshaojunhit@gmail.com

Research interests

FPGA based Computing(Architecture, Dynamic Reconfiguration, Vector Processor)

Machine Learning(Time Series Analysis, Image Processing)

Instrumentation and Measurement (Automatic Test Technique, Data Acquisition)


Education
Ph.D. Instrument Science and Technology, Harbin Institute of Technology. 9/2007-7/2012M.Sc. Instrument Science and Technology, Harbin Institute of Technology. 9/2005-7/2007B.S. Automatic Test and Control, Harbin Institute of Technology. 9/2001-7/2005


Work Experiences

2013.03-Present, Harbin Institute of Technology, Assistant Professor;2015.06-2016.06, Department of Computing, Imperial College London, Academic Visitor;


Professional Service
Peer Reviewer

IEEE TVLSI, IEEE TI&M, IEEE TCAD, IEEE Access, ACM TRETS, ACM TODAES, Microelectronic Reliability.

Conferences and Summer Schools

Course director of 2017 Heterogeneous Accelerator Summer School (HASS2017 )

Program co-chair of FPT2016

Session Chair of PHM2016


Publications

Peer-reviewed Journal Paper

[J1]. Ning Ma, Yu Peng, Shaojun Wang. On-line Hyperspectral Anomaly Detection with Hypothesis Test based Model Learning. Infrared Physics and Technology(Accepted)

[J2]. Ning Ma, Yu Peng, Shaojun Wang. A Fast Recursive Collaboration Representation Anomaly Detector for Hyperspectral Image. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS(Accepted).

[J3]. Yongfu He, Yu Peng, Shaojun Wang, Datong Liu. ADMOST: UAV Flight Data Anomaly Detection and Mitigation via Online Subspace Tracking. IEEE Transactions on Instrumentation and Measurement. 2018(Accepted, early access).

[J4]. Ning Ma, Yu Peng, Shaojun Wang, Philip H.W. Leong. An Unsupervised Deep Hyperspectral Anomaly Detector. Sensors. 2018,18(3):693

[J5]. Yongfu He, Yu Peng, Shaojun Wang, Datong Liu, Philip Leong. A Structured Sparse Subspace Learning Algorithm for Anomaly Detection in UAV Flight Data. IEEE Transactions on Instrumentation and Measurement. 2018, 67(1): 90-100.

[J6]. Liansheng Liu, Shaojun Wang, Datong Liu, Yu Peng. Quantitative Selection of Sensor Data Based on Improved Permutation Entropy for System Remaining Useful Life Prediction. Microelectronics Reliability. 2017, 75: 264-270.

[J7]. Yeyong Pang, Shaojun Wang, Yu Peng. Fully Pipelined Soft Vector Processor as a CPU Accelerator. Chinese Journal of Electronics. 2017, 26(6):1198-1205.

[J8]. Shaojun Wang, Datong Liu, Jianbao Zhou, Bin Zhang, Yu Peng. A Run-Time Dynamic Reconfigurable Computing System for Lithium-Ion Battery Prognosis. Energies, 2016,9(8), 572.

[J9]. Ning Ma, Shaojun Wang, Yu Peng. A run-time built-in approach of TID test in SRAM based FPGAs[J]. Microelectronic Reliability. 2016(64):42-47.

[J10]. Yeyong Pang, Shaojun Wang, Yu Peng, Nick Fraser, and Philip H.W. Leong. A Microcoded Kernel Recursive Least Squares Processor using FPGA Technology. ACM Transactions on Reconfigurable Technology and Systems. 10, 1, Article 5(September 2016), 22 pages.

[J11]. Yongfu He, Shaojun Wang, Wenjuan Wang, Yu Peng, Datong Liu. UAV anomaly detection based on oversampling projection approximation basis pursuit. Chinese Journal of Scientific Instrument, 2016, 37(7):1468-1476.

[J12]. Yeyong Pang, Shaojun Wang, Yu Peng, Xiyuan Peng. A Kernel Adaptive Filter Vector Processor for Online Time Series Prediction. Journal of Electronic and Information Technology, 2016,38(1): 53-62.

[J13]. Xiaolu Wang, Shaojun Wang, Datong Liu. Designing Embedded Dual-core System Based on FPGA. Computer Measurement&Control, 2015,23(11):3751-3758

[J14]. Liansheng Liu, Shaojun Wang, Datong Liu, Yujie Zhang, Yu Peng. Entropy-based sensor selection for condition monitoring and prognostics of aircraft engine. Microelectronics Reliability, 2015,55(9-10):2092-2096.

[J15]. Shaojun Wang, Qirong Zhang, Yu Peng, Xiyuan Peng. Optimal equidistant piecewise linear approximation algorithm for the computation of transcendental functions in FPGA. Chinese Journal of Scientific Instrument. 2014, 35(6):1209-1216.

[J16]. Jianbao Zhou, Shaojun Wang, Liping Ma, Zhiyuan Yang, Yu Peng, Xiyuan Peng. A reconfigurable remaining useful life estimation system for satellite lithium-ion battery.Chinese Journal of Scientific Instrument, 2013, 34(9):2034-2044.

[J17]. Yu Peng, Xuejie Zhong, Shaojun Wang. Design of Storage Optimization Based on FPGA Linear Equations System. Computer Engineering, 2013, 39(4):287-290.

[J18]. Shaojun Wang, Qi Liu, Xuejie Zhong, Xiyuan Peng. An FPGAImplementation for Solving Linear Least Square Problem. Chinese Journal of Scientific Instrument. 2012, 33(3): 701-707.

[J19]. Shaojun Wang, Qi Liu, Yu Peng, Xiyuan Peng. CLS-SVM: a local modeling method for time series forecasting. Chinese Journal of Scientific Instrument. 2011,32(8): 1824-1829.

[J20]. Yeyong Pang, Shaojun Wang, Xiyuan Peng. Design of remote reconfigurable system based on SOPC. Journal of Electronic Measurement and Instrument, 2010, 24(6): 548-554.


Peer-reviewed Conference Paper

[C1]. Zhibin Huang, Ning Ma, Shaojun Wang*, Yu Peng. GPU Computing Performance Analysis on Matrix Multiplication, The 7th International Symposium on Test Automation & Instrumentation (ISTAI’2018), Dalian, China, 18-20 July, 2018

[C2]. HaoranYang, JinxiangYu, ShaojunWang*, XiyuanPeng. Design of Airborne Target Tracking Accelerator based on KCF. The 7th International Symposium on Test Automation & Instrumentation (ISTAI’2018), Dalian, China, 18-20 July, 2018

[C3]. Ning Ma, Yu Peng, Shaojun Wang*, Datong Liu. Hyperspectral Image Anomaly Targets Detection with Online Deep Learning, IEEE International Instrumentation Measurement Technology Conference (I2MTC 2018), Houston, USA, 14–17 May, 2018:1-6

[C4]. Datong Liu, Zeyang Wang, Shaojun Wang, Liansheng Liu. UAV Sensor Data Anomaly Detection using Predictor with Uncertainty Estimation and its Acceleration on FPGA, IEEE International Instrumentation Measurement Technology Conference (I2MTC 2018), Houston, USA, 14–17 May, 2018

[C5]. Moucheng Yang, Jifang Jin, Zhehao Li, Xuegong Zhou, Shaojun Wang, Lingli Wang. A scalable hybrid architecture for high performance data-parallel applications. ICFPT2017, 2017:191-194.

[C6]. Mingkun Li, Shaojun Wang*, Ning Ma, Yu Peng. SRAM FPGAs Single Event Upsets Detection Method Based on Selective Readback. 2017 Prognostics and System Health Management Conference. Harbin, July, 2017:1-7.

[C7]. Syed Mohsin Ali, Shaojun Wang*, Ning Ma, Yu Peng. A Bandwidth In-sensitive Low Stall Sparse Matrix Vector Multiplication Architecture on Reconfigurable FPGA Platform. ICEMI2017. 2017:172-176.

[C8]. Ning Ma, Yu Peng, Shaojun Wang*, Gao Wei. A weight SAE based Hyperspectral image anomaly targets detection. ICEMI2017. 2017:511-515.

[C9]. Yao Ji, Shaojun Wang*, Ning Ma, Yu Peng.A SEU test and simulation method for Zynq BRAM and flip-flops. ICEMI2017. 2017:1-5.

[C10]. Pan Li, Shaojun Wang*, Ning Ma, Datong Liu. A fault-tolerant program memory unit for on-board computer. ICEMI2017. 2017: 325-331.

[C11]. Ning Ma, Shaojun Wang*, Jinxiang Yu, and Yu Peng. A DBN based anomaly targets detector for HIS. AOPC 2017: 3D Measurement Technology for Intelligent Manufacturing. 24 October 2017. doi:10.1117/12.**

[C12]. Liansheng Liu, Shaojun Wang, Datong Liu, Yu Peng. Quantitative Description of Sensor Data Monotonic Trend for System Degradation Condition Monitoring. 2016 Prognostics and System Health Management Conference, Chengdu, 2016.

[C13]. Wenlai Zhao, Haohuan Fu, Wayne Luk, Teng Yu, Shaojun Wang, Bo Feng, Yuchun Ma and Guangwen Yang. F-CNN: An FPGA-based Framework for Training Convolutional Neural Networks. 2016 IEEE 27th International Conference on Application-specific Systems, Architectures and Processors (ASAP), London, 2016, pp. 107-114.

[C14]. Xinyu Niu, Nicholas Ng, Tomofumi Yuki, Shaojun Wang, Nobuko Yoshida and Wayne Luk. EURECA Compilation: Automatic Optimization of Cycle-Reconfigurable Circuits. 2016 26th International Conference on Field Programmable Logic and Applications (FPL), Lausanne, 2016, pp. 1-4.

[C15]. Datong Liu, Shaojun Wang, Jing Chen, Jun Zhou, Peng Yu. Anomaly Detection with Improved Similarity Measure for Satellite Telemetry Data. 22nd ISSAT International Conference on Reliability and Quality in Design (RQD 2016), Los Angles, California, USA, Aug. 4-6, 2016.

[C16]. Shaojun Wang, Xinyu Niu, Ning Ma, Wayne Luk, Philip Leong and Yu Peng. A Scalable Dataflow Accelerator for Real Time Onboard Hyperspectral Image Classification. 12th International Symposium on Applied Reconfigurable Computing(ARC 2016), Mangaratiba, RJ, Brazil, March 22–24, 2016:105-116.

[C17]. Ning Ma, Shaojun Wang, Syed Mohsin Ali, Xiuhai Cui, Yu Peng. High Efficiency On-board Hyperspectral Image Classification with Zynq SoC. 2016 3^rd International Conference on Mechanical, Electronics and Computer Engineering(CMECE 2016)，2016: 1-6.

[C18]. Pang Yeyong, Shaojun Wang, Peng Yu, Philip H.W. Leong. A Vector Processor for Online Battery Capacity Prediction, 12th International Conference on Electronic Measurement & Instruments, ICEMI 2015, Qingdao, China, 2015:254-259 (Best Paper Award)

[C19]. Hanbo Liu, Shaojun Wang, Yigang Zhang. Design of FIR Filter with High Level Synthesis. 12th International Conference on Electronic Measurement & Instruments, ICEMI 2015, Qingdao, China, 2015:1067-1071

[C20]. Yongfu He, Shaojun Wang, Yu Peng, Yeyong Pang, etc.. High Performance Relevance Vector Machine on HMPSoC. 2014 International Conference on Field-Programmable Technology (FPT), 2014:334-337

[C21]. Shaojun Wang, Rigui Yi, Yu Peng. Dynamic forgetting KRLS for online time series prediction.2014 International Symposium on Test Automation and Instrumentation, 2014:433-441.

[C22]. Yeyong Pang, Shaojun Wang, Yu Peng, Nick Fraser, Philip H.W. Leong. A Low Latency Kernel Recursive Least Squares Processor using FPGA Technology. 2013 International Conference on Field-Programmable Technology. 2013:1-8.

[C23]. Datong Liu, Shaojun Wang, Yu Peng, Peng Xiyuan. On-line adaptive data-driven fault prognostics of complex systems. IEEE ATUTOTESTCON 2011, 2011: 166-173.

[C24]. Shaojun Wang, Yu Peng, Guangquan Zhao, Xiyuan Peng. Accelerating On-Line Training of LS-SVM with Run-Time Reconfiguration. 2011 International Conference on Field-Programmable Technology. New Delhi, India. 2011: 1-6.

[C25]. Shaojun Wang, Jia Guo, Qi Liu, Xiyuan Peng. On-Line Traffic Forecasting of Mobile Communication System. First International Conference on Pervasive Computing Signal Processing and Applications (PCSPA 2010), 2010:97-100.

GPUs


NVIDIA Jetson TX1

Xilinx Series - 1


ZedBoard(Zynq SOC)PYNQ VC709(Virtex-7)



Xilinx Series - 2


ML507(Virtex-V)ML510(Virtex-V)

Altera Series


DE2-70(Cyclone III) DE5-NET(Stratix V)

论文
Peer-reviewed Journal Paper

[J1].Liansheng Liu, Shaojun Wang, Datong Liu, Yu Peng. Quantitative Selection of Sensor Data Based on Improved Permutation Entropy for System Remaining Useful Life Prediction. Microelectronics Reliability. Accepted

[J2].Yeyong Pang, Shaojun Wang, Yu Peng. Fully Pipelined Soft Vector Processor as a CPU Accelerator. Chinese Journal of Electronics. Accepted.

[J3].Shaojun Wang, Datong Liu, Jianbao Zhou, Bin Zhang, Yu Peng. A Run-Time Dynamic Reconfigurable Computing System for Lithium-Ion Battery Prognosis. Energies, 2016, 9(8), 572.

[J4].Ning Ma, Shaojun Wang, Yu Peng. A run-time built-in approach of TID test in SRAM based FPGAs[J]. Microelectronic Reliability. 2016(64):42-47.

[J5].Yeyong Pang, Shaojun Wang, Yu Peng, Nick Fraser, and Philip H.W. Leong. A Microcoded Kernel Recursive Least Squares Processor using FPGA Technology. ACM Transactions on Reconfigurable Technology and Systems. 10, 1, Article 5 (September 2016).

[J6].Yongfu He, Shaojun Wang, Wenjuan Wang, Yu Peng, Datong Liu. UAV anomaly detection based on oversampling projection approximation basis pursuit. Chinese Journal of Scientific Instrument, 2016, 37(7):1468-1476.

[J7].Yeyong Pang, Shaojun Wang, Yu Peng, Xiyuan Peng. A Kernel Adaptive Filter Vector Processor for Online Time Series Prediction. Journal of Electronic and Information Technology, 2016, 38(1): 53-62.

[J8].Xiaolu Wang, Shaojun Wang, Datong Liu. Designing Embedded Dual-core System Based on FPGA. Computer Measurement &Control, 2015,23(11):3751-3758

[J9].Liansheng Liu, Shaojun Wang, Datong Liu, Yujie Zhang, Yu Peng. Entropy-based sensor selection for condition monitoring and prognostics of aircraft engine. Microelectronics Reliability, 2015,55(9-10):2092-2096.

[J10].Shaojun Wang, Qirong Zhang, Yu Peng, Xiyuan Peng. Optimal equidistant piecewise linear approximation algorithm for the computation of transcendental functions in FPGA. Chinese Journal of Scientific Instrument. 2014, 35(6):1209-1216.

[J11].Jianbao Zhou, Shaojun Wang, Liping Ma, Zhiyuan Yang, Yu Peng, Xiyuan Peng. A reconfigurable remaining useful life estimation system for satellite lithium-ion battery. Chinese Journal of Scientific Instrument, 2013, 34(9):2034-2044.

[J12].Yu Peng, Xuejie Zhong, Shaojun Wang. Design of Storage Optimization Based on FPGA Linear Equations System. Computer Engineering, 2013, 39(4):287-290.

[J13].Shaojun Wang, Qi Liu, Xuejie Zhong, Xiyuan Peng. An FPGA Implementation for Solving Linear Least Square Problem. Chinese Journal of Scientific Instrument. 2012, 33(3): 701-707.

[J14].Shaojun Wang, Qi Liu, Yu Peng, Xiyuan Peng. CLS-SVM: a local modeling method for time series forecasting. Chinese Journal of Scientific Instrument. 2011,32(8): 1824-1829.

[J15].Yeyong Pang, Shaojun Wang, Xiyuan Peng. Design of remote reconfigurable system based on SOPC. Journal of Electronic Measurement and Instrument, 2010, 24(6): 548-554.

2. Peer-reviewed Conference Paper

[C1]. Mingkun Li, Shaojun Wang, Ning Ma, Yu Peng. SRAM FPGAs Single Event Upsets Detection Method Based on Selective Readback. 2017 Prognostics and System Health Management Conference. Accepted.

[C2]. Shaojun Wang, Xinyu Niu, Ning Ma, Wayne Luk, Philip Leong and Yu Peng. A Scalable Dataflow Accelerator for Real Time Onboard Hyperspectral Image Classification. 12th International Symposium on Applied Reconfigurable Computing(ARC 2016), Mangaratiba, RJ, Brazil, March 22–24, 2016:105-116.

[C3]. Liansheng Liu, Shaojun Wang, Datong Liu, Yu Peng. Quantitative Description of Sensor Data Monotonic Trend for System Degradation Condition Monitoring. 2016 Prognostics and System Health Management Conference, Chengdu, 2016.

[C4]. Wenlai Zhao, Haohuan Fu, Wayne Luk, Teng Yu, Shaojun Wang, Bo Feng, Yuchun Ma and Guangwen Yang. F-CNN: An FPGA-based Framework for Training Convolutional Neural Networks. 2016 IEEE 27th International Conference on Application-specific Systems, Architectures and Processors (ASAP), London, 2016, pp. 107-114.

[C5]. Xinyu Niu, Nicholas Ng, Tomofumi Yuki, Shaojun Wang, Nobuko Yoshida and Wayne Luk. EURECA Compilation: AutomaticOptimization of Cycle-Reconfigurable Circuits. 2016 26th International Conference on Field Programmable Logic and Applications (FPL), Lausanne, 2016, pp. 1-4.

[C6]. Datong Liu, Shaojun Wang, Jing Chen, Jun Zhou, Peng Yu. Anomaly Detection with Improved Similarity Measure for Satellite Telemetry Data. 22nd ISSAT International Conference on Reliability and Quality in Design (RQD 2016), Los Angles, California, USA, Aug. 4-6, 2016.

[C7]. Ning Ma, Shaojun Wang, Syed Mohsin Ali, Xiuhai Cui, Yu Peng. High Efficiency On-board Hyperspectral Image Classification with Zynq SoC. 2016 3rd International Conference on Mechanical, Electronics and Computer Engineering(CMECE 2016)，2016: 1-6.

[C8]. Pang Yeyong, Shaojun Wang, Peng Yu, Philip H.W. Leong. A Vector Processor for Online Battery Capacity Prediction, 12th International Conference on Electronic Measurement & Instruments, ICEMI 2015, Qingdao, China, 2015:254-259 (Best Paper Award)

[C9]. Hanbo Liu, Shaojun Wang, Yigang Zhang. Design of FIR Filter with High Level Synthesis. 12th International Conference on Electronic Measurement & Instruments, ICEMI 2015, Qingdao, China, 2015:1067-1071

[C10]. Yongfu He, Shaojun Wang, Yu Peng, Yeyong Pang, etc.. High Performance Relevance Vector Machine on HMPSoC. 2014 International Conference on Field-Programmable Technology (FPT), 2014:334-337

[C11]. Shaojun Wang, Rigui Yi, Yu Peng. Dynamic forgetting KRLS for online time series prediction.2014 International Symposium on Test Automation and Instrumentation, 2014:433-441.

[C12]. Yeyong Pang, Shaojun Wang, Yu Peng, Nick Fraser, Philip H.W. Leong. A Low Latency Kernel Recursive Least Squares Processor using FPGA Technology. 2013 International Conference on Field-Programmable Technology. 2013:1-8.

[C13]. Datong Liu, Shaojun Wang, Yu Peng, Peng Xiyuan. On-line adaptive data-driven fault prognostics of complex systems. IEEE ATUTOTESTCON 2011, 2011: 166-173.

[C14]. Shaojun Wang, Yu Peng, Guangquan Zhao, Xiyuan Peng. Accelerating On-Line Training of LS-SVM with Run-Time Reconfiguration. 2011 International Conference on Field-Programmable Technology. New Delhi, India. 2011: 1-6.

[C15]. Shaojun Wang, Jia Guo, Qi Liu, Xiyuan Peng. On-Line Traffic Forecasting of Mobile Communication System. First International Conference on Pervasive Computing Signal Processing and Applications (PCSPA 2010),2010:97-100.