杨建磊Jianlei Yang

副教授

副教授  博士生导师  

电子邮箱:

入职时间:2016-09-01

所在单位:计算机学院

职务:Associate Professor

学历:博士研究生

办公地点:北京市海淀区学院路37号北京航空航天大学新主楼B1126

在职信息:在职

个人简介

    杨建磊,博士,副教授,博士生导师。2014年毕业于清华大学计算机科学与技术系获工学博士学位,随后至2016年在美国匹兹堡大学智能进化实验室从事博士后研究。 2016年6月入选北航“卓越百人计划”,2021年入选北航“青年拔尖人才支持计划”,在计算机学院计算新技术研究所、大数据科学与脑机智能高精尖创新中心及费尔北京研究院工作至今。

    研究领域包括:面向深度学习、机器视觉、类脑计算的算法、系统及芯片等。目前在DAC、ICCAD、KDD、ECCV、CIKM、TCAD、TC、TVLSI、TNNLS等高水平国际学术会议或期刊上发表论文60余篇,曾先后获得IBM公司与IEEE/ACM组织举办的TAU 2011供电网络仿真竞赛第一名和TAU 2012瞬态仿真竞赛第二名。2013年荣获IEEE ICCD国际会议最佳论文奖。2015年荣获ACM GLSVLSI国际会议最佳论文提名奖。2017年荣获IEEE ICESS最佳论文奖。2020年荣获ACM SIGKDD最佳学生论文奖。主持国家自然科学基金项目2项、国家重点研发计划2项,参与国家核高基项目以及华为技术合作项目等。

    目前是IEEE高级会员、ACM会员、CCF会员和中国电子学会会员,担任CCF集成电路设计专委执行委员、CCF计算机体系结构专委执行委员CCF容错计算专委执行委员、中国能源研究会电力传感和智能分析专业委员会委员。担任Integration the VLSI(Elsevier)期刊编委。担任DAC、ICCAD、ASP-DAC、GLSVLSI、KDD、AAAI、AICAS等国际学术会议程序委员会委员,担任DAC 2022国际会议PIM Track Co-Chair,担任GLSVLSI 2018/2019国际会议CAD Track Chair,担任FPT 2018国际会议Publication Chair,担任NANOARCH 2021/2022国际会议Special Session Chair,担任TNANO期刊Special Issue的Guest Editors,并作为TCAD、TVLSI、TODAES、TNNLS、JETC等国际学术期刊的审稿人。

    目前承担《计算机组成》、《计算机系统基础》、《计算机科学方法论》、《智能计算体系结构》与《深度学习系统》等课程的教学工作。


    更多信息请见个人主页:http://act.buaa.edu.cn/jianlei


近2年来代表性论文:


Reconfigurable and Dynamically Transformable In-Cache-MPUF System With True Randomness Based on the SOT-MRAM

Zhengyi Hou, Zhaohao Wang, Chao Wang, Min Wang, You Wang, Xueyan Wang, Cenlin Duan, Jianlei Yang

TCAS-I 2022


NAND-SPIN-Based Processing-in-MRAM Architecture for Convolutional Neural Network Acceleration

Yinglin Zhao, Jianlei Yang, Bing Li, Xingzhou Cheng, Xucheng Ye, Xueyan Wang, Xiaotao Jia, Zhaohao Wang, Youguang Zhang, Weisheng Zhao

SCIENCE CHINA Information Sciences (SCIS) 2022


Accelerating Graph Connected Component Computation with Emerging Processing-In-Memory Architecture

Xuhang Chen, Xueyan Wang, Xiaotao Jia, Jianlei Yang, Gang Qu, Weisheng Zhao

TCAD 2022


Eventor: An Efficient Event-Based Monocular Multi-View Stereo Accelerator on FPGA Platform

Mingjun Li, Jianlei Yang, Yingjie Qi, Meng Dong, Yuhao Yang, Runze Liu, Weitao Pan, Bei Yu and Weisheng Zhao

DAC 2022


Triangle Counting Accelerations: From Algorithm to In-Memory Computing Architecture

Xueyan Wang, Jianlei Yang, Yinglin Zhao, Xiaotao Jia, Rong Yin, Xuhang Chen, Gang Qu, Weisheng Zhao

TC 2021


FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update

Junyu Luo, Jianlei Yang, Xucheng Ye, Xin Guo, Weisheng Zhao

CIKM 2021


Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms

Ao Zhou, Jianlei Yang, Yeqi Gao, Tong Qiao, Yingjie Qi, Xiaoyi Wang, Yunli Chen, Pengcheng Dai, Weisheng Zhao, Chunming Hu

RTAS 2021


S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks

Jianlei Yang, Wenzhi Fu, Xingzhou Cheng, Xucheng Ye, Pengcheng Dai, Weisheng Zhao.

TC 2021


Accelerating CNN Training by Pruning Activation Gradients

Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen.

ECCV 2020


TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations

Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang.

KDD 2020 (Best Student Paper Award)


SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training

Pengcheng Dai, Jianlei Yang, Xucheng Ye, Xingzhou Cheng, Junyu Luo, Linghao Song, Yiran Chen and Weisheng Zhao.

DAC 2020


TCIM: Triangle Counting Acceleration With Processing-In-MRAM Architecture

Xueyan Wang, Jianlei Yang, Yinglin Zhao, Yingjie Qi, Meichen Liu, Xingzhou Cheng, Xiaotao Jia, Xiaoming Chen, Gang Qu and Weisheng Zhao.

DAC 2020


eSLAM: An Energy-Efficient Accelerator for Real-Time ORB-SLAM on FPGA Platform

Runze Liu, Jianlei Yang, Yiran Chen, Weisheng Zhao.

DAC 2019


Prototyping federated learning on edge computing systems

Jianlei Yang, Yixiao Duan, Tong Qiao, Huanyu Zhou, Jingyuan Wang, Weisheng Zhao.

accepted by Frontiers of Computer Science (FCS), 2020.


Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization

Xiaotao Jia, Jianlei Yang, Runze Liu, Xueyan Wang, Sorin Dan Cotofana, Weisheng Zhao.

accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.


SPINBIS: Spintronics based Bayesian Inference System with Stochastic Computing

Xiaotao Jia, Jianlei Yang, Pengcheng Dai, Runze Liu, Yiran Chen, Weisheng Zhao.

accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2019.


Exploiting Spin-Orbit Torque Devices as Reconfigurable Logic for Circuit Obfuscation

Jianlei Yang, Xueyan Wang, Qiang Zhou, Zhaohao Wang, Hai Li, Yiran Chen, Weisheng Zhao.

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2019.