杨建磊，博士，副教授，博士生导师，国家级青年人才。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年入选北航“卓越百人计划”，2024年入选国家级青年人才计划，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：智能计算系统、机器学习系统、大模型计算加速、高能效智能芯片、存内计算芯片等。目前在DAC、ICCAD、KDD、ICCV、ECCV、CIKM、TCAD、TC、TVLSI、TNNLS等高水平国际学术会议或期刊上发表论文100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。2022年荣获ACM NANOARCH杰出组织贡献奖。2022年获华为公司挑战性技术难题“火花奖”。主持国家自然科学基金项目2项、国家重点研发计划2项、北京市自然科学基金-小米联合基金项目1项、CCF-腾讯犀牛鸟基金、CCF-百度松果基金、CCF-蚂蚁绿色计算基金等，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高级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 2019国际会议Publication Chair，担任NANOARCH 2021/2022国际会议Special Session Chair，担任2022年及2023年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。

招生：团队招收2025级博士生2名、硕士生3名。研究方向：机器学习系统、大模型计算、存内计算、隐私计算芯片架构等。

如有意申请，请提供个人简历与意向说明。联系方式：jianlei@buaa.edu.cn

课题组长期招募本科实习生，近年来组内多名同学通过科研实习发表高水平学术论文并赴国内外顶尖学校继续读研，其中包括：3名同学曾以第一作者身份发表CCF A高水平学术论文（付文智、刘润泽、李明峻），1名本科生发表论文荣获ACM SIGKDD（CCF A）最佳学生论文奖（段逸骁），1名本科生荣获北航沈元奖章（罗钧宇），1名本科生荣获北京市优秀本科毕业设计论文奖（田韵豪），1名硕士生荣获北航优秀硕士论文奖（程星洲），1名硕士生荣获北京市优秀毕业生称号（李旭峰），课题组多名同学科研实习发表高水平论文并赴国内外顶尖学校继续攻读研究生学位（清华、北大、CMU、南加州大学、剑桥大学、爱丁堡大学、滑铁卢大学、香港中文大学、南洋理工大学等）。

近年来的代表性论文：

Towards Efficient SRAM-PIM Architecture Design by Exploiting Unstructured Bit-Level Sparsity

Cenlin Duan, Jianlei Yang, Yiou Wang, Yikun Wang, Yingjie Qi, Xiaolin He, Bonan Yan, Xueyan Wang, Xiaotao Jia and Weisheng Zhao

DAC 2024 (CCF A)

Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems

Ao Zhou, Jianlei Yang, Tong Qiao, Yingjie Qi, Zhi Yang, Weisheng Zhao and Chunming Hu

DAC 2024 (CCF A)

GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration

Tong Qiao, Jianlei Yang, Yingjie Qi, Ao Zhou, Chen Bai, Bei Yu, Weisheng Zhao and Chunming Hu

DAC 2024 (CCF A)

WinoGen: A Highly Configurable Winograd Convolution IP Generator for Efficient CNN Acceleration on FPGA

Mingjun Li, Pengjia Li, Shuo Yin, Shixin Chen, Beichen Li, Chong Tong, Jianlei Yang, Tinghuan Chen and Bei Yu

DAC 2024 (CCF A)

An Energy-Efficient Bayesian Neural Network Implementation Using Stochastic Computing Method

Cenlin Duan, Jianlei Yang, Yiou Wang, Yikun Wang, Yingjie Qi, Xiaolin He, Bonan Yan, Xueyan Wang, Xiaotao Jia and Weisheng Zhao

TNNLS 2024 (JCR Q1)

Architectural Implications of GNN Aggregation Programming Abstractions

Yingjie Qi, Jianlei Yang, Ao Zhou, Tong Qiao, Chunming Hu

IEEE Computer Architecture Letters (CAL) 2024

DDC-PIM: Efficient Algorithm/Architecture Co-design for Doubling Data Capacity of SRAM-based Processing-In-Memory

Cenlin Duan, Jianlei Yang, Xiaolin He, Yingjie Qi, Yikun Wang, Yiou Wang, Ziyan He, Bonan Yan, Xueyan Wang, Xiaotao Jia, Weitao Pan, Weisheng Zhao

TCAD 2024 (CCF A)

Lossy and Lossless (L^2) Post-training Model Size Compression

Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang

ICCV 2023 (CCF A)

Graph Algorithm Optimization for Spintronics-Based In-Memory Computing Architecture

Xueyan WANG, Xuhang CHEN, Xiaotao JIA, Jianlei YANG, Gang QU, Weisheng ZHAO

电子与信息学报 2023

2D material property characterizations by machine-learning-assisted microscopies

Zhizhong Si, Daming Zhou, Jianlei Yang, Xiaoyang Lin

Applied Physics A 2023

Hardware-Aware Graph Neural Network Automated Design for Edge Computing Platforms

Ao Zhou, Jianlei Yang, Yingjie Qi, Yumeng Shi, Tong Qiao, Weisheng Zhao, Chunming Hu

DAC 2023 (CCF A)

IMGA: Efficient In-Memory Graph Convolution Network Aggregation with Data Flow Optimizations

Yuntao Wei, Xueyan Wang, Shangtong Zhang, Jianlei Yang, Xiaotao Jia, Zhaohao Wang, Gang Qu, Weisheng Zhao

TCAD 2023 (CCF A)

An Energy Efficient Bayesian Neural Network Implementation using Stochastic Computing Method

Xiaotao Jia, Huiyi Gu, Yuhao Liu, Jianlei Yang, Xueyan Wang, Weitao Pan, Youguang Zhang, Sorin Cotofana, Weisheng Zhao

TNNLS 2023 (JCR Q1)

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

SCIS 2023 (CCF A)

S2Engine: A Novel Systolic Architecture for Sparse Convolutional Neural Networks

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

TC 2022 (CCF A)

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 (JCR Q1)

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 (CCF A)

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 (CCF A)

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 2022 (CCF A)

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

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

CIKM 2021 (CCF B)

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 (CCF B)

Accelerating CNN Training by Pruning Activation Gradients

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

ECCV 2020 (CCF B)

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

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

KDD 2020 (CCF A) (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 (CCF A)

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 (CCF A)

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

Runze Liu, Jianlei Yang, Yiran Chen, Weisheng Zhao

DAC 2019 (CCF A)

Prototyping federated learning on edge computing systems

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

FCS 2020 (CCF B)

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

TNNLS 2020 (JCR Q1)

SPINBIS: Spintronics based Bayesian Inference System with Stochastic Computing

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

TCAD 2019 (CCF A)

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

TCAD 2019 (CCF A)