王雪岩,北航集成电路科学与工程学院助理教授，入选第九届中国科协“青年人才托举工程”。

于2013年获得山东大学计算机科学与技术系学士学位，获“优秀毕业生”称号，并保送至清华大学计算机科学与技术系直博，于2018年获得工学博士学位，读博期间在美国马里兰大学帕克分校联合培养一年。2018年获批北航“卓越百人”博士后，2021年入职北航集成电路科学与工程学院教研系列助理教授。

王雪岩在软硬件协同加速设计、存内计算架构与芯片设计、芯片安全等领域开展研究，提出的基于自旋存内计算架构的三角形计数图算法加速器，相比于传统冯诺依曼架构下FPGA/GPU等计算平台的加速方案速度和能效提升了一个数量级。以第一/通讯作者身份在顶级学术会议和期刊，如IEEE TC、ACM/IEEE DAC、IEEE TCAD等，发表论文20余篇，参与撰写专著教材3部（《自旋电子科学与技术》、《集成电路设计自动化》、《Hardware Protection through Obfuscation》）。

她是CCF高级会员，ACM/IEEE会员，担任中国计算机学会集成电路设计专委和容错计算专委的执行委员，受邀担任首届CCFDAC的出版主席（Publication Chair），以及IEEE DATE 2024/2023/2022、ACM/IEEE ASP-DAC 2022/2021/2020、IEEE SOCC 2023/2022/2021/2020、ACM GLSVLSI 2020等学术会议的程序委员会（TPC）委员，ACM/IEEE ASP-DAC 2022/2020、CFTC 2019 等分论坛主席，担任ACM TODAES、IEEE TCAD、IEEE TNANO、DATE等会议和期刊审稿人。她在IEEE SOCC 2021国际会议上作tutorial报告，在ACM/IEEE DAC、ACM/IEEE ASP-DAC、ACM GLSVLSI、IEEE ISCAS等国际会议上作口头报告等。

讲授本科生课程“计算机组成与系统结构”、研究生课程“集成电路安全”（领航华为实践课程）、“现代微纳电子学”（获评“北京市高校研究生课程思政示范课程”,校级研究生精品课程，本人获“北京市课程思政教学名师”称号）。获评集成电路学院优秀班主任、优秀共产党员等。指导学生获得全国大学生集成电路创新创业大赛全国二等奖等奖项、全国微电子研究生学术论坛优秀论文奖等，本人获“优秀指导教师”称号。

主持了国家自然科学基金青年基金、CCF-蚂蚁科研基金软硬件协同专项、北航前沿交叉基金、全国重点实验室开放课题等项目，作为核心成员参与国家级重点项目、华为技术合作项目等。

欢迎自驱力强、并对智能计算系统、软硬件协同加速设计、存算一体架构与芯片、芯片安全等方向感兴趣的同学加入我们的课题组！联系邮箱：wangxueyan@buaa.edu.cn

代表性论文：

第一/通讯作者：

1. X. Ma et al., "A Combined Content Addressable Memory and In-Memory Processing Approach for k-Clique Counting Acceleration," accepted by 2024 ACM/IEEE Design Automation Conference (DAC). (通讯作者，CCF A 类、集成电路设计自动化领域顶级会议)

2. Y. Wei et al., "PPGNN: Fast and Accurate Privacy-Preserving Graph Neural Network Inference via Parallel and Pipelined Arithmetic-and-Logic FHE Accelerator," accepted by 2024 ACM/IEEE Design Automation Conference (DAC). (通讯作者，CCF A 类、集成电路设计自动化领域顶级会议)
   

3. Y. Li et al., "APIM: An Antiferromagnetic MRAM-Based Processing-In-Memory System for Efficient Bit-level Operations of Quantized Convolutional Neural Networks," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, doi: 10.1109/TCAD.2024.3372453. (通讯作者，CCF A类、集成电路设计自动化领域顶级期刊)

4. Y. Li et al., "Toward Energy Efficient STT-MRAM-based Near Memory Computing Architecture for Embedded Systems," accepted by 2024 ACM Transactions on Embedded Computing Systems (通讯作者，嵌入式计算系统领域顶级期刊)

5. Y. Wei, X. Wang, S. Bian, W. Zhao, Y. Jin, "THE-V: Verifiable Privacy-Preserving Neural Network via Trusted Homomorphic Execution", in 2023 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).（通讯作者，集成电路设计自动化领域顶级会议）

6. Z. Lu, X. Wang, et al., "An RRAM-Based Computing-in-Memory Architecture and Its Application in Accelerating Transformer Inference," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, doi: 10.1109/TVLSI.2023.3345651.（通讯作者，集成电路设计自动化领域顶级期刊）

7. WANG Xueyan, CHEN Xuhang, JIA Xiaotao, YANG Jianlei, QU Gang, ZHAO Weisheng. Graph Algorithm Optimization for Spintronics-based In-memory Computing Architecture[J]. Journal of Electronics & Information Technology, 2023, 45(9): 3193-3199. doi: 10.11999/JEIT230371（获得“优秀推荐文章”）
   

8. Y. Wei, X. Wang, S. Zhang, J. Yang, X. Jia, Z. Wang, G. Qu, W. Zhao, "IMGA: Efficient In-Memory Graph Convolution Network Aggregation with Data Flow Optimizations", in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), doi: 10.1109/TCAD.2023.3288509. (通讯作者，CCF A类期刊)

9. X. Chen, X. Wang, X. Jia, J. Yang, G. Qu, W. Zhao, "Accelerating Graph Connected Component Computation with Emerging Processing-In-Memory Architecture", in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 41(12): 5333-5342, 2022. (通讯作者，CCF A类期刊)

10. L. Yue, H. Zhang, X. Wang, H. Cai, Y. Zhang, S. Lv, R. Liu, W. Zhao, "Toward Energy-Efficient Sparse Matrix-Vector Multiplication with Near STT-MRAM Computing Architecture," 2023 28th Asia and South Pacific Design Automation Conference (ASP-DAC), Tokyo, Japan, 2023, pp. 222-227. (通讯作者，EDA领域著名会议)
    

11. X. Wang, J. Yang, Y. Zhao, X. Jia, R. Yin, X. Chen, G. Qu, W. Zhao, "Triangle Counting Accelerations: From Algorithm to In-Memory Computing Architecture," in IEEE Transactions on Computers (TC), 71(10): 2462-2472, 2022. (CCF A类期刊)

12. X. Wang, J. Yang, Y. Zhao, Y. Qi, M. Liu, X. Cheng, X. Jia, X. Chen, G. Qu, and W. Zhao. Tcim: Triangle counting acceleration with processing-in-mram architecture. In 2020 57th ACM/IEEE Design Automation Conference (DAC), pages 1–6. IEEE, 2020. (CCF A 类，EDA领域最高会议，获得“最佳论文候选”)

13. X. Wang, Q. Zhou, Y. Cai, and G. Qu. Toward a formal and quantitative evaluation framework for circuit obfuscation methods. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 38(10):1844–1857, 2019. (CCF A类期刊)

14. X. Wang, J. Yang, Y. Zhao, X. Jia, G. Qu, and W. Zhao. Hardware security in spin-based computing-in-memory: Analysis, exploits, and mitigation techniques. ACM Journal on Emerging Technologies in Computing Systems (JETC), 16(4):1–18, 2020.

15. X. Wang, Q. Zhou, Y. Cai, and G. Qu. Parallelizing sat-based de-camouflaging attacks by circuit partitioning and conflict avoiding. Integration, 67:108–120, 2019.

16. X. Wang, Q. Zhou, Y. Cai, and G. Qu. A conflict-free approach for parallelizing sat-based de-camouflaging attacks. In 2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), pages 259–264. IEEE, 2018. (接收率：32%)

17. X. Wang, Q. Zhou, Y. Cai, and G. Qu. Spear and shield: Evolution of integrated circuit camouflaging. Journal of Computer Science and Technology (JCST), 33(1):42–57, 2018. (CCF B类期刊)

18. X. Wang, M. Gao, Q. Zhou, Y. Cai, and G. Qu. Gate camouflaging-based obfuscation. In Hardware Protection through Obfuscation, pages 89–102. Springer, 2017. (专著)

19. X. Wang, Q. Zhou, Y. Cai, and G. Qu. An empirical study on gate camouflaging methods against circuit partition attack. In Proceedings of the on Great Lakes Symposium on VLSI (GLSVLSI), pages 345–350, 2017. (接收率：24%)

20. X. Wang, Y. Cai, and Q. Zhou. Cell spreading optimization for force-directed global placers. In 2017 IEEE International Symposium on Circuits and Systems (ISCAS), pages 1–4. IEEE, 2017.

21. X. Wang, X. Jia, Q. Zhou, Y. Cai, J. Yang, M. Gao, and G. Qu. Secure and low-overhead circuit obfuscation technique with multiplexers. In 2016 International Great Lakes Symposium on VLSI (GLSVLSI), pages 133–136. IEEE, 2016. (接收率：25%)

22. X. Wang,, Q. Zhou, Y. Cai, and G. Qu. Is the secure ic camouflaging really secure? In 2016 IEEE International Symposium on Circuits and Systems (ISCAS), pages 1710–1713. IEEE, 2016.

部分其他论文：

1. C. Duan et al., "DDC-PIM: Efficient Algorithm/Architecture Co-design for Doubling Data Capacity of SRAM-Based Processing-In-Memory," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, doi: 10.1109/TCAD.2023.3330819.

2. H. Gu et al., "CiM-BNN:Computing-in-MRAM Architecture for Stochastic Computing Based Bayesian Neural Network," in IEEE Transactions on Emerging Topics in Computing, doi: 10.1109/TETC.2023.3317136.

3. X. Jia et al., "An Energy-Efficient Bayesian Neural Network Implementation Using Stochastic Computing Method," in IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2023.3265533.
   

4. X. Jia, H. Gu, Y. Liu, J. Yang, X. Wang, W. Pan, Y. Zhang, S. D. Cotofana, and W. Zhao, An Energy-Efficient Bayesian Neural Network Implementation Using Stochastic Computing Method, in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), doi: 10.1109/TNNLS.2023.3265533.

5. X. Jia, J. Yang, R. Liu, X. Wang, S. D. Cotofana, and W. Zhao. Efficient computation reduction in bayesian neural networks through feature decomposition and memorization. IEEE transactions on neural networks and learning systems (TNNLS), 32(4):1703–1712, 2020.

6. Y. Pan, X. Jia, Z. Cheng, P. Ouyang, X. Wang, J. Yang, and W. Zhao. An stt-mram based reconfigurable computing-in-memory architecture for general purpose computing. CCF Transactions on High Performance Computing, 2(3):272–281, 2020.

7. Y. Zhao, J. Yang, X. Jia, X. Wang, Z. Wang, W. Kang, Y. Zhang, and W. Zhao. Exploiting near-memory processing architectures for bayesian neural networks acceleration. In 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), pages 203–206. IEEE, 2019.

8. J. Yang, X. Wang, Q. Zhou, Z. Wang, H. Li, Y. Chen, and W. Zhao. Exploiting spin-orbit torque devices as reconfigurable logic for circuit obfuscation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 38(1):57–69, 2018.

9. S. Jiang, N. Xu, X. Wang, and Q. Zhou. An efficient technique to reverse engineer minterm protection based camouflaged circuit. Journal of Computer Science and Technology (JCST), 33(5):998–1006, 2018.

10. Q. Zhou, X. Wang, Z. Qi, Z. Chen, Q. Zhou, and Y. Cai. An accurate detailed routing routability prediction model in placement. In 2015 6th Asia Symposium on Quality Electronic Design (ASQED), pages 119–122. IEEE, 2015.

• [1]. 2013.9 -- 2018.7

  清华大学       计算机科学与技术       博士研究生毕业       工学博士学位

• [2]. 2015.2 -- 2016.2

  University of Maryland, College Park       电子与计算机工程       其他       无

• [3]. 2009.9 -- 2013.7

  山东大学       计算机科学与技术       大学本科毕业       工学学士学位

• [1]. 2021.10 -- 至今

  北京航空航天大学      集成电路科学与工程学院      助理教授

• [2]. 2018.11 -- 2021.10

  北京航空航天大学      集成电路科学与工程学院      “卓越百人”博士后

• [1] 智能计算系统
• [2] 软硬件协同设计与加速
• [3] 存算一体架构与芯片设计
• [4] 芯片安全