基本信息

王颖  男  硕导  中国科学院计算技术研究所
电子邮件: wangying2009@ict.ac.cn
通信地址: 北京市海淀区中关村科学院南路6号
邮政编码: 100190

更多信息请前往:https://wangying-ict.github.io/

研究领域

计算机体系结构,物端智能系统,存储器设计,智能硬件,芯片设计

My research is primarily concerned with the challenges of VLSI design, electronic design automation, computer architecture, and their interaction. These challenges essentially arise from the scaling bottleneck of “memory wall” and “power wall” faced by traditional design paradigms or implementation technology. The potential solution to these challenges, i.e. a basic principle of my research, is possibly that architecture or circuit design must put more emphasis on the optimization of data movement across the whole stack, and be ready for the shift to data-centric design philosophy. The current system, specifically the memory and interconnects sub-system, must be reshaped by two irreversible forces of different directions: emerging physical implementation technologies such as NVM and 3D-ICs, and explosion of innovative applications such as machine learning, big data and in-memory computing.

招生信息

对处理器芯片设计,操作系统,边缘人工智能系统搭建感兴趣,喜欢玩开发板,喜欢搭建系统的同学请联系我。

希望把自己的科研工作传播影响到更多的人,愿意参与顶级学术会议与全世界顶尖科学家合作交流的同学也请联系我。

招生专业
081201-计算机系统结构
080903-微电子学与固体电子学
招生方向
计算机体系结构, 物端智能系统
集成电路设计
智能硬件

教育背景

2011-10--2013-10   卡耐基梅隆大学   联合培养
2009-07--2014-07   中国科学院大学   博士
2003-09--2009-07   哈尔滨工业大学   本科、硕士

工作经历

2017年至今 中国科学院计算技术研究所副研究员

教授课程

数字电路

专利与奖励

发表重要国际期刊和会议论文60余篇,专利授权10余项。

获得2016 IEEE Rebooting 低功耗图像识别竞赛冠军

获得2018 IEEE DAC system design contest 低功耗物体追踪竞赛冠军

奖励信息
(1) 中国科协青年人才托举计划, 部委级, 2017
(2) 中国科学院青年创新促进会, 其他, 2017
(3) 计算机协会青年人才, 其他, 2017
(4) CCF-Intel青年人才奖, 其他, 2017

出版信息

   
发表论文
[1] Zou Kaiwei, Wang Ying, Cheng Long, Qu Songyun, Li Huawei, Li Xiaowei. CAP: Communication-aware Automated Parallelization for Deep Learning Inference on CMP Architectures. IEEE TRANSACTIONS ON COMPUTERS[J]. 2022, 71(7): 1626-1639, [2] He Yintao, Wang Ying, Li Huawei, Li Xiaowei. Saving Energy of RRAM-based Neural Accelerator through State-Aware Computing. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS[J]. 2022, 41(7): 2115-2127, [3] Liang, Shengwen, Wang, Ying, Liu, Cheng, He, Lei, Li, Huawei, Xu, Dawen, Li, Xiaowei. EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks. IEEE TRANSACTIONS ON COMPUTERS[J]. 2021, 70(9): 1511-1525, [4] 王颖. An Automated Quantization Framework for High-utilization RRAM-based PIM. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2021, [5] Cheng, Long, Wang, Ying, Liu, Qingzhi, Epema, Dick H J, Liu, Cheng, Mao, Ying, Murphy, John. Network-Aware Locality Scheduling for Distributed Data Operators in Data Centers. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS[J]. 2021, 32(6): 1494-1510, http://dx.doi.org/10.1109/TPDS.2021.3053241.
[6] Cheng, Yun, Li, Huawei, Wang, Ying, Li, Xiaowei. Cluster Restoration-Based Trace Signal Selection for Post-Silicon Debug. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS[J]. 2019, 38(4): 767-779, http://dx.doi.org/10.1109/TCAD.2018.2818690.
[7] Wang, Ying, Li, Huawei, Cheng, Long, Li, Xiaowei. A QoS-QoR Aware CNN Accelerator Design Approach. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS[J]. 2019, 38(11): 1995-2007, http://dx.doi.org/10.1109/TCAD.2018.2877010.
[8] Shi, Cong, Li, Jiajun, Wang, Ying, Luo, Gang. Exploiting Lightweight Statistical Learning for Event-Based Vision Processing. IEEE ACCESS[J]. 2018, 6: 19396-19406, https://doaj.org/article/5c6584ce90a8465db22b57429190df95.
[9] 王颖. Resilience-Aware Frequency Tuning for Neural-Network based Approximate Computing Chips. IEEE Transactions on Very Large Scaled Integration Systems. 2018, [10] 王颖. A Low Overhead In-Network Data Compressor for the Memory Hierarchicy of Chip Multi-Processors. IEEETRANSACTIONSONCOMPUTERAIDEDDESIGNOFINTEGRATEDCIRCUITSANDSYSTEMS. 2018, [11] Lian Shiqi, Han Yinhe, Chen Xiaoming, Wang Ying, Xiao Hang, IEEE. Dadu-P: A Scalable Accelerator for Robot Motion Planning in a Dynamic Environment. 2018 55TH ACM/ESDA/IEEE DESIGN AUTOMATION CONFERENCE (DAC)null. 2018, http://dx.doi.org/10.1145/3195970.3196020.
[12] Wang, Ying, Quan, Zhenyu, Li, Jiajun, Han, Yinhe, Li, Huawei, Li, Xiaowei, IEEE. A Retrospective Evaluation of Energy-Efficient Object Detection Solutions on Embedded Devices. PROCEEDINGSOFTHE2018DESIGNAUTOMATIONTESTINEUROPECONFERENCEEXHIBITIONDATEnull. 2018, 709-714, [13] Cheng, Yun, Li, Huawei, Wang, Ying, Shen, Haihua, Liu, Bo, Li, Xiaowei. On Trace Buffer Reuse-Based Trigger Generation in Post-Silicon Debug. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS[J]. 2018, 37(10): 2166-2179, https://www.webofscience.com/wos/woscc/full-record/WOS:000445264200020.
[14] 王颖. A Case of On-chip memory Sub-system Design for Low-Power Machine Learning Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2018, [15] Wang, Ying, Han, YinHe, Wang, Cheng, Li, Huawei, Li, Xiaowei. Retention-Aware DRAM Assembly and Repair for Future FGR Memories. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS[J]. 2017, 36(5): 705-718, [16] Li Huawei. Approximate STT-RAM Buffer Design for General Purpose Neural Network Accelerator. IEEE Transactions on Very Large Scaled Integration Systems. 2017, 

科研活动

曾担任IEEE Coolchips,GLVLSI,ATS等国际会议program committee menber,ISCA,DAC,HPCA,IEEE Trans. on CAD, TC, TVLSI, VLSI integration, ACM TODAES, ACM JETC 等会议期刊审稿人

科研项目
( 1 ) 三维堆叠DRAM的低功耗刷新技术研究, 主持, 国家级, 2016-01--2018-12
( 2 ) CCF-Intel青年人才项目, 主持, 研究所(学校), 2017-01--2018-01
( 3 ) 差错容忍计算器件基础理论与方法, 参与, 国家级, 2018-01--2019-12
( 4 ) 面向大数据应用的近数据主动式存储器, 主持, 市地级, 2018-01--2018-12
参与会议
(1)Real-Time meets Approximate Computing: An Elastic Deep Learning Accelerator Design with Adaptive Trade-off between QoS and QoR   2017-06-14
(2)CNN-based object detection solutions for embedded heterogeneous multi-core SoCs   2017-01-06
(3)Rearchitecting the on-chip Memory subsystem of machine learning accelerator for embedded devices   2016-12-08

合作情况

与来自 卡耐基梅隆大学Safari Group,Purdue大学,Harvard大学 薛西斯医学院,南洋理工大学,合肥工业大学的研究小组 保持长期合作关系


指导学生

   
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