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周平强
副院长、副教授、博导
博士毕业院校： 美国明尼苏达大学双城分校
电话： 021-20685084
办公室： 信息学院1A-219室
个人主页： http://faculty.sist.shanghaitech.edu.cn/faculty/zhoupq/
专业方向：
单位：
所属课题组：
研究方向： EDA (集成电路设计自动化)、人工智能芯片、计算机系统架构
招聘主页：
简介
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科研
教学
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主要岗位职责（A角）
兼任岗位职责（B角）
兼任岗位职业（C角）

周平强，信息学院终身副教授、研究员，目前担任信息学院副院长，分管本科生培养工作。

周平强在美国明尼苏达大学获得博士学位（2012）。他曾于2011年在纽约IBM T. J. Watson研究中心实习，2013年在美国明尼苏达大学做博士后，并于2015年在加州大学伯克利分校做访问学者。他主要从事EDA、人工智能驱动的芯片设计、人工智能芯片和计算机系统架构方面的研究工作。他已在TCAD、TVLSI、TCAS-I、TCAS-II、TODAES、DAC、ICCAD等国际一流期刊和会议上发表了七十多篇论文。他是IEEE旗舰期刊TCAS-II的副主编，并先后担任DAC、ICCAD、ASP-DAC、AsianHOST、RISC-V中国峰会、中国国际半导体技术大会等十多个国际学术会议的大会主席、程序委员会主席或委员。

数字集成电路II


Editorial Board: Associate Editor for ACM SIGDA newsletter (2016 - 2021), Associate Editor for IEEE Transactions on Circuits      and Systems II: Express Briefs (2022 - ).

Workshop General/Technical Program Co-Chair: SWEDCS (2016, 2017).

Technical Program Committee (selected): DAC (2017, 2018, 2019), ICCAD (2016, 2017, 2018), ASP-DAC (2018, 2019, 2022, 2023), AsianHOST (TPC/General Chair, 2020, 2021, 2022).

Journal/Conference Paper Refereeing (selected): TCAD, TODAES, TVLSI, TCAS-I, TDPS, DAC, ICCAD.


  • 1. Qu YC(曲原辰);Ma Y(马郁);Zhou PQ(周平强)#, A Speed- and Energy-Driven Holistic Training Framework for Sparse CNN Accelerators, 2023 DESIGN, AUTOMATION AND TEST IN EUROPE CONFERENCE (DATE), Apr 2023,
  • 2. Li, Yang;Zhou, Pingqiang#, Fast and Accurate NoC Latency Estimation for Application-Specific Traffics Via Machine Learning, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II: EXPRESS BRIEFS, 2023, 1-1
  • 3. Zhou, Jindong;Chen, Yuyang;Jing, Youliang;Zhou, Pingqiang#, The study of TSV-induced and strained silicon-enhanced stress in 3D-ICs, INTEGRATION, Jan 2023, 88:196-202
  • 4. Ma, Yu;Zheng, Linfeng;Zhou, Pingqiang#, A Mapping Method Tolerating SAF and Variation for Memristor Crossbar Array Based Neural Network Inference on Edge Devices, ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, 25 Feb 2023, 19(2)
  • 5. Li Y(李扬);Zhou PQ(周平强)#, Fast NoC Router Latency Estimation Using Machine Learning, CHINA SEMICONDUCTOR TECHNOLOGY INTERNATIONAL CONFERENCE (CSTIC), May 2023,
  • 6. Ziwen Li;Yu Ma;Pingqiang Zhou#, A Hybrid Training Framework for Speeding UP the Inference Process of Spiking Neural Networks, CHINA SEMICONDUCTOR TECHNOLOGY INTERNATIONAL CONFERENCE, 2023,
  • 7. Zhang, Huifan;Jing, Youliang;Zhou, Pingqiang#, Machine Learning Based Device Modeling and Performance Optimization for FinFETs, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II: EXPRESS BRIEFS, 23 Nov 2022, 70(4)
  • 8. Liu, Yuan;Dong, Jinxin;Zhou, Pingqiang#, Defending against Adversarial Attacks in Deep Learning with Robust Auxiliary Classifiers Utilizing Bit-plane Slicing, ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, Jul 2022, 18(3)
  • 9. Zhang, Chengrui;Ma, Yu;Zhou, Pingqiang#, Thermal-Aware Layout Optimization and Mapping Methods for Resistive Neuromorphic Engines, PROCEEDINGS OF THE ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE, ASP-DAC, 2022, 2022-January:50-55
  • 10. Qu YC(曲原辰);Wang L(王璐);Zhou PQ(周平强);Xu QF(徐庆富)#, Two-Stage Energy Efficiency Optimization of Switched-Capacitor Converters for IoT Systems, 2022 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), Nov 2022,
  • 11. Jing, Youliang;Zhou, Jindong;Zhou, Pingqiang#, Parasitic Capacitance Modeling of Si-Bulk FinFET-Based pMOS, IEEE TRANSACTIONS ON ELECTRON DEVICES, Oct 2021, 68(10):4819-4825
  • 12. Ma, Yu;Zheng, Linfeng;Zhou, Pingqiang#, Tolerating Stuck-at Fault and Variation in Resistive Edge Inference Engine via Weight Mapping, PROCEEDINGS OF THE ACM GREAT LAKES SYMPOSIUM ON VLSI, GLSVLSI, 22 Jun 2021, 313-318
  • 13. Zhang Chenguang(张晨光);Zhou Pingqiang#, A Quantized Training Framework for Robust and Accurate ReRAM-based Neural Network Accelerators, THE 26TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE (ASP-DAC 2021), Jan 2021, pp. 43 - 48
  • 14. Ma Y(马郁);Zhou PQ(周平强)#, Efficient Techniques for Training the Memristor-based Spiking Neural Networks Targeting Better Speed, Energy and Lifetime, PROCEEDINGS OF THE 26TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE, Jan 2021,
  • 15. Dong, Jinxin;Zhou, Pingqiang#, Detecting Adversarial Examples Utilizing Pixel Value Diversity, 2021 ASIAN HARDWARE ORIENTED SECURITY AND TRUST SYMPOSIUM (ASIANHOST), Dec 2021,
  • 16. Ma, Yu;Zhang, Chengrui;Zhou, Pingqiang#, Efficient Techniques for Extending Service Time for Memristor-based Neural Networks, 2021 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS (APCCAS 2021) & 2021 IEEE CONFERENCE ON POSTGRADUATE RESEARCH IN MICROELECTRONICS AND ELECTRONICS (PRIMEASIA 2021), 2021,
  • 17. Zheng, Linfeng;Zhou, Pingqiang#, Optimizing the Energy Efficiency of Switched-Capacitor Converters in Multiprocessor System-on-Chips with a Preset DVFS Policy, CHINA SEMICONDUCTOR TECHNOLOGY INTERNATIONAL CONFERENCE, 2021,
  • 18. Jindong Zhou;Youliang Jing;Pingqiang Zhou#, The Study of TSV-Induced and Strained Silicon-Enhanced Stress in 3D-IC, CHINA SEMICONDUCTOR TECHNOLOGY INTERNATIONAL CONFERENCE (CSTIC) 2021, Mar 2021,
  • 19. Wang, Leilei;Wang, Lu;Zhuo, Cheng;Zhou, Pingqiang#, Early-Stage Planning of Switched-Capacitor Converters in a Heterogeneous Chip, IEEE ACCESS, 2020, 8:85900-85911
  • 20. Yajun,Yang;Zhang,Chen;Yuan,Liu;Tsung-Yi,Ho;Yier,Jin;Pingqiang,Zhou#, How Secure Is Split Manufacturing in Preventing Hardware Trojan?, ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, Mar 2020, 25(2):1-23
  • 21. Zheng, Linfeng;Zhao, Hui;Gao, Wei;Zhou, Pingqiang#, An Input-Sensitive Dynamic Power Modeling Methodology for AI Chips in Black-Box Form, INTERNATIONAL CONFERENCE ON SOLID-STATE & INTEGRATED CIRCUIT TECHNOLOGY, 2020,
  • 22. Yuan,Liu;Pingqiang,Zhou#, Defending Against Adversarial Attacks in Deep Learning with Robust Auxiliary Classifiers Utilizing Bit Plane Slicing, ASIAN HARDWARE ORIENTED SECURITY AND TRUST SYMPOSIUM (ASIANHOST), Dec 2020,
  • 23. Zhang Chengrui(张呈瑞);Zhou Pingqiang(周平强)#, Improved Hierarchical IR Drop Analysis in Homogeneous Circuits, 2020 IEEE 15TH INTERNATIONAL CONFERENCE ON SOLID-STATE & INTEGRATED CIRCUIT TECHNOLOGY (ICSICT), Nov 2020,
  • 24. Qu YC(曲原辰);Zhou PQ(周平强)#, An improved design of hybrid integrated voltage regulator based on DLDO and SCVR, 2020 IEEE 15TH INTERNATIONAL CONFERENCE ON SOLID-STATE & INTEGRATED CIRCUIT TECHNOLOGY (ICSICT), Dec 2020,
  • 25. Gao, Wei;Zhou, Pingqiang#, Customized High Performance and Energy Efficient Communication Networks for AI Chips, IEEE ACCESS, 2019, 7(99):69434-69446
  • 26. Liu, Yang;Chen, Xiaoming;Kadambi, Dileep;Bari, Ajinkya;Li, Xin;Hu, Shiyan;Zhou, Pingqiang#, Dependable Visual Light-Based Indoor Localization with Automatic Anomaly Detection for Location-Based Service of Mobile Cyber-Physical Systems, ACM TRANSACTIONS ON CYBER-PHYSICAL SYSTEMS, Jan 2019, 3(1)
  • 27. Wang, Lu;Wang, Leilei;Shang, Dejia;Zhuo, Cheng;Zhou, Pingqiang#, Optimizing the Energy Efficiency of Power Supply in Heterogeneous Multicore Chips with Integrated Switched-Capacitor Converters, 2019 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE), 2019, 836-841
  • 28. Gao, Wei;Qian, Zhiliang;Zhou, Pingqiang#, Reliability- and performance-driven mapping for regular 3D NoCs using a novel latency model and Simulated Allocation, INTEGRATION-THE VLSI JOURNAL, Mar 2019, 65:351-361
  • 29. Wang, Leilei;Zhuo, Cheng;Zhou, Pingqiang#, Run-time demand estimation and modulation of on-chip decaps at system level for leakage power reduction in multicore chips, INTEGRATION-THE VLSI JOURNAL, Mar 2019, 65:322-330
  • 30. Cai, Xiangwei;Yin, Jieming;Zhou, Pingqiang#, An orchestrated NoC prioritization mechanism for heterogeneous CPU-GPU systems, INTEGRATION-THE VLSI JOURNAL, Mar 2019, 65:344-350
  • 31. Yu Ma;Dingcheng Jia;Huifan Zhang;Ruoyu Wang;Pingqiang Zhou#, A Compact Memory Structure based on 2T1R Against Single-Event Upset in RRAM Arrays, 2019 IEEE 13TH INTERNATIONAL CONFERENCE ON ASIC (ASICON), Oct 2019, 1-4
  • 32. Yu Ma;Dingcheng Jia;Wei Gao;Pingqiang Zhou#, Addressing Aging Issues in Heterogeneous Three-Dimensional Integrated Circuits, 2019 IEEE 13TH INTERNATIONAL CONFERENCE ON ASIC (ASICON), Oct 2019, 1-4
  • 33. Yu Ma;Linfeng Zheng;Pingqiang Zhou#, CoDRAM: A Novel Near Memory Computing Framework with Computational DRAM, 2019 IEEE 13TH INTERNATIONAL CONFERENCE ON ASIC (ASICON), Oct 2019, 1-4
  • 34. Jia, Dingcheng;Zhou, Pingqiang#, EFFECTIVE ACTIVATING COMPENSATION LOGIC FOR DRAMS IN 3D-ICS, 2019 CHINA SEMICONDUCTOR TECHNOLOGY INTERNATIONAL CONFERENCE (CSTIC), 2019,
  • 35. Li, Yaguang;Zhuo, Cheng;Zhou, Pingqiang#, A Cross-Layer Framework for Temporal Power and Supply Noise Prediction, IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2018, PP(99):1
  • 36. Yaguang Li;Cheng Zhuo;Zhou PQ(周平强)#, A system level framework for on-line supply noise prediction, THE ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE, 2018,
  • 37. Zhang, Jiuxin;Zhou, Pingqiang#, Integrating Low-Resolution Surveillance Camera and Smartphone Inertial Sensors for Indoor Positioning, 2018 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2018, 410-416
  • 38. Leilei Wang;Pingqiang Zhou#, An improved leakage-driven runtime decap modulation algorithm for microprocessors, 2018 CHINA SEMICONDUCTOR TECHNOLOGY INTERNATIONAL CONFERENCE (CSTIC), Mar 2018, 1-3
  • 39. Liu, Xiaochen;Sun, Shupeng;Li, Xin;Qian, Haifeng;Zhou, Pingqiang#, Machine Learning for Noise Sensor Placement and Full-Chip Voltage Emergency Detection, IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, Mar 2017, 36(3):421-434
  • 40. Li, Yaguang;Zhuo, Cheng;Zhou PQ(周平强)#, A system level framework for online supply noise prediction, INTERNATIONAL WORKSHOP ON DESIGN AUTOMATION FOR ANALOG AND MIXED-SIGNAL CIRCUITS, 2017,
  • 41. Li, Yaguang;Zhou, Pingqiang#, An Outlier Detection Method and its Application to Multicore-Chip Power Estimation, 2017 IEEE 12TH INTERNATIONAL CONFERENCE ON ASIC (ASICON), 2017, 2017-October:460-463
  • 42. Zhou PQ(周平强);Liao, Kai#, A study about task-based DVFS policy, PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN AND COMPUTER GRAPHICS, 2016,
  • 43. Zhou, Pingqiang#, Design and CAD of Noise Sensors for On-Die Supply Voltage Emergency Detection, 2016 13TH IEEE INTERNATIONAL CONFERENCE ON SOLID-STATE AND INTEGRATED CIRCUIT TECHNOLOGY (ICSICT), 2016, 593-596
  • 44. Wang, Leilei;Zhou, Pingqiang#, LEAKAGE POWER REDUCTION IN MULTICORE CHIPS VIA ONLINE DECAP MODULATION, 2016 CHINA SEMICONDUCTOR TECHNOLOGY INTERNATIONAL CONFERENCE (CSTIC), 2016,
  • 45. Zhou, Pingqiang;Paul, Ayan;Kim, Chris H.;Sapatnekar, Sachin S.#, Distributed On-Chip Switched-Capacitor DC-DC Converters Supporting DVFS in Multicore Systems, IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, Sep 2014, 22(9):1954-1967
  • 46. Zhou, Pingqiang#, DESIGN AND OPTIMIZATION OF ON-CHIP VOLTAGE REGULATORS FOR HIGH PERFORMANCE APPLICATIONS, 2014 12TH IEEE INTERNATIONAL CONFERENCE ON SOLID-STATE AND INTEGRATED CIRCUIT TECHNOLOGY (ICSICT), 2014,
  • 47. Liu, Xiaochen;Sun, Shupeng;Zhou, Pingqiang;Li, Xin;Qian, Haifeng#, A Statistical Methodology for Noise Sensor Placement and Full-Chip Voltage Map Generation, 2015 52ND ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2015, 2015-June
  • 48. Ma, Yu;Zhou, Pingqiang#, Efficient Techniques for Training the Memristor-based Spiking Neural Networks Targeting Better Speed, Energy and Lifetime, PROCEEDINGS OF THE ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE, ASP-DAC, 18 Jan 2021, 390-395
  • 49. Rao, Chaolin;Wu, Qing;Zhou, Pingqiang;Yu, Jingyi;Zhang, Yuyao;Lou, Xin#, An Energy-Efficient Accelerator for Medical Image Reconstruction From Implicit Neural Representation, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 01 Dec 2022,
  • 50. Zhang, Chenguang;Zhou, Pingqiang#, A Quantized Training Framework for Robust and Accurate ReRAM-based Neural Network Accelerators, PROCEEDINGS OF THE ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE, ASP-DAC, 18 Jan 2021, 43-48
  • 51. Li Y(李扬);Zhou PQ(周平强)#, Fast and Accurate NoC Latency Estimation for Application-Specific Traffics Using Machine Learning, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II: EXPRESS BRIEFS, May 2023,
  • 52. Zhang, Huifan;Jing, Youliang;Zhou, Pingqiang#, Machine Learning-Based Device Modeling and Performance Optimization for FinFETs, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II: EXPRESS BRIEFS, 01 Apr 2023, 70(4):1585-1589