基本信息
黄明强 男 硕导 中国科学院深圳先进技术研究院
电子邮件： mq.huang2@siat.ac.cn
通信地址： 广东省深圳市南山区中科院深圳先进院
邮政编码：
电子邮件： mq.huang2@siat.ac.cn
通信地址： 广东省深圳市南山区中科院深圳先进院
邮政编码：
研究领域
集成电路IC设计、微电子技术
招生信息
招生专业
085400-电子信息080903-微电子学与固体电子学
招生方向
集成电路设计微电子器件高能效计算
教育背景
2013-09--2018-06 华中科技大学 博士学位2009-09--2013-06 华中科技大学 学士
工作经历
2019-11--至今 中国科学院深圳先进技术研究院 副研究员
2018-9 -- 2019-11 新加坡南洋理工大学 博士后
出版信息
发表论文
[1] Li, Wenshuo, Chen, Hanting, Huang, Mingqiang, Chen, Xinghao, Xu, Chunjing, Wang, Yunhe. Winograd Algorithm for AdderNet. 2021, http://arxiv.org/abs/2105.05530.[2] Wang, Yunhe, Huang, Mingqiang, Han, Kai, Chen, Hanting, Zhang, Wei, Xu, Chunjing, Tao, Dacheng. AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence. 2021, http://arxiv.org/abs/2101.10015.[3] Huang, Mingqiang, Zhao, Guangchao, Wang, Xingli, Zhang, Wei, Coquet, Philippe, Tay, Beng Kang, Zhong, Gaokuo, Li, Jiangyu. Global-Gate Controlled One-Transistor One-Digital-Memristor Structure for Low-Bit Neural Network. IEEE ELECTRON DEVICE LETTERS[J]. 2021, 42(1): 106-109, https://www.webofscience.com/wos/woscc/full-record/WOS:000603486200026.[4] Zhang, Wei, Pan, Lunshuai, Yan, Xuelong, Zhao, Guangchao, Chen, Hong, Wang, Xingli, Tay, Beng Kang, Zhong, Gaokuo, Li, Jiangyu, Huang, Mingqiang. Hardware-Friendly Stochastic and Adaptive Learning in Memristor Convolutional Neural Networks. ADVANCED INTELLIGENT SYSTEMS[J]. 2021, 3(9): http://dx.doi.org/10.1002/aisy.202100041.[5] Zhong, Gaokuo, Zi, Mengfei, Ren, Chuanlai, Xiao, Qun, Tang, Mingkai, Wei, Liyu, An, Feng, Xie, Shuhong, Wang, Jinbin, Zhong, Xiangli, Huang, Mingqiang, Li, Jiangyu. Flexible electronic synapse enabled by ferroelectric field effect transistor for robust neuromorphic computing. APPLIED PHYSICS LETTERS[J]. 2020, 117(9): http://dx.doi.org/10.1063/5.0013638.[6] Xiong, Xiong, Huang, Mingqiang, Hu, Ben, Li, Xuefei, Liu, Fei, Li, Sichao, Tian, Mengchuan, Li, Tiaoyang, Song, Jian, Wu, Yanqing. A transverse tunnelling field-effect transistor made from a van der Waals heterostructure. NATURE ELECTRONICS[J]. 2020, 3(2): 106-112, https://www.webofscience.com/wos/woscc/full-record/WOS:000510819600001.[7] Mingqiang Huang, Xingli Wang, Guangchao Zhao, Philippe Coquet, Bengkang Tay. Design and Implementation of Ternary Logic Integrated Circuits by Using Novel Two-Dimensional Materials. Applied Sciences[J]. 2019, 9(20): https://doaj.org/article/9deef9f5339e4693900d98739c6e320a.[8] Gao, Tingting, Li, Xuefei, Xiong, Xiong, Huang, Mingqiang, Li, Tiaoyang, Wu, Yanqing. Optimized Transport Properties in Lithium Doped Black Phosphorus Transistors. IEEE ELECTRON DEVICE LETTERS[J]. 2018, 39(5): 769-772, https://www.webofscience.com/wos/woscc/full-record/WOS:000432990700032.[9] Tian Mengchuan, Xiong Xiong, Huang Mingqiang, Li Tiaoyang, Li Shengman, Hu Qianlan, Li Xuefei, Wu Yanqing, Jiang YL, Tang TA, Ye F. High-performance two-dimensional transistors and circuits. 2018 14TH IEEE INTERNATIONAL CONFERENCE ON SOLID-STATE AND INTEGRATED CIRCUIT TECHNOLOGY (ICSICT)null. 2018, 565-568, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000458919700165.[10] Xiong, Xiong, Li, Xuefei, Huang, Mingqiang, Li, Tiaoyang, Gao, Tingting, Wu, Yanqing. High Performance Black Phosphorus Electronic and Photonic Devices with HfLaO Dielectric. IEEE ELECTRON DEVICE LETTERS[J]. 2018, 39(1): 127-130, https://www.webofscience.com/wos/woscc/full-record/WOS:000418874200032.[11] Huang, Mingqiang, Li, Shengman, Zhang, Zhenfeng, Xiong, Xiong, Li, Xuefei, Wu, Yanqing. Multifunctional high-performance van der Waals heterostructures. NATURE NANOTECHNOLOGY[J]. 2017, 12(12): 1148-+, https://www.webofscience.com/wos/woscc/full-record/WOS:000417280400018.[12] Li, Xuefei, Yang, Lingming, Si, Mengwei, Li, Sichao, Huang, Mingqiang, Ye, Peide, Wu, Yanqing. Performance Potential and Limit of MoS2 Transistors. ADVANCED MATERIALS[J]. 2015, 27(9): 1547-+, https://www.webofscience.com/wos/woscc/full-record/WOS:000350541100008.
科研活动
科研项目
（ 1 ） FPGA 卷积神经网络, 主持, 院级, 2020-07--2021-06（ 2 ） 负电容晶体管, 主持, 省级, 2020-01--2021-12（ 3 ） 突触电子器件及其在感知神经网络中的应用, 主持, 省级, 2020-11--2023-11（ 4 ） 忆阻器高能效在线学习方案关键问题研究, 主持, 国家级, 2022-01--2024-12（ 5 ） 1bit神经网络FPGA功耗验证, 主持, 院级, 2022-04--2022-09