王明江 - 哈尔滨工业大学（深圳）

个人简介

教育经历 1995.9~1998.7 博士，复旦大学，电子工程系CAD 1990.9~1993.3 硕士，哈尔滨工业大学，半导体物理与半导体器件物理专业 1986.9~1990.7 学士，哈尔滨工业大学，半导体物理与半导体器件物理专业研究与工作经历 2009.8~现在哈尔滨工业大学（深圳），电子与信息工程学院，教授 2003.9~2009.7 哈尔滨工业大学深圳研究生院，电子与信息工程学院，副教授 2000.12~2003.8 晶门科技（深圳）技术有限公司，高级工程师 1998.8~2000.7 深圳华为技术有限公司，中研基础业务部，高级工程师 1993.4~1995.8 东南大学国家集成电路系统工程技术研究中心，教师科研项目 2014 麦克人耳语音用力助听增强技术的研究（主持） 2015 广东省集成电路设计EDA技术创新支撑平台（联合） 2016 基于微机电系统MEMS的多级震动耦合项目（主持） 2016 存储器抗多位翻转加固设计技术研究（主持） 2017 面向服务机器人的视听感知融合与多模态人机交互关键技术研究（联合） 2018 基于自然语言理解的社会机器人开放式自主学校技术研究 2019 基于神经解码的听觉主要增强技术研究（联合） 2019 可重构神经形态甄良架构的深度学校处理体现结构研究（联合） 2020 桌面级高性能自主可控GPU芯片关键技术研究（联合） 2021 复杂声学实际检测关键技术研究 2021 基于声纹的电信互联网多维综合反诈骗平台关键技术研发（联合） 2021 柔性OLED驱动芯片封装机关键技术研究（联合）

研究领域

（1）基于AI的语音前端采集及处理：基于单MIC/多MIC的增强、去混响、回波抵消等处理技术及前端低功耗实现（2）基于AI的语音前端语音识别：包括声纹识别、低信噪比语音识别、模糊语音识别、增强+识别+语言模型联合处理技术，识别+语言模型+自然语言处理的人工智能认知技术研究，及上述技术前端硬件模块低功耗实现（3）基于AI语音处理技术可解释性及透明性研究（4）嵌入式应用；包括FPGA、ARM平台，嵌入LINUX、ANDROID技术，嵌入式应用开发（5）面向低功耗前端信号采集的芯片设计技术研究，高性能ADC、DAC技术研究，工业控制芯片；主要研究电机数字控制技术及ASIC实现

近期论文

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Lu Zhang，Mingjiang Wang*，Qiquan Zhang，Xinsheng Wang and Ming Liu. PhaseDCN：A Phase-Enhanced Dual-Path Dilated Convolutional Network for Single-Channel Speech Enhancement[J]. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2021, 29: 2561-2574. Yun Lu, Mingjiang Wang*, Longxin Yao, Hongcai Shen, Wanqing Wu, Qiquan Zhang, Lu Zhang, Moran Chen, Hao Liu, Rongchao Peng, Ming Liu, Shixiong Chen: Auditory attention decoding from electroencephalography based on long short-term memory networks[J]. Biomed. Signal Process. Control. 70: 102966 (2021) Tasleem Kausar; Mingjiang Wang*; M. Adnan Ashraf; Adeeba Kausar,SmallMitosis: Small Size Mitotic Cells Detection in Breast Histopathology Images, IEEE Access ( Volume: 9),2021:905-922 W Fu, J Xia, X Lin, M Liu, M Wang*,Low-Latency Hardware Implementation of High-Precision Hyperbolic Functions Sinhx and Coshx Based on Improved CORDIC Algorithm, Electronics 2021, 10(20), 2533 Jincheng Xia , Wenjia Fu , Ming Liu, Mingjiang Wang*, Low-Latency Bit-Accurate Architecture for Configurable Precision Floating-Point Division, Appl. Sci. 2021, 11, 4988 Longxin Yao, Mingjiang Wang*, Yun Lu 2* , Heng Li and Xue Zhang, EEG-Based Emotion Recognition by Exploiting Fused Network Entropy Measures of Complex Networks across Subjects, Entropy 2021, 23, 984. Lu Zhang , Mingjiang Wang*, Qiquan Zhang and Ming Liu, Environmental Attention-Guided Branchy Neural Network for Speech Enhancement, Appl. Sci. 2020, 10, 1167 Yun Lu, Mingjiang Wang*, Wanqing Wu, Yufei Han, Qiquan Zhang, Shixiong Chen. “Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals[J]”, Measurement, 2020, 150: 107003. Yun Lu, Mingjiang Wang*, Wanqing Wu, Qiquan Zhang, Yufei Han, Shixiong Chen, Rongchao Peng. “Entropy-based pattern learning in physiological signals with additive principal components representation[J]”, Complexity, 2020 ,2020: 4625218 Lu Zhang , Mingjiang Wang*, Qiquan Zhang and Ming Liu, Environmental Attention-Guided Branchy Neural Network for Speech Enhancement, Appl. Sci. 2020, 10, 1167 Qiquan Zhang, Aaron Nicolson*, Mingjiang Wang*, Kuldip K. Paliwal, Chenxu Wang. DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation. IEEE/ACM Trans. Audio Speech Lang. Process. 28: 1404-1415 (2020)（SCI） Lu Zhang, Mingjiang Wang*, Muhammad Idrees, Qiquan Zhang. Probability decision-driven speech enhancement algorithm based on human acoustic perception. IET Signal Process. 14(6): 323-332 (2020) （SCI） Qiquan Zhang, Mingjiang Wang*, Yun Lu, Muhammad Idrees, Lu Zhang. Fast Nonstationary Noise Tracking Based on Log-Spectral Power MMSE Estimator and Temporal Recursive Averaging. IEEE Access. 7: 80985-80999 (2019) （SCI） Qiquan Zhang, Mingjiang Wang*, Yun Lu, Lu Zhang, Muhammad Idrees. A novel fast nonstationary noise tracking approach based on MMSE spectral power estimator. Digit. Signal Process. 88: 41-52 (2019) （SCI） Zhen Xu, Chengjie Sun*, Yinong Long, Bingquan Liu, Baoxun Wang, Mingjiang Wang, Min Zhang, and Xiaolong Wang. Dynamic Working Memory for Context-Aware Response Generation. IEEE/ACM Transactions on Audio Speech & Language Processing, 2019, 27(9):1419-1431.（SCI） Yufei Han, Mingjiang Wang*, Ming Liu. An improved variable tap-length algorithm with adaptive parameters. Digit. Signal Process. 74: 111-118 (2018) （SCI） Yun Lu; Mingjiang Wang*; Qiquan Zhang; Yufei Han; Identification of Auditory Object-specific Attention from Single-Trial Electroencephalogram Signals via Entropy Measures and Machine Learning, Entropy, 2018, 20(386):1-16. （SCI） Yun Lu; Mingjiang Wang*; Rongchao Peng; Qiquan Zhang; Accelerating the Computation of Entropy Measures by Exploiting Vectors with Dissimilarity, Entropy, 2017, 19(598): 1-21. （SCI） Variable Tap-Length NLMS Algorithm with Adaptive Parameter ，IEICE T FUND ELECTR，2017 VLSI implementation of the modified sign-error LMS adaptive algorithm [J]. （SCI） Ming Liu, Mingjiang Wang, De Liu. Delay-optimized realization of 2-parallel delayed LMS adaptive FIR filter[J]. IEICE Electronics Express, 2017,( SCI) Boya Zhaoa, Mingjiang Wang, and Ming Liu. An Energy-Efficient Coarse Grained Spatial Architecture for Convolutional Neural Networks AlexNet[J]. IEICE Electronics Express, 2017,( SCI) Weihao Zeng, Ming Liu, Mingjiang Wang. Hearing Environment Recognition in Hearing Aids[C]//Fuzzy Systems and Knowledge Discovery (FSKD) （SCI） “Variable Tap-Length NLMS Algorithm with Adaptive Parameter”, Yufei Han, Mingjiang Wang, Boya Zhao, IEICE T FUND ELECTR, 2017,（SCI） Liu De, Wang Mingjiang. A two-item floating point fused dot-product unit with latency reduced [J]. IEICE Electronics Express, 2016, 13(23): 1-12. (SCI) Ming Liu, Mingjiang Wang, De Liu. VLSI implementation of the modified sign-error LMS adaptive algorithm [J]. IEICE Electronics Express, 2016, (SCI) Liu De, Wang Mingjiang. Delay-optimized floating point fused add-subtract unit [J]. IEICE Electronics Express, 2015, 12(17): 1-10. (SCI) 会议论文及发表演说 Lu Zhang，Mingjiang Wang*. Multi-Scale TCN：Exploring Better Temporal DNN Model for Causal Speech Enhancement[C]. Proceedings of the Annual Conference of the International Speech Communication Association (INTERSPEECH), 2020: 2672-2676. （语音顶会） Lu Zhang，Mingjiang Wang，Andong Li，Zehua Zhang，Xuyi Zhuang. Incorporating Multi-Target in Multi-Stage Speech Enhancement Model for Better Generalization[C]. Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2021. Zehua Zhang, Lu Zhang, Xuyi Zhuang, Yukun Qian, Heng Li, Mingjiang Wang. FB-MSTCN: A Full-Band Single-Channel Speech Enhancement Method Based On Multi-Scale Temporal Convolutional Network.[C] IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022. (已录用) （语音顶会）