英文期刊论文(SCI分区为发表当年的中科院分区):

  • Z. Wang, S. Ye, H. Wang, J. He, Q. Huang and S. Chang*, “Machine learning method for tight-binding Hamiltonian parameterization from ab-initio band structure,” npj Computational Materials, Vol. 7, No.11, DOI: 10.1038/s41524-020-00490-5, 2021.(SCI一区)

  • R. Zhu, Z. Tang, S. Ye, Q. Huang, L. Guo and S. Chang*, “Memristor-Based Image Enhancement: High Efficiency and Robustness,” IEEE Transactions on Electron Devices, Vol.26, No.2, pp.602-609, 2021. (SCI二区)

  • S. Ye, H. Wang, M. Qiu, Y. Zeng, Q. Huang, J. He and S. Chang*, “Reconstruction of the Symmetry between Sublattices: A Strategy to Improve the Transport Properties of Edge-defective Graphene Nanoribbon Transistor,” Physical Chemistry Chemical Physics, Vol.22, 18265-18271, 2020. (SCI二区)

  • R. Hu, Z. Tang, X. Song, J. Luo, E. Q. Wu and S. Chang*, “Ensemble Echo Network with Deep Architecture for Time-Series Modelling,” Neural Computing undefinedamp; Applications, DOI: 10.1007/s00521-020-05286-8, (published online) (SCI二区)

  • Z. Tang, R. Zhu, R. Hu, Y. Chen, E.Q. Wu, H. Wang, J. He, Q. Huang and S. Chang*, “A Multilayer Neural Network Merging Image Preprocessing and Pattern Recognition by Integrating Diffusion and Drift Memristors,” IEEE Transactions on Cognitive and Developmental Systems, (early access) (SCI二区)

  • Z. Tang, Y. Chen, S. Ye, R. Hu, H. Wang, J. He, Q. Huang and S. Chang*, “Fully Memristive Spiking-Neuron Learning Framework and Its Applications on Pattern Recognition and Edge Detection,” Neurocomputing, Vol.403, pp.80-87, 2020. (SCI二区)

  • S. Ye, Y. Lv, Z. Tang, R. Hu, R. Zhu, Z. Wang, Q. Huang, H. Wang, J. He and S. Chang*, “Wave-function symmetry mechanism of quantum-well states in graphene nanoribbon heterojunctions,” Physical Review Applied, Vol.12, 044018, 2019. (SCI一区)

  • S. Wang, P. Lin, R. Hu, H. Wang, J. He, Q. Huang, S. Chang*, “Acceleration of LSTM with Structured Pruning Method on FPGA,” IEEE Access, Vol.7, No.1, pp. 62930-62937, 2019. (SCI二区)

  • R. Zhu, S. Ye, Z. Tang, P. Lin, Q. Huang, H. Wang, J. He and S. Chang*, “Influence on Compact Memristors’ Stability on Machine Learning,” IEEE Access, Vol.7, No.1, pp. 47472-47478, 2019. (SCI二区)

  • Y. Lv, Q. Huang, S. Chang*, H. Wang, J. He, C. Wei, A. Liu, S. Ye and W. Wang, “Interface Coupling as a Crucial Factor for Spatial Localization of Electronic States in a Heterojunction of Graphene Nanoribbons,” Physical Review Applied, Vol.11, 024026, 2019. (SCI一区)

  •  R. Hu, Q. Huang, H. Wang, J. He, and S. Chang*, “Monitor-Based Spiking Recurrent Network for the Representation of Complex Dynamic Patterns,” International Journal of Neural Systems, Vol.29, No.9, 1950006, 2019. (SCI一区)

  • Z. Tang, R. Zhu, P. Lin, J. He, H. Wang, Q. Huang, S. Chang* and Q. Ma*, “A hardware friendly unsupervised memristive neural network with weight sharing mechanism,” Neurocomputing, Vol.332, pp.193-202, 2019. (SCI二区)

  •  Y. Lv, S. Ye, H. Wang, J. He, Q. Huang and S. Chang*, “Strain engineering of chevron graphene nanoribbons,” Journal of Applied Physics, Vol.125, 082501, 2019. (DOI:10.1063/1.5048527, online first). (SCI三区)

  •  R. Hu, S. Chang*, H. Wang, Q. Huang and J. He, “Efficient Multispike Learning for Spiking Neural Networks Using Probability-Modulated Timing Method,” IEEE Transactions on Neural Networks and Learning Systems, Vol.30, No.7, pp1984-1997, 2019. (SCI一区)

  • S. Ye, R. Zhu, Q. Huang, J. He, H. Wang, Y. Lv and S. Chang*, “A Transport Isolation by Orbital Hybridization Transformation toward Graphene Nanoribbon-based Nanostructure Integration,” Nanotechnology, Vol.29, 455704, 2018. (SCI二区)

  • Y. Lv, A. Liu, Q. Huang, S. Chang*, W. Qin, S. Ye, H. Wang and J. He, “Restraining Strategy of the Stone–Wales Defect Effect on Graphene Nanoribbon MOSFETs,” IEEE Electron Device Letters, Vol.39, No.7, pp.1092-1095, 2018. (SCI二区)

  • Y. Lv, Q. Huang, S. Chang*, H. Wang, J. He, A. Liu, S. Ye and W. Wang, “Activating Impurity Effect in Edge Nitrogen-doped Chevron Graphene Nanoribbons,” Journal of Physics Communications, Vol.2, No.4, 045028, 2018.(新刊,ESCI)

  •  H. Wang, S. Chang*, Q. Huang and J. He, “Dielectric Engineering with the Environment Material in 2D Semiconductor Devices,”IEEE Journal of the Electron Device Society, Vol. 6, No.1, pp. 325-331, 2018. (SCI三区)

  • P. Lin, S. Chang*, H. Wang, Q. Huang and J. He, “SpikeCD: A Parameter-insensitive Spiking Neural Network with Clustering Degeneracy Strategy,” Neural Computing Applications, (DOI: 10.1007/s00521-017-3336-6, early access). (SCI二区)

  • R. Zhu, S. Chang*, H. Wang, Q. Huang, J. He and F. Yi, “A Versatile and Accurate Compact Model of Memristor with Equivalent Resistor Topology,” IEEE Electron Device Letters, Vol.38, No.10, pp.1367-1370, 2017. (SCI二区)

  • Y. Lv, Q. Huang, S. Chang*, H. Wang and J. He, “Highly Sensitive Bilayer Phosphorene Nanoribbon Pressure Sensor Based on the Energy Gap Modulation Mechanism: A Theoretical Study,” IEEE Electron Device Letters, Vol.38, No.9, pp.1313-1316, 2017. (SCI二区)

  • Y. Ji, S. Chang*, H. Wang, Q. Huang, J. He and F. Yi, "Multi-valued Logic Design Methodology with Double Negative Differential Resistance Transistors," IET Micro Nano Letters, Vol.12, No.10, pp.738-743, 2017. (SCI四区)

  • Y. Lv, W. Qin, Q. Huang, S. Chang*, H. Wang and J. He, "Graphene Nanoribbon Tunnel Field-Effect Transistor Via Segmented Edge Saturation," IEEE Transactions on Electron Devices, Vol.64, No.6, pp.2694-2701, 2017. (SCI二区)

  •  B. Fan and S. Chang*, "Confined State Energies in AGNR Semiconductor-Semiconductor Heterostructure," Physics Letters A, vol.381, pp.319-322, 2017. (SCI三区)

  • Y. Lv, S. Chang*, Q. Huang, H. Wang and J. He,"Scaling Effect of Phosphorene Nanoribbon - Uncovering the Origin of Asymmetric Current Transport," Scientific Reports, DOI: 10.1038/srep38009, 2016. (SCI二区)

  • H. Wang, S. Chang*, J. He, Q. Huang and F. Liu, "The Dual Effects of Gate Dielectric Constant in Tunnel FETs,"IEEE Journal of the Electron Device Society, Vol. 4, No.6, pp. 445-450, 2016. (SCI三区)

  • Y. Lv, Q. Huang, S. Chang*, H. Wang and J. He, "Novel Strategy of Edge Saturation Hamiltonian for Graphene Nanoribbon Devices," IEEE Transactions on Electron Devices, Vol.63, No.11, pp.4514-4520, 2016. (SCI二区)

  • J. Zhang, Y. Lv, S. Chang*, H. Wang, J. He, and Q. Huang, "Prior Knowledge Input Neural Network Method for GFET Description," Journal of Computational Electronics, Vol.15, No.3, pp.911-918, 2016. (SCI四区)

  • Q. Huang, B. Hao and S. Chang*, "Adaptive Digital Ridgelet Transform and its Application in Image Denoising," Digital Signal Processing, Vol.52, pp.45-54, 2016. (SCI三区)

  • Y. Lv, S. Chang*, H. Wang, J. He, and Q. Huang, "Energy gap tunable graphene antidot nanoribbon MOSFET: A uniform multiscale analysis from band structure to transport properties, " Carbon, Vol.101, pp.143-151, 2016. (SCI一区)

  • S. Chang, Lei Zhao, Yawei Lv, Hao Wang, Qijun Huang and Jin He, "Negative differential resistance in graphene nanoribbon superlattice field-effect transistors," IET Micro Nano Letters, Vol.10, No.8, pp.400-403, 2015. (SCI四区)

  • Q. Huang, S. Chang*, C. Liu, B. Niu, M. Tang and Z. Zhou, "An evaluation of fake fingerprint databases utilizing SVM classification," Pattern Recognition Letters,Vols.60-60,10.1016/j.patrec.2015.03.015, 2015. (SCI三区)

  •  Z. Yu, S. Chang*, H. Wang, J. He and Q. Huang, "Effects of Fin shape on sub-10nm FinFETs," Journal of Computational Electronics, Vol.14, No.2, pp. 515-523, 2015. (SCI四区)

  • R. Zhu, Y. Zhang, J. Luo, S. Chang*, H. Wang and Q. Huang, “Graphene Field Effect Transistor's Circuit Modeling and Radio Frequency Application Study,” Key Engineering Materials, Vols. 645-646, pp. 139-144, 2015.EI

  • S. Chen, S. Chang*, Q. Huang, J. He, H. Wang and Q. Huang, "SVM-based synthetic fingerprint discrimination algorithm and quantitative optimization strategy," PLOS ONE, Vol.9, No.10, e111099. doi:10.1371/journal.pone.0111099, 2014. (SCI二区)

  • H. Wang, S. Chang*, Y. Hu, H. He, H. He, J. He, Q. Huang, F. He and G. Wang, “A novel barrier controlled tunnel FET,” IEEE Electron Device Letters, Vol.35, No.7, pp.798-800, 2014. (SCI二区)

  • S. Chang, Q. Huang, H. Wang, M. He and F. Dai, "High precision multicolorimetric pyrometer with a novel photoelectric MOSFET," IEEE Transactions on Instrumentation Measurement, Vol.63, No.3, pp.680-686, 2014. (SCI三区)

  • J. Zhang, S. Chang*, H. Wang, J. He and Q. Huang, "Artificial neural network based CNTFETs modeling," Applied Mechanics and Materials, Vol. 667, pp.390-395, 2014. (EI)

  • S. ChangY. Zhang, Q. Huang, H. Wang and G. Wang, "Effects of Vacancy Defects on Graphene Nanoribbon Field Effect Transistor,"IET Micro undefinedamp; Nano Letters, Vol.8, No.11, pp.816-821, 2013. (SCI四区)

  • S. Chang, H. Cai, H. Wang, J. He and Q. Huang, "Effects of data’s bit-width on digital logic design," Applied Mechanics and Materials, Vol.411-414, pp.1670-1673, 2013. (EI)

  • S. Chang, G. Wang, Q. Huang, and H. Wang, "A novel measure on inversion degree of undoped symmetric double-gate MOSFETs," Chinese Journal of Electronics, Vol.19, No.3, pp.437-440, 2010. (SCI四区)

  •  S. Chang, G. Wang, Q. Huang, and H. Wang, "Analytic model for undoped symmetric double-gate MOSFETs with small gate oxide thickness asymmetry," IEEE Transactions on Electron Devices, Vol.56, No.10, pp.2297-2301, 2009. (SCI二区)

  • S. Chang, G. Wang, Q. Huang, and H. Wang, "Analytical solution of fundamental surface potential equations for symmetric double-gate MOSFETs," International Journal of Electronics, Vol.96, No.10, pp.1023-1038, 2009. (SCI四区)

  • S. Chang, G. Wang, Q. Huang, and H. Wang, "High-order accurate approximation for MOSFET surface potential," IET Electronics Letters, Vol. 44, No.5, pp. 381-382, 2008. (SCI四区)

  • W. Liu, F. Wang, Q. Huang, S. Chang, H. Wang and J. He, "MFB-CBRNN: a hybrid network for MI detection using 12-lead ECGs," IEEE Journal of Biomedical and Health Informatics, (DOI:10.1109/JBHI.2019.2910082). (SCI二区)

  •  Y. Lv, Y. Liu, W. Qin, S. Chang, C. Jiang, Y. Liu and L. Liao, "Prediction of stable and high-performance charge transport in zigzag Tellurene nanoribbons," IEEE Transactions on Electron Devices, Vol.66, No.5, pp.2365-2369, 2019. (SCI三区)

  •  Z. Xue, J. He, Y. Fang, H. Wang, S. Chang, Q. He and Y. Zhu, "A 10-Gbps inductorless optical receiver in 0.18-μm SiGe BiCMOS," Microelectronics Journal, Vol.86, pp.34-39, 2019. (SCI四区)

  • R. Hu, Q. Huang, S. Chang, H. Wang and J. He, "The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction," Applied Intelligence, (accepted for publication). (SCI三区)

  • W. Liu, M. Zhang, Y. Zhang, Y. Liao, Q. Huang, S. Chang, H. Wang and J. He, "Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection," IEEE Journal of Biomedical and Health Informatics, Vol. 22, No. 5, pp. 1434-1444, 2018. (SCI二区)

  • W. Liu, Q. Huang, S. Chang, H. Wang and J.He, "Multiple-feature-branch Convolutional Neural Network for Myocardial Infarction Diagnosis using Electrocardiogram," Biomedical Signal Processing and Control, Vol. 45, No.8, pp. 22-32, 2018. (SCI三区)

  • W. Qin, F. Ren, R.P. Doerner, G. Wei, Y. Lv, S. Chang, M. Tang, H. Deng, C. Jiang and Y. Wang, "Nanochannel structures in W enhance radiation tolerance, " Acta Materialia, Vol.153, pp.147-155, 2018. (SCI一区)

  • [44]  J. Luo, J. He, P. Chen, H. Wang, S. Chang and Q. Huang, "Micro-Strip Line 90 Phase shifter with double ground slots for D-band Applications, " Journal of Circuits Systems and Computers, Vol. 27, No. 12, 1850192, 2018. (SCI四区)

  • J. Luo, J. He, H. Wang, S. Chang and X.P. Yu, "A 28 GHz LNA using defected ground structure for 5G application, " Microwave and Optical Technology Letters, Vol. 60, pp.1067-1072, 2018. (SCI四区)

  • X. Song, Q. Huang, S. Chang, J. He and H. Wang, "Lossless medical image compression using geometry-adaptive partitioning and least-square based prediction," Medical Biological Engineering Computing, Vo.56, No. 6, pp.957-966, 2018. (SCI三区)

  • X. Chen, Q. Su, T. Chen, L. Cai, J. Luo, H. Wang, S. Chang, Q. Huang and J. He, "Modeling 3-Port Center-Tapped Spiral Inductors for K-Band VCO," Microwave Journal, Vol.60, No.10, pp.86-98, 2017. (SCI四区)

  • X. Song, Q. Huang, S. Chang, J. He and H. Wang, "Three-dimensional separate descendant-based SPIHT algorithm for fast compression of high-resolution medical image sequences," IET Image Processing, Vol. 11, No.1, pp. 80-87, 2017. (SCI四区)

  • X. Song, Q. Huang, S. Chang, J. He and H. Wang, "Novel Near-Lossless Compression Algorithm for Medical Sequence Images with Adaptive Block-Based Spatial Prediction," Journal of Digital Imaging, Vol. 29, pp. 706-715, 2016. (SCI四区)

  • Y. Lv, Q. Huang, H. Wang, S. Chang and J. He, “A Numerical Study on Graphene Nanoribbon Heterojunction Dual-Material Gate Tunnel FET,” IEEE Electron Device Letters, Vol. 37, No.10, pp. 1354-1357, 2016. (SCI二区)

  • Y. Lv, H. Wang, S. Chang, J. He and Q. Huang, “Band Structure Effects in Extremely Scaled Silicon Nanowire MOSFETs with Different Cross Section Shapes,” IEEE Transactions on Electron Devices, Vol. 62, No.11, pp. 3547-3553, 2015. (SCI二区)

  • H. Wang, S. Chang, J. He, Q. Huang, and G. Wang, “Cross-Sectional Shape Effects of Gate-All-Around Nanowire Field-Effect Transistors,” Journal of Computational and Theoretical Nanoscience, vol. 12, pp. 5171-5178, 2015.

  • Y. Lv, H. Wang, S. Chang, Z. Yu, J. He and Q. Huang, “Band Engineering of Graphene Nanomesh Field Effect Transistor under Multiscale Simulation Framework,” Key Engineering Materials, Vols. 645-646, pp. 98-103, 2015.(EI)

  •  H. Wang, S. Chang, Q. Huang, J. He, "A Novel PNIN Barrier Controlled Tunnel FET," Advanced Materials Research, Vol. 1096, pp. 497-502, 2015. (EI)

  •  J. He, J. Luo, H. Wang, S. Chang, Q. Huang and Y. Zhang, “A CMOS fifth-derivative Gaussian pulse generator for UWB applications,” Journal of Semiconductors, Vol.35, No.9, 095005, 2014.

  • J. Luo, Q. Huang, S. Chang and H. Wang,“Hardware efficient architecture for compressed imaging,” IEICE Electronics Express, Vol.11, No.14, pp.1-12, 2014. (SCI四区)

  • J. Luo, Q. Huang, S. Chang, X. Song and H. Wang, “Compact Beamformer Design with High Frame Rate for Ultrasound Imaging,” Sensors Transducers, Vol.168, No.4, pp.237-242, 2014.(EI)

  • J. Luo, Q. Huang, S. Chang and H. Wang, “Fast reconstruction with adaptive sampling in block compressed imaging,” IEICE Electronics Express, Vol.11, No.6, pp.1-8, 2014. (SCI四区)

  • Y. Hu, G. Wang, S. Chang, H. Wang and Q. Huang, "Thin film LDMOS on partial SOI with improved breakdown voltage and suppressed Kink effect," International Journal of Electronics, Vol.101, No.1, pp.37-49, 2014. (SCI四区)

  • Y. Hu, G. Wang, S. Chang, H. Wang and Q. Huang, "Effect of silicon window polarity on partial-SOI LDMOSFETs," IET Micro Nano Letters, Vol.7, No.7, pp.628-630, 2012. (SCI四区)

  • Q. Huang, S. Chang, J. Peng, X. Mao, Y. Zhou and H. Wang, "An implementation of SOPC-based neural monitoring system, " IEEE Transactions on Instrumentation  Measurement,Vol.61, No.9, pp.2469-2475, 2012. (SCI三区)

  • Y. Hu, Q. Huang, G. Wang, S. Chang and H. Wang, "A novel high voltage (>600V) LDMOSFET with buried N-layer in partial SOI technology" IEEE Transactions on Electron Devices, Vol.59, No.4, pp.1131-1136, 2012. (SCI二区)

  • Q. Huang, S. Chang, and G. Wang, "A novel photoelectric MOSFET with AC output under constant illumination," Optical and Quantum Electronics, Vol.41, No.11-13, pp.795-803, 2010. (SCI四区)

  • H. Wang, G. Wang, S. Chang, and Q. Huang, "High-order element effects of the Green’s function in quantum transport simulation of nanoscale devices," IEEE Transactions on Electron Devices, Vol. 56No.12pp.3106-31142009. (SCI二区)

  • H. Wang, G. Wang, S. Chang and Q. Huang, "Accelerated solution of Poisson-Schrodinger equations in nanoscale devices by anderson mixing scheme," IET Micro  Nano Letters, Vol.4, No.2, pp.122-127, 2009. (SCI四区)


发明专利:

  • [1]  常胜,刘淳,汤梦,牛彬彬,黄乾桂,周哲,一种基于指波变换和SVM的假指纹检测方法,中国发明专利,专利号:ZL201410566885.1,授权时间2017年4月20号。

  • [2]  朱若华,常胜,石墨烯场效应管的电路级噪声模型及建模方法,专利号:ZL201710998002.8.,授权时间:20191125

  • [3]  常胜,徐智勇,王豪,刘峰,基于STDP非监督学习算法的硬件友好型脉冲神经网络模型,专利号:ZL201710222912.7,授权时间:2020年3月4号。