| Real-time multilead convolutional neural network for myocardial infarction detection W Liu, M Zhang, Y Zhang, Y Liao, Q Huang, S Chang, H Wang, J He IEEE journal of biomedical and health informatics 22 (5), 1434-1444, 2017 | 158 | 2017 |
| Multiple-feature-branch convolutional neural network for myocardial infarction diagnosis using electrocardiogram W Liu, Q Huang, S Chang, H Wang, J He Biomedical Signal Processing and Control 45, 22-32, 2018 | 152 | 2018 |
| MFB-CBRNN: A hybrid network for MI detection using 12-lead ECGs W Liu, F Wang, Q Huang, S Chang, H Wang, J He IEEE journal of biomedical and health informatics 24 (2), 503-514, 2019 | 114 | 2019 |
| A novel barrier controlled tunnel FET H Wang, S Chang, Y Hu, H He, J He, Q Huang, F He, G Wang IEEE electron device letters 35 (7), 798-800, 2014 | 78 | 2014 |
| Nanochannel structures in W enhance radiation tolerance W Qin, F Ren, RP Doerner, G Wei, Y Lv, S Chang, M Tang, H Deng, ... Acta Materialia 153, 147-155, 2018 | 72 | 2018 |
| Multi-information fusion neural networks for arrhythmia automatic detection A Chen, F Wang, W Liu, S Chang, H Wang, J He, Q Huang Computer methods and programs in biomedicine 193, 105479, 2020 | 58 | 2020 |
| A novel ECG signal compression method using spindle convolutional auto-encoder F Wang, Q Ma, W Liu, S Chang, H Wang, J He, Q Huang Computer methods and programs in biomedicine 175, 139-150, 2019 | 51 | 2019 |
| Machine learning method for tight-binding Hamiltonian parameterization from ab-initio band structure Z Wang, S Ye, H Wang, J He, Q Huang, S Chang npj Computational Materials 7 (1), 11, 2021 | 50 | 2021 |
| Acceleration of LSTM with structured pruning method on FPGA S Wang, P Lin, R Hu, H Wang, J He, Q Huang, S Chang IEEE Access 7, 62930-62937, 2019 | 46 | 2019 |
| Gas sensing properties of buckled bismuthene predicted by first-principles calculations W Pan, N Qi, B Zhao, S Chang, S Ye, Z Chen Physical Chemistry Chemical Physics 21 (21), 11455-11463, 2019 | 45 | 2019 |
| A hardware friendly unsupervised memristive neural network with weight sharing mechanism Z Tang, R Zhu, P Lin, J He, H Wang, Q Huang, S Chang, Q Ma Neurocomputing 332, 193-202, 2019 | 38 | 2019 |
| Effects of vacancy defects on graphene nanoribbon field effect transistor S Chang, Y Zhang, Q Huang, H Wang, G Wang Micro & Nano Letters 8 (11), 816-821, 2013 | 38 | 2013 |
| A numerical study on graphene nanoribbon heterojunction dual-material gate tunnel FET Y Lv, Q Huang, H Wang, S Chang, J He IEEE electron device letters 37 (10), 1354-1357, 2016 | 36 | 2016 |
| Classification of VLF/LF lightning signals using sensors and deep learning methods J Wang, Q Huang, Q Ma, S Chang, J He, H Wang, X Zhou, F Xiao, C Gao Sensors 20 (4), 1030, 2020 | 35 | 2020 |
| The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction R Hu, Q Huang, S Chang, H Wang, J He Applied intelligence 49, 2942-2955, 2019 | 34 | 2019 |
| A multilayer neural network merging image preprocessing and pattern recognition by integrating diffusion and drift memristors Z Tang, R Zhu, R Hu, Y Chen, EQ Wu, H Wang, J He, Q Huang, S Chang IEEE Transactions on Cognitive and Developmental Systems 13 (3), 645-656, 2020 | 33 | 2020 |
| Monitor-based spiking recurrent network for the representation of complex dynamic patterns R Hu, Q Huang, H Wang, J He, S Chang International journal of neural systems 29 (08), 1950006, 2019 | 31 | 2019 |
| A Novel High-Voltage (600 V) LDMOSFET With Buried N-Layer in Partial SOI Technology Y Hu, Q Huang, G Wang, S Chang, H Wang IEEE transactions on electron devices 59 (4), 1131-1136, 2012 | 30 | 2012 |
| Fully memristive spiking-neuron learning framework and its applications on pattern recognition and edge detection Z Tang, Y Chen, S Ye, R Hu, H Wang, J He, Q Huang, S Chang Neurocomputing 403, 80-87, 2020 | 29 | 2020 |
| A real time QRS detection algorithm based on ET and PD controlled threshold strategy A Chen, Y Zhang, M Zhang, W Liu, S Chang, H Wang, J He, Q Huang Sensors 20 (14), 4003, 2020 | 29 | 2020 |
