| Energy efficient parallel neuromorphic architectures with approximate arithmetic on FPGA Q Wang, Y Li, B Shao, S Dey, P Li Neurocomputing 221, 146-158, 2017 | 110 | 2017 |
| Plasmonic graphene transparent conductors G Xu, J Liu, Q Wang, R Hui, Z Chen, VA Maroni, J Wu Advanced Materials 24 (10), OP71-OP76, 2012 | 82 | 2012 |
| Development of nanopatterned fluorine-doped tin oxide electrodes for dye-sensitized solar cells with improved light trapping F Wang, NK Subbaiyan, Q Wang, C Rochford, G Xu, R Lu, A Elliot, ... ACS applied materials & interfaces 4 (3), 1565-1572, 2012 | 76 | 2012 |
| Liquid state machine based pattern recognition on FPGA with firing-activity dependent power gating and approximate computing Q Wang, Y Li, P Li 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 361-364, 2016 | 63 | 2016 |
| Support vector machine based detection of drowsiness using minimum EEG features S Yu, P Li, H Lin, E Rohani, G Choi, B Shao, Q Wang 2013 International Conference on Social Computing, 827-835, 2013 | 52 | 2013 |
| General-purpose LSM learning processor architecture and theoretically guided design space exploration Q Wang, Y Jin, P Li 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2015 | 51 | 2015 |
| Surface-passivated plasmonic nano-pyramids for bulk heterojunction solar cell photocurrent enhancement A Kirkeminde, M Retsch, Q Wang, G Xu, R Hui, J Wu, S Ren Nanoscale 4 (15), 4421-4425, 2012 | 46 | 2012 |
| D-lsm: Deep liquid state machine with unsupervised recurrent reservoir tuning Q Wang, P Li 2016 23rd International Conference on Pattern Recognition (ICPR), 2652-2657, 2016 | 36 | 2016 |
| Neuromorphic processors with memristive synapses: Synaptic interface and architectural exploration Q Wang, Y Kim, P Li ACM Journal on Emerging Technologies in Computing Systems (JETC) 12 (4), 1-22, 2016 | 26 | 2016 |
| Carrier lifetime in erbium-doped GaN waveguide emitting in 1540 nm wavelength Q Wang, R Hui, R Dahal, JY Lin, HX Jiang Applied Physics Letters 97 (24), 2010 | 24 | 2010 |
| A parallel digital VLSI architecture for integrated support vector machine training and classification Q Wang, P Li, Y Kim IEEE Transactions on Very Large Scale Integration (VLSI) Systems 23 (8 …, 2014 | 17 | 2014 |
| Emission and absorption cross-sections of an Er: GaN waveguide prepared with metal organic chemical vapor deposition Q Wang, R Dahal, IW Feng, JY Lin, HX Jiang, R Hui Applied Physics Letters 99 (12), 2011 | 17 | 2011 |
| Reconstructing training data from diverse ml models by ensemble inversion Q Wang, D Kurz Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 15 | 2022 |
| Architectural design exploration for neuromorphic processors with memristive synapses Q Wang, Y Kim, P Li 14th IEEE International Conference on Nanotechnology, 962-966, 2014 | 13 | 2014 |
| Light trapping on plasmonic-photonic nanostructured fluorine-doped tin oxide F Wang, Q Wang, G Xu, R Hui, J Wu The Journal of Physical Chemistry C 117 (22), 11725-11730, 2013 | 13 | 2013 |
| Training a network to inhibit performance of a secondary task QW Daniel Kurz, Thomas Gebauer, Dewey H Lee, Muhammad Ahmed Riaz US Patent 11,734,570, 2023 | 4 | 2023 |
| Architectures and Design of VLSI Machine Learning Systems Q Wang | | 2016 |
Peng LiProfessor of Electrical & Computer Engineering, University of California, Santa BarbaraVerified email at ucsb.edu
