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Xinyu WU
Xinyu WU
Micron Technology
Verified email at u.boisestate.edu
Title
Cited by
Cited by
Year
A CMOS Spiking Neuron for Brain-Inspired Neural Networks With Resistive Synapses and In Situ Learning
X Wu, V Saxena, K Zhu, S Balagopal
Circuits and Systems II: Express Briefs, IEEE Transactions o 62 (11), 1088 …, 2015
1602015
Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition
X Wu, V Saxena, K Zhu
Emerging and Selected Topics in Circuits and Systems, IEEE Journal on 5 (2 …, 2015
832015
A CMOS Spiking Neuron for Dense Memristor-Synapse Connectivity for Brain-Inspired Computing
X Wu, V Saxena, K Zhu
2015 International Joint Conference on Neural Networks (IJCNN), 2015
522015
Towards neuromorphic learning machines using emerging memory devices with brain-like energy efficiency
V Saxena, X Wu, I Srivastava, K Zhu
Journal of Low Power Electronics and Applications 8 (4), 34, 2018
312018
Design Considerations for Traveling-Wave Modulator Based CMOS Photonic Transmitters
K Zhu, V Saxena, X Wu, W Kuang
Circuits and Systems II: Express Briefs, IEEE Transactions on 62 (4), 412 - 416, 2015
312015
Energy-efficient CMOS memristive synapses for mixed-signal neuromorphic system-on-a-chip
V Saxena, X Wu, K Zhu
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
202018
Energy-efficient STDP-based learning circuits with memristor synapses
X Wu, V Saxena, KA Campbell
Proc. SPIE 9119, Machine Intelligence and Bio-inspired Computation: Theory …, 2014
182014
Dendritic-inspired processing enables bio-plausible STDP in compound binary synapses
X Wu, V Saxena
IEEE Transactions on Nanotechnology 18, 149-159, 2018
172018
Deep reinforcement learning framework-based flow rate rejection control of soft magnetic miniature robots
M Cai, Q Wang, Z Qi, D Jin, X Wu, T Xu, L Zhang
IEEE Transactions on Cybernetics, 2022
152022
Methods to recognize depth of hard inclusions in soft tissue using ordinal classification for robotic palpation
Z Zhou, B Huang, R Zhang, M Yin, C Liu, Y Liu, Z Yi, X Wu
IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022
122022
Real-time gait phase estimation based on neural network and assistance strategy based on simulated muscle dynamics for an ankle exosuit
Z Wang, C Chen, F Yang, Y Liu, G Li, X Wu
IEEE Transactions on Medical Robotics and Bionics 5 (1), 100-109, 2023
112023
Hardware circuits design and performance evaluation of a soft lower limb exoskeleton
W Cao, Y Ma, C Chen, J Zhang, X Wu
IEEE Transactions on Biomedical Circuits and Systems 16 (3), 384-394, 2022
112022
Towards spiking neuromorphic system-on-a-chip with bio-plausible synapses using emerging devices
V Saxena, X Wu, I Srivastava, K Zhu
The 4th ACM International Conference on Nanoscale Computing and Communication, 2017
112017
A design of high speed double precision floating point adder using macro modules
C Huang, X Wu, J Lai, C Sun, G Li
Proceedings of the 2005 Asia and South Pacific Design Automation Conference …, 2005
112005
Insect-scale SMAW-based soft robot with crawling, jumping, and loading locomotion
W Huang, W Shang, Y Huang, H Long, X Wu
IEEE Robotics and Automation Letters 7 (4), 9287-9293, 2022
102022
Model predictive control of magnetic helical swimmers in two-dimensional plane
J Liu, T Xu, X Wu
IEEE Transactions on Automation Science and Engineering, 2023
92023
Tactonet: Tactile ordinal network based on unimodal probability for object hardness classification
S Fang, Z Yi, T Mi, Z Zhou, C Ye, W Shang, T Xu, X Wu
IEEE Transactions on Automation Science and Engineering, 2022
92022
Being gradually softened approach for solving large deflection of cantilever beam subjected to distributed and tip loads
F Gao, WH Liao, X Wu
Mechanism and Machine Theory 174, 104879, 2022
92022
Tactile grasp stability classification based on graph convolutional networks
T Mi, D Que, S Fang, Z Zhou, C Ye, C Liu, Z Yi, X Wu
2021 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2021
92021
Inertial sensing for lateral walking gait detection and application in lateral resistance exoskeleton
L Yang, K Xiang, M Pang, M Yin, X Wu, W Cao
IEEE Transactions on Instrumentation and Measurement, 2023
82023
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