Xinyu Wu

According to our database, Xinyu Wu authored at least 12 papers between 2015 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2018

Dendritic-Inspired Processing Enables Bio-Plausible STDP in Compound Binary Synapses.

Xinyu Wu, Vishal Saxena

CoRR, 2018

Energy-Efficient CMOS Memristive Synapses for Mixed-Signal Neuromorphic System-on-a-Chip.

Vishal Saxena, Xinyu Wu, Kehan Zhu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

Towards spiking neuromorphic system-on-a-chip with bio-plausible synapses using emerging devices.

Vishal Saxena, Xinyu Wu, Ira Srivastava, Kehan Zhu

Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, 2017

Behavioral modeling and characterization of silicon photonic Mach-Zehnder modulator.

Kehan Zhu, Rui Wang, Xinyu Wu, Vishal Saxena

Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

Realization of a 10 GHz PLL in IBM 130 nm SiGe BiCMOS process for optical transmitter.

Kehan Zhu, Sakkarapani Balagopal, Xinyu Wu, Vishal Saxena

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Enabling bio-plausible multi-level STDP using CMOS neurons with dendrites and bistable RRAMs.

Xinyu Wu, Vishal Saxena

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Modeling and optimization of the bond-wire interface in a Hybrid CMOS-photonic traveling-wave MZM transmitter.

Kehan Zhu, Vishal Saxena, Xinyu Wu

Proceedings of the 29th IEEE International System-on-Chip Conference, 2016

2015

Design Considerations for Traveling-Wave Modulator-Based CMOS Photonic Transmitters.

Kehan Zhu, Vishal Saxena, Xinyu Wu, Wan Kuang

IEEE Trans. Circuits Syst. II Express Briefs, 2015

A CMOS Spiking Neuron for Brain-Inspired Neural Networks With Resistive Synapses and In Situ Learning.

Xinyu Wu, Vishal Saxena, Kehan Zhu, Sakkarapani Balagopal

IEEE Trans. Circuits Syst. II Express Briefs, 2015

Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition.

Xinyu Wu, Vishal Saxena, Kehan Zhu

IEEE J. Emerg. Sel. Topics Circuits Syst., 2015

A comprehensive design approach for a MZM based PAM-4 silicon photonic transmitter.

Kehan Zhu, Vishal Saxena, Xinyu Wu

Proceedings of the IEEE 58th International Midwest Symposium on Circuits and Systems, 2015

A CMOS spiking neuron for dense memristor-synapse connectivity for brain-inspired computing.

Xinyu Wu, Vishal Saxena, Kehan Zhu

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015