Ming Zhang

Orcid: 0000-0002-4556-9191

Affiliations:
  • Zhejiang University, Centre for Optical and Electromagnetic Research, State Key Laboratory for Modern Optical Instrumentation, Hangzhou, China
  • Zhejiang Laboratory, Research Center for Intelligent Computing Hardware, Hangzhou, China
  • Zhejiang University, College of Computer Science and Technology, Hangzhou, China (PhD 2019)


According to our database1, Ming Zhang authored at least 14 papers between 2011 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy.
CoRR, May, 2026

2025
Mapping Large-Scale Spiking Neural Network on Arbitrary Meshed Neuromorphic Hardware.
IEEE Trans. Parallel Distributed Syst., November, 2025

An Ultracompact Low-Loss Multilevel Nonvolatile Phase Shifter with Rhomboidal Segments of Embedded $\text{Sb}_{2} \text{Se}_{3}$.
Proceedings of the European Conference on Optical Communications, 2025

2024
R-SNN: Region-Based Spiking Neural Network for Object Detection.
IEEE Trans. Cogn. Dev. Syst., June, 2024

2020
Design Rule of Mach-Zehnder Interferometer Sensors for Ultra-High Sensitivity.
Sensors, 2020

Efficient Spiking Neural Networks With Logarithmic Temporal Coding.
IEEE Access, 2020

2019
Overfitting remedy by sparsifying regularization on fully-connected layers of CNNs.
Neurocomputing, 2019

2018
A decomposition-based approach to optimization of TTP-based distributed embedded systems.
J. Syst. Archit., 2018

WCET-Aware Control Flow Checking With Super-Nodes for Resource-Constrained Embedded Systems.
IEEE Access, 2018

Integration and Evaluation of a Contract-Based Flexible Real-Time Scheduling Framework in AUTOSAR OS.
Proceedings of the Green, Pervasive, and Cloud Computing - 13th International Conference, 2018

2017
Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices.
CoRR, 2017

2016
Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks.
Sci. China Inf. Sci., 2016

2014
WCET-Aware Partial Control-Flow Checking for Resource-Constrained Real-Time Embedded Systems.
IEEE Trans. Ind. Electron., 2014

2011
Optimization issues in mapping AUTOSAR components to distributed multithreaded implementations.
Proceedings of the 22nd IEEE International Symposium on Rapid System Prototyping, 2011


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