Qiao Ning

Orcid: 0000-0003-0264-5622

According to our database1, Qiao Ning authored at least 46 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor.
Neuromorph. Comput. Eng., March, 2024

A Novel Non-Stationary Clutter Suppression Approach for Space-Based Early Warning Radar Using an Interpulse Multi-Frequency Mode.
Remote. Sens., January, 2024

2023
Clutter Characteristic Analysis and Grating Lobe Suppression for Distributed Small Satellite Space-Based Early Warning Radar.
IEEE Trans. Aerosp. Electron. Syst., December, 2023

AMHMDA: attention aware multi-view similarity networks and hypergraph learning for miRNA-disease associations identification.
Briefings Bioinform., March, 2023

Adaptive cruise control method based on improved grey prediction.
J. Intell. Fuzzy Syst., 2023

Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline.
CoRR, 2023

ANP-I: A 28nm 1.5pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-O.1 μJ/Sample On-Chip Learning for Edge-AI Applications.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

"Seeing" Electric Network Frequency from Events.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
2022 roadmap on neuromorphic devices and applications research in China.
Neuromorph. Comput. Eng., December, 2022

Improved method of grey prediction adaptive cruise control.
Dataset, January, 2022

A Novel Method for Identification of Glutarylation Sites Combining Borderline-SMOTE With Tomek Links Technique in Imbalanced Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

SSKM_Succ: A Novel Succinylation Sites Prediction Method Incorporating K-Means Clustering With a New Semi-Supervised Learning Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites.
Briefings Bioinform., 2022

DLF-Sul: a multi-module deep learning framework for prediction of S-sulfinylation sites in proteins.
Briefings Bioinform., 2022

Identifying drug-target interactions via heterogeneous graph attention networks combined with cross-modal similarities.
Briefings Bioinform., 2022

Tradeoff Analysis Based on Various Indicators for The Electricity Trading.
Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering, 2022

A Multi-Source Information Learning Framework for Airbnb Price Prediction.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Synthetic Aperture Imaging with Events and Frames.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

A Novel Clutter Covariance Matrix Estimation Method Based on Feature Subspace for Space-Based Early Warning Radar.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Heterogeneous Graph Convolutional Network integrates Multi-modal Similarities for Drug-Target Interaction Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Convolutional neural network for human behavior recognition based on smart bracelet.
J. Intell. Fuzzy Syst., 2020

New three-dimensional positioning algorithm through integrating TDOA and Newton's method.
EURASIP J. Wirel. Commun. Netw., 2020

2019
Neural State Machines for Robust Learning and Control of Neuromorphic Agents.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Analog circuits for mixed-signal neuromorphic computing architectures in 28 nm FD-SOI technology.
CoRR, 2019

Analysis and prediction of human acetylation using a cascade classifier based on support vector machine.
BMC Bioinform., 2019

ECG-based Heartbeat Classification in Neuromorphic Hardware.
Proceedings of the International Joint Conference on Neural Networks, 2019

Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor.
Proceedings of the International Conference on Robotics and Automation, 2019

Live Demonstration: Face Recognition on an Ultra-Low Power Event-Driven Convolutional Neural Network ASIC.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Robust Learning and Recognition of Visual Patterns in Neuromorphic Electronic Agents.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018
A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs).
IEEE Trans. Biomed. Circuits Syst., 2018

Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain.
CoRR, 2018

Detecting Succinylation sites from protein sequences using ensemble support vector machine.
BMC Bioinform., 2018

A bi-directional Address-Event transceiver block for low-latency inter-chip communication in neuromorphic systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

A Clock-Less Ultra-Low Power Bit-Serial LVDS Link for Address-Event Multi-chip Systems.
Proceedings of the 24th IEEE International Symposium on Asynchronous Circuits and Systems, 2018

2017
An Ultralow Leakage Synaptic Scaling Homeostatic Plasticity Circuit With Configurable Time Scales up to 100 ks.
IEEE Trans. Biomed. Circuits Syst., 2017

An ultra-low leakage synaptic scaling homeostatic plasticity circuit with configurable time scales up to 100 kilo-seconds.
CoRR, 2017

A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs).
CoRR, 2017

A compact ultra low-power pulse delay and extension circuit for neuromorphic processors.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017

2016
Wide dynamic range weights and biologically realistic synaptic dynamics for spike-based learning circuits.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Automatic gain control of ultra-low leakage synaptic scaling homeostatic plasticity circuits.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

Scaling mixed-signal neuromorphic processors to 28 nm FD-SOI technologies.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

An auto-scaling wide dynamic range current to frequency converter for real-time monitoring of signals in neuromorphic systems.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

2015
Comparison of decoupling resistors and capacitors for increasing the single event upset resistance of SRAM cells.
Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

2014
Ultra low leakage synaptic scaling circuits for implementing homeostatic plasticity in neuromorphic architectures.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

2013
Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction.
Comput. Math. Methods Medicine, 2013


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