Qiao Ning
Orcid: 0000-0003-0264-5622
According to our database1,
Qiao Ning
authored at least 54 papers
between 2013 and 2025.
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Bibliography
2025
DMHGNN: Double multi-view heterogeneous graph neural network framework for drug-target interaction prediction.
Artif. Intell. Medicine, 2025
2024
ANP-I: A 28-nm 1.5-pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-0.1-μ J/Sample On-Chip Learning for Edge-AI Applications.
IEEE J. Solid State Circuits, August, 2024
Remote. Sens., July, 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
Real-time Sub-milliwatt Epilepsy Detection Implemented on a Spiking Neural Network Edge Inference Processor.
CoRR, 2024
Real-time sub-milliwatt epilepsy detection implemented on a spiking neural network edge inference processor.
Comput. Biol. Medicine, 2024
High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost.
Proceedings of the Forty-first International Conference on Machine Learning, 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
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Based on LSTM thermal power enterprises monthly rolling matching trading bidding strategy.
Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management, 2023
2022
Neuromorph. Comput. Eng., December, 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
Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering, 2022
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
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
J. Intell. Fuzzy Syst., 2020
New three-dimensional positioning algorithm through integrating TDOA and Newton's method.
EURASIP J. Wirel. Commun. Netw., 2020
2019
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
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
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
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
Comput. Math. Methods Medicine, 2013