Jianxiong Tang

Orcid: 0000-0001-6369-8774

According to our database1, Jianxiong Tang authored at least 25 papers between 2013 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
Algebraic degree of Cayley graphs over dicyclic and semi-dihedral groups.
Appl. Math. Comput., March, 2024

Spike-Temporal Latent Representation for Energy-Efficient Event-to-Video Reconstruction.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
AC<sup>2</sup>AS: Activation Consistency Coupled ANN-SNN framework for fast and memory-efficient SNN training.
Pattern Recognit., December, 2023

GraphCpG: imputation of single-cell methylomes based on locus-aware neighboring subgraphs.
Bioinform., September, 2023

A novel deep transfer learning method with inter-domain decision discrepancy minimization for intelligent fault diagnosis.
Knowl. Based Syst., 2023

Spike Count Maximization for Neuromorphic Vision Recognition.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Energy-Efficient Robotic Arm Control Based on Differentiable Spiking Neural Networks.
Proceedings of the Image and Graphics - 12th International Conference, 2023

Learning High-Performance Spiking Neural Networks with Multi-Compartment Spiking Neurons.
Proceedings of the Image and Graphics - 12th International Conference, 2023

2022
The progress on the estimation of DNA methylation level and the detection of abnormal methylation.
Quant. Biol., 2022

A class-aware supervised contrastive learning framework for imbalanced fault diagnosis.
Knowl. Based Syst., 2022

A Quadruplet Deep Metric Learning model for imbalanced time-series fault diagnosis.
Knowl. Based Syst., 2022

Relaxation LIF: A gradient-based spiking neuron for direct training deep spiking neural networks.
Neurocomputing, 2022

SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks.
CoRR, 2022

Deep Joint Transfer Network for Intelligent Fault Diagnosis under Different Working Conditions.
Proceedings of the American Control Conference, 2022

2021
CaMelia: imputation in single-cell methylomes based on local similarities between cells.
Bioinform., 2021

Imputation in Scrna-seq Data Using Supervised Deep Generative Networks.
Proceedings of the ICBRA 2021: 2021 8th International Conference on Bioinformatics Research and Applications, Berlin Germany, September 11, 2021

Multi-distance based spectral embedding fusion for clustering single-cell methylation data.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

MS-TCN: A Multiscale Temporal Convolutional Network for Fault Diagnosis in Industrial Processes.
Proceedings of the 2021 American Control Conference, 2021

2020
Block transitive 2-(v, k, 1) designs and <i>PGL</i><sub>2</sub>(<i>q</i>) groups.
Appl. Math. Comput., 2020

Deep Face Recognition Based on Penalty Cosface.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

2019
MRCNN: a deep learning model for regression of genome-wide DNA methylation.
BMC Genom., 2019

2018
Robust Binary Classification via ℓ0-SVM.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2015
The Urban Villages' Topographic Database System Construction Based on Oracle Map Fusion Middleware.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

2014
Mining Order-Preserving Submatrices Based on Frequent Sequential Pattern Mining.
Proceedings of the Health Information Science - Third International Conference, 2014

2013
Groups PSL(n, q) and 3-(v, k, 1) designs.
Ars Comb., 2013


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