Jing Gao

Orcid: 0000-0001-5099-6991

Affiliations:
  • Dalian University of Technology, School of Software Technology, China
  • Harbin Institute of Technology, China (PhD 2015)


According to our database1, Jing Gao authored at least 26 papers between 2014 and 2023.

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Timeline

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Bibliography

2023
Deep Reinforcement Clustering.
IEEE Trans. Multim., 2023

A Deep Multimodal Adversarial Cycle-Consistent Network for Smart Enterprise System.
IEEE Trans. Ind. Informatics, 2023

2022
A two-stage deep transfer learning model and its application for medical image processing in Traditional Chinese Medicine.
Knowl. Based Syst., 2022

LEGAN: A Light and Effective Generative Adversarial Network for medical image synthesis.
Comput. Biol. Medicine, 2022

Self-Paced Pseudo Label Refinement for Multi-view Subspace Clustering.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

2021
Reconstruction of Generative Adversarial Networks in Cross Modal Image Generation with Canonical Polyadic Decomposition.
Wirel. Commun. Mob. Comput., 2021

Semisupervised Deep Embedded Clustering with Adaptive Labels.
Sci. Program., 2021

Cross Modal Few-Shot Contextual Transfer for Heterogenous Image Classification.
Frontiers Neurorobotics, 2021

Averaged Soft Actor-Critic for Deep Reinforcement Learning.
Complex., 2021

Multi-View Representation Learning via Dual Optimal Transportation.
IEEE Access, 2021

2020
A Deep Fusion Gaussian Mixture Model for Multiview Land Data Clustering.
Wirel. Commun. Mob. Comput., 2020

A Survey on Deep Learning for Multimodal Data Fusion.
Neural Comput., 2020

UCMH: Unpaired cross-modal hashing with matrix factorization.
Neurocomputing, 2020

HDMFH: Hypergraph Based Discrete Matrix Factorization Hashing for Multimodal Retrieval.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Image Annotation based on Semantic Structure and Graph Learning.
Proceedings of the IEEE Intl Conf on Dependable, 2020

2019
An Incremental Deep Convolutional Computation Model for Feature Learning on Industrial Big Data.
IEEE Trans. Ind. Informatics, 2019

A canonical polyadic deep convolutional computation model for big data feature learning in Internet of Things.
Future Gener. Comput. Syst., 2019

Privacy-Preserving Deep Learning Models for Law Big Data Feature Learning.
Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018
An Improved Stacked Auto-Encoder for Network Traffic Flow Classification.
IEEE Netw., 2018

Semantic Clustering-Based Deep Hypergraph Model for Online Reviews Semantic Classification in Cyber-Physical-Social Systems.
IEEE Access, 2018

A Deep CFS Model for Text Clustering.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

2017
CITS 2017 general chairs' message.
Proceedings of the International Conference on Computer, 2017

2016
Approximate event detection over multi-modal sensing data.
J. Comb. Optim., 2016

ICFS: An Improved Fast Search and Find of Density Peaks Clustering Algorithm.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016

2015
Composite event coverage in wireless sensor networks with heterogeneous sensors.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

2014
Model-Based Approximate Event Detection in Heterogeneous Wireless Sensor Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2014


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