Jie Hu

Orcid: 0000-0002-0587-380X

Affiliations:
  • Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China


According to our database1, Jie Hu authored at least 46 papers between 2015 and 2024.

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Timeline

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Bibliography

2024
Few-shot ICD coding with knowledge transfer and evidence representation.
Expert Syst. Appl., March, 2024

A vulnerability detection algorithm based on residual graph attention networks for source code imbalance (RGAN).
Expert Syst. Appl., March, 2024

An effective relation-first detection model for relational triple extraction.
Expert Syst. Appl., March, 2024

2023
Auto-attention mechanism for multi-view deep embedding clustering.
Pattern Recognit., November, 2023

Multi-view subspace clustering for learning joint representation via low-rank sparse representation.
Appl. Intell., October, 2023

Text semantic matching with an enhanced sample building method based on contrastive learning.
Int. J. Mach. Learn. Cybern., September, 2023

DBAFormer: A Double-Branch Attention Transformer for Long-Term Time Series Forecasting.
Hum. Centric Intell. Syst., September, 2023

Multi-view clustering for multiple manifold learning via concept factorization.
Digit. Signal Process., August, 2023

A contrastive learning based universal representation for time series forecasting.
Inf. Sci., July, 2023

A Method of Sharing Sentence Vectors for Opinion Triplet Extraction.
Neural Process. Lett., February, 2023

A Pre-trained Data Deduplication Model based on Active Learning.
CoRR, 2023

An effective multi-task learning model for end-to-end emotion-cause pair extraction.
Appl. Intell., 2023

Spatio-Temporal Meta Contrastive Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Multi-view low rank sparse representation method for three-way clustering.
Int. J. Mach. Learn. Cybern., 2022

Multi-view data clustering via non-negative matrix factorization with manifold regularization.
Int. J. Mach. Learn. Cybern., 2022

Consistency regularization for deep semi-supervised clustering with pairwise constraints.
Int. J. Mach. Learn. Cybern., 2022

Multi-view document clustering based on geometrical similarity measurement.
Int. J. Mach. Learn. Cybern., 2022

Deep linear graph attention model for attributed graph clustering.
Knowl. Based Syst., 2022

Prediction of superconducting properties of materials based on machine learning models.
CoRR, 2022

DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting.
CoRR, 2022

Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Multi-view clustering via deep concept factorization.
Knowl. Based Syst., 2021

Deep embedding clustering based on contractive autoencoder.
Neurocomputing, 2021

Prediction of properties of metal alloy materials based on machine learning.
CoRR, 2021

K-Means Clustering with Fairness Constraints.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

2020
A novel approach for efficient updating approximations in dynamic ordered information systems.
Inf. Sci., 2020

A review on crowd simulation and modeling.
Graph. Model., 2020

2019
Social web video clustering based on multi-view clustering via nonnegative matrix factorization.
Int. J. Mach. Learn. Cybern., 2019

Social web video clustering based on multi-modal and clustering ensemble.
Neurocomputing, 2019

Multi-Objective Particle Swarm optimization Algorithm Based on Angle Preference and Three-Archive Sets.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Weighted Multi-View Data Clustering via Joint Non-Negative Matrix Factorization.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Dynamical Information Fusion of Multisource Incomplete Hybrid Information Systems Based on Conditional Entropy.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

RFMC: A Rough Fuzzy Multi-view Clustering Approach.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Concept-Enhanced Multi-view Clustering of Document Data.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

TW-Co-MFC: Two-Level Weighted Collaborative Multi-view Fuzzy Clustering Based on Maximum Entropy.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

2017
Incremental fuzzy cluster ensemble learning based on rough set theory.
Knowl. Based Syst., 2017

Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values.
Inf. Sci., 2017

Incremental fuzzy probabilistic rough sets over two universes.
Int. J. Approx. Reason., 2017

An Overlapping Clustering Approach with Correlation Weight.
Proceedings of the Rough Sets - International Joint Conference, 2017

2016
Hierarchical cluster ensemble model based on knowledge granulation.
Knowl. Based Syst., 2016

2015
Update of approximations in composite information systems.
Knowl. Based Syst., 2015

An Incremental Learning Approach for Updating Approximations in Rough Set Model over Dual Universes.
Int. J. Intell. Syst., 2015

Reversible steganography using extended image interpolation technique.
Comput. Electr. Eng., 2015

Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Incremental updating fuzzy rough approximations for dynamic hybrid data under the variation of attribute values.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

Incremental fuzzy probabilistic rough sets over dual universes.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015


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