Xiuyi Jia

Orcid: 0000-0002-9879-9855

According to our database1, Xiuyi Jia authored at least 111 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
Label distribution learning via second-order self-representation.
Int. J. Mach. Learn. Cybern., December, 2024

Adaptive Weighted Ranking-Oriented Label Distribution Learning.
IEEE Trans. Neural Networks Learn. Syst., August, 2024

Low-Rank Tensor Regularized Views Recovery for Incomplete Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

LGABL: UHD Multi-Exposure Image Fusion via Local and Global Aware Bilateral Learning.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Dimensional Transformation Mixer for Ultra-High-Definition Industrial Camera Dehazing.
IEEE Trans. Ind. Informatics, March, 2024

Single UHD image dehazing via Interpretable Pyramid Network.
Signal Process., January, 2024

Polyp-DAM: Polyp Segmentation via Depth Anything Model.
IEEE Signal Process. Lett., 2024

Sample diversity selection strategy based on label distribution morphology for active label distribution learning.
Pattern Recognit., 2024

Exploiting indirect linear correlation for label distribution learning.
Neurocomputing, 2024

Boosting Adverse Weather Crowd Counting via Multi-queue Contrastive Learning.
CoRR, 2024

Polyp-DAM: Polyp segmentation via depth anything model.
CoRR, 2024

MixNet: Towards Effective and Efficient UHD Low-Light Image Enhancement.
CoRR, 2024

An ultra-high-definition multi-exposure image fusion method based on multi-scale feature extraction.
Appl. Soft Comput., 2024

CLGNN: UAV Fault Diagnosis via Causal Learning and Graph Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2024

Continual Multi-View Clustering with Consistent Anchor Guidance.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Rethinking Image Deraining via Text-guided Detail Reconstruction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Frequency Aware and Graph Fusion Network for Polyp Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Cluster-Wise Anchors for Multi-View Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Generative Calibration of Inaccurate Annotation for Label Distribution Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Predicting Label Distribution From Tie-Allowed Multi-Label Ranking.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Ranking-preserved generative label enhancement.
Mach. Learn., December, 2023

TranSDFNet: Transformer-Based Truncated Signed Distance Fields for the Shape Design of Removable Partial Denture Clasps.
IEEE J. Biomed. Health Informatics, October, 2023

Adaptive Marginalized Semantic Hashing for Unpaired Cross-Modal Retrieval.
IEEE Trans. Multim., 2023

Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-Modal Retrieval.
IEEE Trans. Knowl. Data Eng., 2023

Label Distribution Learning by Maintaining Label Ranking Relation.
IEEE Trans. Knowl. Data Eng., 2023

Label Enhancement by Maintaining Positive and Negative Label Relation.
IEEE Trans. Knowl. Data Eng., 2023

Joint Projection Learning and Tensor Decomposition Based Incomplete Multi-view Clustering.
CoRR, 2023

Complex Mixer for MedMNIST Classification Decathlon.
CoRR, 2023

4K-HAZE: A Dehazing Benchmark with 4K Resolution Hazy and Haze-Free Images.
CoRR, 2023

Dual-Domain Learning Network for Polyp Segmentation.
Proceedings of the Digital Forensics and Watermarking - 22nd International Workshop, 2023

Image Restoration via UAVFormer for Under-Display Camera of UAV.
IROS, 2023

Label Enhancement via Joint Implicit Representation Clustering.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Dual-Domain Network for Restoring Images from Under-Display Cameras.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

Generative Label Enhancement with Gaussian Mixture and Partial Ranking.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Noisy Optimization by Evolution Strategies With Online Population Size Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Semi-supervised label enhancement via structured semantic extraction.
Int. J. Mach. Learn. Cybern., 2022

Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition.
Medical Image Anal., 2022

Path-based reasoning with K-nearest neighbor and position embedding for knowledge graph completion.
J. Intell. Inf. Syst., 2022

UHD Low-light image enhancement via interpretable bilateral learning.
Inf. Sci., 2022

Label distribution learning with noisy labels via three-way decisions.
Int. J. Approx. Reason., 2022

TabMixer: Excavating Label Distribution Learning with Small-scale Features.
CoRR, 2022

Label distribution learning via label correlation grid.
CoRR, 2022

Label Distribution Learning via Implicit Distribution Representation.
CoRR, 2022

UHD Image Deblurring via Multi-scale Cubic-Mixer.
CoRR, 2022

Zero-Reference Image Restoration for Under-Display Camera of UAV.
CoRR, 2022

Multimodal Emotion Distribution Learning.
Cogn. Comput., 2022

ToothCR: A Two-Stage Completion and Reconstruction Approach on 3D Dental Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Predicting Label Distribution from Multi-label Ranking.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Scale Bidirectional Enhancement Network for 3d Dental Model Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

UHD Underwater Image Enhancement via Frequency-Spatial Domain Aware Network.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Label Distribution Learning with Label Correlations on Local Samples.
IEEE Trans. Knowl. Data Eng., 2021

An automatic three-way clustering method based on sample similarity.
Int. J. Mach. Learn. Cybern., 2021

Information-theoretic measures of uncertainty for interval-set decision tables.
Inf. Sci., 2021

Semi-supervised label distribution learning via projection graph embedding.
Inf. Sci., 2021

Unified framework for learning with label distribution.
Inf. Fusion, 2021

Incomplete Label Distribution Learning by Exploiting Global Sample Correlation.
Proceedings of the MULL'21: Multimedia Understanding with Less Labeling on Multimedia Understanding with Less Labeling, 2021

Ultra-High-Definition Image HDR Reconstruction via Collaborative Bilateral Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Similarity-based attribute reduction in rough set theory: a clustering perspective.
Int. J. Mach. Learn. Cybern., 2020

A co-training approach for sequential three-way decisions.
Int. J. Mach. Learn. Cybern., 2020

Constrained bilinear factorization multi-view subspace clustering.
Knowl. Based Syst., 2020

Active learning through label error statistical methods.
Knowl. Based Syst., 2020

Joint Label-Specific Features and Correlation Information for Multi-Label Learning.
J. Comput. Sci. Technol., 2020

Effort-Aware semi-Supervised just-in-Time defect prediction.
Inf. Softw. Technol., 2020

Constructing three-way concept lattice based on the composite of classical lattices.
Int. J. Approx. Reason., 2020

Multi-Label Learning with Local Similarity of Samples.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Privileged label enhancement with multi-label learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Tensor-based multi-view label enhancement for multi-label learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Weakly supervised label distribution learning based on transductive matrix completion with sample correlations.
Pattern Recognit. Lett., 2019

Uncertainty measures for interval set information tables based on interval <i>δ</i>-similarity relation.
Inf. Sci., 2019

A multiphase cost-sensitive learning method based on the multiclass three-way decision-theoretic rough set model.
Inf. Sci., 2019

Multi-objective attribute reduction in three-way decision-theoretic rough set model.
Int. J. Approx. Reason., 2019

Three-way decisions based feature fusion for Chinese irony detection.
Int. J. Approx. Reason., 2019

Rough Approximations on Two Universes Under a Mapping.
Proceedings of the Rough Sets - International Joint Conference, 2019

Incremental Sequential Three-Way Decision Using a Deep Stacked Autoencoder.
Proceedings of the Rough Sets - International Joint Conference, 2019

Effort-Aware Tri-Training for Semi-supervised Just-in-Time Defect Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Label Distribution Learning with Label Correlations via Low-Rank Approximation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Label distribution learning with label-specific features.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
An Optimization View on Intuitionistic Fuzzy Three-Way Decisions.
Proceedings of the Rough Sets - International Joint Conference, 2018

Label Distribution Learning by Exploiting Sample Correlations Locally.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Label Distribution Learning by Exploiting Label Correlations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

A Multi-objective Attribute Reduction Method in Decision-Theoretic Rough Set Model.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Adaptive Density Optimization of Lattice Structures Sustaining the External Multi-load.
Proceedings of the Image and Graphics - 9th International Conference, 2017

2016
Generalized attribute reduct in rough set theory.
Knowl. Based Syst., 2016

Neighborhood based decision-theoretic rough set models.
Int. J. Approx. Reason., 2016

A Decision-Theoretic Rough Set Approach to Multi-class Cost-Sensitive Classification.
Proceedings of the Rough Sets - International Joint Conference, 2016

Sentiment Analysis for Images on Microblogging by Integrating Textual Information with Multiple Kernel Learning.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Minimum cost attribute reduction in incomplete systems under decision-theoretic rough set model.
Proceedings of the 12th International Conference on Natural Computation, 2016

Minimum cost attribute reduction in three-way decisions based Bayesian network.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Multi-value image segmentation based on FCM algorithm and Graph Cut Theory.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Methods and Practices of Three-Way Decisions for Complex Problem Solving.
Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

A Classification Method for Imbalanced Data Based on SMOTE and Fuzzy Rough Nearest Neighbor Algorithm.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

How to Evaluate Three-Way Decisions Based Binary Classification?
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Sentiment Analysis on Microblogging by Integrating Text and Image Features.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014
Three-Way Decisions Versus Two-Way Decisions on Filtering Spam Email.
Trans. Rough Sets, 2014

On an optimization representation of decision-theoretic rough set model.
Int. J. Approx. Reason., 2014

2013
Minimum cost attribute reduction in decision-theoretic rough set models.
Inf. Sci., 2013

Video Behavior Analysis Using Topic Models and Rough Sets [Applications Notes].
IEEE Comput. Intell. Mag., 2013

Three-Way Decision Based Overlapping Community Detection.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

Two-Phase Classification Based on Three-Way Decisions.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

2012
Three-Way Decisions Solution to Filter Spam Email: An Empirical Study.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

2011
Incremental Versus Non-incremental: Data and Algorithms Based on Ordering Relations.
Int. J. Comput. Intell. Syst., 2011

Granular-Based Partial Periodic Pattern Discovery over Time Series Data.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

An Optimization Viewpoint of Decision-Theoretic Rough Set Model.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

2009
An Incremental Rule Induction Algorithm Based on Ordering Relations.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Lattice-valued interval sets and t-representable interval set t-norms.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2007
An Incremental Updating Algorithm for Core Computing in Dominance-Based Rough Set Model.
Proceedings of the Rough Sets, 2007

ROGAND: A Discretization Model.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
A New Extension Model of Rough Sets Under Incomplete Information.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006


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