Xin Yang

Orcid: 0000-0002-0406-6774

Affiliations:
  • Southwestern University of Finance and Economics, China
  • Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
  • Sichuan Technology and Business University, School of Computer Science, Chengdu, China
  • University of Regina, Department of Computer Science, SK, Canada


According to our database1, Xin Yang authored at least 58 papers between 2017 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Cross-Regional Fraud Detection via Continual Learning With Knowledge Transfer.
IEEE Trans. Knowl. Data Eng., December, 2024

Open Continual Feature Selection via Granular-Ball Knowledge Transfer.
IEEE Trans. Knowl. Data Eng., December, 2024

Three-way open intent classification with nearest centroid-based representation.
Inf. Sci., 2024

Hi-Core: Hierarchical Knowledge Transfer for Continual Reinforcement Learning.
CoRR, 2024

Continual three-way decisions via knowledge transfer.
Appl. Soft Comput., 2024

Overcoming Spatial-Temporal Catastrophic Forgetting for Federated Class-Incremental Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Personalized Federated Continual Learning via Multi-Granularity Prompt.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning to Prompt Knowledge Transfer for Open-World Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Feature selection in threes: Neighborhood relevancy, redundancy, and granularity interactivity.
Appl. Soft Comput., October, 2023

Multi-granularity stock prediction with sequential three-way decisions.
Inf. Sci., April, 2023

Dual-grained human mobility learning for location-aware trip recommendation with spatial-temporal graph knowledge fusion.
Inf. Fusion, April, 2023

When Friendship Meets Sequential Human Check-ins: Inferring Social Circles with Variational Mobility.
Neurocomputing, 2023

A review of sequential three-way decision and multi-granularity learning.
Int. J. Approx. Reason., 2023

Federated Continual Learning via Knowledge Fusion: A Survey.
CoRR, 2023

CL-WSTC: Continual Learning for Weakly Supervised Text Classification on the Internet.
Proceedings of the ACM Web Conference 2023, 2023

Granular-Ball Three-Way Decision.
Proceedings of the Rough Sets - International Joint Conference, 2023

Debunking Free Fusion Myth: Online Multi-view Anomaly Detection with Disentangled Product-of-Experts Modeling.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Cross-Regional Fraud Detection via Continual Learning (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Hierarchical Fuzzy Rough Approximations With Three-Way Multigranularity Learning.
IEEE Trans. Fuzzy Syst., 2022

Mixed data-driven sequential three-way decision via subjective-objective dynamic fusion.
Knowl. Based Syst., 2022

Self-supervised representation learning for trip recommendation.
Knowl. Based Syst., 2022

A unified incremental updating framework of attribute reduction for two-dimensionally time-evolving data.
Inf. Sci., 2022

Three-way multi-granularity learning towards open topic classification.
Inf. Sci., 2022

Temporal-spatial three-way granular computing for dynamic text sentiment classification.
Inf. Sci., 2022

Incremental rough reduction with stable attribute group.
Inf. Sci., 2022

Three-way conflict analysis based on alliance and conflict functions.
Inf. Sci., 2022

Granular cabin: An efficient solution to neighborhood learning in big data.
Inf. Sci., 2022

Dynamic three-way neighborhood decision model for multi-dimensional variation of incomplete hybrid data.
Inf. Sci., 2022

Contextual spatio-temporal graph representation learning for reinforced human mobility mining.
Inf. Sci., 2022

Hierarchical neighborhood entropy based multi-granularity attribute reduction with application to gene prioritization.
Int. J. Approx. Reason., 2022

Forgetting Prevention for Cross-regional Fraud Detection with Heterogeneous Trade Graph.
CoRR, 2022

Neighborhood rough set based ensemble feature selection with cross-class sample granulation.
Appl. Soft Comput., 2022

3WS-ITSC: Three-Way Sampling on Imbalanced Text Data for Sentiment Classification.
Proceedings of the Rough Sets - International Joint Conference, 2022

ROSES: A Novel Semi-supervised Feature Selector.
Proceedings of the Intelligent Information Processing XI, 2022

2021
Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations.
Inf. Sci., 2021

Self-supervised Representation Learning for Trip Recommendation.
CoRR, 2021

A Framework for Feature Construction Based on Neighborhood Rough Set.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

2020
Three-way decisions: beyond rough sets and granular computing.
Int. J. Mach. Learn. Cybern., 2020

Quickly calculating reduct: An attribute relationship based approach.
Knowl. Based Syst., 2020

Dynamic dominance rough set approach for processing composite ordered data.
Knowl. Based Syst., 2020

Local temporal-spatial multi-granularity learning for sequential three-way granular computing.
Inf. Sci., 2020

A multilevel neighborhood sequential decision approach of three-way granular computing.
Inf. Sci., 2020

Incremental three-way neighborhood approach for dynamic incomplete hybrid data.
Inf. Sci., 2020

Urban flow prediction from spatiotemporal data using machine learning: A survey.
Inf. Fusion, 2020

Urban big data fusion based on deep learning: An overview.
Inf. Fusion, 2020

2019
An efficient selector for multi-granularity attribute reduction.
Inf. Sci., 2019

A temporal-spatial composite sequential approach of three-way granular computing.
Inf. Sci., 2019

A sequential three-way approach to multi-class decision.
Int. J. Approx. Reason., 2019

Urban flows prediction from spatial-temporal data using machine learning: A survey.
CoRR, 2019

A Hash Method for Calculating Rough Set Approximations.
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

2018
监督邻域粗糙集 (Supervised Neighborhood Rough Set).
计算机科学, 2018

基于决策粗糙集的广义序贯三支决策方法 (Generalized Sequential Three-way Decisions Approach Based on Decision-theoretic Rough Sets).
计算机科学, 2018

Dynamic composite decision-theoretic rough set under the change of attributes.
Int. J. Comput. Intell. Syst., 2018

Composite Sequential Three-Way Decisions.
Proceedings of the Rough Sets - International Joint Conference, 2018

2017
A unified model of sequential three-way decisions and multilevel incremental processing.
Knowl. Based Syst., 2017

A unified framework of dynamic three-way probabilistic rough sets.
Inf. Sci., 2017


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