Haiyang Xia

Orcid: 0000-0002-0363-1460

Affiliations:
  • Australian National University, Research School of Management, Canberra, Australia


According to our database1, Haiyang Xia authored at least 14 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning.
CoRR, April, 2026

2025
HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

CANTER: A Novel Causal Model for Tourism Demand Forecasting.
Proceedings of the Data Science: Foundations and Applications, 2025

2024
Improving neural network's robustness on tabular data with D-layers.
Data Min. Knowl. Discov., January, 2024

2023
Advancing reliability assessment of venue-reference social media data for enhanced domestic tourism development.
J. Inf. Technol. Tour., September, 2023

Toward Explainable Recommendation via Counterfactual Reasoning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2020
Analysis of students' learning and psychological features by contrast frequent patterns mining on academic performance.
Neural Comput. Appl., 2020

2018
Group Outlying Aspects Mining.
Proceedings of the Knowledge Science, Engineering and Management, 2018

2017
Fine-Grained Recommendation Mechanism to Curb Astroturfing in Crowdsourcing Systems.
IEEE Access, 2017

A Weighted Non-monotonic Averaging Image Reduction Algorithm.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Beyond the Aggregation of Its Members - A Novel Group Recommender System from the Perspective of Preference Distribution.
Proceedings of the Knowledge Science, Engineering and Management, 2017

2016
Discovering the Academic Situation of Students by Relationship Mining.
Proceedings of the 4th International Conference on Enterprise Systems, 2016

Prediction of the Scholarship Using Comprehensive Development.
Proceedings of the 4th International Conference on Enterprise Systems, 2016

Discovering Learning Patterns of Male and Female Students by Contrast Targeted Rule Mining.
Proceedings of the 4th International Conference on Enterprise Systems, 2016


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