Yanchao Tan
Orcid: 0000-0002-3526-6859
According to our database1,
Yanchao Tan
authored at least 25 papers
between 2017 and 2024.
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Bibliography
2024
Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization.
IEEE Trans. Multim., 2024
CoRR, 2024
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining.
CoRR, 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., August, 2023
Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression.
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
CoRR, 2022
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022
2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
2019
2018
Thermal-aware correlated two-level scheduling of real-time tasks with reduced processor energy on heterogeneous MPSoCs.
J. Syst. Archit., 2018
2017
Investment Recommendation with Total Capital Value Maximization in Online P2P Lending.
Proceedings of the 14th IEEE International Conference on e-Business Engineering, 2017