Yanchao Tan

Orcid: 0000-0002-3526-6859

According to our database1, Yanchao Tan authored at least 25 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization.
IEEE Trans. Multim., 2024

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data.
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
Finding High-Quality Item Attributes for Recommendation.
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
Partial Relaxed Optimal Transport for Denoised Recommendation.
CoRR, 2022

Multi-Modal Fusion in Contact-Rich Precise Tasks via Hierarchical Policy Learning.
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

4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation.
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

Partial Relaxed Optimal Transport for Denoised Recommendation.
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
Multi-Facet Recommender Networks with Spherical Optimization.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019
FinBrain: when finance meets AI 2.0.
Frontiers Inf. Technol. Electron. Eng., 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


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