Xinhang Li

Orcid: 0000-0001-8294-0589

Affiliations:
  • Tsinghua Univerisity, China


According to our database1, Xinhang Li authored at least 12 papers between 2022 and 2024.

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

Timeline

2022
2023
2024
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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2024
Corrections to "Contrastive Graph Pooling for Explainable Classification of Brain Networks".
IEEE Trans. Medical Imaging, November, 2024

Contrastive Graph Pooling for Explainable Classification of Brain Networks.
IEEE Trans. Medical Imaging, September, 2024

Conditional Cross-Platform User Engagement Prediction.
ACM Trans. Inf. Syst., January, 2024

OpenSiteRec: An Open Dataset for Site Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Optimal Transport Enhanced Cross-City Site Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023
E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation.
CoRR, 2023

OpenSiteRec: An Open Dataset for Site Recommendation.
CoRR, 2023

IMF: Interactive Multimodal Fusion Model for Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023

Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Jointly Learning Knowledge Embedding and Neighborhood Consensus with Relational Knowledge Distillation for Entity Alignment.
CoRR, 2022

Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022


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