Jiangxia Cao

Orcid: 0000-0003-2681-0119

According to our database1, Jiangxia Cao authored at least 19 papers between 2020 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process.
CoRR, 2024

2023
Disentangled Representations Learning for Multi-target Cross-domain Recommendation.
ACM Trans. Inf. Syst., October, 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.
CoRR, 2023

Towards Universal Cross-Domain Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

ID-MixGCL: Identity Mixup for Graph Contrastive Learning.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DisenCDR: Learning Disentangled Representations for 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

Item Similarity Mining for Multi-Market Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Contrastive Cross-Domain Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Bipartite Graph Embedding via Mutual Information Maximization.
Proceedings of the WSDM '21, 2021

Heterogeneous Graph Neural Networks for Query-focused Summarization.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Deep Structural Point Process for Learning Temporal Interaction Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
HIN: Hierarchical Inference Network for Document-Level Relation Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020


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