Papers by Kuangrong Hao
Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast (2024.lrec-main)
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| Challenge: | Existing studies on relation extraction focus on document-level training without sharing raw medical texts. |
| Approach: | They propose a federated framework for relation extraction that enables collaborative training without sharing raw medical texts. |
| Outcome: | The proposed framework extends document-level relation extraction to a federated environment. |
IDC: Boost Text-to-image Retrieval via Indirect and Direct Connections (2024.lrec-main)
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| Challenge: | Dual Encoders (DE) and Cross Attention (CA) frameworks for image and text retrieval are more accurate but slower. |
| Approach: | They propose a dual encoders-based approach to map image and text inputs into a coordinated representation space and calculate their similarity directly. |
| Outcome: | Extensive experiments on the MSCOCO and Flickr30K datasets validate the effectiveness of the proposed methods. |