Dan He — accepted AI-conference papers

2023

Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation

Dan He, Minh-Quang PHAM, Thanh-Le Ha, Marco Turchi

EMNLP 2023long main

Multilingual neural machine translation (MNMT) offers the convenience of translating between multiple languages with a single model. However, MNMT often suffers from performance degradation in high-resource languages compared to bilingual counterparts. This degradation is commonly attributed to para…

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2023

Heterogeneous Region Embedding with Prompt Learning

Silin Zhou, Dan He, Lisi Chen, Shuo Shang, Peng Han

AAAI 2023technical

The prevalence of region-based urban data has opened new possibilities for exploring correlations among regions to improve urban planning and smart-city solutions. Region embedding, which plays a critical role in this endeavor, faces significant challenges related to the varying nature of city data…

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