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Yuncheng Wu

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Towards Effective Orchestration of AI x DB Workloads

This paper formalizes AIxDB workloads as iterative, concurrent, and shareable executions that interleave relational and AI operators and Advocate-native orchestration as a paradigm for redesigning database engines for these workloads and distill two design principles: holistic AIxDB co-optimization and unified AIxDB ca...

Nai-Li Xing, Hao-Tian Gao, Zhan-Hao Zhao et al. · 0 citations
Jul 2026

SGN: A Similarity-based Generative Network for Data Generation under Distribution Shift

A Similarity-based Generative Network (SGN) is proposed, a reusable framework that is trained once on labeled source data and applied to new target domains without parameter updates, demonstrating the effectiveness of SGN for target-guided data augmentation under source-to-target distribution shifts.

Jia-Qi Zhu, Xincheng Chen, Yuncheng Wu et al. · 0 citations

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