Yingxu Wang — accepted AI-conference papers

2026

DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS

Yingxu Wang, Shiqi Fan, Mengzhu Wang, Siyang Gao, Chao Wang, Nan Yin

ICLR 2026poster

Knowledge Graph Question Answering (KGQA) aims to interpret natural language queries and perform structured reasoning over knowledge graphs by leveraging their relational and semantic structures to retrieve accurate answers. Existing methods primarily follow either the retrieve-then-reason paradigm,…

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2026

Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning

Yingxu Wang, Mengzhu Wang, Zhichao Huang, Suyu Liu, Nan Yin

AAAI 2026technical

Graph Domain Adaptation (GDA) facilitates knowledge transfer from labeled source graphs to unlabeled target graphs by learning domain-invariant representations, which is essential in applications such as molecular property prediction and social network analysis. However, most existing GDA methods re

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