Wuzhenghong Wen — accepted AI-conference papers

2026

Reinforcement Learning Enhanced Muti-hop Reasoning for Temporal Knowledge Question Answering

Wuzhenghong Wen, Chao Xue, Su Pan, Yuwei Sun, Minlong Peng

AAAI 2026technical

Temporal knowledge graph question answering (TKGQA) involves multi-hop reasoning over temporally constrained entity relationships in the knowledge graph to answer a given question. However, at each hop, large language models (LLMs) retrieve subgraphs with numerous temporally similar and semanticall

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2026

TEMPORAL-AWARE HETEROGENEOUS GRAPH REASONING WITH MULTI-VIEW FUSION FOR TEMPORAL QUESTION ANSWERING

Wuzhenghong Wen, Bowen Zhou, Yuwei Sun, Liang Li

ICASSP 2026poster

Question Answering over Temporal Knowledge Graphs (TKGQA) has attracted growing interest for handling time-sensitive queries. However, existing methods still struggle with: 1) weak incorporation of temporal constraints in question representation, causing biased reasoning; 2) limited ability to perfo…

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