Hengliang Luo — accepted AI-conference papers

2026

DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions

Jitong Dou, Lingrui Luo, Bing Zhu, Hengliang Luo, Mingjun Zhong, Yurong Cheng

AAAI 2026technical

Estimating counterfactual outcomes from observational data is critical for informed decision-making in domains such as personalized marketing, healthcare, and online platforms. In these contexts, decision processes frequently involve high-dimensional combinatorial interventions, including bundled ch

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2025

Open-Set Living Need Prediction with Large Language Models

Xiaochong Lan, Jie Feng, Yizhou Sun, Chen Gao, Jiahuan Lei, Xinleishi Xinleishi +2

ACL 2025finding

Living needs are the needs people generate in their daily lives for survival and well-being. On life service platforms like Meituan, user purchases are driven by living needs, making accurate living need predictions crucial for personalized service recommendations. Traditional approaches treat this…

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