Yuguang Liu — accepted AI-conference papers

2026

ALM-MTA: Front-Door Causal Multi-Touch Attribution Method for Creator-Ecosystem Optimization

Yuguang Liu, Luyao Xia, Hu Liu, yanzhangxi, Jian Liang, Han Li +1

ICLR 2026poster

Consumption‑Drives‑Production (CDP) on social platforms aims to deliver interpretable incentive signals for creator‑ecosystem building and resource utilization improvement, which strongly relies on attributions. In large-scale and complex recommendation system, the absence of accurate labels togethe…

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2025

Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations

Yuguang Liu, Yiyun Miao, Luyao Xia

AAAI 2025technical

Multi-task learning (MTL) has emerged as a successful strategy in industrial-scale recommender systems, offering significant advantages such as capturing diverse users’ interests and accurately detecting different behaviors like “click" or “dwell time". However, negative transfer and the seesaw phen…

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