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Yucen Gao

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Book Open access Jul 2026

Cross-Domain Interest Representation Learning for Scenario- and Task-Aware Recommendation

Following the modular decomposition of industrial recommenders, STAR-CDR introduces three innovations: a CDI Extractor that enhances sequential modeling with domain indicators and other key features, and a CDI Injector that recalibrates activations and enables domain-/scenario-/task-aware expert routing.

Bokai Lin, Nai-Jun Gao, Yucen Gao et al. · 0 citations
Conference Open access Sep 2026

PID-Controlled Constrained RL for Hub-based Joint Pricing, Dispatching, and Routing with Service Guarantees

PID-SACA is proposed, a unified framework that integrates an entropy-regularized actor--critic policy for continuous pricing and dispatching assisted by an embedded routing solver for execution-aware feedback that significantly outperforms baselines, achieving high revenue with stable service compliance.

Pengfei Du, Yucen Gao, Bing Wang et al. · 0 citations

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