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Hua Lu

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Book Open access Sep 2026

UniTraj: Cross-Domain Long-Sequence Modeling for Commercial Recommendation

Long-sequence modeling is increasingly important in recommender systems for capturing users’ evolving and long-term interests. In advertising, however, user interaction histories are often highly sparse due to limited exposure opportunities, making ad-only behavior sequences insufficient for effective long-sequence rec...

Xian Hu, Ming Yue, Zhi-Xiang Feng et al. · 0 citations
#artificial intelligence Preprint Oct 2026

SWEPatchTest: Evaluating Software Tests Beyond Reproduction

Coding agents use generated tests to decide whether a proposed patch satisfies an issue's requirements. A suite that fails on the buggy program and passes after applying the reference patch can still accept an incorrect patch or reject a correct patch. We introduce SWEPATCHTEST, a test-generation benchmark with 619 tas...

Hua Lu, Peng-Cheng Wang, Han-Yu Li et al. · 0 citations
Book Open access Sep 2026

UniTraj: Cross-Domain Long-Sequence Modeling for Commercial Recommendation

UniTraj, a practical framework that extends sequence construction beyond the advertising domain by incorporating behaviors from content-consumption scenarios, forming unified commercial trajectories across domains and scenarios, is proposed and deployed in a large-scale online advertising system.

Xian Hu, Ming Yue, Zhi-Xiang Feng et al. · 0 citations

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