Author

Qiang Luo

Observed name: Luo, Qiang

Institution: Kuaishou (China)

Observed institution: Kuaishou (China)

ORCID: 0009-0000-8432-5168

Observed ORCID: 0009-0000-8432-5168

OpenAlex ID: A5126232853

Coarse-to-Fine Long-term Interest Modeling for Generative Recommendation

2026 · Shiteng Cao, Junda She, et al. · ACM Conference on Recommender Systems (RecSys)

WhisperRec: Latent Reasoning for Efficient Foundation Recommendation Models

2026 · Jiang, Hao, Du, Peiru, et al. · arXiv (Cornell University)

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POEM: Partial-Order Enhanced Real-Time Sequential Modeling for Recommendation

2026 · Che, Linxiao, Sun, Yijia, et al. · arXiv (Cornell University)

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From Extraction to Navigation: Progressive Retrieval with Indirectly Infinite Depth

2026 · Che, Linxiao, Huang, Shanshan, et al. · arXiv (Cornell University)

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AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems

2026 · Lao, Changxin, Pan, Fei, et al. · arXiv (Cornell University)

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OneReason Technical Report

2026 · OneRec Team, Yang, Biao, et al. · arXiv (Cornell University)

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MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation

2026 · Shan, Rong, Yu, Aofan, et al. · arXiv (Cornell University)

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GEMs: Breaking the Long-Sequence Barrier in Generative Recommendation with a Multi-Stream Decoder

2026 · Zhou, Yu, Guo, Chengcheng, et al. · arXiv (Cornell University)

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OneLive: Dynamically Unified Generative Framework for Live-Streaming Recommendation

2026 · Wang, Shen, Huang, Yusheng, et al. · arXiv (Cornell University)

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ALPBench: A Benchmark for Attribution-level Long-term Personal Behavior Understanding

2026 · Ren, Lu, She, Junda, et al. · arXiv (Cornell University)

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OneMall: One Architecture, More Scenarios -- End-to-End Generative Recommender Family at Kuaishou E-Commerce

2026 · Zhang, Kun, Zhang, Jingming, et al. · arXiv (Cornell University)

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Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers

2026 · Zhang, Zhiyang, She, Junda, et al. · arXiv (Cornell University)

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PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations

2026 · Guo, Chengcheng, Cai, Kuo, et al. · arXiv (Cornell University)

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Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers

2026 · Zhiyang Zhang, Junda She, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)

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Works count: 14

Citation count:

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