刘朗鸣 (LIU Langming)
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PhD |
About me
I am currently working in Taobao & Tmall Group of Alibaba as a senior algorithm engineer.
I earned my PhD in Data Science under the supervision of Prof. Xiangyu Zhao, with Prof. Dingxuan Zhou as my co-supervisor. I received my science bachelor's degree in 2020 from Beihang University, where I majored in Applied Mathematics.
My research interests include Large Language Models, Recommendation Systems, Federated Learning, and Reinforcement Learning.
Education experience
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PhD: City University of Hong Kong (2020.9 ~ 2024.10)
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Bachelor: Beihang University (2016.9 ~ 2020.7)
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Paper
Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. KDD, 2026 (CCF-A Conference, Under Review). https://arxiv.org/abs/2502.08309
Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. CIKM, 2025 (CCF-B Conference, Accepted). https://arxiv.org/abs/2503.15990
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models. KDD, 2025 (CCF-A Conference, Accepted). https://arxiv.org/abs/2502.20196
UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. KDD, 2025 (CCF-A Conference, Accepted). https://arxiv.org/abs/2502.19178
Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems. KDD, 2025 (CCF-A Conference, Accepted). https://arxiv.org/abs/2506.23090
Efficient and Robust Regularized Federated Recommendation. CIKM, 2024 (CCF-B Conference, Accepted). https://arxiv.org/abs/2411.01540
Analysis of Regularized Federated Learning. Neurocomputing (SCI-Q2 Journal, Accepted). https://arxiv.org/abs/2411.01548
Deep Learning for Social Recommendation: A Survey. TOIS, 2023 (CCF-A Journal, Under Review).
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. SIGIR, 2023 (CCF-A Conference, Accepted). https://arxiv.org/abs/2411.01537