PhD Data Science, School of DS, City University of Hong kong, HongKong 999077, China Tel: +852 66618290 Email: langmiliu2-c@my.cityu.edu.hk, liulangming.llm@alibaba-inc.com

About me

I am currently studying in Data Science school as a PhD candidate, supervised by Prof. Xiangyu Zhao, and my co-supervisor is Prof. Dingxuan Zhou. I got my science bachelor's degree in 2020 at Beihang University, majoring in Applied Mathematics.

My research interests are Large Language Models, Recommendation Systems, Federated Learning, and Reinforcement Learning.

Education experience

PhD: City University of Hong Kong (2020.9 ~ 2024.10) Study in City University (qs: 53) School: Data Science GPA: 4.05/4.3

Bachelor: Beihang University (2016.9 ~ 2020.7) Gruaduated from Beihang University (985, 211) School: Mathematics and Applied Mathematices GPA: 3.5/4.0

Paper

• Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. CIKM, 2025 (under review).

• ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models. KDD, 2025 (accepted).

• UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. KDD, 2025 (accepted).

• Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems. KDD, 2025 (accepted).

• Efficient and Robust Regularized Federated Recommendation. CIKM, 2024 (accepted).

• Analysis of Regularized Federated Learning. Neurocomputing (accepted).

• Deep Learning for Social Recommendation: A Survey. TOIS, 2023 (under review).

• LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. SIGIR, 2023 (accepted).