Xiaoru Qu

Beijing, China Email Google Scholar

I am a machine learning engineer at Kuaishou Technology. From 2024 to 2026, I worked on recommender systems. Since 2026, my work has focused on multimodal understanding.

I received my Ph.D. in Computer Science from Peking University in 2024, advised by Prof. Jun Gao. My doctoral research centered on user-oriented e-commerce review analysis, including review helpfulness prediction and personalized review generation for users with different activity levels. I received my B.S. in Computer Science from Peking University in 2018.

Career & Education History

  • Researcher, Kuaishou Technology, 2024 - Present
  • PhD student, Peking University, 2018 - 2024
  • Undergraduate student, Peking University, 2014 - 2018

Research Interests

  • Multimodal understanding, 2026 - Present
  • Recommender system, 2024 - 2026
  • GNNs, review helpfulness prediction, review generation, 2018 - 2024

Publications

  • Unifying User Satisfaction and Creator Incentive: A Constrained Optimization Framework for Short-Video Recommendation

    Xiaoru Qu*, Dingyi Zhang*, Zhangxi Yan, Peng Zhang, Hu Liu, Yang Zou, Jian Liang, Kaiqiao Zhan

    SIGIR 2026 · paper · * Equal contribution

  • Graph-Enhanced Prompt Learning for Personalized Review Generation

    Xiaoru Qu, Yifan Wang, Zhao Li, Jun Gao

    Data Sci. Eng. 2024 · paper

  • SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning

    Jialin Wang*, Xiaoru Qu*, Jinze Bai, Zhao Li, Ji Zhang, Jun Gao

    IEEE TKDE 2023 · paper · * Equal contribution

  • A Subgraph-based Knowledge Reasoning Method for Collective Fraud Detection in E-commerce

    Junshuai Song, Xiaoru Qu, Zehong Hu, Zhao Li, Jun Gao, Ji Zhang

    Neurocomputing 2021 · paper

  • Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction

    Xiaoru Qu, Zhao Li, Jialin Wang, Zhipeng Zhang, Pengcheng Zou, Junxiao Jiang, Jiaming Huang, Rong Xiao, Ji Zhang, Jun Gao

    CIKM 2020 · paper

  • Personalized Bundle List Recommendation

    Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao

    WWW 2019 · paper