Zhiqiang Guo (郭志强)

Zhiqiang Guo (郭志强)

Postdoctoral Researcher at Tsinghua University

I am now a postdoctoral researcher at Department of Computer Science and Terchnology, Tsinghua University, working with Prof. Min Zhang. Before that, I received my PhD degree in School of Computer Science and Technology, Huazhong University of Science and Technology, supervised by Prof. Guohui Li and Prof. Jianjun Li.

My primary research interests include personalized recommendation, data mining, and user modeling. Currently, I’m working on multimodal recommendation, generative recommendation.

Education and Experience

  • Jul. 2024 - present. Postdoctoral researcher, Department of Computer Science and Technology, Tsinghua University.
  • Sep. 2020 - Jun. 2024. Ph.D., School of Computer Science and Technology, Huazhong University of Science and Technology.
  • Sep. 2018 - Jun. 2020. M.S., School of Computer Science and Technology, Huazhong University of Science and Technology.
  • Sep. 2014 - Jun. 2018. B.S., School of Mechanical, Electrical and Information Engineering, Shandong University.

Publications

  • LGMRec: Local and Global Graph Learning for Multimodal Recommendation.
    Zhiqiang Guo, Jianjun Li, Guohui Li, Chaoyang Wang, Si Shi, Bin Ruan.
    In: the 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024). [paper] [code]
  • DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation.
    Zhiqiang Guo, Guohui Li, Jianjun Li, Chaoyang Wang, Si Shi.
    In: the SIAM International Conference on Data Mining (SDM 2024). [paper] [code]
  • Extracting Latently Overlapping Users by Graph Neural Network for Non-Overlapping Cross-Domain Recommendation.
    Meng Liu, Jianjun Li, Zhiqiang Guo, Guohui Li.
    Knowledge-Based Systems (KBS 2024). [paper]
  • Knowledge-enhanced Multi-View Graph Neural Networks for Session-based Recommendation.
    Qian Chen, Zhiqiang Guo#, Jianjun Li, Guohui Li.
    In: the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023). [paper] [code]
  • Multi-view Multi-aspect Neural Networks for Next-basket Recommendation.
    Zhiying Deng, Jianjun Li, Zhiqiang Guo, Wei Liu, Li Zou, Guohui Li.
    In: the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023). [paper]
  • Attribute-enhanced Dual Channel Representation Learning for Session-based Recommendation.
    Qian Chen, Jianjun Li, Zhiqiang Guo, Guohui Li, Zhiying Deng.
    In: the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), short paper. [paper]
  • Multi-Aspect Interest Neighbor-Augmented Network for Next-Basket Recommendation.
    Zhiying Deng, Jianjun Li, Zhiqiang Guo, Guohui Li.
    In: the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). [paper]
  • Cross Domain Deep Collaborative Filtering without Overlapping Data.
    Meng Liu, Jianjun Li, Guohui Li, Zhiqiang Guo, Chaoyang Wang, Peng Pan.
    In: the 2023 International Joint Conference on Neural Networks (IJCNN 2023). [paper]
  • TopicVAE: Topic-aware Disentanglement Representation Learning for Enhanced Recommendation.
    Zhiqiang Guo, Guohui Li, Jianjun Li, Huaicong Chen.
    In: the 30th ACM International Conference on Multimedia (ACM MM 2022). [paper] [code]
  • MDGCF: Multi-Dependency Graph Collaborative Filtering with Neighborhood- and Homogeneous-level Dependencies.
    Guohui Li*, Zhiqiang Guo*, Jianjun Li, Chaoyang Wang.
    In: the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022). [paper] [code]
  • Joint Locality Preservation and Adaptive Combination for Graph Collaborative Filtering.
    Zhiqiang Guo, Chaoyang Wang, Zhi Li, Jianjun Li, Guohui Li.
    In: International Conference on Database Systems for Advanced Applications (DASFAA 2022). [paper] [code]
  • A Text-based Deep Reinforcement Learning Framework Using Self-supervised Graph Representation for Interactive Recommendation.
    Chaoyang Wang, Zhiqiang Guo, Jianjun Li, Guohui Li, Peng Pan.
    ACM/IMS Transactions on Data Science (TDS 2022). [paper]
  • DiCGAN: A Dilated Convolutional Generative Adversarial Network for Recommender Systems.
    Zhiqiang Guo, Chaoyang Wang, Jianjun Li, Guohui Li, Peng Pan.
    In: International Conference on Database Systems for Advanced Applications (DASFAA 2021). [paper] [code]
  • A light heterogeneous graph collaborative filtering model using textual information.
    Chaoyang Wang, Zhiqiang Guo, Guohui Li, Jianjun Li, Peng Pan, Ke Liu.
    Knowledge-Based Systems (KBS 2021). [paper]
  • A Text-Based Deep Reinforcement Learning Framework for Interactive Recommendation.
    Chaoyang Wang, Zhiqiang Guo, Jianjun Li, Peng Pan, Guohui Li.
    In: 24th European Conference on Artificial Intelligence (ECAI 2020). [paper]
  • DDFL: a deep dual function learning-based model for recommender systems.
    Syed Tauhid Ullah Shah, Jianjun Li, Zhiqiang Guo, Guohui Li, Quan Zhou.
    In: International Conference on Database Systems for Advanced Applications (DASFAA 2020). [paper]

Honors and Awards

  • 2024, Postdoctoral Fellowship Program (Grade B) of China Postdoctoral Science Foundation
  • 2024, Outstanding Graduate of Huazhong University of Science and Technology
  • 2022, National Scholarship for PhD students
  • 2022, Student Travel Grants for CIKM 2022
  • 2020, Outstanding Graduate of Huazhong University of Science and Technology
  • 2018, Outstanding Graduate of Shandong University

Academic Service

  • Journal Reviewer: TKDE, TOIS, KBS
  • Conference Reviewer: SIGKDD, TheWebConf, AAAI, ACM MM, CIKM