Linhao Luo

PhD student from Monash University.


Hello! I am Linhao Luo (罗林浩), a PhD student of computer science at Monash University advised by Prof. Shirui Pan, A/Prof. Yuan-Fang Li., and Prof. Reza Haffari.
My research interests mainly focus on the areas of artificial intelligence and data mining, especially for the graph neural network, knowledge graph, recommendation, and security.
Previously, I received my bachelor degree of computer science from Harbin Institute of Technology, Shenzhen. I have also worked at Tencent and Alibaba as an intern.

Contact: Linhao.Luo@monash.edu


  • [Code&data] Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
    Linhao Luo, Reza Haffari, Shirui Pan.
    WSDM 2023.

  • [Code&data] RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on.
    Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang and Yuan He.
    IJCAI 2022.

  • Why do Semantically Unrelated Categories Appear in the Same Session? A Demand-aware Method.
    Liqi Yang, Linhao Luo, Xiaofeng Zhang, Fengxin Li, Xinni Zhang, Zelin Jiang and Shuai Tang.
    Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, short (SIGIR 2022).

  • [Code&data] MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation.
    Luo, L., Li, Y., Gao, B., Tang, S., Wang, S., Li, J., … & Pan, S. (2022).
    arXiv preprint arXiv:2202.12524.

  • DCRS: a deep contrast reciprocal recommender system to simultaneously capture user interest and attractiveness for online dating.
    Linhao Luo, Xiaofeng Zhang, Xiaoyun Chen, Kai Liu, Dan Peng, Xiaofei Yang.
    Neural Comput & Applic (2022).

  • CP-GNN: A Software for Community Detection in Heterogeneous Information Networks. Linhao Luo,
    Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang.
    Software Impacts, 2021, 10: 100169.

  • [Code&data] Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model.
    Linhao Luo, Yixiang Fang, Xin Cao, Xiaofeng Zhang, Wenjie Zhang.
    In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (CIKM 2021), pp. 1170-1180.

  • Correlated Wasserstein Autoencoder for Implicit Data Recommendation.
    Yinlin Yao, Jinbing Zhong, Xiaofeng Zhang, Linhao Luo.
    In 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2020), pp. 417-422.

  • [Code&data] A Motif-based Graph Neural Network to Reciprocal Recommendation for Online Dating.
    Linhao Luo, Kai Liu, Dan Peng, Yaolin Ying, and Xiaofeng Zhang.
    27th International Conference on Neural Information Processing (ICONIP 2020)

  • Rrcn: A reinforced random convolutional network based reciprocal recommendation approach for online dating.
    Luo L, Yang L, Xin J, et al.
    arXiv preprint arXiv:2011.12586.

  • Structure Matters: Towards Generating Transferable Adversarial Images.
    Dan Peng, Zizhan Zheng, Linhao Luo and Xiaofeng Zhang.
    24th European Conference on Artificial Intelligence (ECAI 2020).

  • Deepbot: A Deep Neural Network Based Approach for Detecting Twitter Bots.
    Linhao Luo, Xiaofeng Zhang, Xiaofei Yang and Weihuang Yang.
    IOP Conference Series: Materials Science and Engineering, volume 719, number 1.


Journal Reviewer

Conference Reviewer