Conference Papers

• Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, and Xing Xie. “Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations.” In International Conference on Web Search and Data Mining (WSDM), 2022. [paper] [code]
  

• Zhuolin Wu, Li Wang, Fangsheng Huang, Linjun Zhou, Yu Song, Chengpeng Ye, Pengyu Nie, Hao Ren, Jinghua Hao, Renqing He, and Zhizhao Sun. “A Framework for Multi-stage Bonus Allocation in Meal Delivery Platform.” In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022. [paper]
  

• Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, and Hai Jin. “Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder.” In International Conference on Database Systems for Advanced Applications (DASFAA), 2020. [paper] [code]

Journal Papers

• • Hong Huang, Mingyuan Chi, Yu Song, and Hai Jin, "Mining World Indicators for Analyzing and Modeling the Development of Countries." ACM/IMS Transactions on Data Science (TDS) 2.4 (2022): 1-27. [paper]

• Hai Jin, Yao Wu, Hong Huang, Yu Song, Haohui Wei, and Xuanhua Shi, "Modeling Information Diffusion with Sequential Interactive Hypergraphs." IEEE Transactions on Sustainable Computing (T-SUSC) (2022). [paper]

• • Yao Wu, Yu Song, Hong Huang, Fanghua Ye, Xing Xie, and Hai Jin. “Enhancing Graph Neural Networks via Auxiliary Training for Semi-Supervised Node Classification.” Knowledge-Based Systems (KBS) 220 (2021): 106884. [paper] [code]
    

  • Hong Huang, Yu Song, Yao Wu, Jia Shi, Xia Xie, and Hai Jin, “Multi-Task Representation Learn- ing with Multi-View Graph Convolutional Networks.” IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 33 (2020): 983-995. [paper] [code]
    

  • Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, and Hai Jin. “Multi-Stage Network Embedding for Exploring Heterogeneous Edges.” ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (2020): 1-27. [paper] [code]