Preprint

• A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
  Kexin Zhang, Shuhan Liu, Song Wang, Weili Shi, Chen Chen, Pan Li, Sheng Li, Jundong Li, Kaize Ding^†.
  

Conference/Journal Papers (* indicates equal contributions)

• Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
  Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, Xue Liu
  ACM International Conference on Web Search and Data Mining (WSDM), 2025.
  
• An Incremental Learning Approach for Multi-Scenario Recommendation
  Kexin Zhang*, Yichao Wang*, Xiu Li^†, Ruiming Tang^†, Rui Zhang
  ACM International Conference on Web Search and Data Mining (WSDM), 2024.
  
• HCL4QC: Incorporating Hierarchical Category Structures Into Contrastive Learning for Ecommerce Query Classification
  Lvxing Zhu*, Kexin Zhang*, Hao Chen, Chao Wei, Weiru Zhang, Haihong Tang, Xiu Li^†
  ACM International Conference on Information and Knowledge Management (CIKM), 2023. (Oral Presentation)