| 2026 | WWW | AliBoostV2: CTR-Growth Balanced Boosting Framework in Billion-Scale Recommendation Platform. | Qijie Shen, Yuanchen Bei, Zihong Huang, Xixian Wang, Zhibo Xiao, Dimin Wang, Jialin Zhu, Yuning Jiang, Feiran Huang, Hao Chen |
| 2026 | WWW | OMGRec: One-time Matching-based Generative Rerank with Permutation-level Modeling in E-commerce. | Junwei Xu, Zhibo Xiao, Chuxin Chen, Chengyu Lai, Qijie Shen, Jiuning Lin, Dimin Wang, Jialin Zhu, Xiao-Ping Zhang |
| 2025 | WSDM | Improving CTR Prediction with Graph-Enhanced Interest Networks for Sparse Behavior Sequences. | Xuanzhou Liu, Zhibo Xiao, Luwei Yang, Hansheng Xue, Jianxing Ma, Yujiu Yang |
| 2024 | CIKM | Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation. | Jianxing Ma, Zhibo Xiao, Luwei Yang, Hansheng Xue, Xuanzhou Liu, Wen Jiang, Wei Ning, Guannan Zhang |
| 2024 | WWW | On Practical Diversified Recommendation with Controllable Category Diversity Framework. | Tao Zhang, Luwei Yang, Zhibo Xiao, Wen Jiang, Wei Ning |
| 2024 | WSDM | Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation. | Zhibo Xiao, Luwei Yang, Tao Zhang, Wen Jiang, Wei Ning, Yujiu Yang |
| 2023 | MICCAI | The Value of Ensemble Learning Model Based on Conventional Non-Contrast MRI in the Pathological Grading of Cervical Cancer. | Zhimin He, Fajin Lv, Chengwei Li, Yang Liu, Zhibo Xiao |
| 2020 | CIKM | Deep Multi-Interest Network for Click-through Rate Prediction. | Zhibo Xiao, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Hao Wang |
| 2020 | ECIR | Dynamic Heterogeneous Graph Embedding Using Hierarchical Attentions. | Luwei Yang, Zhibo Xiao, Wen Jiang, Yi Wei, Yi Hu, Hao Wang |
| 2016 | FUSION | Constructing Bayesian networks by harvesting knowledge from online resources. | Zhibo Xiao, Tharini Nayanika de Silva, Chen Wei, Kezhi Mao, Gee Wah Ng |