| 2025 | SIGMOD | Reproducibility Report for ACM SIGMOD 2025 Paper: 'PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models'. | Qihao Cheng, Feng Yu, Xianghong Xu, Xiao He, Tieying Zhang |
| 2023 | ECAI | Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach. | Xianghong Xu, Kai Ouyang, Hai-Tao Zheng, Wenqiang Liu |
| 2023 | IJCNN | Modeling Global-Local Subtopic Distribution with Hypergraph to Diversify Search Results. | Kai Ouyang, Xianghong Xu, Zuotong Xie, Hai-Tao Zheng, Yanxiong Lu |
| 2023 | IJCNN | Self-supervised Bidirectional Prompt Tuning for Entity-enhanced Pre-trained Language Model. | Jiaxin Zou, Xianghong Xu, Jiawei Hou, Qiang Yan, Hai-Tao Zheng |
| 2023 | SIGIR | Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation. | Kai Ouyang, Xianghong Xu, Miaoxin Chen, Zuotong Xie, Hai-Tao Zheng, Shuangyong Song, Yu Zhao |
| 2023 | VLDB | COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations. | Xianghong Xu, Zhibing Zhao, Tieying Zhang, Rong Kang, Luming Sun, Jianjun Chen |
| 2022 | CIKM | Modeling Latent Autocorrelation for Session-based Recommendation. | Xianghong Xu, Kai Ouyang, Liuyin Wang, Jiaxin Zou, Yanxiong Lu, Hai-Tao Zheng, Hong-Gee Kim |
| 2022 | DASFAA | Diversify Search Results Through Graph Attentive Document Interaction. | Xianghong Xu, Kai Ouyang, Yin Zheng, Yanxiong Lu, Hai-Tao Zheng, Hong-Gee Kim |
| 2022 | EMNLP | Social-aware Sparse Attention Network for Session-based Social Recommendation. | Kai Ouyang, Xianghong Xu, Chen Tang, Wang Chen, Haitao Zheng |
| 2022 | ICDE | Self-Supervised Dual-Channel Attentive Network for Session-based Social Recommendation. | Liuyin Wang, Xianghong Xu, Kai Ouyang, Huanzhong Duan, Yanxiong Lu, Hai-Tao Zheng |