Modeling Latent Autocorrelation for Session-based Recommendation. - Xianghong Xu 001; Kai Ouyang; Liuyin Wang; Jiaxin Zou; Yanxiong Lu; Hai-Tao Zheng 002; Hong-Gee Kim (CIKM, 2022)

Diversify Search Results Through Graph Attentive Document Interaction. - Xianghong Xu 001; Kai Ouyang; Yin Zheng; Yanxiong Lu; Hai-Tao Zheng 002; Hong-Gee Kim (DASFAA (1), 2022)

Social-aware Sparse Attention Network for Session-based Social Recommendation. - Kai Ouyang; Xianghong Xu 001; Chen Tang; Wang Chen; Haitao Zheng 002 (EMNLP (Findings), 2022)

Self-Supervised Dual-Channel Attentive Network for Session-based Social Recommendation. - Liuyin Wang; Xianghong Xu 001; Kai Ouyang; Huanzhong Duan; Yanxiong Lu; Hai-Tao Zheng 002 (ICDE, 2022)

Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach. - Xianghong Xu 001; Kai Ouyang; Hai-Tao Zheng 002; Wenqiang Liu (ECAI, 2023)

Modeling Global-Local Subtopic Distribution with Hypergraph to Diversify Search Results. - Kai Ouyang; Xianghong Xu 001; Zuotong Xie; Hai-Tao Zheng 002; Yanxiong Lu (IJCNN, 2023)

Self-supervised Bidirectional Prompt Tuning for Entity-enhanced Pre-trained Language Model. - Jiaxin Zou; Xianghong Xu 001; Jiawei Hou; Qiang Yan 001; Hai-Tao Zheng 002 (IJCNN, 2023)

Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation. - Kai Ouyang; Xianghong Xu 001; Miaoxin Chen; Zuotong Xie; Hai-Tao Zheng 002; Shuangyong Song; Yu Zhao (SIGIR, 2023)

COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations. - Xianghong Xu 001; Zhibing Zhao; Tieying Zhang; Rong Kang; Luming Sun; Jianjun Chen 001 (VLDB Workshops, 2023)

Mining Interest Trends and Adaptively Assigning SampleWeight for Session-based Recommendation. - Kai Ouyang; Xianghong Xu 001; Miaoxin Chen; Zuotong Xie; Hai-Tao Zheng 002; Shuangyong Song; Yu Zhao (CoRR, 2023)

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators. - Xianghong Xu 001; Tieying Zhang; Xiao He 008; Haoyang Li; Rong Kang; Wang Shuai; Linhui Xu; Zhimin Liang; Shangyu Luo; Lei Zhang; Jianjun Chen 001 (Proc. VLDB Endow., 2024)

AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators. - Xianghong Xu 001; Tieying Zhang; Xiao He 008; Haoyang Li; Rong Kang; Shuai Wang; Linhui Xu; Zhimin Liang; Shangyu Luo; Lei Zhang; Jianjun Chen 001 (CoRR, 2025)

VIDEX: A Disaggregated and Extensible Virtual Index for the Cloud and AI Era. - Rong Kang; Shuai Wang; Tieying Zhang; Xianghong Xu 001; Linhui Xu; Zhimin Liang; Lei Zhang; Rui Shi; Jianjun Chen 001 (CoRR, 2025)

PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models. - Xianghong Xu 001; Xiao He 008; Tieying Zhang; Lei Zhang; Rui Shi; Jianjun Chen 001 (Proc. ACM Manag. Data, 2025)