Xianghong Xu - RankMe

19 papers A* 2A 2B 2Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators. CoRR Xianghong Xu, Tieying Zhang, Xiao He, Haoyang Li, Rong Kang, Shuai Wang, Linhui Xu, Zhimin Liang, Shangyu Luo, Lei Zhang, Jianjun Chen
2025	J	`jnl`	PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models. CoRR Xianghong Xu, Xiao He, Tieying Zhang, Lei Zhang, Rui Shi, Jianjun Chen
2025	J	`jnl`	PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models. Proc. ACM Manag. Data Xianghong Xu, Xiao He, Tieying Zhang, Lei Zhang, Rui Shi, Jianjun Chen
2025	—	`conf`	Reproducibility Report for ACM SIGMOD 2025 Paper: 'PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models'. SIGMOD ARI Reports Qihao Cheng, Feng Yu, Xianghong Xu, Xiao He, Tieying Zhang
2025	J	`jnl`	VIDEX: A Disaggregated and Extensible Virtual Index for the Cloud and AI Era. CoRR Rong Kang, Shuai Wang, Tieying Zhang, Xianghong Xu, Linhui Xu, Zhimin Liang, Lei Zhang, Rui Shi, Jianjun Chen
2025	J	`jnl`	VIDEX: A Disaggregated and Extensible Virtual Index for the Cloud and AI Era. Proc. VLDB Endow. Rong Kang, Shuai Wang, Tieying Zhang, Xianghong Xu, Linhui Xu, Zhimin Liang, Lei Zhang, Rui Shi, Jianjun Chen
2025	J	`jnl`	ZeroCard: Cardinality Estimation with Zero Dependence on Target Databases - No Data, No Query, No Retraining. CoRR Xianghong Xu, Rong Kang, Xiao He, Lei Zhang, Jianjun Chen, Tieying Zhang
2024	J	`jnl`	AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators. Proc. VLDB Endow. Xianghong Xu, Tieying Zhang, Xiao He, Haoyang Li, Rong Kang, Wang Shuai, Linhui Xu, Zhimin Liang, Shangyu Luo, Lei Zhang, Jianjun Chen
2023	—	`conf`	COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations. VLDB Workshops Xianghong Xu, Zhibing Zhao, Tieying Zhang, Rong Kang, Luming Sun, Jianjun Chen
2023	J	`jnl`	COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations. CoRR Xianghong Xu, Zhibing Zhao, Tieying Zhang, Rong Kang, Luming Sun, Jianjun Chen
2023	A*	`conf`	Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation. SIGIR Kai Ouyang, Xianghong Xu, Miaoxin Chen, Zuotong Xie, Hai-Tao Zheng, Shuangyong Song, Yu Zhao
2023	J	`jnl`	Mining Interest Trends and Adaptively Assigning SampleWeight for Session-based Recommendation. CoRR Kai Ouyang, Xianghong Xu, Miaoxin Chen, Zuotong Xie, Hai-Tao Zheng, Shuangyong Song, Yu Zhao
2023	B	`conf`	Modeling Global-Local Subtopic Distribution with Hypergraph to Diversify Search Results. IJCNN Kai Ouyang, Xianghong Xu, Zuotong Xie, Hai-Tao Zheng, Yanxiong Lu
2023	A	`conf`	Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach. ECAI Xianghong Xu, Kai Ouyang, Hai-Tao Zheng, Wenqiang Liu
2023	B	`conf`	Self-supervised Bidirectional Prompt Tuning for Entity-enhanced Pre-trained Language Model. IJCNN Jiaxin Zou, Xianghong Xu, Jiawei Hou, Qiang Yan, Hai-Tao Zheng
2022	—	`conf`	Diversify Search Results Through Graph Attentive Document Interaction. DASFAA (1) Xianghong Xu, Kai Ouyang, Yin Zheng, Yanxiong Lu, Hai-Tao Zheng, Hong-Gee Kim
2022	A	`conf`	Modeling Latent Autocorrelation for Session-based Recommendation. CIKM Xianghong Xu, Kai Ouyang, Liuyin Wang, Jiaxin Zou, Yanxiong Lu, Hai-Tao Zheng, Hong-Gee Kim
2022	A*	`conf`	Self-Supervised Dual-Channel Attentive Network for Session-based Social Recommendation. ICDE Liuyin Wang, Xianghong Xu, Kai Ouyang, Huanzhong Duan, Yanxiong Lu, Hai-Tao Zheng
2022	—	`conf`	Social-aware Sparse Attention Network for Session-based Social Recommendation. EMNLP (Findings) Kai Ouyang, Xianghong Xu, Chen Tang, Wang Chen, Haitao Zheng