Xianghong Xu

I currently work at ByteDance, focusing on artificial intelligence for data systems.
My research experience involves Information Retrieval, Recommender Systems, Pre-trained Language Models, Database, etc.

[Email] [Google Scholar] [ORCID]

Working Experience

• June 2023 - Present, R&D Engineer @ByteDance

Education

• August 2020 - June 2023, Master of Computer Technology, Tsinghua University
• August 2016 - June 2020, Bachelor of Computer Science and Technology, Xi'an Jiaotong University

Publications

1. PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models
   Xianghong Xu, Xiao He, Tieying Zhang, Lei Zhang, Rui Shi, Jianjun Chen
   SIGMOD 2025
2. AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators
   Xianghong Xu, Tieying Zhang, Xiao He, Haoyang Li, Rong Kang, Shuai Wang, Linhui Xu, Zhimin Liang, Shangyu Luo, Lei Zhang, Jianjun Chen
   VLDB 2025
3. COOOL: A Learning-To-Rank Approach for SQL Hint Recommendations
   Xianghong Xu, Zhibing Zhao, Tieying Zhang, Rong Kang, Luming Sun, Jianjun Chen
   VLDB 2023 Workshop
4. Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach
   Xianghong Xu*, Kai Ouyang*, Jiaxin Zou, Hai-Tao Zheng, Wenqiang Liu, Dongxiao Huang, Bei Wu
   ECAI 2023
5. 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
   SIGIR 2023
6. Self-supervised Bidirectional Prompt Tuning for Entity-enhanced Pre-trained Language Model
   Jiaxin Zou, Xianghong Xu, Jiawei Hou, Qiang Yan, Hai-Tao Zheng
   IJCNN 2023
7. Modeling Global-Local Subtopic Distribution with Hypergraph to Diversify Search Results
   Kai Ouyang*, Xianghong Xu*, Zuotong Xie, Hai-Tao Zheng, Yanxiong Lu
   IJCNN 2023
8. Social-aware Sparse Attention Network for Session-based Social Recommendation
   Kai Ouyang*, Xianghong Xu*, Chen Tang, Wang Chen, Hai-Tao Zheng
   EMNLP 2022
9. Modeling Latent Autocorrelation for Session-based Recommendation
   Xianghong Xu*, Kai Ouyang*, Liuyin Wang, Jiaxin Zou, Yanxiong Lu, Hai-Tao Zheng, Hong-Gee Kim
   CIKM 2022
10. Self-Supervised Dual-Channel Attentive Network for Session-based Social Recommendation
    Liuyin Wang*, Xianghong Xu*, Kai Ouyang, Huanzhong Duan, Yanxiong Lu, Hai-Tao Zheng
    ICDE 2022
11. Diversify Search Results Through Graph Attentive Document Interaction
    Xianghong Xu*, Kai Ouyang*, Yin Zheng, Yanxiong Lu, Hai-Tao Zheng, Hong-Gee Kim
    DASFAA 2022