Xiaodong Li

According to our database, Xiaodong Li authored at least 22 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hybrid Dual-Semantics Modeling for Enhancing Large Language Model Based Recommendation.

Canyi Liu, Tianyi Li, Wei Li, Youchen Zhang, Xiaodong Li, Hui Li

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

Hypergraph-Enhanced Multi-Granularity Stochastic Weight Completion in Sparse Road Networks.

Xiaolin Han, Yikun Zhang, Chenhao Ma, Xuequn Shang, Reynold Cheng, Tobias Grubenmann, Xiaodong Li

ACM Trans. Knowl. Discov. Data, April, 2025

Detection, Measurement, and Mitigation of Echo Chambers in Social Networks: A Survey.

Xianju Zhu, Reynold Cheng, Laks V. S. Lakshmanan, Xiaodong Li, Chenhao Ma, Mohammad Matin Najafi

IEEE Data Eng. Bull., 2025

Are Large Language Models Ready for Multi-Turn Tabular Data Analysis?

Jinyang Li, Nan Huo, Yan Gao, Jiayi Shi, Yingxiu Zhao, Ge Qu, Bowen Qin, Yurong Wu, Xiaodong Li, Chenhao Ma, Jian-Guang Lou, Reynold Cheng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

MuSha: Subgraph Matching by Multilevel Sharing.

Hongtai Cao, Qihao Wang, Xiaodong Li, Mohammad Matin Najafi, Kevin Chen-Chuan Chang, Reynold Cheng

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

SC-DAG: Semantic-Constrained Diffusion Attacks for Stealthy Exposure Manipulation in Visually-Aware Recommender Systems.

Ze Lin, Yuqiu Qian, Xiaodong Li, Ziyu Lyu, Hui Li

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Micro-Act: Mitigate Knowledge Conflict in Question Answering via Actionable Self-Reasoning.

Nan Huo, Jinyang Li, Bowen Qin, Ge Qu, Xiaolong Li, Xiaodong Li, Chenhao Ma, Reynold Cheng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

ZeroEA: A Zero-Training Entity Alignment Framework via Pre-Trained Language Model.

Nan Huo, Reynold Cheng, Ben Kao, Wentao Ning, Nur Al Hasan Haldar, Xiaodong Li, Jinyang Li, Mohammad Matin Najafi, Tian Li, Ge Qu

Proc. VLDB Endow., March, 2024

Accelerating directed densest subgraph queries with software and hardware approaches.

Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han, Xiaodong Li

VLDB J., January, 2024

FDM: Effective and efficient incident detection on sparse trajectory data.

Xiaolin Han, Tobias Grubenmann, Chenhao Ma, Xiaodong Li, Wenya Sun, Sze Chun Wong, Xuequn Shang, Reynold Cheng

Inf. Syst., 2024

From Motif to Path: Connectivity and Homophily.

Qihao Wang, Hongtai Cao, Xiaodong Li, Kevin Chen-Chuan Chang, Reynold Cheng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Large Subgraph Matching: A Comprehensive and Efficient Approach for Heterogeneous Graphs.

Hongtai Cao, Qihao Wang, Xiaodong Li, Matin Najafi, Kevin Chen-Chuan Chang, Reynold Cheng

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

MOSER: Scalable Network Motif Discovery using Serial Test.

Mohammad Matin Najafi, Chenhao Ma, Xiaodong Li, Reynold Cheng, Laks V. S. Lakshmanan

Proc. VLDB Endow., November, 2023

2022

The Social Technology and Research (STAR) Lab in the University of Hong Kong.

Reynold Cheng, Chenhao Ma, Xiaodong Li, Yixiang Fang, Ye Liu, Victor Y. L. Wong, Esther Lee, Tai Hing Lam, Sai Yin Ho, Man Ping Wang, Weijie Gong, Wentao Ning, Ben Kao

SIGMOD Rec., 2022

Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks.

Xiaolin Han, Reynold Cheng, Tobias Grubenmann, Silviu Maniu, Chenhao Ma, Xiaodong Li

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

2021

On Analyzing Graphs with Motif-Paths.

Xiaodong Li, Reynold Cheng, Kevin Chen-Chuan Chang, Caihua Shan, Chenhao Ma, Hongtai Cao

Proc. VLDB Endow., 2021

2020

Traffic Incident Detection: A Trajectory-based Approach.

Xiaolin Han, Tobias Grubenmann, Reynold Cheng, Sze Chun Wong, Xiaodong Li, Wenya Sun

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

M-Cypher: A GQL Framework Supporting Motifs.

Xiaodong Li, Reynold Cheng, Matin Najafi, Kevin Chen-Chuan Chang, Xiaolin Han, Hongtai Cao

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

On Spatial-Aware Community Search.

Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen

IEEE Trans. Knowl. Data Eng., 2019

LINC: A Motif Counting Algorithm for Uncertain Graphs.

Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Tobias Grubenmann, Yixiang Fang, Xiaodong Li

Proc. VLDB Endow., 2019

2018

Scalable Evaluation of k-NN Queries on Large Uncertain Graphs.

Xiaodong Li, Reynold Cheng, Yixiang Fang, Jiafeng Hu, Silviu Maniu

Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017

Effective Community Search over Large Spatial Graphs.

Yixiang Fang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu

Proc. VLDB Endow., 2017