Xiaolin Han

According to our database, Xiaolin Han authored at least 19 papers between 2019 and 2025.

Collaborative distances:

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

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

Finding Locally Densest Subgraphs: Convex Programming with Edge and Triangle Density.

Yi Yang, Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han

CoRR, April, 2025

Cross-modal multi-relational graph reasoning: A novel model for multimodal textbook comprehension.

Lingyun Song, Wenqing Du, Xiaolin Han, Xinbiao Gan, Xiaoqi Wang, Xuequn Shang

Inf. Fusion, 2025

ReadGraph: Relational Evolution Enhanced Anomaly Detection in Dynamic Heterogeneous Graph.

Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

SemExplorer: A User Interface for Semantic Approach to Customized Dataset Search.

Zixin Wei, Jun Han, Xiaolin Han, Chenhao Ma

Proceedings of the Companion of the 2025 International Conference on Management of Data, 2025

UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge.

Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs.

Jie Liu, Xuequn Shang, Xiaolin Han, Wentao Zhang, Hongzhi Yin

CoRR, 2024

TRoute: Dynamic Time-Dependent Route Recommendation on Road Networks.

Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang

Proceedings of the Web Information Systems and Applications, 2024

2022

A framework for differentially-private knowledge graph embeddings.

Xiaolin Han, Daniele Dell'Aglio, Tobias Grubenmann, Reynold Cheng, Abraham Bernstein

J. Web Semant., 2022

Finding Locally Densest Subgraphs: A Convex Programming Approach.

Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han

Proc. VLDB Endow., 2022

DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection.

Xiaolin Han, Reynold Cheng, Chenhao Ma, Tobias Grubenmann

Proc. VLDB Endow., 2022

A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery.

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

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 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

2020

An ML-Powered Human Behavior Management System.

Sihem Amer-Yahia, Reynold Cheng, Mohamed Bouadi, Abdelouahab Chibah, Mohammadreza Esfandiari, Jiangping Zhou, Nan Zhang, Eric Lau, Yuguo Li, Xiaolin Han, Shivansh Mittal

IEEE Data Eng. Bull., 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

Traffic Incident Detection: A Deep Learning Framework.

Xiaolin Han

Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019