Traffic Incident Detection: A Deep Learning Framework. - Xiaolin Han 002 (MDM, 2019)

M-Cypher: A GQL Framework Supporting Motifs. - Xiaodong Li 009; Reynold Cheng; Matin Najafi; Kevin Chen-Chuan Chang; Xiaolin Han 002; Hongtai Cao (CIKM, 2020)

Traffic Incident Detection: A Trajectory-based Approach. - Xiaolin Han 002; Tobias Grubenmann; Reynold Cheng; Sze Chun Wong; Xiaodong Li 009; Wenya Sun (ICDE, 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 002; Shivansh Mittal (IEEE Data Eng. Bull., 2020)

Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks. - Xiaolin Han 002; Reynold Cheng; Tobias Grubenmann; Silviu Maniu; Chenhao Ma 001; Xiaodong Li 009 (SDM, 2022)

A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery. - Chenhao Ma 001; Yixiang Fang; Reynold Cheng; Laks V. S. Lakshmanan; Xiaolin Han 002 (SIGMOD Conference, 2022)

DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection. - Xiaolin Han 002; Reynold Cheng; Chenhao Ma 001; Tobias Grubenmann (Proc. VLDB Endow., 2022)

Finding Locally Densest Subgraphs: A Convex Programming Approach. - Chenhao Ma 001; Reynold Cheng; Laks V. S. Lakshmanan; Xiaolin Han 002 (Proc. VLDB Endow., 2022)

A framework for differentially-private knowledge graph embeddings. - Xiaolin Han 002; Daniele Dell'Aglio; Tobias Grubenmann; Reynold Cheng; Abraham Bernstein (J. Web Semant., 2022)

TRoute: Dynamic Time-Dependent Route Recommendation on Road Networks. - Xiaolin Han 002; Xiurui Hu; Chenhao Ma 001; Xuequn Shang 001 (WISA, 2024)

Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs. - Jie Liu; Xuequn Shang 001; Xiaolin Han 002; Wentao Zhang 001; Hongzhi Yin (CoRR, 2024)

FDM: Effective and efficient incident detection on sparse trajectory data. - Xiaolin Han 002; Tobias Grubenmann; Chenhao Ma 001; Xiaodong Li 009; Wenya Sun; Sze Chun Wong; Xuequn Shang 001; Reynold Cheng (Inf. Syst., 2024)

Accelerating directed densest subgraph queries with software and hardware approaches. - Chenhao Ma 001; Yixiang Fang; Reynold Cheng; Laks V. S. Lakshmanan; Xiaolin Han 002; Xiaodong Li 009 (VLDB J., 2024)

UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge. - Yue Zhang; Yankai Chen 001; Yingli Zhou; Yucan Guo; Xiaolin Han 002; Chenhao Ma 001 (SIGIR, 2025)

SemExplorer: A User Interface for Semantic Approach to Customized Dataset Search. - Zixin Wei; Jun Han 010; Xiaolin Han 002; Chenhao Ma 001 (SIGMOD Conference Companion, 2025)

ReadGraph: Relational Evolution Enhanced Anomaly Detection in Dynamic Heterogeneous Graph. - Xiaolin Han 002; Xiurui Hu; Chenhao Ma 001; Xuequn Shang 001 (WWW (Companion Volume), 2025)

Cross-modal multi-relational graph reasoning: A novel model for multimodal textbook comprehension. - Lingyun Song; Wenqing Du; Xiaolin Han 002; Xinbiao Gan; Xiaoqi Wang; Xuequn Shang 001 (Inf. Fusion, 2025)

Finding Locally Densest Subgraphs: Convex Programming with Edge and Triangle Density. - Yi Yang; Chenhao Ma 001; Reynold Cheng; Laks V. S. Lakshmanan; Xiaolin Han 002 (CoRR, 2025)

Hypergraph-Enhanced Multi-Granularity Stochastic Weight Completion in Sparse Road Networks. - Xiaolin Han 002; Yikun Zhang; Chenhao Ma 001; Xuequn Shang 001; Reynold Cheng; Tobias Grubenmann; Xiaodong Li 009 (ACM Trans. Knowl. Discov. Data, 2025)