Xiaolin Han

32 papers A* 5A 3B 1Misc 1Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explainable Anomaly Detection in Dynamic Heterogeneous Graphs via Relation Evolution.
IEEE Trans. Knowl. Data Eng.
Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang
2026 J jnl
Finding Locally Densest Subgraphs: Convex Programming with Edge and Triangle Density.
VLDB J.
Yi Yang, Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han
2026 A* conf
KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning.
AAAI
Lingyun Song, Ziyao Chen, Kang Pan, Xiaolin Han, Xinbiao Gan, Yudai Pan, Xiaofan Sun, Xiaoqi Wang, Xuequn Shang
2026 J jnl
Revisiting Task-Oriented Dataset Search in the Era of Large Language Models: Challenges, Benchmark, and Solution.
Proc. VLDB Endow.
Zixin Wei, Yucan Guo, Jinyang Li, Xiaolin Han, Xiaolong Jin, Chenhao Ma
2025 J jnl
Cross-modal multi-relational graph reasoning: A novel model for multimodal textbook comprehension.
Inf. Fusion
Lingyun Song, Wenqing Du, Xiaolin Han, Xinbiao Gan, Xiaoqi Wang, Xuequn Shang
2025 J jnl
Finding Locally Densest Subgraphs: Convex Programming with Edge and Triangle Density.
CoRR
Yi Yang, Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han
2025 J jnl
Hypergraph-Enhanced Multi-Granularity Stochastic Weight Completion in Sparse Road Networks.
ACM Trans. Knowl. Discov. Data
Xiaolin Han, Yikun Zhang, Chenhao Ma, Xuequn Shang, Reynold Cheng, Tobias Grubenmann, Xiaodong Li
2025 A* conf
Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction.
IJCAI
Lingyun Song, Xiaofan Sun, Xinbiao Gan, Yudai Pan, Xiaolin Han, Jie Ma, Jun Liu, Xuequn Shang
2025 — conf
RADIO: Effective and Efficient Anomalous Subgraph Discovery in Financial Networks.
DASFAA (2)
Xiaolin Han, Yikun Zhang, Chenhao Ma, Lingyun Song, Xuequn Shang
2025 — conf
ReadGraph: Relational Evolution Enhanced Anomaly Detection in Dynamic Heterogeneous Graph.
WWW (Companion Volume)
Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang
2025 J jnl
Revisiting Task-Oriented Dataset Search in the Era of Large Language Models: Challenges, Benchmark, and Solution.
CoRR
Zixin Wei, Yucan Guo, Jinyang Li, Xiaolin Han, Xiaolong Jin, Chenhao Ma
2025 — conf
STAR: Spatio-Temporal Trajectory Recovery for Sparse and Uncertain Marine Trajectories.
DASFAA (6)
Xiaolin Han, Songliang Bai, Gaukhar Issayeva, Chenhao Ma, Fang Li, Xuequn Shang
2025 A conf
STORM: Spatio-Temporal Similar Trajectory Retrieval on Non-Uniform Maritime Data.
CIKM
Xiaolin Han, Yonghao Zhou, Chenhao Ma, Fang Li, Xuequn Shang
2025 A* conf
STREAM: Hierarchical Dynamic Traffic Pattern Inference for Sparse Trajectory Recovery.
ICDM
Xiaolin Han, Tianwen Zhang, Yuke Li, Gaukhar Issayeva, Chenhao Ma, Lingyun Song, Xuequn Shang
2025 — conf
SemExplorer: A User Interface for Semantic Approach to Customized Dataset Search.
SIGMOD Conference Companion
Zixin Wei, Jun Han, Xiaolin Han, Chenhao Ma
2025 — conf
TempASD: Temporal Anomalous Subgraph Discovery in Large-Scale Dynamic Financial Networks.
KDD (2)
Xiaolin Han, Yikun Zhang, Chenhao Ma, Lingyun Song, Reynold Cheng, Xuequn Shang
2025 A* conf
UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge.
SIGIR
Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma
2025 J jnl
UTCS: Effective Unsupervised Temporal Community Search with Pre-training of Temporal Dynamics and Subgraph Knowledge.
CoRR
Yue Zhang, Yankai Chen, Yingli Zhou, Yucan Guo, Xiaolin Han, Chenhao Ma
2025 — conf
UnG-MoCha: Neural Motif Counting in Uncertain Graphs.
KDD (2)
Lujie Ban, Xiaolin Han, Jinyang Li, Chenhao Ma
2024 J jnl
Accelerating directed densest subgraph queries with software and hardware approaches.
VLDB J.
Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han, Xiaodong Li
2024 J jnl
FDM: Effective and efficient incident detection on sparse trajectory data.
Inf. Syst.
Xiaolin Han, Tobias Grubenmann, Chenhao Ma, Xiaodong Li, Wenya Sun, Sze Chun Wong, Xuequn Shang, Reynold Cheng
2024 J jnl
Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs.
CoRR
Jie Liu, Xuequn Shang, Xiaolin Han, Wentao Zhang, Hongzhi Yin
2024 Misc conf
TRoute: Dynamic Time-Dependent Route Recommendation on Road Networks.
WISA
Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang
2022 — conf
A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery.
SIGMOD Conference
Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han
2022 J jnl
A framework for differentially-private knowledge graph embeddings.
J. Web Semant.
Xiaolin Han, Daniele Dell'Aglio, Tobias Grubenmann, Reynold Cheng, Abraham Bernstein
2022 J jnl
DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection.
Proc. VLDB Endow.
Xiaolin Han, Reynold Cheng, Chenhao Ma, Tobias Grubenmann
2022 J jnl
Finding Locally Densest Subgraphs: A Convex Programming Approach.
Proc. VLDB Endow.
Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han
2022 A conf
Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks.
SDM
Xiaolin Han, Reynold Cheng, Tobias Grubenmann, Silviu Maniu, Chenhao Ma, Xiaodong Li
2020 J jnl
An ML-Powered Human Behavior Management System.
IEEE Data Eng. Bull.
Sihem Amer-Yahia, Reynold Cheng, Mohamed Bouadi, Abdelouahab Chibah, Mohammadreza Esfandiari, Jiangping Zhou, Nan Zhang, Eric Lau, Yuguo Li, Xiaolin Han, Shivansh Mittal
2020 A conf
M-Cypher: A GQL Framework Supporting Motifs.
CIKM
Xiaodong Li, Reynold Cheng, Matin Najafi, Kevin Chen-Chuan Chang, Xiaolin Han, Hongtai Cao
2020 A* conf
Traffic Incident Detection: A Trajectory-based Approach.
ICDE
Xiaolin Han, Tobias Grubenmann, Reynold Cheng, Sze Chun Wong, Xiaodong Li, Wenya Sun
2019 B conf
Traffic Incident Detection: A Deep Learning Framework.
MDM
Xiaolin Han