| 2026 | AAAI | KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning. | Lingyun Song, Ziyao Chen, Kang Pan, Xiaolin Han, Xinbiao Gan, Yudai Pan, Xiaofan Sun, Xiaoqi Wang, Xuequn Shang |
| 2026 | DASFAA | AutoASD: A Unified System for Anomalous Subgraph Discovery in Financial Networks. | Xiaolin Han, Yuke Li, Yikun Zhang |
| 2026 | DASFAA | Efficient Moving-Together-Patterns Discovery from Large-Scale Travel Data. | Xiaolin Han, Tianwen Zhang, Niehao Chen, Reynold Cheng |
| 2026 | ICDE | Robust Spatial-Temporal Similar Trajectory Search via Structure-Enhanced Domain-Invariant Learning. | Xiaolin Han, Yonghao Zhou, Chenhao Ma, Lingyun Song, Xinbiao Gan, Xuequn Shang |
| 2025 | CIKM | STORM: Spatio-Temporal Similar Trajectory Retrieval on Non-Uniform Maritime Data. | Xiaolin Han, Yonghao Zhou, Chenhao Ma, Fang Li, Xuequn Shang |
| 2025 | DASFAA | STAR: Spatio-Temporal Trajectory Recovery for Sparse and Uncertain Marine Trajectories. | Xiaolin Han, Songliang Bai, Gaukhar Issayeva, Chenhao Ma, Fang Li, Xuequn Shang |
| 2025 | DASFAA | RADIO: Effective and Efficient Anomalous Subgraph Discovery in Financial Networks. | Xiaolin Han, Yikun Zhang, Chenhao Ma, Lingyun Song, Xuequn Shang |
| 2025 | ICDM | STREAM: Hierarchical Dynamic Traffic Pattern Inference for Sparse Trajectory Recovery. | Xiaolin Han, Tianwen Zhang, Yuke Li, Gaukhar Issayeva, Chenhao Ma, Lingyun Song, Xuequn Shang |
| 2025 | IJCAI | Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction. | Lingyun Song, Xiaofan Sun, Xinbiao Gan, Yudai Pan, Xiaolin Han, Jie Ma, Jun Liu, Xuequn Shang |
| 2025 | KDD | TempASD: Temporal Anomalous Subgraph Discovery in Large-Scale Dynamic Financial Networks. | Xiaolin Han, Yikun Zhang, Chenhao Ma, Lingyun Song, Reynold Cheng, Xuequn Shang |
| 2025 | KDD | UnG-MoCha: Neural Motif Counting in Uncertain Graphs. | Lujie Ban, Xiaolin Han, Jinyang Li, Chenhao Ma |
| 2025 | WWW | ReadGraph: Relational Evolution Enhanced Anomaly Detection in Dynamic Heterogeneous Graph. | Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang |
| 2025 | SIGIR | 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 |
| 2025 | SIGMOD | SemExplorer: A User Interface for Semantic Approach to Customized Dataset Search. | Zixin Wei, Jun Han, Xiaolin Han, Chenhao Ma |
| 2022 | SIGMOD | A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery. | Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han |
| 2022 | SDM | Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks. | Xiaolin Han, Reynold Cheng, Tobias Grubenmann, Silviu Maniu, Chenhao Ma, Xiaodong Li |
| 2021 | BMVC | Refining FFT-based Heatmap for the Detection of Cluster Distributed Targets in Satellite Images. | Huan Zhang, Zhiyi Xu, Xiaolin Han, Weidong Sun |
| 2020 | CIKM | M-Cypher: A GQL Framework Supporting Motifs. | Xiaodong Li, Reynold Cheng, Matin Najafi, Kevin Chen-Chuan Chang, Xiaolin Han, Hongtai Cao |
| 2020 | ICDE | Traffic Incident Detection: A Trajectory-based Approach. | Xiaolin Han, Tobias Grubenmann, Reynold Cheng, Sze Chun Wong, Xiaodong Li, Wenya Sun |
| 2019 | MDM | Traffic Incident Detection: A Deep Learning Framework. | Xiaolin Han |
| 2018 | DICTA | Spectral Super-resolution for RGB Images using Class-based BP Neural Networks. | Xiaolin Han, Jing Yu, Jing-Hao Xue, Weidong Sun |
| 2017 | ICIP | Hyperspectral image super-resolution based on non-factorization sparse representation and dictionary learning. | Xiaolin Han, Jing Yu, Weidong Sun |