Optimal Task Recommendation for Spatial Crowdsourcing with Privacy Control. - Dan Lu 004; Qilong Han; Hongbin Zhao; Kejia Zhang 001 (ICPCSEE (1), 2017)

Lclean: A Plausible Approach to Individual Trajectory Data Sanitization. - Qilong Han; Dan Lu 004; Kejia Zhang 001; Xiaojiang Du; Mohsen Guizani (IEEE Access, 2018)

A Prediction Method for Destination Based on the Semantic Transfer Model. - Qilong Han; Dan Lu 004; Kejia Zhang 001; Xiaojiang Du; Mohsen Guizani (IEEE Access, 2019)

Secure Mining of Association Rules in Distributed Datasets. - Qilong Han; Dan Lu 004; Kejia Zhang 001; Hongtao Song; Haitao Zhang (IEEE Access, 2019)

A Novel Method for Location Privacy Protection in LBS Applications. - Dan Lu 004; Qilong Han; Kejia Zhang 001; Haitao Zhang; Bisma Gull (Secur. Commun. Networks, 2019)

Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior. - Dan Lu 004; Le Wu; Rui Chen 012; Qilong Han; Yichen Wang; Yong Ge (APWeb/WAIM (2), 2021)

Fine-Grained Air Quality Inference via Multi-Channel Attention Model. - Qilong Han; Dan Lu 004; Rui Chen 012 (IJCAI, 2021)

MTGnet: Multi-Task Spatiotemporal Graph Convolutional Networks for Air Quality Prediction. - Dan Lu 004; Rui Chen 012; Shanshan Sui; Qilong Han; Linglong Kong; Yichen Wang (IJCNN, 2022)

Review of Deep Learning-Based Entity Alignment Methods. - Dan Lu 004; Guoyu Han; Yingnan Zhao; Qilong Han (GPC (1), 2023)

Anomaly Detection of Industrial Data Based on Multivariate Multi Scale Analysis. - Dan Lu 004; Siao Li; Yingnan Zhao; Qilong Han (GPC (1), 2023)

UEBCS: Software Development Technology Based on Component Selection. - Yingnan Zhao; Xuezhao Qi; Jian Li; Dan Lu 004 (GPC (1), 2023)

Multi-source Open-Set Image Classification Based on Deep Adversarial Domain Adaptation. - Haitao Zhang; Xinran Liu; Qilong Han; Dan Lu 004 (ICANN (5), 2023)

DAGAN: Generative Adversarial Network with Dual Attention-Enhanced GRU for Multivariate Time Series Imputation. - Hongtao Song; Xiangran Fang; Dan Lu 004; Qilong Han (ICONIP (12), 2023)

SRLI: Handling Irregular Time Series with a Novel Self-supervised Model Based on Contrastive Learning. - Haitao Zhang; Xujie Zhang; Qilong Han; Dan Lu 004 (ICONIP (13), 2023)

The Multisource Time Series Data Granularity Conversion Method. - Chongyang Leng; Qilong Han; Dan Lu 004 (ICPCSEE (1), 2023)

Fairness-Aware Mutual Information for Multimodal Recommendation. - Dan Lu 004; Xu Chen; Rui Chen 012; Shiqing Wu 001; Guandong Xu (BESC, 2024)

Cascading Hypergraph Convolution Networks for Multi-Behavior Sequential Recommendation. - Dan Lu 004; Hao Zhang; Lijie Li; Shiqing Wu 001; Guandong Xu (BESC, 2024)

Enhancing Traffic Prediction via Spatial Multi-Granularity Co-Evolving Mechanism. - Shanshan Sui; Qilong Han; Dan Lu 004; Shiqing Wu 001; Guandong Xu (BESC, 2024)

Independent Embedding-Based Relational Enhancement Model for Hyper-Relational Knowledge Graph. - Qilong Han; Jiahang Li; Dan Lu 004; Lijie Li; Bingyi Xie (DASFAA (4), 2024)

Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning. - Qilong Han; Shanshan Sui; Dan Lu 004; Shiqing Wu 001; Guandong Xu (DASFAA (2), 2024)

A novel complex network prediction method based on multi-granularity contrastive learning. - Shanshan Sui; Qilong Han; Dan Lu 004; Shiqing Wu 001; Guandong Xu (CCF Trans. Pervasive Comput. Interact., 2024)

Fine-grained graph convolutional network with learning-based bi-relational graph for spatiotemporal forecasting. - Hexiang Liu; Qilong Han; Dan Lu 004; Jingyu Sheng; Shanshan Sui; Hui Sun (Expert Syst. Appl., 2025)

Causal cascading convolution networks for multi-behavior sequential recommendation. - Dan Lu 004; Shiqing Wu 001; Hao Zhang; Guandong Xu; Qilong Han (Inf. Sci., 2025)