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- ArticleMay 2024
LEAF: A Less Expert Annotation Framework with Active Learning
Advances in Knowledge Discovery and Data MiningMay 2024, Pages 369–384https://doi.org/10.1007/978-981-97-2259-4_28AbstractMany modern ML applications rely on large amounts of labeled data, which can be difficult and time-consuming to obtain. Active Learning (AL) is an advanced solution that addresses this problem. AL not only enables efficient training with limited ...
- short-paperOctober 2023
Personalized Differentially Private Federated Learning without Exposing Privacy Budgets
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge ManagementOctober 2023, Pages 4140–4144https://doi.org/10.1145/3583780.3615247The meteoric rise of cross-silo Federated Learning (FL) is due to its ability to mitigate data breaches during collaborative training. To further provide rigorous privacy protection with consideration of the varying privacy requirements across different ...
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- ArticleApril 2023
KRec-C2: A Knowledge Graph Enhanced Recommendation with Context Awareness and Contrastive Learning
Database Systems for Advanced ApplicationsApr 2023, Pages 3–20https://doi.org/10.1007/978-3-031-30672-3_1AbstractKnowledge graph (KG) has been widely utilized in recommendation system to its rich semantic information. There are two main challenges in real-world applications: high-quality knowledge graphs and modeling user-item relationships. However, ...
- ArticleApril 2023
Correction to: Spatial Data and Intelligence
In the originally published book wrong affiliation has been used for the Editor Huayi Wu. The affiliation has been changed to “Wuhan University”.
- research-articleMarch 2023
Word segmentation based on database semantics in NChiql
Journal of Computer Science and Technology (JCST), Volume 15, Issue 4Jul 2000, Pages 346–354https://doi.org/10.1007/BF02948870AbstractIn this paper a novel word-segmentation algorithm is presented to delimit words in Chinese natural language queries in NChiql system, a Chinese natural language query interface to databases. Although there are sizable literatures on Chinese ...
- research-articleMarch 2023
The processing and improvement of multi-statement queries in Chiql
Journal of Computer Science and Technology (JCST), Volume 13, Issue 2Mar 1998, Pages 161–173https://doi.org/10.1007/BF02946604AbstractChiql is a novel Chinese relational database query language for Chinese users. It supports procedural query style in which users can specify a complex database request in multiple simple statements. This facility renders Chiql simple-to-use and ...
- ArticleMarch 2023
An OS Security Protection Model for Defeating Attacks from Network
AbstractSecurity threats to operating systems today largely come from network. Traditional discretionary access control mechanism alone can hardly defeat them. Although traditional mandatory access control models can effectively protect the security of OS,...
FILM: A Fully Learned Index for Larger-Than-Memory Databases
Proceedings of the VLDB Endowment (PVLDB), Volume 16, Issue 3Pages 561–573https://doi.org/10.14778/3570690.3570704As modern applications generate data at an unprecedented speed and often require the querying/analysis of data spanning a large duration, it is crucial to develop indexing techniques that cater to larger-than-memory databases, where data reside on ...
- research-articleOctober 2022
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 34, Issue 10Oct. 2022, Pages 4905–4920https://doi.org/10.1109/TKDE.2020.3047124Local differential privacy (LDP) is an emerging technique for privacy-preserving data collection without a trusted collector. Despite its strong privacy guarantee, LDP cannot be easily applied to real-world graph analysis tasks such as community detection ...
- ArticleApril 2022
Metadata Privacy Preservation for Blockchain-Based Healthcare Systems
Database Systems for Advanced ApplicationsApr 2022, Pages 404–412https://doi.org/10.1007/978-3-031-00123-9_33AbstractBlockchain-based healthcare systems provide a patient-centric and accountable way to manage and share electronic health records. Thanks to its unique features, the blockchain is employed to record the metadata and to carry out access control. ...
Projected federated averaging with heterogeneous differential privacy
Proceedings of the VLDB Endowment (PVLDB), Volume 15, Issue 4Pages 828–840https://doi.org/10.14778/3503585.3503592Federated Learning (FL) is a promising framework for multiple clients to learn a joint model without directly sharing the data. In addition to high utility of the joint model, rigorous privacy protection of the data and communication efficiency are ...
- research-articleNovember 2021
Why-not questions about spatial temporal top-k trajectory similarity search
Knowledge-Based Systems (KNBS), Volume 231, Issue CNov 2021https://doi.org/10.1016/j.knosys.2021.107407AbstractExtensive efforts have been made to improve the efficiency of the top-k trajectory similarity search(TkTSS), which retrieves k similarity trajectories for a given trajectory with a similarity function. When a user issues a initial ...
Highlights- We are the first to model the why-not questions on trajectory similarity search problem.
- proceedingNovember 2021
SIGSPATIAL '21: Proceedings of the 29th International Conference on Advances in Geographic Information Systems
These proceedings contain the papers from the 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2021), held online November 2-5, 2021. The conference started as a series of workshops and symposia ...
- research-articleMay 2021
Beyond Value Perturbation: Local Differential Privacy in the Temporal Setting
IEEE INFOCOM 2021 - IEEE Conference on Computer CommunicationsMay 2021, Pages 1–10https://doi.org/10.1109/INFOCOM42981.2021.9488899Time series has numerous application scenarios. However, since many time series data are personal data, releasing them directly could cause privacy infringement. All existing techniques to publish privacy-preserving time series perturb the values while ...
- ArticleSeptember 2020
A Unified Adversarial Learning Framework for Semi-supervised Multi-target Domain Adaptation
Database Systems for Advanced ApplicationsSep 2020, Pages 419–434https://doi.org/10.1007/978-3-030-59410-7_29AbstractMachine learning algorithms have been criticized as difficult to apply to new tasks or datasets without sufficient annotations. Domain adaptation is expected to tackle this problem by establishing knowledge transfer from a labeled source domain to ...