| 2024 | VG-Prefetcher Cache: Towards Edge-Based Time Series Data Management Using Visibility Graph Prefetching. | Akram Bensalem, Laurent d'Orazio, Julien Lallet, Andrea Enrici |
| 2024 | Performance-cost trade-offs in service orchestration for edge computing. | Daniel Balouek |
| 2024 | CURD: Context-aware Relevance and Urgency Determination. | Ademola Adesokan, Sanjay Madria |
| 2023 | Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis. | Lixi Zhou, Lei Yu, Jia Zou, Hong Min |
| 2023 | Less is More: How Fewer Results Improve Progressive Join Query Processing. | Xin Zhang, Ahmed Eldawy |
| 2023 | SciDG: Benchmarking Scientific Dynamic Graph Queries. | Chenglin Zeng, Chuan Hu, Huajin Wang, Zhihong Shen |
| 2023 | Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection. | Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Hao Fan |
| 2023 | Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? | Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao |
| 2023 | TGSLN : Time-aware Graph Structure Learning Network for Multi-variates Stock Sector Ranking Recommendation. | Quan Wan, Shuo Yin, Xiangyue Liu, Jianliang Gao, Yuhui Zhong |
| 2023 | A Long-term Time Series Forecasting method with Multiple Decomposition. | Yang Wang, Xu Chen, Yang Shu Wang, Jun Yong Jing |
| 2023 | MSLS: Meta-graph Search with Learnable Supernet for Heterogeneous Graph Neural Networks. | Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao |
| 2023 | Towards Efficient Discovery of Spatially Interesting Patterns in Geo-referenced Sequential Databases. | Shota Suzuki, Rage Uday Kiran |
| 2023 | Accelerating Machine Learning Queries with Linear Algebra Query Processing. | Wenbo Sun, Asterios Katsifodimos, Rihan Hai |
| 2023 | A Computer Vision Approach for Detecting Discrepancies in Map Textual Labels. | Abdulrahman Salama, Mahmoud Elkamhawy, Mohamed Ali, Eyhab Al-Masri, Adel A. Sabour, Abdeltawab M. Hendawi, Ming Tan, Vashutosh Agrawal, Ravi Prakash |
| 2023 | Federated Learning on Personal Data Management Systems: Decentralized and Reliable Secure Aggregation Protocols. | Julien Mirval, Luc Bouganim, Iulian Sandu Popa |
| 2023 | Multi-representations Space Separation based Graph-level Anomaly-aware Detection. | Fu Lin, Haonan Gong, Mingkang Li, Zitong Wang, Yue Zhang, Xuexiong Luo |
| 2023 | ST-CopulaGNN : A Multi-View Spatio-Temporal Graph Neural Network for Traffic Forecasting. | Pitikorn Khlaisamniang, Suronapee Phoomvuthisarn |
| 2023 | Four Factors Affecting Missing Data Imputation. | Andreas Hackl, Jrgen Zeindl, Lisa Ehrlinger |
| 2023 | Early ICU Mortality Prediction with Deep Federated Learning: A Real-World Scenario. | Athanasios Georgoutsos, Paraskevas Kerasiotis, Verena Kantere |
| 2023 | Decoupled Graph Neural Architecture Search with Variable Propagation Operation and Appropriate Depth. | Jianliang Gao, Changlong He, Jiamin Chen, Qiutong Li, Yili Wang |
| 2023 | ESM2-Tree: An maintenance efficient authentication data structure in blockchain. | Yuzhou Fang, Liang Cai, Weiwei Qiu, Fanglei Huang, Huaihai Hui |
| 2023 | InfoMoD: Information-theoretic Model Diagnostics. | Armin Esmaeilzadeh, Lukasz Golab, Kazem Taghva |
| 2023 | Privacy-Preserving OLAP via Modeling and Analysis of Query Workloads: Innovative Theories and Theorems. | Alfredo Cuzzocrea |
| 2023 | Data Driven Dimensionality Reduction to Improve Modeling Performance✱. | Joshua Chung, Marcos Lpez de Prado, Horst D. Simon, Kesheng Wu |
| 2023 | Indexing Temporal Relations for Range-Duration Queries. | Matteo Ceccarello, Anton Digns, Johann Gamper, Christina Khnaisser |