| 2027 | C2: Cache-Conscious Succinct Tries with Adaptive Unary Path Compression. | Kepan Zhang, Tiancheng Zhao, Helen Xu |
| 2027 | U-HNSW: An Efficient Graph-based Solution to ANNS Under Universal Lp Metrics. | Huayi Wang, Jingfan Meng, Jun Xu |
| 2027 | Benchmarking Framework for Hybrid Relational-Vector Database Systems. | Ayush Singh, Kaustubh Beedkar, Srinivas Karthik, Harish Doraiswamy, Srikanta Bedathur |
| 2027 | A Graph-Native Approach to Normalization. | Johannes Schrott, Maxime Jakubowski, Katja Hose |
| 2027 | The Bi-Channel Networking Paradigm for Database Systems in the Cloud. | Georg Kreuzmayr, Muhammad El-Hindi, Benjamin Wagner, Tobias Ziegler, Viktor Leis |
| 2027 | TABERTA: A Language Model for Dataset Discovery. | Enas Khwaileh, Leonard Traeger, Albert Gatt, Yannis Velegrakis |
| 2027 | PTIL: Partitioned Tree-Cover Interval Labeling for Restricted-Domain Reachability Queries. | Huangleshuai He, Zhengyi Yang, Yifu Tang, Zebin Chen, Dong Wen, Qi Luo, Tianming Zhang |
| 2027 | The Dangerous Impact of Solver Imprecision on Data Management Techniques (and How to Avoid It). | Zixuan Chen, Zikun Wang, Panagiotis Manolios, Mirek Riedewald |
| 2027 | nDT: The case for in-storage Data Transformations. | Arthur Bernhardt, Johannes Kratz, David Volz, Sajjad Tamimi, Andreas Koch, Ilia Petrov |
| 2026 | Understanding the Performance of Native Execution in Big Data Engines: The Good, the Bad, and How to Fix It. | Haikai Zhao, Zhenman Fang |
| 2026 | A Dataset Generation Method for Bias Evaluation in Retrieval-Augmented Generation. | Yingqi Zhao, Vasilis Efthymiou, Jyrki Nummenmaa, Kostas Stefanidis |
| 2026 | GSS: Graph Semantic Summarization using answer-centered explanatory subgraphs. | Valantis Zervos, Spyridon Doukeris, Kiki Miniadou, Giannis Vassiliou, Sophia Sideri, Haridimos Kondylakis |
| 2026 | Efficient Vector-Based Louvain Algorithm for Massive Low-Rank Graphs. | Tengkai Yu, Venkatesh Srinivasan, Alex Thomo |
| 2026 | AdCache: Adaptive Cache Management with Admission Control for LSM-tree Key-Value Stores. | Jiarui Ye, Junfeng Liu, Siqiang Luo |
| 2026 | Transformer-based Analysis of Vehicle CAN Bus Data for Predictive Maintenance: A Real Case Study. | Ali Yassine, Fabio Zorzan, Lucia Salvatori, Luca Vassio, Luca Cagliero |
| 2026 | Query Performance Explanation through Large Language Model for HTAP Systems. | Haibo Xiu, Li Zhang, Tieying Zhang, Jun Yang, Jianjun Chen |
| 2026 | GRANT Privileges, REVOKE Risk: Safe and Scalable Teaching of Database Administration with Isolated Containers. | Andrzej Wjtowicz, Maciej Prill |
| 2026 | Combining Supervised and Unsupervised Learning for Efficient, Explainable, and Interoperable Anomaly Detection. | Grisha Weintraub, Leonid Rise, Doron Hillman, Paula Ta-Shma |
| 2026 | RTCM: A Distributed Snapshot-Based Framework for Real-Time Co-Movement Mining. | Chenxu Wang, Jiaxing Wei, Tianyi Li, Hongzhen Xiang, Junzhou Zhao, Pinghui Wang, Tao Qin, Yushuai Li, Christian S. Jensen |
| 2026 | Distance Comparison Operation Optimization in ANNS: A Survey and Experimental Evaluation. | Bohai Wang, Yanhao Wang, Huiqi Hu, Weichen Zhao, Minghao Zhao |
| 2026 | Governing the Whole Stack: Auditable Data Science Queries for Frugal and Sovereign Environmental AI. | Genoveva Vargas-Solar |
| 2026 | A vision for sustainable, equitable healthcare applications with XAI and transfer learning to augment neural models. | Aparna S. Varde, Benjamin Schnack Brandt Rasmussen |
| 2026 | Trigger Graphs and Probabilistic Equivalence: Towards Scalable and Efficient Inference and Neurosymbolic Learning. | Efthymia Tsamoura |
| 2026 | Collaborative Scoping: Self-Supervised Linkability Assessment for Schema Matching. | Leonard Traeger, Andreas Behrend, George Karabatis |
| 2026 | Short-Term Traffic Congestion Prediction Using Machine Learning: XGBoost vs. Deep Neural Networks. | George S. Theodoropoulos, Zoi Nikolarakis, Yannis Theodoridis |