| 2024 | HyperFedNet: Communication-Efficient Personalized Federated Learning Via Hypernetwork. | Xingyun Chen, Yan Huang, Zhenzhen Xie, Junjie Pang |
| 2024 | A Comprehensive Outlook for Analyzing and Enhancing the Performance of Blockchain Platforms. | Jeeta Ann Chacko |
| 2024 | SPIREX: Improving LLM-based relation extraction from RNA-focused scientific literature using graph machine learning. | Emanuele Cavalleri, Mauricio Soto Gomez, Ali Pashaeibarough, Dario Malchiodi, J. Harry Caufield, Justin T. Reese, Chris Mungall, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti |
| 2024 | A Unified Visual Exploration Framework for (Semi-)structured Data. | Tho Bouganim, Ioana Manolescu, Emmanuel Pietriga |
| 2024 | LLMs for Data Engineering on Enterprise Data. | Jan-Micha Bodensohn, Ulf Brackmann, Liane Vogel, Matthias Urban, Anupam Sanghi, Carsten Binnig |
| 2024 | 13th International Workshop on Quality in Databases: Preface. | Sourav S. Bhowmick, Lisa Ehrlinger, Hazar Harmouch |
| 2024 | Humboldt: Metadata-Driven Extensible Data Discovery. | Alex Buerle, agatay Demiralp, Michael Stonebraker |
| 2024 | XCrowd: Real-Time Dynamic Crowd Movement Simulation on Graph Networks. | Jan Appel, Andreas Weiler |
| 2024 | Techniques for interactive visual examination of autonomous vessel performance. | Natalia V. Andrienko, Gennady L. Andrienko, Dimitris Zissis, Alexandros Troupiotis-Kapeliaris, Giannis Spiliopoulos |
| 2024 | Proceedings of the Sixth International Workshop on Foundations and Applications of Blockchain (FAB). | Mohammad Javad Amiri |
| 2024 | SOK: Blockchain for Provenance. | Asma Jodeiri Akbarfam, Hoda Maleki |
| 2024 | Accelerating the Data Cleaning Systems Raha and Baran through Task and Data Parallelism. | Fatemeh Ahmadi, Yusuf Mandirali, Ziawasch Abedjan |
| 2024 | Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest. | Yusuf Abdulle, Emily Groves, Minhong Wang, Holger Kunz, Jason Hoelscher-Obermaier, Ronin Wu, Honghan Wu |
| 2024 | GFS: Graph-based Feature Synthesis for Prediction over Relational Databases. | Han Zhang, Quan Gan, David Wipf, Weinan Zhang |
| 2024 | QPV: An Input Control Component For Progressive Visualization Analytics. | Xin Zhang, Ahmed Eldawy |
| 2024 | Parallel Higher-order Truss Decomposition. | Chen Chen, Jingya Qian, Hui Luo, Yongye Li, Xiaoyang Wang |
| 2024 | OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. | Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen |
| 2024 | Data Management and AI for Blockchain Data Analysis: A Round Trip and Opportunities. | Arijit Khan |
| 2024 | LLM+KG: Data Management Opportunities in Unifying Large Language Models + Knowledge Graphs. | Arijit Khan, Tianxing Wu, Xi Chen |
| 2023 | SHaMBa: Reducing Bloom Filter Overhead in LSM Trees. | Zichen Zhu |
| 2023 | DBMLSched: Scheduling In-database Machine Learning Jobs. | Yunjia Zheng, Yuxuan Tian, Joseph Vinish D'silva, Bettina Kemme |
| 2023 | Encoding and Provisioning Data in different Data Models for Quantum Computing. | Markus Zajac |
| 2023 | Quantum Computing for Databases: A Short Survey and Vision. | Gongsheng Yuan, Jiaheng Lu, Yuxing Chen, Sai Wu, Chang Yao, Zhengtong Yan, Tuodu Li, Gang Chen |
| 2023 | The Case for Decoupled Transaction Managers (Lightning Talk). | Hiroyuki Yamada, Toshihiro Suzuki, Vincent Guilpain, Mitsunori Komatsu, Akihiro Okuno, Jun Nemoto |
| 2023 | Towards a Practical HTAP Engine for Polystores. | Hiroyuki Yamada, Akihiro Okuno, Toshihiro Suzuki, Jun Nemoto |