| 2021 | Medical Entity Disambiguation Using Graph Neural Networks. | Alina Vretinaris, Chuan Lei, Vasilis Efthymiou, Xiao Qin, Fatma zcan |
| 2021 | Expand your Training Limits! Generating Training Data for ML-based Data Management. | Francesco Ventura, Zoi Kaoudi, Jorge-Arnulfo Quian-Ruiz, Volker Markl |
| 2021 | Parallel Index-Based Structural Graph Clustering and Its Approximation. | Tom Tseng, Laxman Dhulipala, Julian Shun |
| 2021 | SOFOS: Demonstrating the Challenges of Materialized View Selection on Knowledge Graphs. | Georgia Troullinou, Haridimos Kondylakis, Matteo Lissandrini, Davide Mottin |
| 2021 | Conditional Cuckoo Filters. | Daniel Ting, Rick Cole |
| 2021 | FeatTS: Feature-based Time Series Clustering. | Donato Tiano, Angela Bonifati, Raymond T. Ng |
| 2021 | DFI: The Data Flow Interface for High-Speed Networks. | Lasse Thostrup, Jan Skrzypczak, Matthias Jasny, Tobias Ziegler, Carsten Binnig |
| 2021 | To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News. | Saravanan Thirumuruganathan, Michael Simpson, Laks V. S. Lakshmanan |
| 2021 | CoRM: Compactable Remote Memory over RDMA. | Konstantin Taranov, Salvatore Di Girolamo, Torsten Hoefler |
| 2021 | Resource-efficient Shared Query Execution via Exploiting Time Slackness. | Dixin Tang, Zechao Shang, William W. Ma, Aaron J. Elmore, Sanjay Krishnan |
| 2021 | Learning-Aided Heuristics Design for Storage System. | Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng |
| 2021 | Deep Data Integration. | Wang-Chiew Tan |
| 2021 | Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models. | Ki Hyun Tae, Steven Euijong Whang |
| 2021 | PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration. | Shixuan Sun, Yuhang Chen, Bingsheng He, Bryan Hooi |
| 2021 | Learned Cardinality Estimation for Similarity Queries. | Ji Sun, Guoliang Li, Nan Tang |
| 2021 | Reducing Ambiguity in Json Schema Discovery. | William Spoth, Oliver Kennedy, Ying Lu, Beda Christoph Hammerschmidt, Zhen Hua Liu |
| 2021 | Tuplex: Data Science in Python at Native Code Speed. | Leonhard F. Spiegelberg, Rahul Yesantharao, Malte Schwarzkopf, Tim Kraska |
| 2021 | GRIP: Constraint-based Explanation of Missing Answers for Graph Queries. | Qi Song, Hanchao Ma, Peng Lin, Yinghui Wu |
| 2021 | Why Not Match: On Explanations of Event Pattern Queries. | Shaoxu Song, Ruihong Huang, Yu Gao, Jianmin Wang |
| 2021 | Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes. | Jie Song, Yeye He |
| 2021 | On Saving Outliers for Better Clustering over Noisy Data. | Shaoxu Song, Fei Gao, Ruihong Huang, Yihan Wang |
| 2021 | Vertex-centric Parallel Computation of SQL Queries. | Ainur Smagulova, Alin Deutsch |
| 2021 | Scalable Multi-Query Execution using Reinforcement Learning. | Panagiotis Sioulas, Anastasia Ailamaki |
| 2021 | Raptor: Large Scale Processing of Big Raster + Vector Data. | Samriddhi Singla |
| 2021 | Clonos: Consistent Causal Recovery for Highly-Available Streaming Dataflows. | Pedro F. Silvestre, Marios Fragkoulis, Diomidis Spinellis, Asterios Katsifodimos |