| 2021 | Top-K Deep Video Analytics: A Probabilistic Approach. | Ziliang Lai, Chenxia Han, Chris Liu, Pengfei Zhang, Eric Lo, Ben Kao |
| 2021 | Efficient Deterministic Concurrency Control Under Practical Isolation Levels. | Ziliang Lai |
| 2021 | Distributed training for accelerating metalearning algorithms. | Shruti Kunde, Amey Pandit, Mayank Mishra, Rekha Singhal |
| 2021 | Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil? | Arun Kumar |
| 2021 | Flow Provenance in Temporal Interaction Networks. | Chrysanthi Kosyfaki |
| 2021 | Index-Accelerated Pattern Matching in Event Stores. | Michael Krber, Nikolaus Glombiewski, Bernhard Seeger |
| 2021 | iTurboGraph: Scaling and Automating Incremental Graph Analytics. | Seongyun Ko, Taesung Lee, Kijae Hong, Wonseok Lee, In Seo, Jiwon Seo, Wook-Shin Han |
| 2021 | Building Advanced SQL Analytics From Low-Level Plan Operators. | Andr Kohn, Viktor Leis, Thomas Neumann |
| 2021 | Framework for Differentially Private Data Analysis with Multiple Accuracy Requirements. | Karl Knopf |
| 2021 | Combining Sampling and Synopses with Worst-Case Optimal Runtime and Quality Guarantees for Graph Pattern Cardinality Estimation. | Kyoungmin Kim, Hyeonji Kim, George Fletcher, Wook-Shin Han |
| 2021 | Rethink the Scan in MVCC Databases. | Jong-Bin Kim, Kihwang Kim, Hyunsoo Cho, Jaeseon Yu, Sooyong Kang, Hyungsoo Jung |
| 2021 | Versatile Equivalences: Speeding up Subgraph Query Processing and Subgraph Matching. | Hyunjoon Kim, Yunyoung Choi, Kunsoo Park, Xuemin Lin, Seok-Hee Hong, Wook-Shin Han |
| 2021 | Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks. | Hakbin Kim, Dong-Wan Choi |
| 2021 | Boosting Graph Similarity Search through Pre-Computation. | Jongik Kim |
| 2021 | Shedding Light on Opaque Application Queries. | Kapil Khurana, Jayant R. Haritsa |
| 2021 | A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems. | George Katsogiannis-Meimarakis, Georgia Koutrika |
| 2021 | Jigsaw: A Data Storage and Query Processing Engine for Irregular Table Partitioning. | Donghe Kang, Ruochen Jiang, Spyros Blanas |
| 2021 | Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload. | Johan Kok Zhi Kang, Gaurav, Sien Yi Tan, Feng Cheng, Shixuan Sun, Bingsheng He |
| 2021 | Proportionality in Spatial Keyword Search. | Georgios Kalamatianos, Georgios John Fakas, Nikos Mamoulis |
| 2021 | Efficient String Sort with Multi-Character Encoding and Adaptive Sampling. | Wen Jin, Weining Qian, Aoying Zhou |
| 2021 | A-Tree: A Dynamic Data Structure for Efficiently Indexing Arbitrary Boolean Expressions. | Shuping Ji, Hans-Arno Jacobsen |
| 2021 | Good to the Last Bit: Data-Driven Encoding with CodecDB. | Hao Jiang, Chunwei Liu, John Paparrizos, Andrew A. Chien, Jihong Ma, Aaron J. Elmore |
| 2021 | Towards Demystifying Serverless Machine Learning Training. | Jiawei Jiang, Shaoduo Gan, Yue Liu, Fanlin Wang, Gustavo Alonso, Ana Klimovic, Ankit Singla, Wentao Wu, Ce Zhang |
| 2021 | Wisconsin Benchmark Data Generator: To JSON and Beyond. | Shiva Jahangiri |
| 2021 | COMPASS: Online Sketch-based Query Optimization for In-Memory Databases. | Yesdaulet Izenov, Asoke Datta, Florin Rusu, Jun Hyung Shin |