| 2025 | Featpilot: Automatic Feature Augmentation on Tabular Data. | Jiaming Liang, Chuan Lei, Xiao Qin, Jiani Zhang, Asterios Katsifodimos, Christos Faloutsos, Huzefa Rangwala |
| 2025 | On Temporal-Constraint Subgraph Matching. | Xiaoyu Leng, Guang Zeng, Hongchao Qin, Longlong Lin, Rong-Hua Li |
| 2025 | ZiGong 1.0: A Large Language Model for Financial Credit. | Yu Lei, Zixuan Wang, Chu Liu, Tongyao Wang |
| 2025 | MARIOH: Multiplicity-Aware Hypergraph Reconstruction. | Kyuhan Lee, Geon Lee, Kijung Shin |
| 2025 | Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts. | Jongha Lee, Taehyung Kwon, Heechan Moon, Kijung Shin |
| 2025 | Data-centric Approach of Macroscopic Physical System with NISQ Quantum Computers. | Junyong Lee, Jeihee Cho, Hyeonseong Jung, Euimin Lee, Sangmin Lee, Yunah Choi, Shiho Kim |
| 2025 | Experimental Analysis of Multi-Step Pipelines for Fair Classifications - More than the Sum of Their Parts? | Nico Lssig, Melanie Herschel |
| 2025 | GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction. | Tung Sum Thomas Kwok, Chi-Hua Wang, Guang Cheng |
| 2025 | LLM-MS: A Multi-Model LLM Search Engine. | Konstantin Krasovitskiy, Stelios Christou, Demetrios Zeinalipour-Yazti |
| 2025 | CausalFormer: An Interpretable Transformer for Temporal Causal Discovery (Extended Abstract). | Lingbai Kong, Wengen Li, Hanchen Yang, Yichao Zhang, Jihong Guan, Shuigeng Zhou |
| 2025 | Trail: A Knowledge Graph-Based Approach for Attributing Advanced Persistent Threats. | Isaiah J. King, Ramiro Ramirez, Benjamin Bowman, H. Howie Huang |
| 2025 | DEPA-Delta Shifting and Distribution Shaping for Efficient Adaptive Indexing. | Ahmad Khazaie, Holger Pirk |
| 2025 | A-DARTS: Stable Model Selection for Data Repair in Time Series. | Mourad Khayati, Guillaume Chacun, Zakhar Tymchenko, Philippe Cudr-Mauroux |
| 2025 | TabSketchFM: Sketch-Based Tabular Representation Learning for Data Discovery Over Data Lakes. | Aamod Khatiwada, Harsha Kokel, Ibrahim Abdelaziz, Subhajit Chaudhury, Julian Dolby, Oktie Hassanzadeh, Zhenhan Huang, Tejaswini Pedapati, Horst Samulowitz, Kavitha Srinivas |
| 2025 | LLM + Vector Data: Coupling of Large Language Models with Vector Data Management for Enhancing Data Science. | Arijit Khan, Yuxiang Wang, Weixi Zhang, Yao Tian, M. Tamer zsu |
| 2025 | Navigating Data Errors in Machine Learning Pipelines: Identify, Debug, and Learn. | Bojan Karlas, Babak Salimi, Sebastian Schelter |
| 2025 | Path-Based Summary Explanations for Graph Recommenders. | Danae Pla Karidi, Evaggelia Pitoura |
| 2025 | Exploring SIMD Vectorization in Aggregation Pipelines for Encoded IoT Data. | Rui Kang, Shaoxu Song, Jianmin Wang |
| 2025 | Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI. | Eser Kandogan, Nikita Bhutani, Dan Zhang, Rafael Li Chen, Sairam Gurajada, Estevam Hruschka |
| 2025 | Scalable Tabular Hierarchical Metadata Classification in Heterogeneous Structured Large-Scale Datasets Using Contrastive Learning. | Bhimesh Kandibedala, Gyanendra Shrestha, Anna Pyayt, Todor Ivanov, Michael N. Gubanov |
| 2025 | Optimizing Queries with Many-to-Many Joins. | Hasara Kalumin, Amol Deshpande |
| 2025 | TardySketch: A Framework for Cardinality Estimation Adaptable to Sliding Windows. | Xuyang Jing, Qinghua Cao, Chenhao Zhang, Zheng Yan, Wenxiu Ding, Witold Pedrycz, Pu Wang |
| 2025 | On Simplifying Large-Scale Spatial Vectors: Fast, Memory-Efficient, and Cost-Predictable $k$-Means. | Yushuai Ji, Zepeng Liu, Sheng Wang, Yuan Sun, Zhiyong Peng |
| 2025 | Dataset Discovery via Line Charts. | Daomin Ji, Hui Luo, Zhifeng Bao, J. Shane Culpepper |
| 2025 | An Experimental Study of GPU-Based Graph ANN Search Algorithms. | Yinzuo Jiang, Shimin Chen |