Authors at This Institution
Listed authors are those whose most frequent affiliation is this institution.
Showing 9 of 9 authors.
Papers with at Least One Affiliated Author
Showing 16 of 16 papers, sorted by pagerank.
| Rank |
Paper |
Year |
Venue |
Pagerank |
| 1,391 |
Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks
|
2020 |
SIGMOD |
0.00010812249 |
| 1,493 |
Synthesizing Entity Matching Rules by Examples
|
2018 |
VLDB |
0.00010500948 |
| 1,748 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines
|
2019 |
VLDB |
9.7289385e-05 |
| 2,612 |
NG-DBSCAN: Scalable Density-Based Clustering for Arbitrary Data
|
2017 |
VLDB |
8.2237609e-05 |
| 3,402 |
RHEEM: Enabling Cross-Platform Data Processing - May The Big Data Be With You! -
|
2018 |
VLDB |
7.3269775e-05 |
| 3,717 |
Logical and Physical Optimizations for SQL Query Execution over Large Language Models
|
2025 |
SIGMOD |
7.0712441e-05 |
| 4,631 |
Transformers for Tabular Data Representation: A Tutorial on Models and Applications
|
2022 |
VLDB |
6.4926848e-05 |
| 7,764 |
Buckle: Evaluating Fact Checking Algorithms Built on Knowledge Bases
|
2019 |
VLDB |
5.4558382e-05 |
| 8,375 |
A system design for elastically scaling transaction processing engines in virtualized servers
|
2020 |
VLDB |
5.3423179e-05 |
| 8,440 |
RuDiK: Rule Discovery in Knowledge Bases
|
2018 |
VLDB |
5.3324907e-05 |
| 8,764 |
Exploratory Training: When Annotators Learn About Data
|
2023 |
SIGMOD |
5.2815275e-05 |
| 9,118 |
Generation of Training Examples for Tabular Natural Language Inference
|
2023 |
SIGMOD |
5.2255715e-05 |
| 9,953 |
Meta-Mappings for Schema Mapping Reuse
|
2019 |
VLDB |
5.1014321e-05 |
| 11,433 |
Panel on Neural Relational Data: Tabular Foundation Models, LLMs... or both?
|
2025 |
VLDB |
4.9769913e-05 |
| 11,861 |
Pythia: Unsupervised Generation of Ambiguous Textual Claims from Relational Data
|
2022 |
SIGMOD |
4.9769913e-05 |
| 13,662 |
Accelerating Tabular Inference: Training Data Generation with TENET
|
2025 |
VLDB |
- |