activity
20202026
most citedCardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

17 citations · 24 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2026

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention

Ziqi Yin, Jianyang Gao, Peiqi Yin +2

Indexer-TopK, the operation to compute the scores and select the top-k candidates, is widely used by sparse attention algorithms in large language models and vector retrieval in re…

cs.DB2025

BMTree: Designing, Learning, and Updating Piecewise Space-Filling Curves for Multi-Dimensional Data Indexing

Jiangneng Li, Yuang Liu, Zheng Wang +5

Space-filling curves (SFC, for short) have been widely applied to index multi-dimensional data, which first maps the data to one dimension, and then a one-dimensional indexing meth…

cs.LG2022

On Inferring User Socioeconomic Status with Mobility Records

Zheng Wang, Mingrui Liu, Cheng Long +3

When users move in a physical space (e.g., an urban space), they would have some records called mobility records (e.g., trajectories) generated by devices such as mobile phones and…

cs.CL2022★ 1 cited

Entity Aware Syntax Tree Based Data Augmentation for Natural Language Understanding

Jiaxing Xu, Jianbin Cui, Jiangneng Li +2

Understanding the intention of the users and recognizing the semantic entities from their sentences, aka natural language understanding (NLU), is the upstream task of many natural…

cs.DB2021★ 17 cited

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

Yuxing Han, Ziniu Wu, Peizhi Wu +11

Cardinality estimation (CardEst) plays a significant role in generating high-quality query plans for a query optimizer in DBMS. In the last decade, an increasing number of advanced…

cs.AI2020★ 6 cited

FSPN: A New Class of Probabilistic Graphical Model

Ziniu Wu, Rong Zhu, Andreas Pfadler +5

We introduce factorize sum split product networks (FSPNs), a new class of probabilistic graphical models (PGMs). FSPNs are designed to overcome the drawbacks of existing PGMs in te…