activity
20222026
most citedAutomatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base

4 citations · 4 across the 9 of their papers we have counts for

collaborators

10 papers

cs.AI2026

SlowLab: Benchmarking Autonomous AI Agents on a Year of Experiments They Cannot Undo

Ningpei Ding, Zai Wen Feng

AI agents are increasingly proposed as autonomous experimenters, yet the benchmarks that test them mostly offer cheap experiments that answer at once. Experiments in physical facil…

cs.LG2024

Causal Effect Estimation using identifiable Variational AutoEncoder with Latent Confounders and Post-Treatment Variables

Yang Xie, Ziqi Xu, Debo Cheng +4

Estimating causal effects from observational data is challenging, especially in the presence of latent confounders. Much work has been done on addressing this challenge, but most o…

cs.LG2023

Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference

Debo Cheng, Yang Xie, Ziqi Xu +5

In causal inference, it is a fundamental task to estimate the causal effect from observational data. However, latent confounders pose major challenges in causal inference in observ…

q-bio.QM2023

Causal Intervention for Measuring Confidence in Drug-Target Interaction Prediction

Wenting Ye, Chen Li, Yang Xie +5

Identifying and discovering drug-target interactions(DTIs) are vital steps in drug discovery and development. They play a crucial role in assisting scientists in finding new drugs…

cs.DB2023

FASTAGEDS: Fast Approximate Graph Entity Dependency Discovery

Guangtong Zhou, Selasi Kwashie, Yidi Zhang +5

This paper studies the discovery of approximate rules in property graphs. We propose a semantically meaningful measure of error for mining graph entity dependencies (GEDs) at almos…

cs.SE2023

BPCE: A Prototype for Co-Evolution between Business Process Variants through Configurable Process Model

Linyue Liu, Xi Guo, Chun Ouyang +5

With the continuous development of business process management technology, the increasing business process models are usually owned by large enterprises. In large enterprises, diff…

cs.DB2023

SGMFQP:An Ontology-based Swine Gut Microbiota Federated Query Platform

Ying Wang, Qin Jiang, Yilin Geng +9

Gut microbiota plays a crucial role in modulating pig development and health, and gut microbiota characteristics are associated with differences in feed efficiency. To answer open…

cs.DS2023

Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation

Haoran Zhao, Yinghao Zhang, Debo Cheng +2

Causal inference plays an important role in under standing the underlying mechanisation of the data generation process across various domains. It is challenging to estimate the ave…

cs.DB2023

An Efficient Approach for Discovering Graph Entity Dependencies (GEDs)

Dehua Liu, Selasi Kwashie, Yidi Zhang +6

Graph entity dependencies (GEDs) are novel graph constraints, unifying keys and functional dependencies, for property graphs. They have been found useful in many real-world data qu…

cs.AI2022★ 4 cited

Automatic Semantic Modeling for Structural Data Source with the Prior Knowledge from Knowledge Base

Jiakang Xu, Wolfgang Mayer, HongYu Zhang +2

A critical step in sharing semantic content online is to map the structural data source to a public domain ontology. This problem is denoted as the Relational-To-Ontology Mapping P…