3 citations · 4 across the 8 of their papers we have counts for
9 papers
HyEm: Query-Adaptive Hyperbolic Retrieval for Biomedical Ontologies via Euclidean Vector Indexing
Ou Deng, Shoji Nishimura, Atsushi Ogihara +1
Retrieval-augmented generation (RAG) for biomedical knowledge faces a hierarchy-aware ontology grounding challenge: resources like HPO, DO, and MeSH use deep ``is-a" taxonomies, ye…
Statistical-Neural Interaction Networks for Interpretable Mixed-Type Data Imputation
Ou Deng, Shoji Nishimura, Atsushi Ogihara +1
Real-world tabular databases routinely combine continuous measurements and categorical records, yet missing entries are pervasive and can distort downstream analysis. We propose St…
Auditable Unit-Aware Thresholds in Symbolic Regression via Logistic-Gated Operators
Ou Deng, Ruichen Cong, Jianting Xu +3
AI for health will only scale when models are not only accurate but also readable, auditable, and governable. Many clinical and public-health decisions hinge on numeric thresholds…
Phenome-wide causal proteomics enhance systemic lupus erythematosus flare prediction: A study in Asian populations
Liying Chen, Ou Deng, Ting Fang +7
Objective: Systemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by unpredictable flares. This study aimed to develop a novel proteomics-based risk predi…
Evolutionary Causal Discovery with Relative Impact Stratification for Interpretable Data Analysis
Ou Deng, Shoji Nishimura, Atsushi Ogihara +1
This study proposes Evolutionary Causal Discovery (ECD) for causal discovery that tailors response variables, predictor variables, and corresponding operators to research datasets.…
Missing Data Imputation Based on Dynamically Adaptable Structural Equation Modeling with Self-Attention
Ou Deng, Qun Jin
Addressing missing data in complex datasets including electronic health records (EHR) is critical for ensuring accurate analysis and decision-making in healthcare. This paper propo…
System Information Decomposition
Aobo Lyu, Bing Yuan, Ou Deng +2
To characterize the complex higher-order interactions among variables within a system, this study introduces a novel framework, termed System Information Decomposition (SID), aimed…
Policy-Based Reinforcement Learning for Assortative Matching in Human Behavior Modeling
Ou Deng, Qun Jin
This paper explores human behavior in virtual networked communities, specifically individuals or groups' potential and expressive capacity to respond to internal and external stimu…
An Extended Epidemic Model on Interconnected Networks for COVID-19 to Explore the Epidemic Dynamics
Ou Deng, Kiichi Tago, Qun Jin
COVID-19 has resulted in a public health global crisis. The pandemic control necessitates epidemic models that capture the trends and impacts on infectious individuals. Many exciti…