activity
20242026
most citedDisentangled Graph Autoencoder for Treatment Effect Estimation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

math.DS2026

Input-to-state stability of chemical reaction networks with application to molecular computation

Renlei Jiang, Xiaoyu Zhang, Chuanhou Gao +1

Input-to-state stability (ISS) provides a useful tool for analyzing the robustness of time-varying chemical reaction networks (CRNs). This paper investigates the ISS property for C…

q-bio.MN2025

Structure-conditioned input-to-state stability for layer-by-layer molecular computations in parallel chemical reaction networks

Renlei Jiang, Chuanhou Gao, Denis Dochain

Molecular computation in chemical reaction networks (CRNs) now constitutes a foundational framework for designing programmable biological systems. However, prevailing design method…

math.DS2025

Structure and input-to-state stability for composable computations in chemical reaction networks

Renlei Jiang, Chuanhou Gao, Denis Dochain

In the field of molecular computation based on chemical reaction networks (CRNs), leveraging parallelism to enable coupled mass-action systems (MASs) to retain predefined computati…

q-bio.MN2025

Input-to-state stability-based chemical reaction networks composition for molecular computations

Renlei Jiang, Yuzhen Fan, Di Fan +2

Molecular computation based on chemical reaction networks (CRNs) has emerged as a promising paradigm for designing programmable biochemical systems. However, the implementation of…

cs.LG2024★ 1 cited

Disentangled Graph Autoencoder for Treatment Effect Estimation

Di Fan, Renlei Jiang, Yunhao Wen +1

Treatment effect estimation from observational data has attracted significant attention across various research fields. However, many widely used methods rely on the unconfoundedne…