activity
20152023
most citedLyapunov Function Partial Differential Equations for Chemical Reaction Networks: Some Special Cases

25 citations · 55 across the 31 of their papers we have counts for

collaborators

31 papers

stat.ML2023

Causal Structure Learning by Using Intersection of Markov Blankets

Yiran Dong, Chuanhou Gao

In this paper, we introduce a novel causal structure learning algorithm called Endogenous and Exogenous Markov Blankets Intersection (EEMBI), which combines the properties of Bayes…

cs.LG2023

Causal Flow-based Variational Auto-Encoder for Disentangled Causal Representation Learning

Di Fan, Yannian Kou, Chuanhou Gao

Disentangled representation learning aims to learn low-dimensional representations where each dimension corresponds to an underlying generative factor. While the Variational Auto-E…

cs.LG2023

Domain Knowledge integrated for Blast Furnace Classifier Design

Shaohan Chen, Di Fan, Chuanhou Gao

Blast furnace modeling and control is one of the important problems in the industrial field, and the black-box model is an effective mean to describe the complex blast furnace syst…

math.DS2023

Capturing persistence of delayed complex balanced chemical reaction systems via decomposition of semilocking sets

Xiaoyu Zhang, Chuanhou Gao, Denis Dochain

With the increasing complexity of time-delayed systems, the diversification of boundary types of chemical reaction systems poses a challenge for persistence analysis. This paper fo…

math.DS2023★ 1 cited

Chemical relaxation oscillator designed to control molecular computation

Xiaopeng Shi, Chuanhou Gao, Denis Dochain

Embedding efficient calculation instructions into biochemical system has always been a research focus in synthetic biology. One of the key problems is how to sequence the chemical…

math.DS2022

Accurate control to run and stop chemical reactions via relaxation oscillators

Xiaopeng Shi, Chuanhou Gao, Denis Dochain

Regulation of multiple reaction modules is quite common in molecular computation and deep learning networks construction through chemical reactions, as is always a headache for tha…

math.DS2022

Design of universal chemical relaxation oscillator to control molecular computation

Xiaopeng Shi, Chuanhou Gao

Embedding efficient command operation into biochemical system has always been a research focus in synthetic biology. One of the key problems is how to sequence the chemical reactio…

math.OC2022

Use statistical analysis to approximate integrated order batching problem

Sen Xue, Chuanhou Gao

Order picking and order packing entail retrieving items from storage and packaging them according to customer requests. These activities have always been the main concerns of the c…

stat.ML2022

Gaussian mixture modeling of nodes in Bayesian network according to maximal parental cliques

Yiran Dong, Chuanhou Gao

This paper uses Gaussian mixture model instead of linear Gaussian model to fit the distribution of every node in Bayesian network. We will explain why and how we use Gaussian mixtu…

math.DS2022

Towards Programming Adaptive Linear Neural Networks Through Chemical Reaction Networks

Yuzhen Fan, Xiaoyu Zhang, Chuanhou Gao

This paper is concerned with programming adaptive linear neural networks (ALNNs) using chemical reaction networks (CRNs) equipped with mass-action kinetics. Through individually pr…

math.DS2022

On Stability of Two Kinds of Delayed Chemical Reaction Networks

Xiaoyu Zhang, Chuanhou Gao, Denis Dochain

For the networks that are linear conjugate to complex balanced systems, the delayed version may include two classes of networks: one class is still linear conjugate to the delayed…

stat.ML2021★ 2 cited

Transfer Learning in Information Criteria-based Feature Selection

Shaohan Chen, Nikolaos V. Sahinidis, Chuanhou Gao

This paper investigates the effectiveness of transfer learning based on Mallows' Cp. We propose a procedure that combines transfer learning with Mallows' Cp (TLCp) and prove that i…

cs.LG2021

Online Interaction Detection for Click-Through Rate Prediction

Qiuqiang Lin, Chuanhou Gao

Click-Through Rate prediction aims to predict the ratio of clicks to impressions of a specific link. This is a challenging task since (1) there are usually categorical features, an…

cs.DB2021★ 1 cited

Discovering Categorical Main and Interaction Effects Based on Association Rule Mining

Qiuqiang Lin, Chuanhou Gao

With the growing size of data sets, feature selection becomes increasingly important. Taking interactions of original features into consideration will lead to extremely high dimens…

stat.ML2021★ 2 cited

Random Intersection Chains

Qiuqiang Lin, Chuanhou Gao

Interactions between several features sometimes play an important role in prediction tasks. But taking all the interactions into consideration will lead to an extremely heavy compu…

math.DS2021

Chemical Reaction Network Decomposition Technique for Stability Analysis

Yafei Lu, Chuanhou Gao, Denis Dochain

This paper develops the concept of decomposition for chemical reaction networks, based on which a network decomposition technique is proposed to capture the stability of large-scal…

math.DS2020★ 1 cited

Lyapunov Function PDEs Method to the Stability of Some Chemical Reaction Networks

Yafei Lu, Chuanhou Gao

This paper contributes to extending the validity of Lyapunov function PDEs (in-vented by Fang and Gao in [SIAM Journal on Applied Dynamical Systems, 18(2019), pp. 1163-1199]and who…

math.DS2019

Lyapunov Function Partial Different Equations for Stability Analysis of a C of Chemical Reaction Networks

Shan Wu, Yafei Lu, Chuanhou Gao

We investigate a broad family of chemical reaction networks (CRNs) assigned with mass action kinetics, called complex-balanced-produced-CRNs (CBP-CRNs), which are generated by any…

math.DS2019

A graphic formulation of non-isothermal chemical reaction systems and the analysis of detailed balanced networks

Zhou Fang, Arjan van der Schaft, Chuanhou Gao

In this paper, we provide a graphic formulation of non-isothermal reaction systems and show that a non-isothermal detailed balanced network system converges (locally) asymptoticall…

math.DS2019

Some dynamical properties of delayed weakly reversible mass-action systems

Xiaoyu Zhang, Tian Zhang, Chuanhou Gao

This paper focuses on the dynamical properties of delayed complex balanced systems. We first study the relationship between the stoichiometric compatibility classes of delayed and…

math.OC2019★ 3 cited

Two-stage Stochastic Lot-sizing Problem with Chance-constrained Condition in the Second Stage

Zeyang Zhang, Chuanhou Gao, Shabbir Ahmed

In a given production planning horizon, the demands may only be comfirmed in part of the whole periods, and the others are uncertain. In this paper, we consider a two-stage stochas…

math.DS2019★ 1 cited

Persistence of Delayed Complex Balanced Chemical Reaction Networks

Xiaoyu Zhang, Chuanhou Gao

In this paper, we derive two sufficient conditions to diagnose the persistence of two classes of delayed complex balanced chemical reaction network systems equipped with mass-actio…

math.DS2018★ 4 cited

Revisiting Persistence of Chemical Reaction Networks through Lyapunov Function Partial Differential Equations

Xiaoyu Zhang, Zhou Fang, Chuanhou Gao

In this paper, we propose a novel technique, referred to as the Lyapunov Function PDEs technique, to diagnose persistence of chemical reaction networks with mass-action kinetics. T…

stat.ML2018

Knowledge Integrated Classifier Design Based on Utility Optimization

Shaohan Chen, Chuanhou Gao

This paper proposes a systematic framework to design a classification model that yields a classifier which optimizes a utility function based on prior knowledge. Specifically, as t…