Evidence of Chaotic Behavior in Noise From Industrial Process. - Chuanhou Gao; Jixin Qian (IEEE Trans. Signal Process., 2007)

An optimal control method for applications using wireless sensor/actuator networks. - Xianghui Cao; Jiming Chen 001; Chuanhou Gao; Youxian Sun (Comput. Electr. Eng., 2009)

Data-driven predictive control for blast furnace ironmaking process. - Jiu-sun Zeng; Chuanhou Gao; Hongye Su (Comput. Chem. Eng., 2010)

Soft sensor development using non-Gaussian Just-In-Time modeling. - Jiusun Zeng; Lei Xie 007; Chuanhou Gao; Jingjing Sha (CDC/ECC, 2011)

Design of a multiple kernel learning algorithm for LS-SVM by convex programming. - Ling Jian; Zhonghang Xia; Xijun Liang; Chuanhou Gao (Neural Networks, 2011)

Data-Driven Modeling Based on Volterra Series for Multidimensional Blast Furnace System. - Chuanhou Gao; Ling Jian; Xueyi Liu; Jiming Chen 001; Youxian Sun (IEEE Trans. Neural Networks, 2011)

Energy-Efficient Robust Coverage under Uncertainty in Wireless Sensor Networks. - Yafeng Zhao; Khuong Vu; Jiming Chen 001; Rong Zheng 001; Chuanhou Gao (WASA, 2012)

Modeling and Control of Complex Dynamic Systems: Applied Mathematical Aspects. - David Zhiwei Gao; Dexing Kong; Chuanhou Gao (J. Appl. Math., 2012)

A comparative analysis of support vector machines and extreme learning machines. - Xueyi Liu; Chuanhou Gao; Ping Li 017 (Neural Networks, 2012)

Constructing Multiple Kernel Learning Framework for Blast Furnace Automation. - Ling Jian; Chuanhou Gao; Zhonghang Xia (IEEE Trans Autom. Sci. Eng., 2012)

Modeling of the Thermal State Change of Blast Furnace Hearth With Support Vector Machines. - Chuanhou Gao; Ling Jian; Shihua Luo (IEEE Trans. Ind. Electron., 2012)

Modeling and Control of Complex Dynamic Systems 2013. - Zhiwei Gao 001; Dexing Kong; Chuanhou Gao; Michael Z. Q. Chen (J. Appl. Math., 2013)

Symmetric extreme learning machine. - Xueyi Liu; Ping Li 017; Chuanhou Gao (Neural Comput. Appl., 2013)

Binary Coding SVMs for the Multiclass Problem of Blast Furnace System. - Ling Jian; Chuanhou Gao (IEEE Trans. Ind. Electron., 2013)

Guest Editorial: Special section on data-driven approaches for complex industrial systems. - Zhiwei Gao 001; Henrik Saxén; Chuanhou Gao (IEEE Trans. Ind. Informatics, 2013)

Data-Driven Time Discrete Models for Dynamic Prediction of the Hot Metal Silicon Content in the Blast Furnace - A Review. - Henrik Saxén; Chuanhou Gao; Zhiwei Gao 001 (IEEE Trans. Ind. Informatics, 2013)

Novel Just-In-Time Learning-Based Soft Sensor Utilizing Non-Gaussian Information. - Lei Xie 007; Jiusun Zeng; Chuanhou Gao (IEEE Trans. Control. Syst. Technol., 2014)

Rule Extraction From Fuzzy-Based Blast Furnace SVM Multiclassifier for Decision-Making. - Chuanhou Gao; Qinghuan Ge; Ling Jian (IEEE Trans. Fuzzy Syst., 2014)

Integral regulation mechanism in phosphorylation cycles. - Zhou Fang; Bayu Jayawardhana; Arjan van der Schaft; Chuanhou Gao (CDC, 2017)

Enhancing Transparency of Black-box Soft-margin SVM by Integrating Data-based Prior Information. - Shaohan Chen; Chuanhou Gao; Ping Zhang (CoRR, 2017)

Stabilization of Input-Disturbed Stochastic Port-Hamiltonian Systems Via Passivity. - Zhou Fang; Chuanhou Gao (IEEE Trans. Autom. Control., 2017)

Asymptotic performance of regularized multi-task learning. - Shaohan Chen; Chuanhou Gao (CoRR, 2018)

Knowledge Integrated Classifier Design Based on Utility Optimization. - Shaohan Chen; Chuanhou Gao (CoRR, 2018)

Lyapunov Function Partial Differential Equations for Chemical Reaction Networks: Some Special Cases. - Zhou Fang; Chuanhou Gao (SIAM J. Appl. Dyn. Syst., 2019)

Complex Balancing Reconstructed to the Asymptotic Stability of Mass-Action Chemical Reaction Networks with Conservation Laws. - Min Ke; Zhou Fang; Chuanhou Gao (SIAM J. Appl. Math., 2019)

A Graphic Formulation of Nonisothermal Chemical Reaction Systems and the Analysis of Detailed Balanced Networks. - Zhou Fang; Arjan van der Schaft; Chuanhou Gao (SIAM J. Appl. Dyn. Syst., 2020)

Adaptation Mechanisms in Phosphorylation Cycles By Allosteric Binding and Gene Autoregulation. - Zhou Fang; Bayu Jayawardhana; Arjan van der Schaft; Chuanhou Gao (IEEE Trans. Autom. Control., 2020)

Linear Priors Mined and Integrated for Transparency of Blast Furnace Black-Box SVM Model. - Shaohan Chen; Chuanhou Gao (IEEE Trans. Ind. Informatics, 2020)

Random Intersection Chains. - Qiuqiang Lin; Chuanhou Gao (CoRR, 2021)

Online Interaction Detection for Click-Through Rate Prediction. - Qiuqiang Lin; Chuanhou Gao (CoRR, 2021)

An adaptive dimension reduction algorithm for latent variables of variational autoencoder. - Yiran Dong; Chuanhou Gao (CoRR, 2021)

Persistence of Delayed Complex Balanced Chemical Reaction Networks. - Xiaoyu Zhang; Chuanhou Gao (IEEE Trans. Autom. Control., 2021)

A Nonuniform Delay-Coordinate Embedding-Based Multiscale Predictor for Blast Furnace Systems. - Chuanhou Gao; Qiuqiang Lin; Jiasheng Ni; Wei Guo; Qihui Li (IEEE Trans. Control. Syst. Technol., 2021)

Noise-to-state exponentially stabilizing (state, input)-disturbed CSTRs with non-vanishing noise. - Yafei Lu; Zhou Fang; Chuanhou Gao; Denis Dochain (Autom., 2022)

Chemical reaction network decomposition technique for stability analysis. - Yafei Lu; Chuanhou Gao; Denis Dochain (Autom., 2022)

Transfer Learning in Information Criteria-based Feature Selection. - Shaohan Chen; Nikolaos V. Sahinidis; Chuanhou Gao (J. Mach. Learn. Res., 2022)

Lyapunov Function PDEs to the Stability of Some Complex Balancing Derivative and Compound Networks. - Yafei Lu; Chuanhou Gao; Denis Dochain (IEEE Trans. Autom. Control., 2022)

A Data-Based Compact High-Order Volterra Model for Complex Blast Furnace System. - Zeyang Zhang; Yafei Lu; Xinjie Wang; Chuanying Cheng; Chuanhou Gao (IEEE Trans. Ind. Informatics, 2022)

Capturing Persistence of High-Dimensional Delayed Complex Balanced Chemical Reaction Systems via Decomposition of Semilocking Sets. - Xiaoyu Zhang; Chuanhou Gao; Denis Dochain (CDC, 2023)

Domain Knowledge integrated for Blast Furnace Classifier Design. - Shaohan Chen; Di Fan; Chuanhou Gao (CoRR, 2023)

CF-VAE: Causal Disentangled Representation Learning with VAE and Causal Flows. - Di Fan; Yannian Kou; Chuanhou Gao (CoRR, 2023)

Causal Structure Learning by Using Intersection of Markov Blankets. - Yiran Dong; Chuanhou Gao (CoRR, 2023)

Automatic Implementation of Neural Networks through Reaction Networks - Part I: Circuit Design and Convergence Analysis. - Yuzhen Fan; Xiaoyu Zhang; Chuanhou Gao; Denis Dochain (CoRR, 2023)

Discovering Categorical Main and Interaction Effects Based on Association Rule Mining. - Qiuqiang Lin; Chuanhou Gao (IEEE Trans. Knowl. Data Eng., 2023)

Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability. - Shaohan Chen; Chuanhou Gao; Ping Zhang (ACM Trans. Intell. Syst. Technol., 2023)

On the relation between ω-limit set and boundaries of mass-action chemical reaction networks. - Xiaoyu Zhang; Zhou Fang; Chuanhou Gao; Denis Dochain (Autom., 2023)

New valid inequalities and formulations for the static joint Chance-constrained Lot-sizing problem. - Zeyang Zhang; Chuanhou Gao; James R. Luedtke (Math. Program., 2023)

Stochastic weak passivity for weakly stabilizing stochastic systems with nonvanishing noise. - Zhou Fang; Chuanhou Gao; Denis Dochain (Syst. Control. Lett., 2023)

Improved formulations of the joint order batching and picker routing problem. - Kai Zhang; Chuanhou Gao (Int. J. Prod. Res., 2023)

On Persistence of Some $ mathcal {W}_{I}$-Endotactic Chemical Reaction Networks. - Xiaoyu Zhang; Chuanhou Gao; Denis Dochain (IEEE Trans. Autom. Control., 2023)

Nonlinear Optimal Classification Trees. - Sen Xue; Xiaoyu Luo; Chuanhou Gao (ICMLCA, 2024)

Learning Network Representations with Disentangled Graph Auto-Encoder. - Di Fan; Chuanhou Gao (CoRR, 2024)

Treatment Effects Estimation on Networked Observational Data using Disentangled Variational Graph Autoencoder. - Di Fan; Renlei Jiang; Yunhao Wen; Chuanhou Gao (CoRR, 2024)

Use statistical analysis to approximate integrated order batching problem. - Sen Xue; Chuanhou Gao (Int. J. Prod. Res., 2024)

Efficacy of Regularized Multitask Learning Based on SVM Models. - Shaohan Chen; Zhou Fang; Sijie Lu; Chuanhou Gao (IEEE Trans. Cybern., 2024)

Robust Stacked Probabilistic Latent Variable Model for Fault Isolation of Dynamic Process With Outliers. - Jiusun Zeng; Cheng Lu; Le Yao; Yi Liu 037; Shihua Luo; Fei Wang; Chuanhou Gao (IEEE Trans Autom. Sci. Eng., 2024)

Controlling the occurrence sequence of reaction modules through biochemical relaxation oscillators. - Xiaopeng Shi; Chuanhou Gao; Denis Dochain (Autom., 2025)

Network combination to persistence of high-dimensional delayed complex balanced mass-action systems. - Xiaoyu Zhang; Chuanhou Gao; Denis Dochain (Autom., 2025)

ORIC: Feature Interaction Detection through Online Random Interaction Chains for Click-Through Rate Prediction. - Yannian Kou; Qiuqiang Lin; Chuanhou Gao (ACM Trans. Knowl. Discov. Data, 2025)

LILI clustering algorithm: Limit Inferior Leaf Interval Integrated into Causal Forest for Causal Interference. - Yiran Dong; Di Fan; Chuanhou Gao (CoRR, 2025)

Intersecting the Markov Blankets of Endogenous and Exogenous Variables for Causal Discovery. - Yiran Dong; Chuanhou Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

DELBO: Efficient Score Algorithm for Feature Selection on Latent Variables of VAE. - Yiran Dong; Chuanhou Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)