Direct Nonlinear Order Reduction with Variational Analysis. - Lihong Feng; Xuan Zeng 001; Charles C. Chiang; Dian Zhou; Qiang Fang (DATE, 2004)

Two-sided projection method in variational equation model order reduction of nonlinear circuits. - Lihong Feng; Xuan Zeng 001; Jiarong Tong; Charles C. Chiang; Dian Zhou (ISCAS (4), 2004)

Review of model order reduction methods for numerical simulation of nonlinear circuits. - Lihong Feng (Appl. Math. Comput., 2005)

Parameter independent model order reduction. - Lihong Feng (Math. Comput. Simul., 2005)

Preserving the film coefficient as a parameter in the compact thermal model for fast electrothermal simulation. - Lihong Feng; Evgenii B. Rudnyi; Jan G. Korvink (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2005)

Time domain model order reduction by wavelet collocation method. - Xuan Zeng 001; Lihong Feng; Yangfeng Su; Wei Cai 003; Dian Zhou; Charles C. Chiang (DATE, 2006)

A one-shot projection method for interconnects with process variations. - Jun Tao 001; Xuan Zeng 001; Fan Yang 001; Yangfeng Su; Lihong Feng; Wei Cai 003; Dian Zhou; Charles C. Chiang (ISCAS, 2006)

Parametric model order reduction accelerated by subspace recycling. - Lihong Feng; Peter Benner; Jan G. Korvink (CDC, 2009)

Reduced-Order Modeling and ROM-Based Optimization of Batch Chromatography. - Peter Benner; Lihong Feng; Suzhou Li; Yongjin Zhang (ENUMATH, 2013)

Using surrogate models for efficient optimization of simulated moving bed chromatography. - Suzhou Li; Lihong Feng; Peter Benner; Andreas Seidel-Morgenstern (Comput. Chem. Eng., 2014)

Nonlinear model reduction of a continuous fluidized bed crystallizer. - Michael Mangold; Lihong Feng; Dmytro Khlopov; Stefan Palis; Peter Benner; Daniel Binev; Andreas Seidel-Morgenstern (J. Comput. Appl. Math., 2015)

Recycling BiCGSTAB with an Application to Parametric Model Order Reduction. - Kapil Ahuja; Peter Benner; Eric de Sturler; Lihong Feng (SIAM J. Sci. Comput., 2015)

An Efficient Output Error Estimation for Model Order Reduction of Parametrized Evolution Equations. - Yongjin Zhang; Lihong Feng; Suzhou Li; Peter Benner (SIAM J. Sci. Comput., 2015)

Model Order Reduction for nanoelectronics coupled problems with many inputs. - Nicodemus Banagaaya; Lihong Feng; Wim Schoenmaker; Peter Meuris; Aarnout Wieers; Renaud Gillon; Peter Benner (DATE, 2016)

POD-DEIM for efficient reduction of a dynamic 2D catalytic reactor model. - Jens Bremer; Pawan Goyal 003; Lihong Feng; Peter Benner; Kai Sundmacher (Comput. Chem. Eng., 2017)

Accelerating optimization and uncertainty quantification of nonlinear SMB chromatography using reduced-order models. - Yongjin Zhang; Lihong Feng; Andreas Seidel-Morgenstern; Peter Benner (Comput. Chem. Eng., 2017)

An index-aware parametric model order reduction method for parameterized quadratic differential-algebraic equations. - Nicodemus Banagaaya; Peter Benner; Lihong Feng; Peter Meuris; Wim Schoenmaker (Appl. Math. Comput., 2018)

Reduced-order modelling of parametric systems via interpolation of heterogeneous surrogates. - Yao Yue; Lihong Feng; Peter Benner (Adv. Model. Simul. Eng. Sci., 2019)

An Adaptive Pole-Matching Method for Interpolating Reduced-Order Models. - Yao Yue; Lihong Feng; Peter Benner (CoRR, 2019)

An Adaptive Sampling Approach for the Reduced Basis Method. - Sridhar Chellappa; Lihong Feng; Peter Benner (CoRR, 2019)

Adaptive Basis Construction and Improved Error Estimation for Parametric Nonlinear Dynamical Systems. - Sridhar Chellappa; Lihong Feng; Peter Benner (CoRR, 2019)

A new two-sided projection technique for model reduction of quadratic-bilinear descriptor systems. - Mian Ilyas Ahmad; Peter Benner; Lihong Feng (Int. J. Comput. Math., 2019)

Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter Domain. - Sridhar Chellappa; Lihong Feng; Valentin de la Rubia; Peter Benner (CoRR, 2020)

On Error Estimation for Reduced-order Modeling of Linear Non-parametric and Parametric Systems. - Lihong Feng; Peter Benner (CoRR, 2020)

Admissibility analysis and passive output feedback control for one-sided Lipschitz nonlinear singular Markovian jump systems with uncertainties. - Junchao Ren; Lihong Feng; Jun Fu; Tianyu Zhuang (Appl. Math. Comput., 2021)

Reduced basis method for the nonlinear Poisson-Boltzmann equation regularized by the range-separated canonical tensor format. - Cleophas Kweyu; Lihong Feng; Matthias Stein; Peter Benner (CoRR, 2021)

Inf-Sup-Constant-Free State Error Estimator for Model Order Reduction of Parametric Systems in Electromagnetics. - Sridhar Chellappa; Lihong Feng; Valentin de la Rubia; Peter Benner (CoRR, 2021)

Fast A Posteriori State Error Estimation for Reliable Frequency Sweeping in Microwave Circuits via the Reduced-Basis Method. - Valentin de la Rubia; Sridhar Chellappa; Lihong Feng; Peter Benner (CoRR, 2021)

Implicit higher-order moment matching technique for model reduction of quadratic-bilinear systems. - Mian Muhammad Arsalan Asif; Mian Ilyas Ahmad; Peter Benner; Lihong Feng; Tatjana Stykel (J. Frankl. Inst., 2021)

A Training Set Subsampling Strategy for the Reduced Basis Method. - Sridhar Chellappa; Lihong Feng; Peter Benner (J. Sci. Comput., 2021)

A FOM/ROM Hybrid Approach for Accelerating Numerical Simulations. - Lihong Feng; Guosheng Fu; Zhu Wang 003 (J. Sci. Comput., 2021)

Multivariate moment-matching for model order reduction of quadratic-bilinear systems using error bounds. - Muhammad Altaf Khattak; Mian Ilyas Ahmad; Lihong Feng; Peter Benner (Adv. Model. Simul. Eng. Sci., 2022)

Model Order Reduction for Delayed PEEC Models With Guaranteed Accuracy and Observed Stability. - Lihong Feng; Luigi Lombardi; Peter Benner; Daniele Romano; Giulio Antonini (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Multi-fidelity error estimation accelerates greedy model reduction of complex dynamical systems. - Lihong Feng; Luigi Lombardi; Giulio Antonini; Peter Benner (CoRR, 2023)

Parametric Dynamic Mode Decomposition for nonlinear parametric dynamical systems. - Shuwen Sun; Lihong Feng; Hoon Seng Chan; Tamara Milicic; Tanja Vidakovic-Koch; Peter Benner (CoRR, 2023)

Active-Learning-Driven Surrogate Modeling for Efficient Simulation of Parametric Nonlinear Systems. - Harshit Kapadia; Lihong Feng; Peter Benner (CoRR, 2023)

Accurate error estimation for model reduction of nonlinear dynamical systems via data-enhanced error closure. - Sridhar Chellappa; Lihong Feng; Peter Benner (CoRR, 2023)

Fast and Reliable Reduced-Order Models for Cardiac Electrophysiology. - Sridhar Chellappa; Baris Cansiz; Lihong Feng; Peter Benner; Michael Kaliske (CoRR, 2023)

Performance Analysis for Dual-Hop UWOC-RF Systems With NOMA. - Jiliang Zhang 003; Lihong Feng; Zi Yuan; Huanting Liu; Gaofeng Pan (IEEE Internet Things J., 2023)

Data-Augmented Predictive Deep Neural Network: Enhancing the extrapolation capabilities of non-intrusive surrogate models. - Shuwen Sun; Lihong Feng; Peter Benner (CoRR, 2024)

Discrete empirical interpolation in the tensor t-product framework. - Sridhar Chellappa; Lihong Feng; Peter Benner (CoRR, 2024)

Estimates of the Kolmogorov n-Width for Nonlinear Transformations With Application to Distributed-Parameter Control Systems. - Alexander Zuyev 001; Lihong Feng; Peter Benner (IEEE Control. Syst. Lett., 2024)

Performance evaluation for multi-antenna UWOC-RF NOMA systems with imperfect CSI and SIC. - Lihong Feng; Jiliang Zhang 003; Huanting Liu; Shanghui Li; Jiang Li; Gaofeng Pan (Digit. Signal Process., 2024)

Performance analysis for wireless-powered relaying UWOC-RF systems. - Jiliang Zhang 003; Huanting Liu; Lihong Feng; Gaofeng Pan (J. Frankl. Inst., 2024)

Adaptive Event-Triggered Time-Varying Output Group Formation Containment Control of Heterogeneous Multiagent Systems. - Lihong Feng; Bonan Huang; Jiayue Sun; Qiuye Sun; Xiangpeng Xie 001 (IEEE CAA J. Autom. Sinica, 2024)

Dynamic Event-Triggered Containment Control for T-S Fuzzy Multiagent Systems With Actuator Faults. - Lihong Feng; Bonan Huang; Xiangpeng Xie 001 (IEEE Syst. J., 2024)

A posteriori error estimation for model order reduction of parametric systems. - Lihong Feng; Sridhar Chellappa; Peter Benner (Adv. Model. Simul. Eng. Sci., 2024)

Parametric Dynamic Mode Decomposition for nonlinear parametric dynamical systems. - Shuwen Sun; Lihong Feng; Hoon Seng Chan; Tamara Milicic; Tanja Vidakovic-Koch; Fridolin Röder; Peter Benner (Zenodo, 2025)

Subspace-Distance-Enabled Active Learning for Efficient Data-Driven Model Reduction of Parametric Dynamical Systems. - Harshit Kapadia; Peter Benner; Lihong Feng (CoRR, 2025)

Interpretable Spatial-Temporal Fusion Transformers: Multi-Output Prediction for Parametric Dynamical Systems with Time-Varying Inputs. - Shuwen Sun; Lihong Feng; Peter Benner (CoRR, 2025)