Yue, Y.; Feng, L.; Benner, P.; Pulch, R.; Schöps, S.: Reduced Models and Uncertainty Quantification. In: Nanoelectronic Coupled Problems Solutions, S. 329 - 346 (Hg. ter Maten, E. J. W.; Brachtendorf, H.-G.; Pulch, R.; Schoenmaker, W.; De Gersem, H.). Springer International Publishing, Cham (2019)

Banagaaya, N.; Feng, L.; Schoenmaker, W.; Meuris, P.; Gillon, R.; Benner, P.: Sparse Model Order Reduction for Electro-Thermal Problems with Many Inputs. In: Scientific Computing in Electrical Engineering, S. 189 - 202 (Hg. Langer, U.; Amrhein, W.; Zulehner, W.). Springer International Publishing, Cham (2018)

Banagaaya, N.; Benner, P.; Feng, L.: Parametric Model Order Reduction for Electro-Thermal Coupled Problems with Many Inputs. In: Progress in Industrial Mathematics at ECMI 2016, S. 263 - 270 (Hg. Quintela, P.; Barral, P.; Gómez, D.; Pena, F. J.; Rodríguez, J. et al.). Springer International Publishing, Cham (2017)

Feng, L.; Antoulas, A. C.; Benner, P.: Automatic Generation of Reduced Order Models for Linear Parametric Systems. In: Progress in Industrial Mathematics at ECMI 2014, S. 811 - 818 (Hg. Russo, G.; Capasso, V.; Nicosia, G.; Romano, V.). Springer International Publishing, Cham (2017)

Janssen, H. H. J. M.; Benner, P.; Bittner, K.; Brachtendorf, H.-G.; Feng, L.; ter Maten, E. J. W.; Pulch, R.; Schoenmaker, W.; Schöps, S.; Tischendorf, C.: The European Project nanoCOPS for Nanoelectronic Coupled Problems Solutions. In: Progress in Industrial Mathematics at ECMI 2014, S. 835 - 842 (Hg. Russo, G.; Capasso, V.; Nicosia, G.; Romano, V.). Springer International Publishing, Cham (2017)

Feng, L.; Meuris, P.; Schoenmaker, W.; Benner, P.: Parametric and Reduced-Order Modeling for the Thermal Analysis of Nanoelectronic Structures. In: Scientific Computing in Electrical Engineering, S. 155 - 163 (Hg. Bartel, A.; Clemens, M.; Günther, M.; ter Maten, E. J. W.). Springer International Publishing, Cham (2016)

Benner, P.; Breiten, T.; Feng, L.: Matrix Equations and Model Reduction. In: Matrix Functions and Matrix Equations, S. 50 - 75 (Hg. Bai, Z.; Gao, W.; Su, Y.). World Scientific Publishing, Singapore (2015)

Benner, P.; Feng, L.; Li, S.; Zhang, Y.: Reduced-Order Modeling and ROM-Based Optimization of Batch Chromatography. In: Numerical Mathematics and Advanced Applications - ENUMATH 2013, S. 427 - 435 (Hg. Abdulle, A.; Deparis, S.; Kressner, D.; Nobile, F.; Picasso, M.). Springer International Publishing, Cham (2015)

Benner, P.; Feng, L.: A Robust Algorithm for Parametric Model Order Reduction Based on Implicit Moment Matching. In: Reduced Order Methods for Modeling and Computational Reduction, S. 159 - 185 (Hg. Quarteroni, A.; Rozza, G.). Springer International Publishing, Cham (2014)

Feng, L.; Benner, P.; Korvink, J. G.: System-Level Modeling of MEMS by Means of Model Order Reduction (Mathematical Approximation) - Mathematical Background. In: System-level Modeling of MEMS, S. 53 - 93 (Hg. Bechtold, T.; Schrag, G.; Feng, L.). Wiley-VCH, Weinheim (2013)

Bansal, V.; Feng, L.; de la Rubia, V.; Benner, P.: Parametric S-Parameter Prediction Using Deep Learning. In: 33rd Conference on Electrical Performance of Electronic Packages and Systems (EPEPS 2024), Code 204345. 33rd Conference on Electrical Performance of Electronic Packages and Systems (EPEPS 2024), Toronto, Canada, 06. Oktober 2024 - 09. Oktober 2024. IEEE, Boca Raton (2024)

Wang, C.; Feng, L.; Lu, W.; Bian, W.; You, Z.; Benner, P.: Active Learning enhanced Deep-Learning Surrogate Model for fast MEMS Design with High-Dimensional Design Parameter Spaces. In: 2024 IEEE 19th International Conference on Nano/Micro Engineered and Molecular Systems (NEMS), S. 1 - 4. 2024 IEEE 19th International Conference on Nano/Micro Engineered and Molecular Systems (NEMS), Kyoto, Japan, 02. Mai 2024 - 05. Mai 2024. IEEE, Boca Raton (2024)

Mattucci, E.; Feng, L.; Benner, P.; Romano, D.; Antonini, G.: Fast Frequency-Domain Analysis for Parametric Electromagnetic Models Using Deep Learning. In: 2023 IEEE 32nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), S. 1 - 3. IEEE 32nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), Milpitas, CA, USA, 15. Oktober 2023 - 18. Oktober 2023. IEEE, Boca Raton (2023)

Feng, L.; Lombardi, L.; Antonini, G.; Benner, P.: Stable Macromodels for Delayed PEEC Models with Error Estimation. In: 2021 International Applied Computational Electromagnetics Society Symposium (ACES), S. 1 - 4. 2021 International Applied Computational Electromagnetics Society Symposium (ACES), Hamilton, ON, Canada, 01. August 2021 - 05. August 2021. IEEE (2021)

Feng, L.; Benner, P.: Efficient Error Estimator for Model Order Reduction of Linear Parametric Systems. In: IEEE MTT-S International Microwave Symposium (IMS), S. 346 - 349. IEEE MTT-S International Microwave Symposium (IMS) , Boston, USA, 02. Juni 2019 - 07. Juni 2019. (2019)

Yue, Y.; Feng, L.; Benner, P.: An Adaptive Method for Interpolating Reduced-Order Models Based on Matching and Continuation of Poles. In: 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), S. 1 - 4. 2019 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), Boston, USA, 29. Mai 2019 - 31. Mai 2019. IEEE (2019)

Yue, Y.; Feng, L.; Benner, P.: Interpolation of Reduced-Order Models Based on Modal Analysis. In: Proceedings of the 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, S. 1 - 4. 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, Reykjavik, Ireland, 08. August 2018 - 10. August 2018. (2018)

Banagaaya, N.; Feng, L.; Schoenmaker, W.; Meuris, P.; Wieers, A.; Gillon, R.; Benner, P.: Model Order Reduction for Nanoelectronics Coupled Problems with Many Inputs. In: Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), S. 313 - 318. 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE 2016), Dresden, Germany, 14. März 2016 - 18. März 2016. (2016)

Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Nonlinear Model Order Reduction for Catalytic Tubular Reactors. In: 26th European Symposium on Computer Aided Process Engineering, S. 2373 - 2378. 26th European Symposium on Computer Aided Process Engineering - ESCAPE 26, Portorož, Slovenia, 12. Juni 2016 - 15. Juni 2016. (2016)

Kweyu, C. M.; Hess, M. W.; Feng, L.; Stein, M.; Benner, P.: Reduced Basis Method for Poisson-Boltzmann Equation. In: Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering: Volume II, S. 4187 - 4195 (Hg. Papadrakakis, M.; Papadopoulos, V.; Stefanou, G.; Plevris, V.). VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece, 05. Juni 2016 - 10. Juni 2016. National Technical University of Athens (NTUA), Athens, Greece (2016)

Ahmad, M. I.; Benner, P.; Feng, L.: A New Interpolatory Model Reduction Approach for Quadratic Bilinear Descriptor Systems. 86th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Lecce, Italy, 23. März 2015 - 27. März 2015. Proceedings in Applied Mathematics and Mechanics 15 (1), S. 589 - 590 (2015)

Yue, Y.; Feng, L.; Meuris, P.; Schoenmaker, W.; Benner, P.: Application of Krylov-type Parametric Model Order Reduction in Efficient Uncertainty Quantification of Electro-thermal Circuit Models. In: Proceedings of the Progress In Electromagnetics Research Symposium (PIERS 2015), S. 379 - 384. 36th Progress In Electromagnetics Research Symposium, Prague, Czech Republic, 06. Juli 2015 - 09. Juli 2015. (2015)

Bechtold, T.; Schrag, G.; Feng, L.: Enabling technologies for system-level simulation of MEMS. In: Electronics System-Integration Technology Conference (ESTC), 2014, S. 1 - 6. Electronics System-Integration Technology Conference (ESTC 2014), Helsinki, Finland, 16. September 2014 - 18. September 2014. (2014)

Yue, Y.; Feng, L.; Seidel-Morgenstern, A.; Benner, P.: Efficient Model Reduction of SMB Chromatography by Krylov-subspace Method with Application to Uncertainty Quantification. In: 24th European Symposium on Computer Aided Process Engineering, S. 925 - 930. 24th European Symposium on Computer Aided Process Engineering - ESCAPE, Budapest, Ungarn, 15. Juni 2014 - 18. Juni 2014. (2014)

Yue, Y.; Li, S.; Feng, L.; Seidel-Morgenstern, A.; Benner, P.: Using Model Order Reduction to Accelerate Optimization of Multi-Stage Linear Dynamical Systems. In: Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014, S. 453 - 458. 4th International Conference on Engineering Optimization, Lisbon, Portugal, 08. September 2014 - 11. September 2014. (2014)

Bechtold, T.; Schrag, G.; Feng, L.: Enabling technologies for system-level simulation of MEMS. In: Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), S. 1 - 6. EuroSimE 2013 - 14th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems, Wroclaw, Poland, 14. April 2013 - 17. April 2013. (2013)

Li, S.; Feng, L.; Benner, P.; Seidel-Morgenstern, A.: Efficient Optimization of Simulated Moving Bed Processes Using Reduced Order Models. In: 22nd European Symposium on Computer Aided Process Engineering, S. 1232 - 1236 (Hg. Bogle, D. L.; Fairweather, M.). ESCAPE 22 - 22nd European Symposium on Computer Aided Process Engineering, London, UK, 17. Juni 2012 - 20. Juni 2012. (2012)

Banagaaya, N.; Feng, L.; Meuris, P.; Schoenmaker, W.; Benner, P.: Model Order Reduction of an Electro-Thermal Package Model. In IFAC-PapersOnLine, 48 (1), S. 934 - 935. 8th Vienna International Conference on Mathematical Modelling, Vienna, Austria, 18. Februar 2015 - 20. Februar 2015. (2015)

Zhang, Y.; Feng, L.; Li, S.: An Efficient Output Error Bound for Model Order Reduction of Parametrized Evolution Equations. In IFAC-PapersOnLine, 48 (1), S. 9 - 10. 8th Vienna International Conference on Mathematical Modelling MATHMOD, Vienna, Austria, 18. Februar 2015 - 20. Februar 2015. (2015)

Sun, S.; Feng, L.; Chan, H. S.; Miličić, T.; Vidaković-Koch, T.; Benner, P.: Parametric dynamic mode decomposition for nonlinear parametric dynamical systems. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics, Aachen, Germany (2022)

Sun, S.; Feng, L.; Chan, H. S.; Röder, F.; Miličić, T.; Vidaković-Koch, T.; Benner, P.: Parametric dynamic mode decomposition for nonlinear parametric dynamical systems. Model Reduction and Surrogate Modeling (MORE), Berlin, Germany (2022)

Kweyu, C. M.; Feng, L.; Stein, M.; Benner, P.: Fast solution of the Poisson-Boltzmann equation by the reduced basis method and range-separated canonical tensor format. YCOPE 2019 - 1st International Young Professionals Conference on Process Engineering, Magdeburg, Germany (2019)

Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Towards Fast Optimal Control of CO₂Methanation Reactors via POD-DEIM. MODRED 2017, Odense, Denmark (2017)

Kweyu, C. M.; Feng, L.; Stein, M.; Benner, P.: Reduced basis method for Poisson-Boltzmann equation. 3rd Workshop on Model Reduction of Complex Dynamical Systems (MODRED 2017), Odense, Denmark (2017)

Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Reduced Order Modeling and Optimization of CO₂ Methanation Reactors. ALOP Workshop: Reduced Order Models in Optimization, Trier, Germany (2016)

Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Reduced Order Modeling and Optimization of CO₂ Methanation Reactors. Workshop on Optimal and Feedback Control of Differential Equations, Konstanz, Germany (2016)

Kweyu, C. M.; Hess, M. W.; Feng, L.; Stein, M.; Benner, P.: Reduced Basis Method for Poisson-Boltzmann Equation. Reduced Basis Summer School 2016, Hedersleben, Germany (2016)

Kweyu, C. M.; Hess, M. W.; Feng, L.; Stein, M.; Benner, P.: Reduced Basis Method for Poisson-Boltzmann Equation. VII European Congress on Computational Methods in Applied Sciences and Engineering, Crete Island, Greece (2016)

Bremer, J.; Goyal, P. K.; Feng, L.; Benner, P.; Sundmacher, K.: Optimization and Reduced Order Modeling of CO₂ Methanation Reactors. KoMSO Challenge Workshop "Reduced-Order Modeling for Simulation and Optimization"​, Renningen, Germany (2016)

Chellappa, S.; Feng, L.; Benner, P.: Discrete Empirical Interpolation in the Tensor t-Product Framework. (2024)

Chellappa, S.; Feng, L.; Benner, P.: Discrete Empirical Interpolation in the Tensor t-Product Framework. (2024)

Sun, S.; Feng, L.; Benner, P.: Data-Augmented Predictive Deep Neural Network: Enhancing the Extrapolation Capabilities of Non-Intrusive Surrogate Models. (2024)

Sun, S.; Feng, L.; Chan, H. S.; Miličić, T.; Vidaković-Koch, T.; Benner, P.: Parametric Dynamic Mode Decomposition for Nonlinear Parametric Dynamical Systems. (2023)

Yue, Y.; Feng, L.; Benner, P.: An Adaptive Pole-Matching Method for Interpolating Reduced-Order Models. (2019)