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Baur, U.; Benner, P.; Feng, L.: Model Order Reduction for Linear and Nonlinear Systems: A System-Theoretic Perspective. Archives of Computational Methods in Engineering 21 (4), pp. 331 - 358 (2014)

Li, S.; Feng, L.; Benner, P.; Seidel-Morgenstern, A.: Using Surrogate Models for Efficient Optimization of Simulated Moving Bed Chromatography. Computers and Chemical Engineering 67, pp. 121 - 132 (2014)

Li, S.; Yue, Y.; Feng, L.; Benner, P.; Seidel-Morgenstern, A.: Model Reduction for Linear Simulated Moving Bed Chromatography Systems Using Krylov-Subspace Methods. AIChE-Journal 60 (11), pp. 3773 - 3783 (2014)

Feng, L.; Benner, P.; Korvink, J. G.: Subspace Recycling Accelerates the Parametric Macro‐modeling of MEMS. International Journal for Numerical Methods in Engineering 94 (1), pp. 84 - 110 (2013)

Bechtold, T.; Schrag, G.; Feng, L. (Eds.): System-level Modeling of MEMS. Wiley-VCH, Weinheim (2013), 530 pp.

Chellappa, S.; Feng, L.; Benner, P.: An Adaptive Sampling Approach for the Reduced Basis Method. In: Realization and Model Reduction of Dynamical Systems – A Festschrift in Honor of 70th Birthday of Thanos Antoulas (Eds. Beattie, C.; Benner, P.; Embree, M.; Gugercin, S.; Lefteriu, S.). Springer (accepted)

Chellappa, S.; Feng, L.; de la Rubia, V.; Benner, P.: Adaptive Interpolatory MOR by Learning the Error Estimator in the Parameter Domain. In: Model Reduction of Complex Dynamical Systems (Eds. Breiten, T.; Faßbender, H.; Hinze, M.; Stykel, T.; Zimmermann, R.) (accepted)

Banagaaya, N.; Feng, L.; Benner, P.: Sparse (P)MOR for Electro-Thermal Coupled Problems with Many Inputs. In: Nanoelectronic Coupled Problems Solutions, pp. 311 - 328 (Eds. ter Maten, E. J. W.; Brachtendorf, H.-G.; Pulch, R.; Schoenmaer, W.; De Gersem, H.). Springer, Cham, Switzerland (2019)

Feng, L.; Benner, P.: Parametric Model Order Reduction for Electro-Thermal Coupled Problems. In: Nanoelectronic Coupled Problems Solutions, pp. 293 - 309 (Eds. ter Maten, E. J. W.; Brachtendorf, H.-G.; Pulch, R.; Schoenmaer, W.; De Gersem, H.). Springer, Cham, Switzerland (2019)

Yue, Y.; Feng, L.; Benner, P.; Pulch, R.; Schöps, S.: Reduced Models and Uncertainty Quantification. In: Nanoelectronic Coupled Problems Solutions, pp. 329 - 346 (Eds. ter Maten, E. J. W.; Brachtendorf, H.-G.; Pulch, R.; Schoenmaer, W.; De Gersem, H.). Springer, Cham, Switzerland (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, pp. 189 - 202 (Eds. Langer, U.; Amrhein, W.; Zulehner, W.) (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, pp. 263 - 270 (Eds. Quintela, P.; Barral, P.; Gómez, D.; Pena, F. J.; Rodríguez, J. et al.). Springer International Publishing, Cham, Switzerland (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, pp. 811 - 818 (Eds. Russo, G.; Capasso, V.; Nicosia, G.; Romano, V.). Springer International Publishing, Cham, Switzerland (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, pp. 835 - 842 (Eds. Russo, G.; Capasso, V.; Nicosia, G.; Romano, V.). Springer International Publishing, Cham, Switzerland (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, pp. 155 - 163 (Eds. Bartel, A.; Clemens, M.; Günther, M.; ter Maten, E. J. W.). Springer International Publishing, Switzerland (2016)

Benner, P.; Breiten, T.; Feng, L.: Matrix Equations and Model Reduction. In: Matrix Functions and Matrix Equations, pp. 50 - 75 (Eds. Bai, Z.; Gao, W.; Su, Y.). World Scientific, New Jersey (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, pp. 427 - 435 (Eds. 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, pp. 159 - 185 (Eds. 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, pp. 53 - 93 (Eds. Bechtold, T.; Schrag, G.; Feng, L.). Wiley-VCH, Weinheim (2013)

Feng, L.; Benner, P.: Efficient Error Estimator for Model Order Reduction of Linear Parametric Systems. In: IEEE MTT-S International Microwave Symposium Digest (IMS), Vol. 2019, 8700642, pp. 346 - 349. IEEE MTT-S International Microwave Symposium (IMS) , Boston, USA, June 02, 2019 - June 07, 2019. (2019)