Hao Wu
Hao Wu
Verified email at zedat.fu-berlin.de
Title
Cited by
Cited by
Year
Markov models of molecular kinetics: Generation and validation
JH Prinz, H Wu, M Sarich, B Keller, M Senne, M Held, JD Chodera, ...
The Journal of chemical physics 134 (17), 174105, 2011
9072011
TNF signaling drives myeloid-derived suppressor cell accumulation
X Zhao, L Rong, X Zhao, X Li, X Liu, J Deng, H Wu, X Xu, U Erben, P Wu, ...
The Journal of clinical investigation 122 (11), 4094-4104, 2012
2892012
VAMPnets for deep learning of molecular kinetics
A Mardt, L Pasquali, H Wu, F No
Nature communications 9 (1), 1-11, 2018
2702018
Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning
F No, S Olsson, J Khler, H Wu
Science 365 (6457), 2019
2192019
Multiensemble Markov models of molecular thermodynamics and kinetics
H Wu, F Paul, C Wehmeyer, F No
Proceedings of the National Academy of Sciences 113 (23), E3221-E3230, 2016
1572016
Data-driven model reduction and transfer operator approximation
S Klus, F Nske, P Koltai, H Wu, I Kevrekidis, C Schtte, F No
Journal of Nonlinear Science 28 (3), 985-1010, 2018
1552018
Projected and hidden Markov models for calculating kinetics and metastable states of complex molecules
F No, H Wu, JH Prinz, N Plattner
The Journal of chemical physics 139 (18), 11B609_1, 2013
1292013
Variational approach for learning Markov processes from time series data
H Wu, F No
Journal of Nonlinear Science 30 (1), 23-66, 2020
1002020
Protein-peptide association kinetics beyond the seconds timescale from atomistic simulations
F Paul, C Wehmeyer, ET Abualrous, H Wu, MD Crabtree, J Schneberg, ...
Nature communications 8 (1), 1-10, 2017
892017
Estimation and uncertainty of reversible Markov models
B Trendelkamp-Schroer, H Wu, F Paul, F No
The Journal of chemical physics 143 (17), 11B601_1, 2015
892015
Statistically optimal analysis of state-discretized trajectory data from multiple thermodynamic states
H Wu, ASJS Mey, E Rosta, F No
The Journal of chemical physics 141 (21), 12B629_1, 2014
802014
Combining experimental and simulation data of molecular processes via augmented Markov models
S Olsson, H Wu, F Paul, C Clementi, F No
Proceedings of the National Academy of Sciences 114 (31), 8265-8270, 2017
732017
Variational Koopman models: slow collective variables and molecular kinetics from short off-equilibrium simulations
H Wu, F Nske, F Paul, S Klus, P Koltai, F No
The Journal of chemical physics 146 (15), 154104, 2017
732017
xTRAM: Estimating equilibrium expectations from time-correlated simulation data at multiple thermodynamic states
ASJS Mey, H Wu, F No
Physical Review X 4 (4), 041018, 2014
532014
Markov state models from short non-equilibrium simulations—Analysis and correction of estimation bias
F Nske, H Wu, JH Prinz, C Wehmeyer, C Clementi, F No
The Journal of Chemical Physics 146 (9), 094104, 2017
492017
Polysaccharide from Lentinus edodes inhibits the immunosuppressive function of myeloid-derived suppressor cells
H Wu, N Tao, X Liu, X Li, J Tang, C Ma, X Xu, H Shao, B Hou, H Wang, ...
PLoS One 7 (12), e51751, 2012
442012
Deep generative markov state models
H Wu, A Mardt, L Pasquali, F Noe
arXiv preprint arXiv:1805.07601, 2018
342018
Optimal trajectory planning of a flexible dual-arm space robot with vibration reduction
H Wu, F Sun, Z Sun, L Wu
Journal of Intelligent and Robotic Systems 40 (2), 147-163, 2004
322004
Myeloid-derived suppressor cells promote B-cell production of IgA in a TNFR2-dependent manner
X Xu, Q Meng, U Erben, P Wang, R Glauben, AA Khl, H Wu, CW Ma, ...
Cellular & molecular immunology 14 (7), 597-606, 2017
272017
Variational selection of features for molecular kinetics
MK Scherer, BE Husic, M Hoffmann, F Paul, H Wu, F No
The Journal of chemical physics 150 (19), 194108, 2019
262019
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Articles 1–20