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ORCIDHao Wu 0035
Person information
- affiliation: Tongji University, School of Mathematical Sciences, Shanghai, China
- affiliation (2007 - 2018): Free University of Berlin, Department of Mathematics and Computer Science, Berlin, Germany
Other persons with the same name
- Hao Wu — disambiguation page
- Hao Wu 0001 — Google Inc., Mountain View, CA, USA (and 1 more)
- Hao Wu 0002 — The Fields Institute for Reserach in Mathematical Sciences, Toronto, Canada
- Hao Wu 0003
![[0000-0003-1269-7354]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1269-7354")
— Emory University, Biostatistics and Bioinformatics, Atlanta, GA, USA (and 1 more) - Hao Wu 0004 — Central China Normal University, College of Urban and Environmental Sciences, Wuhan, China (and 2 more)
- Hao Wu 0005 — Beijing Jiaotong University, State Key Lab of Rail Traffic Control and Safety, China
- Hao Wu 0006 — PLA University of Science and Technology, College of Communications Engineering, Nanjing, China
- Hao Wu 0007 (aka: Tony Hao Wu) — Shenzhen University, Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen, China (and 1 more)
- Hao Wu 0008 — Network Information Security Institute, CNCERT/CC, Beijing, China (and 1 more)
- Hao Wu 0009 — ZTE Corporation, Department of Wireless Product Research / Development Institute, Shenzhen, China
- Hao Wu 0010 — Yunnan University, School of Information Science and Engineering, Kunming, China (and 1 more)
- Hao Wu 0011 — Fudan University, School of Computer Science, Shanghai, China
- Hao Wu 0012 — TuSimple, San Diego, CA, USA (and 1 more)
- Hao Wu 0013 — RWTH Aachen University, Germany
- Hao Wu 0014 — University of Maryland, College Park, MD, USA
- Hao Wu 0015 — Yunnan University, Department of Computer Science and Engineering, Kunming, China
- Hao Wu 0016 — Fudan University, School of Mathematical Sciences, Shanghai, China
- Hao Wu 0017 — Maynooth University, Department of Computer Science, Ireland
- Hao Wu 0018 — Rubrik Inc., Palo Alto, CA, USA (and 1 more)
- Hao Wu 0019 — Xi'an Jiaotong University, School of Electronic and Information Engineering, China
- Hao Wu 0020 — Northeastern University, Boston, MA, USA
- Hao Wu 0021 — Illinois Institute of Technology, Chicago, IL, USA
- Hao Wu 0022 — Beijing Normal University, College of Information Science and Technology, China (and 2 more)
- Hao Wu 0023 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Hao Wu 0024 — Dalian University of Technology, School of Software Technology, China
- Hao Wu 0025 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Hao Wu 0026 — Broadcom Inc., Irvine, CA, USA (and 1 more)
- Hao Wu 0027 — Hunan University, College of Finance and Statistics, Changsha, China
- Hao Wu 0028 — Huazhong University of Science and Technology, School of Mechanical Science and Engineering, Wuhan, China
- Hao Wu 0029 — Sichuan University of Science and Engineering, Artificial Intelligence Key Laboratory of Sichuan Province, Yibin, China (and 1 more)
- Hao Wu 0030 — Wuhan University of Science and Technology, MOE Key Laboratory of Metallurgical Equipment and Control Technology, China
- Hao Wu 0031 — National University of Defense Technology, College of Electronic Science, Changsha, China
- Hao Wu 0032 — Hubei University, School of Computer and Information Engineering, Research Center of Educational Informatization Engineering and Technology, Wuhan, China
- Hao Wu 0034 — University of Pennsylvania, Philadelphia, PA, USA (and 1 more)
- Hao Wu 0036 — University of Delaware, Department of Electrical and Computer Engineering, Newark, DE, USA
- Hao Wu 0037 — University of Houston, Department of Electrical and Computer Engineering, Hyperspectral Image Analysis Lab, Houston, TX, USA
- Hao Wu 0038 — University of Strathclyde, Glasgow, UK
- Hao Wu 0039 — JiangNan University, Wuxi, China
- Hao Wu 0040 — National University of Defense Technology, State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, China
- Hao Wu 0041 — Google, Mountain View, CA, USA (and 1 more)
- Hao Wu 0042 — University of Science and Technology of China, EEIS Department, CAS Key Laboratory of Wireless Optical Communication, Hefei, China
- Hao Wu 0043 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
- Hao Wu 0044 — Tianjin University of Science and Technology, College of Mechanical Engineering, Tianjin, China
- Hao Wu 0045 — Sichuan University, College of Mathematics, Chengdu, China
- Hao Wu 0046 — Wuhan University, School of Urban Design, Department of Graphics and Digital Technology, Wuhan, China
- Hao Wu 0047 — University of Alabama, Department of Geological Sciences, Tuscaloosa, AL, USA
- Hao Wu 0048 — Southwest Jiaotong University, State Key Laboratory of Traction Power, Chengdu, China
- Hao Wu 0049 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Hao Wu 0050 — Central South University, School of Resources and Safety Engineering, Changsha, China
- Hao Wu 0051 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
- Hao Wu 0052 — University of Jinan, School of Materials Science and Engineering, Jinan, China
- Hao Wu 0053 — Tongji University, School of Automotive Studies, Shanghai, China
- Hao Wu 0054 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing, China
- Hao Wu 0055 — Vanderbilt University, Department of Psychology and Human Development, Nashville, TN, USA (and 2 more)
- Hao Wu 0056 — University of Aberdeen, Scotland, UK
- Hao Wu 0057 — School of Computing and Information Systems, The University of Melbourne, Australia
- Hao Wu 0058 — University of Warwick, Department of Computer Science, Coventry, UK
- Hao Wu 0059 — Tokyo Institute of Technology, Japan
- Hao Wu 0060 — Tsinghua University, Department of Mathematical Sciences, Beijing, China
- Hao Wu 0061 — Southwest University, College of Computer and Information Science, Chongqing, China (and 2 more)
- Hao Wu 0062 — Shandong University, School of Software, Jinan, China (and 1 more)
- Hao Wu 0063 — Tianjin University, School of Civil Engineering, Tianjin, China
- Hao Wu 0064 — Macquarie University, Faculty of Computer Science, NSW, Australia (and 1 more)
- Hao Wu 0065 — Shandong University, School of Control Science and Engineering, Jinan, China
- Hao Wu 0066 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- Hao Wu 0067 — Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
- Hao Wu 0068 — Case Western Reserve University, Cleveland, OH, USA
- Hao Wu 0069 — TuSimple, San Diego, CA, USA
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Journal Articles
- 2022
[j9]Ling Guo, Hao Wu, Tao Zhou:
Normalizing field flows: Solving forward and inverse stochastic differential equations using physics-informed flow models. J. Comput. Phys. 461: 111202 (2022)- [j8]Moritz Hoffmann, Martin Scherer, Tim Hempel, Andreas Mardt, Brian de Silva, Brooke E. Husic, Stefan Klus, Hao Wu, J. Nathan Kutz, Steven L. Brunton, Frank Noé:
Deeptime: a Python library for machine learning dynamical models from time series data. Mach. Learn. Sci. Technol. 3(1): 15009 (2022) - 2021
- [j7]Wenchong Tian, Hao Wu:
Kernel Embedding Based Variational Approach for Low-Dimensional Approximation of Dynamical Systems. Comput. Methods Appl. Math. 21(3): 635-659 (2021) - 2020
- [j6]Hao Wu, Frank Noé:
Variational Approach for Learning Markov Processes from Time Series Data. J. Nonlinear Sci. 30(1): 23-66 (2020) - 2018
- [j5]Péter Koltai, Hao Wu, Frank Noé, Christof Schütte:
Optimal Data-Driven Estimation of Generalized Markov State Models for Non-Equilibrium Dynamics. Comput. 6(1): 22 (2018) - [j4]Stefan Klus, Feliks Nüske, Péter Koltai, Hao Wu, Ioannis G. Kevrekidis, Christof Schütte, Frank Noé:
Data-Driven Model Reduction and Transfer Operator Approximation. J. Nonlinear Sci. 28(3): 985-1010 (2018) - 2015
- [j3]Hao Wu:
Maximum margin clustering for state decomposition of metastable systems. Neurocomputing 164: 5-22 (2015) - 2014
- [j2]Hao Wu, Frank Noé:
Optimal Estimation of Free Energies and Stationary Densities from Multiple Biased Simulations. Multiscale Model. Simul. 12(1): 25-54 (2014) - 2010
- [j1]Hao Wu, Frank Noé:
Probability Distance Based Compression of Hidden Markov Models. Multiscale Model. Simul. 8(5): 1838-1861 (2010)
Conference and Workshop Papers
- 2020
- [c8]Andreas Mardt, Luca Pasquali, Frank Noé, Hao Wu:
Deep learning Markov and Koopman models with physical constraints. MSML 2020: 451-475 - [c7]Hao Wu, Jonas Köhler, Frank Noé:
Stochastic Normalizing Flows. NeurIPS 2020 - 2018
- [c6]Hao Wu, Andreas Mardt, Luca Pasquali, Frank Noé:
Deep Generative Markov State Models. NeurIPS 2018: 3979-3988 - 2016
- [c5]Hao Wu, Frank Noé:
Spectral Learning of Dynamic Systems from Nonequilibrium Data. NIPS 2016: 4179-4187 - 2013
- [c4]Hao Wu:
Maximum Margin Clustering for State Decomposition of Metastable Systems. IWANN (1) 2013: 556-565 - 2011
- [c3]Bin Xu, Fuchun Sun, Shixing Wang, Hao Wu:
Adaptive hypersonic flight control via back-stepping and Kriging estimation. SMC 2011: 1603-1608 - [c2]Hao Wu, Frank Noé:
A flat Dirichlet process switching model for Bayesian estimation of hybrid systems. ICCS 2011: 1393-1402 - 2010
- [c1]Hao Wu, Frank Noé:
Maximum a posteriori estimation for Markov chains based on Gaussian Markov random fields. ICCS 2010: 1665-1673
Informal and Other Publications
- 2023
- [i7]Hao Wu, Frank Noé:
Reaction coordinate flows for model reduction of molecular kinetics. CoRR abs/2309.05878 (2023) - 2021
- [i6]Moritz Hoffmann, Martin Scherer, Tim Hempel, Andreas Mardt, Brian de Silva, Brooke E. Husic, Stefan Klus, Hao Wu, J. Nathan Kutz, Steven L. Brunton, Frank Noé:
Deeptime: a Python library for machine learning dynamical models from time series data. CoRR abs/2110.15013 (2021) - 2020
- [i5]Hao Wu, Jonas Köhler, Frank Noé:
Stochastic Normalizing Flows. CoRR abs/2002.06707 (2020) - 2018
- [i4]Hao Wu, Andreas Mardt, Luca Pasquali, Frank Noé:
Deep Generative Markov State Models. CoRR abs/1805.07601 (2018) - [i3]Frank Noé, Hao Wu:
Boltzmann Generators - Sampling Equilibrium States of Many-Body Systems with Deep Learning. CoRR abs/1812.01729 (2018) - 2016
- [i2]Hao Wu, Frank Noé:
Spectral learning of dynamic systems from nonequilibrium data. CoRR abs/1609.00932 (2016) - 2015
- [i1]Hao Wu:
Maximum Margin Clustering for State Decomposition of Metastable Systems. CoRR abs/1501.00125 (2015)
Coauthor Index
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