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ORCIDHao Sun 0002
Person information
- affiliation: Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China
- affiliation: Northeastern University, Department of Civil and Environmental Engineering, Lab for Infrastructure Sensing and Data Science, Boston, MA, USA
- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
- affiliation (PhD 2014): Columbia University, New York, NY, USA
Other persons with the same name
- Hao Sun — disambiguation page
- Hao Sun 0001
![[0000-0002-5547-9501]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5547-9501")
— The Chinese University of Hong Kong (and 1 more) - Hao Sun 0003 — China University of Mining and Technology, College of Geoscience and Surveying Engineering, Beijing, China (and 1 more)
- Hao Sun 0004 — National University of Defense Technology, College of Computer, Changsha, China
- Hao Sun 0005 — Hebei University of Technology, School of Control Science and Engineering, Tianjin, China
- Hao Sun 0006 — University of Rostock, Chair of Mechatronics, Germany
- Hao Sun 0007 — Chongqing University, Department of Communication Engineering, China
- Hao Sun 0008 — Hefei University of Technology, School of Mechanical Engineering, China (and 1 more)
- Hao Sun 0009 — Chinese Academy of Sciences, Institute of Electronics, Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Beijing, China
- Hao Sun 0010 — Huazhong University of Science and Technology, School of Management, Wuhan, China (and 1 more)
- Hao Sun 0011 — Northwestern Polytechnical University, Xi'an, Shaanxi, China
- Hao Sun 0012 — Tsinghua University, China
- Hao Sun 0013 — Zhejiang University, School of Software Technology, Hangzhou, China
- Hao Sun 0014 — Central China Normal University, School of Computer, Wuhan, China
- Hao Sun 0015 — Peking University, Beijing, China (and 2 more)
- Hao Sun 0016 — Yanshan University, School of Electrical Engineering, Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Qinhuangdao, China
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2020 – today
- 2023
[j5]Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun:
PhySR: Physics-informed deep super-resolution for spatiotemporal data. J. Comput. Phys. 492: 112438 (2023)- [j4]Chengping Rao, Pu Ren, Qi Wang, Oral Buyukozturk, Hao Sun, Yang Liu:
Encoding physics to learn reaction-diffusion processes. Nat. Mac. Intell. 5(7): 765-779 (2023) - [c4]Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun:
Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search. ICLR 2023 - 2022
- [j3]Zhao Chen, Yang Liu, Hao Sun:
Forecasting of nonlinear dynamics based on symbolic invariance. Comput. Phys. Commun. 277: 108382 (2022) - [c3]Chengping Rao, Pu Ren, Yang Liu, Hao Sun:
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning. ICLR 2022 - [c2]Lele Luan, Yang Liu, Hao Sun:
Distilling Governing Laws and Source Input for Dynamical Systems from Videos. IJCAI 2022: 3898-3904 - [i22]Chengping Rao, Pu Ren, Yang Liu, Hao Sun:
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning. CoRR abs/2201.12354 (2022) - [i21]Lele Luan, Yang Liu, Hao Sun:
Distilling Governing Laws and Source Input for Dynamical Systems from Videos. CoRR abs/2205.01314 (2022) - [i20]Xin-Yang Liu, Hao Sun, Jian-Xun Wang:
Predicting parametric spatiotemporal dynamics by multi-resolution PDE structure-preserved deep learning. CoRR abs/2205.03990 (2022) - [i19]Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun:
Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search. CoRR abs/2205.13134 (2022) - [i18]Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun:
Physics-informed Deep Super-resolution for Spatiotemporal Data. CoRR abs/2208.01462 (2022) - [i17]Haoyu Lu, Qiongyi Zhou, Nanyi Fei, Zhiwu Lu, Mingyu Ding, Jingyuan Wen, Changde Du, Xin Zhao, Hao Sun, Huiguang He, Ji-Rong Wen:
Multimodal foundation models are better simulators of the human brain. CoRR abs/2208.08263 (2022) - [i16]Bing Su, Dazhao Du, Zhao Yang, Yujie Zhou, Jiangmeng Li, Anyi Rao, Hao Sun, Zhiwu Lu, Ji-Rong Wen:
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language. CoRR abs/2209.05481 (2022) - [i15]Pu Ren, Chengping Rao, Su Chen, Jian-sun Wang, Hao Sun, Yang Liu:
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain. CoRR abs/2210.14044 (2022) - 2021
- [c1]Fangzheng Sun, Yang Liu, Hao Sun:
Physics-informed Spline Learning for Nonlinear Dynamics Discovery. IJCAI 2021: 2054-2061 - [i14]Chengping Rao, Hao Sun, Yang Liu:
Hard Encoding of Physics for Learning Spatiotemporal Dynamics. CoRR abs/2105.00557 (2021) - [i13]Fangzheng Sun, Yang Liu, Hao Sun:
Physics-informed Spline Learning for Nonlinear Dynamics Discovery. CoRR abs/2105.02368 (2021) - [i12]Lele Luan, Yang Liu, Hao Sun:
Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos. CoRR abs/2106.04776 (2021) - [i11]Chengping Rao, Hao Sun, Yang Liu:
Embedding Physics to Learn Spatiotemporal Dynamics from Sparse Data. CoRR abs/2106.04781 (2021) - [i10]Pu Ren, Chengping Rao, Yang Liu, Jian-Xun Wang, Hao Sun:
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs. CoRR abs/2106.14103 (2021) - [i9]Nanyi Fei, Zhiwu Lu, Yizhao Gao, Guoxing Yang, Yuqi Huo, Jingyuan Wen, Haoyu Lu, Ruihua Song, Xin Gao, Tao Xiang, Hao Sun, Ji-Rong Wen:
WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model. CoRR abs/2110.14378 (2021) - 2020
- [i8]Ruiyang Zhang, Yang Liu, Hao Sun:
Physics-Informed Multi-LSTM Networks for Metamodeling of Nonlinear Structures. CoRR abs/2002.10253 (2020) - [i7]Chengping Rao, Hao Sun, Yang Liu:
Physics-informed deep learning for incompressible laminar flows. CoRR abs/2002.10558 (2020) - [i6]Zhao Chen, Yang Liu, Hao Sun:
Deep learning of physical laws from scarce data. CoRR abs/2005.03448 (2020) - [i5]Zhao Chen, Hao Sun:
Sparse representation for damage identification of structural systems. CoRR abs/2006.03929 (2020) - [i4]Chengping Rao, Hao Sun, Yang Liu:
Physics informed deep learning for computational elastodynamics without labeled data. CoRR abs/2006.08472 (2020) - [i3]Pu Ren, Xinyu Chen, Lijun Sun, Hao Sun:
Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting. CoRR abs/2007.00790 (2020) - [i2]Lele Luan, Jingwei Zheng, Yongchao Yang, Ming L. Wang, Hao Sun:
Extracting full-field subpixel structural displacements from videos via deep learning. CoRR abs/2008.13715 (2020)
2010 – 2019
- 2019
- [i1]Ruiyang Zhang, Yang Liu, Hao Sun:
Physics-guided Convolutional Neural Network (PhyCNN) for Data-driven Seismic Response Modeling. CoRR abs/1909.08118 (2019) - 2015
- [j2]Hao Sun, Raimondo Betti:
A Hybrid Optimization Algorithm with Bayesian Inference for Probabilistic Model Updating. Comput. Aided Civ. Infrastructure Eng. 30(8): 602-619 (2015) - [j1]Hao Sun, Dongming Feng, Yang Liu, Maria Q. Feng:
Statistical Regularization for Identification of Structural Parameters and External Loadings Using State Space Models. Comput. Aided Civ. Infrastructure Eng. 30(11): 843-858 (2015)
Coauthor Index
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