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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 — Microsoft AI, 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
- Hao Sun 0017 — University of Cambridge, DAMTP, Department of Applied Mathematics and Theoretical Physics, UK
- Hao Sun 0018 — Nankai University, College of Artificial Intelligence, Tianjin, China
- Hao Sun 0019 — Beijing University of Posts and Telecommunications, China
- Hao Sun 0020 — Yongjiang Laboratory (Y-LAB), Ningbo, China (and 1 more)
- Hao Sun 0021 — ETH Zurich, Advanced Software Technologies (AST) Lab, Zurich, Switzerland
- Hao Sun 0022 — University of Houston, TX, USA (and 1 more)
- Hao Sun 0023 — National University of Defense Technology, College of Computer, Changsha, China
- Hao Sun 0024 — University of Missouri, Department of Electrical Engineering and Computer Science, Columbia, MO, USA
- Hao Sun 0025 — Southern Medical University, School of Biomedical Engineering, Guangzhou, China
- Hao Sun 0026 — Qingdao University, School of Business, China
- Hao Sun 0027 — Zhejiang Gongshang University, School of Information and Electronic Engineering, Hangzhou, China
- Hao Sun 0028 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Hao Sun 0029 — University College London, University College London, UK
- Hao Sun 0030 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China (and 1 more)
- Hao Sun 0031 — Nanjing University of Aeronautics and Astronautics, College of Astronautics, China
- Hao Sun 0032 — Wuhan University of Technology, School of Information Engineering, China
- Hao Sun 0033 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Hao Sun 0034 — Xi'an Jiaotong University, State Key Laboratory of Electrical Insulation and Power Equipment, China
- Hao Sun 0035 — ShanghaiTech University, School of Information Science and Technology, China (and 2 more)
- Hao Sun 0036 — Beijing Advanced Medical Technologies, Ltd. Inc., China (and 2 more)
- Hao Sun 0037 — Anhui University of Technology, School of Civil Engineering and Architecture, Maanshan, China (and 2 more)
- Hao Sun 0038 — China Telecom, Beijing, China
- Hao Sun 0039 — Beijing University of Technology, Department of Biomedical Engineering, China
- Hao Sun 0040 — University of Science and Technology Beijing, School of Resources and Safety Engineering, China
- Hao Sun 0041 — Chinese University of Hong Kong, School of Science and Engineering, Future Network of Intelligence Institute, Shenzhen, China
- Hao Sun 0042 — National University of Defense Technology, College of Electronic Science and Technology, Changsha, China
- Hao Sun 0043 — Xidian University, School of Optoelectronic Engineering, Xi'an, China
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2020 – today
- 2025
[j9]Pu Ren, Jialin Song, Chengping Rao, Qi Wang, Yike Guo, Hao Sun, Yang Liu:
Learning spatiotemporal dynamics from sparse data via a high-order physics-encoded network. Comput. Phys. Commun. 312: 109582 (2025)- [j8]Lei Wang, Jingsen Zhang, Hao Yang, Zhiyuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Hao Sun, Ruihua Song, Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, Ji-Rong Wen:
User Behavior Simulation with Large Language Model-based Agents. ACM Trans. Inf. Syst. 43(2): 55:1-55:37 (2025) - [c13]Xiaochuan Liu, Xin Cheng, Yuchong Sun, Xiaoxue Wu, Ruihua Song, Hao Sun, Denghao Zhang:
EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics. AAAI 2025: 1429-1437 - [c12]Jian Li, Pu Ren, Yang Liu, Hao Sun:
Reasoning-Enhanced Object-Centric Learning for Videos. KDD (1) 2025: 659-670 - [c11]Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu:
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction. KDD (1) 2025: 1056-1067 - [c10]Jian Li, Han Wan, Ning Lin, Yu-Liang Zhan, Ruizhi Chengze, Haining Wang, Yi Zhang, Hongsheng Liu, Zidong Wang, Fan Yu, Hao Sun:
SlotPi: Physics-informed Object-centric Reasoning Models. KDD (2) 2025: 1376-1387 - [i43]Qi Wang, Yuan Mi, Haoyun Wang, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Ji-Rong Wen, Hao Sun:
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation. CoRR abs/2501.15987 (2025) - [i42]Xiaochuan Liu, Xin Cheng, Yuchong Sun, Xiaoxue Wu, Ruihua Song, Hao Sun, Denghao Zhang:
EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics. CoRR abs/2502.20858 (2025) - [i41]Liming Wu, Wen-bing Huang, Rui Jiao, Jianxing Huang, Liwei Liu, Yipeng Zhou, Hao Sun, Yang Liu, Fuchun Sun, Yuxiang Ren, Jirong Wen:
Siamese Foundation Models for Crystal Structure Prediction. CoRR abs/2503.10471 (2025) - [i40]Luxi Chen, Zihan Zhou, Min Zhao, Yikai Wang, Ge Zhang, Wenhao Huang, Hao Sun, Ji-Rong Wen, Chongxuan Li:
FlexWorld: Progressively Expanding 3D Scenes for Flexiable-View Synthesis. CoRR abs/2503.13265 (2025) - [i39]Kai Ruan, Mowen Huang, Ji-Rong Wen, Hao Sun:
Benchmarking LLMs' Swarm intelligence. CoRR abs/2505.04364 (2025) - [i38]Xiao-Qi Han, Peng-Jie Guo, Ze-Feng Gao, Hao Sun, Zhong-Yi Lu:
InvDesFlow-AL: Active Learning-based Workflow for Inverse Design of Functional Materials. CoRR abs/2505.09203 (2025) - [i37]Jian Li, Han Wan, Ning Lin, Yu-Liang Zhan, Ruizhi Chengze, Haining Wang, Yi Zhang, Hongsheng Liu, Zidong Wang, Fan Yu, Hao Sun:
SlotPi: Physics-informed Object-centric Reasoning Models. CoRR abs/2506.10778 (2025) - [i36]Mengtao Yan, Qi Wang, Haining Wang, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Fan Yu, Qi Qi, Hao Sun:
Learnable-Differentiable Finite Volume Solver for Accelerated Simulation of Flows. CoRR abs/2507.01975 (2025) - 2024
- [j7]Pu Ren, Chengping Rao, Su Chen, Jian-Xun Wang, Hao Sun, Yang Liu:
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain. Comput. Phys. Commun. 295: 109010 (2024) - [j6]Zeyu Li, Wang Han, Yue Zhang, Qingfei Fu, Jingxuan Li, Lizi Qin, Ruoyu Dong, Hao Sun, Yue Deng, Lijun Yang:
Learning spatiotemporal dynamics with a pretrained generative model. Nat. Mac. Intell. 6(12): 1566-1579 (2024) - [c9]Yilong Xu, Yang Liu, Hao Sun:
Reinforcement Symbolic Regression Machine. ICLR 2024 - [c8]Zitong Zhang, Yang Liu, Hao Sun:
Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target. IJCAI 2024: 6170-6178 - [c7]Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Zeruizhi Cheng, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu:
P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. NeurIPS 2024 - [c6]Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun, Ze-Feng Gao:
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation. NeurIPS 2024 - [i35]Jian Li, Pu Ren, Yang Liu, Hao Sun:
Reasoning-Enhanced Object-Centric Learning for Videos. CoRR abs/2403.15245 (2024) - [i34]Zitong Zhang, Yang Liu, Hao Sun:
Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target. CoRR abs/2404.17865 (2024) - [i33]Kai Ruan, Ze-Feng Gao, Yike Guo, Hao Sun, Ji-Rong Wen, Yang Liu:
Discovering symbolic expressions with parallelized tree search. CoRR abs/2407.04405 (2024) - [i32]Xiao-Qi Han, Zhenfeng Ouyang, Peng-Jie Guo, Hao Sun, Ze-Feng Gao, Zhong-Yi Lu:
AI-accelerated discovery of high critical temperature superconductors. CoRR abs/2409.08065 (2024) - [i31]Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Hao Sun:
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems. CoRR abs/2410.01337 (2024) - [i30]Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu:
P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. CoRR abs/2411.00040 (2024) - [i29]Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun, Ze-Feng Gao:
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation. CoRR abs/2411.06448 (2024) - [i28]Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu:
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction. CoRR abs/2412.20962 (2024) - 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) - [c5]Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun:
Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search. ICLR 2023 - [i27]Pu Ren, Chengping Rao, Hao Sun, Yang Liu:
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain. CoRR abs/2305.05150 (2023) - [i26]Yilong Xu, Yang Liu, Hao Sun:
RSRM: Reinforcement Symbolic Regression Machine. CoRR abs/2305.14656 (2023) - [i25]Wei Wang, Yang Liu, Hao Sun:
TLNets: Transformation Learning Networks for long-range time-series prediction. CoRR abs/2305.15770 (2023) - [i24]Ze-Feng Gao, Shuai Qu, Bocheng Zeng, Yang Liu, Ji-Rong Wen, Hao Sun, Peng-Jie Guo, Zhong-Yi Lu:
AI-accelerated Discovery of Altermagnetic Materials. CoRR abs/2311.04418 (2023) - 2022
- [j3]Zhao Chen, Yang Liu, Hao Sun:
Forecasting of nonlinear dynamics based on symbolic invariance. Comput. Phys. Commun. 277: 108382 (2022) - [c4]Chengping Rao, Pu Ren, Yang Liu, Hao Sun:
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning. ICLR 2022 - [c3]Lele Luan, Yang Liu, Hao Sun:
Distilling Governing Laws and Source Input for Dynamical Systems from Videos. IJCAI 2022: 3898-3904 - [c2]Luning Sun, Daniel Huang, Hao Sun, Jian-Xun Wang:
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty. NeurIPS 2022 - [i23]Chengping Rao, Pu Ren, Yang Liu, Hao Sun:
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning. CoRR abs/2201.12354 (2022) - [i22]Lele Luan, Yang Liu, Hao Sun:
Distilling Governing Laws and Source Input for Dynamical Systems from Videos. CoRR abs/2205.01314 (2022) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]Luning Sun, Daniel Zhengyu Huang, Hao Sun, Jian-Xun Wang:
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty. CoRR abs/2210.08095 (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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