A Hybrid Optimization Algorithm with Bayesian Inference for Probabilistic Model Updating. - Hao Sun 002; Raimondo Betti (Comput. Aided Civ. Infrastructure Eng., 2015)

Statistical Regularization for Identification of Structural Parameters and External Loadings Using State Space Models. - Hao Sun 002; Dongming Feng; Yang Liu 130; Maria Q. Feng (Comput. Aided Civ. Infrastructure Eng., 2015)

Physics-guided Convolutional Neural Network (PhyCNN) for Data-driven Seismic Response Modeling. - Ruiyang Zhang; Yang Liu 130; Hao Sun 002 (CoRR, 2019)

Physics-Informed Multi-LSTM Networks for Metamodeling of Nonlinear Structures. - Ruiyang Zhang; Yang Liu 130; Hao Sun 002 (CoRR, 2020)

Physics-informed deep learning for incompressible laminar flows. - Chengping Rao; Hao Sun 002; Yang Liu 130 (CoRR, 2020)

Deep learning of physical laws from scarce data. - Zhao Chen; Yang Liu 130; Hao Sun 002 (CoRR, 2020)

Sparse representation for damage identification of structural systems. - Zhao Chen; Hao Sun 002 (CoRR, 2020)

Physics informed deep learning for computational elastodynamics without labeled data. - Chengping Rao; Hao Sun 002; Yang Liu 130 (CoRR, 2020)

Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting. - Pu Ren; Xinyu Chen 002; Lijun Sun 001; Hao Sun 002 (CoRR, 2020)

Extracting full-field subpixel structural displacements from videos via deep learning. - Lele Luan; Jingwei Zheng; Yongchao Yang; Ming L. Wang; Hao Sun 002 (CoRR, 2020)

Physics-informed Spline Learning for Nonlinear Dynamics Discovery. - Fangzheng Sun; Yang Liu 130; Hao Sun 002 (IJCAI, 2021)

Hard Encoding of Physics for Learning Spatiotemporal Dynamics. - Chengping Rao; Hao Sun 002; Yang Liu 130 (CoRR, 2021)

Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos. - Lele Luan; Yang Liu 130; Hao Sun 002 (CoRR, 2021)

Embedding Physics to Learn Spatiotemporal Dynamics from Sparse Data. - Chengping Rao; Hao Sun 002; Yang Liu 130 (CoRR, 2021)

PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs. - Pu Ren; Chengping Rao; Yang Liu 130; Jian-Xun Wang 001; Hao Sun 002 (CoRR, 2021)

WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model. - Nanyi Fei; Zhiwu Lu 001; Yizhao Gao 004; Guoxing Yang; Yuqi Huo; Jingyuan Wen; Haoyu Lu; Ruihua Song; Xin Gao 001; Tao Xiang 002; Hao Sun 002; Ji-Rong Wen (CoRR, 2021)

Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning. - Chengping Rao; Pu Ren; Yang Liu 130; Hao Sun 002 (ICLR, 2022)

Distilling Governing Laws and Source Input for Dynamical Systems from Videos. - Lele Luan; Yang Liu 130; Hao Sun 002 (IJCAI, 2022)

Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty. - Luning Sun; Daniel Huang 005; Hao Sun 002; Jian-Xun Wang 001 (NeurIPS, 2022)

Predicting parametric spatiotemporal dynamics by multi-resolution PDE structure-preserved deep learning. - Xin-Yang Liu; Hao Sun 002; Jian-Xun Wang 001 (CoRR, 2022)

Physics-informed Deep Super-resolution for Spatiotemporal Data. - Pu Ren; Chengping Rao; Yang Liu 130; Zihan Ma 002; Qi Wang; Jian-Xun Wang 001; Hao Sun 002 (CoRR, 2022)

Multimodal foundation models are better simulators of the human brain. - Haoyu Lu; Qiongyi Zhou; Nanyi Fei; Zhiwu Lu 001; Mingyu Ding; Jingyuan Wen; Changde Du; Xin Zhao 018; Hao Sun 002; Huiguang He; Ji-Rong Wen (CoRR, 2022)

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language. - Bing Su 001; Dazhao Du; Zhao Yang 006; Yujie Zhou; Jiangmeng Li; Anyi Rao; Hao Sun 002; Zhiwu Lu 001; Ji-Rong Wen (CoRR, 2022)

SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain. - Pu Ren; Chengping Rao; Su Chen; Jian-sun Wang; Hao Sun 002; Yang Liu 130 (CoRR, 2022)

Forecasting of nonlinear dynamics based on symbolic invariance. - Zhao Chen; Yang Liu 130; Hao Sun 002 (Comput. Phys. Commun., 2022)

Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search. - Fangzheng Sun; Yang Liu 130; Jian-Xun Wang 001; Hao Sun 002 (ICLR, 2023)

Physics-informed neural network for seismic wave inversion in layered semi-infinite domain. - Pu Ren; Chengping Rao; Hao Sun 002; Yang Liu (CoRR, 2023)

RSRM: Reinforcement Symbolic Regression Machine. - Yilong Xu; Yang Liu; Hao Sun 002 (CoRR, 2023)

TLNets: Transformation Learning Networks for long-range time-series prediction. - Wei Wang; Yang Liu; Hao Sun 002 (CoRR, 2023)

AI-accelerated Discovery of Altermagnetic Materials. - Ze-Feng Gao; Shuai Qu; Bocheng Zeng; Yang Liu 005; Ji-Rong Wen; Hao Sun 002; Peng-Jie Guo; Zhong-Yi Lu (CoRR, 2023)

Encoding physics to learn reaction-diffusion processes. - Chengping Rao; Pu Ren; Qi Wang; Oral Buyukozturk; Hao Sun 002; Yang Liu 130 (Nat. Mac. Intell., 2023)

PhySR: Physics-informed deep super-resolution for spatiotemporal data. - Pu Ren; Chengping Rao; Yang Liu 130; Zihan Ma 002; Qi Wang; Jian-Xun Wang 001; Hao Sun 002 (J. Comput. Phys., 2023)

Reinforcement Symbolic Regression Machine. - Yilong Xu; Yang Liu; Hao Sun 002 (ICLR, 2024)

Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target. - Zitong Zhang; Yang Liu; Hao Sun 002 (IJCAI, 2024)

P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. - Qi Wang; Pu Ren; Hao Zhou; Xin-Yang Liu; Zhiwen Deng; Yi Zhang; Zeruizhi Cheng; Hongsheng Liu 002; Zidong Wang 010; Jian-Xun Wang 001; Ji-Rong Wen; Hao Sun 002; et al. (NeurIPS, 2024)

Reasoning-Enhanced Object-Centric Learning for Videos. - Jian Li; Pu Ren; Yang Liu; Hao Sun 002 (CoRR, 2024)

Discovering symbolic expressions with parallelized tree search. - Kai Ruan; Ze-Feng Gao; Yike Guo; Hao Sun 002; Ji-Rong Wen; Yang Liu 005 (CoRR, 2024)

PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems. - Bocheng Zeng; Qi Wang; Mengtao Yan; Yang Liu 099; Ruizhi Chengze; Yi Zhang; Hongsheng Liu 002; Zidong Wang 010; Hao Sun 002 (CoRR, 2024)

P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. - Qi Wang; Pu Ren; Hao Zhou; Xin-Yang Liu; Zhiwen Deng; Yi Zhang; Ruizhi Chengze; Hongsheng Liu 002; Zidong Wang 010; Jian-Xun Wang 001; Ji-Rong Wen; Hao Sun 002; et al. (CoRR, 2024)

SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain. - Pu Ren; Chengping Rao; Su Chen; Jian-Xun Wang 001; Hao Sun 002; Yang Liu 130 (Comput. Phys. Commun., 2024)

Learning spatiotemporal dynamics with a pretrained generative model. - Zeyu Li; Wang Han; Yue Zhang; Qingfei Fu; Jingxuan Li; Lizi Qin; Ruoyu Dong; Hao Sun 002; Yue Deng 001; Lijun Yang (Nat. Mac. Intell., 2024)

EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics. - Xiaochuan Liu; Xin Cheng 008; Yuchong Sun; Xiaoxue Wu; Ruihua Song; Hao Sun 002; Denghao Zhang (AAAI, 2025)

Reasoning-Enhanced Object-Centric Learning for Videos. - Jian Li; Pu Ren; Yang Liu 130; Hao Sun 002 (KDD (1), 2025)

Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction. - Yuan Mi; Pu Ren; Hongteng Xu; Hongsheng Liu 002; Zidong Wang 010; Yike Guo; Ji-Rong Wen; Hao Sun 002; Yang Liu 005 (KDD (1), 2025)

Learning spatiotemporal dynamics from sparse data via a high-order physics-encoded network. - Pu Ren; Jialin Song; Chengping Rao; Qi Wang; Yike Guo; Hao Sun 002; Yang Liu 005 (Comput. Phys. Commun., 2025)

MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation. - Qi Wang; Yuan Mi; Haoyun Wang; Yi Zhang; Ruizhi Chengze; Hongsheng Liu 002; Ji-Rong Wen; Hao Sun 002 (CoRR, 2025)

Siamese Foundation Models for Crystal Structure Prediction. - Liming Wu; Wen-bing Huang 001; Rui Jiao; Jianxing Huang; Liwei Liu; Yipeng Zhou; Hao Sun 002; Yang Liu 005; Fuchun Sun 001; Yuxiang Ren; Jirong Wen (CoRR, 2025)

FlexWorld: Progressively Expanding 3D Scenes for Flexiable-View Synthesis. - Luxi Chen; Zihan Zhou; Min Zhao; Yikai Wang; Ge Zhang 009; Wenhao Huang 001; Hao Sun 002; Ji-Rong Wen; Chongxuan Li (CoRR, 2025)

User Behavior Simulation with Large Language Model-based Agents. - Lei Wang 198; Jingsen Zhang; Hao Yang 045; Zhiyuan Chen; Jiakai Tang; Zeyu Zhang 007; Xu Chen 017; Yankai Lin; Hao Sun 002; Ruihua Song; Xin Zhao 018; Jun Xu 001; et al. (ACM Trans. Inf. Syst., 2025)

Benchmarking LLMs' Swarm intelligence. - Kai Ruan; Mowen Huang; Ji-Rong Wen; Hao Sun 002 (CoRR, 2025)

Learnable-Differentiable Finite Volume Solver for Accelerated Simulation of Flows. - Mengtao Yan; Qi Wang; Haining Wang; Ruizhi Chengze; Yi Zhang; Hongsheng Liu 002; Zidong Wang 010; Fan Yu; Qi Qi; Hao Sun 002 (CoRR, 2025)