Hao Sun

CoRR, January, 2026

Spatiotemporal Graph Learning with Direct Volumetric Information Passing and Feature Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Differentiable Sparse Identification of Lagrangian Dynamics.

[BibT_eX]

[DOI]

Zitong Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Nowcast3D: Reliable precipitation nowcasting via gray-box learning.

[BibT_eX]

[DOI]

CoRR, November, 2025

Leveraging LLM-based agents for social science research: insights from citation network simulations.

[BibT_eX]

[DOI]

CoRR, November, 2025

Liveideabench-v2 Dataset (Dataset of Paper LiveIdeaBench: Evaluating LLMs' Scientific Creativity and Idea Generation with Minimal Context).

[BibT_eX]

[DOI]

Dataset, November, 2025

LiveIdeaBench: Evaluating LLMs' Scientific Creativity and Idea Generation with Minimal Context.

[BibT_eX]

[DOI]

Dataset, November, 2025

Discovering physical laws with parallel symbolic enumeration.

[BibT_eX]

[DOI]

Dataset, October, 2025

OmniFluids: Unified Physics Pre-trained Modeling of Fluid Dynamics.

[BibT_eX]

[DOI]

CoRR, June, 2025

InvDesFlow-AL: Active Learning-based Workflow for Inverse Design of Functional Materials.

[BibT_eX]

[DOI]

CoRR, May, 2025

Benchmarking LLMs' Swarm intelligence.

[BibT_eX]

[DOI]

CoRR, May, 2025

User Behavior Simulation with Large Language Model-based Agents.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., March, 2025

FlexWorld: Progressively Expanding 3D Scenes for Flexiable-View Synthesis.

[BibT_eX]

[DOI]

CoRR, March, 2025

Siamese Foundation Models for Crystal Structure Prediction.

[BibT_eX]

[DOI]

CoRR, March, 2025

PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Spatiotemporal Prediction.

[BibT_eX]

[DOI]

CoRR, March, 2025

Learning spatiotemporal dynamics from sparse data via a high-order physics-encoded network.

[BibT_eX]

[DOI]

Comput. Phys. Commun., 2025

Learnable-Differentiable Finite Volume Solver for Accelerated Simulation of Flows.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

SlotPi: Physics-informed Object-centric Reasoning Models.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Reasoning-Enhanced Object-Centric Learning for Videos.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows.

[BibT_eX]

[DOI]

Huaguan Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Comparative Study of Waitlist Mechanisms: Deferral Versus Pay-Per-Offer.

[BibT_eX]

[DOI]

Proceedings of the Frontiers of Algorithmics - 19th International Joint Conference, 2025

EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learning spatiotemporal dynamics with a pretrained generative model.

[BibT_eX]

[DOI]

Nat. Mac. Intell., 2024

SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain.

[BibT_eX]

[DOI]

Comput. Phys. Commun., 2024

P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics.

[BibT_eX]

[DOI]

CoRR, 2024

PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems.

[BibT_eX]

[DOI]

CoRR, 2024

AI-accelerated discovery of high critical temperature superconductors.

[BibT_eX]

[DOI]

CoRR, 2024

Discovering symbolic expressions with parallelized tree search.

[BibT_eX]

[DOI]

CoRR, 2024

Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target.

[BibT_eX]

[DOI]

Zitong Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Reinforcement Symbolic Regression Machine.

[BibT_eX]

[DOI]

Yilong Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

PhySR: Physics-informed deep super-resolution for spatiotemporal data.

[BibT_eX]

[DOI]

J. Comput. Phys., November, 2023

Encoding physics to learn reaction-diffusion processes.

[BibT_eX]

[DOI]

Nat. Mac. Intell., July, 2023

AI-accelerated Discovery of Altermagnetic Materials.

[BibT_eX]

[DOI]

CoRR, 2023

TLNets: Transformation Learning Networks for long-range time-series prediction.

[BibT_eX]

[DOI]

Wei Wang

CoRR, 2023

RSRM: Reinforcement Symbolic Regression Machine.

[BibT_eX]

[DOI]

Yilong Xu

CoRR, 2023

Physics-informed neural network for seismic wave inversion in layered semi-infinite domain.

[BibT_eX]

[DOI]

CoRR, 2023

Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Forecasting of nonlinear dynamics based on symbolic invariance.

[BibT_eX]

[DOI]

Zhao Chen

Comput. Phys. Commun., 2022

SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain.

[BibT_eX]

[DOI]

CoRR, 2022

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language.

[BibT_eX]

[DOI]

CoRR, 2022

Multimodal foundation models are better simulators of the human brain.

[BibT_eX]

[DOI]

CoRR, 2022

Physics-informed Deep Super-resolution for Spatiotemporal Data.

[BibT_eX]

[DOI]

CoRR, 2022

Predicting parametric spatiotemporal dynamics by multi-resolution PDE structure-preserved deep learning.

[BibT_eX]

[DOI]

Xin-Yang Liu

Jian-Xun Wang

CoRR, 2022

Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distilling Governing Laws and Source Input for Dynamical Systems from Videos.

[BibT_eX]

[DOI]

Lele Luan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

WenLan 2.0: Make AI Imagine via a Multimodal Foundation Model.

[BibT_eX]

[DOI]

CoRR, 2021

PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs.

[BibT_eX]

[DOI]

CoRR, 2021

Embedding Physics to Learn Spatiotemporal Dynamics from Sparse Data.

[BibT_eX]

[DOI]

CoRR, 2021

Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos.

[BibT_eX]

[DOI]

Lele Luan

CoRR, 2021

Hard Encoding of Physics for Learning Spatiotemporal Dynamics.

[BibT_eX]

[DOI]

CoRR, 2021

Physics-informed Spline Learning for Nonlinear Dynamics Discovery.

[BibT_eX]

[DOI]

Fangzheng Sun

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Extracting full-field subpixel structural displacements from videos via deep learning.

[BibT_eX]

[DOI]

CoRR, 2020

Incremental Bayesian tensor learning for structural monitoring data imputation and response forecasting.

[BibT_eX]

[DOI]

CoRR, 2020

Physics informed deep learning for computational elastodynamics without labeled data.

[BibT_eX]

[DOI]

CoRR, 2020

Sparse representation for damage identification of structural systems.

[BibT_eX]

[DOI]

Zhao Chen

CoRR, 2020

Deep learning of physical laws from scarce data.

[BibT_eX]

[DOI]

Zhao Chen

CoRR, 2020

Physics-informed deep learning for incompressible laminar flows.

[BibT_eX]

[DOI]

CoRR, 2020

Physics-Informed Multi-LSTM Networks for Metamodeling of Nonlinear Structures.

[BibT_eX]

[DOI]

Ruiyang Zhang

CoRR, 2020

2019

Physics-guided Convolutional Neural Network (PhyCNN) for Data-driven Seismic Response Modeling.

[BibT_eX]

[DOI]

Ruiyang Zhang

CoRR, 2019

2015

Statistical Regularization for Identification of Structural Parameters and External Loadings Using State Space Models.

[BibT_eX]

[DOI]

Comput. Aided Civ. Infrastructure Eng., 2015

A Hybrid Optimization Algorithm with Bayesian Inference for Probabilistic Model Updating.

[BibT_eX]

[DOI]