Yang Liu - RankMe

32 papers A* 5Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Discovering physical laws with parallel symbolic enumeration. Nat. Comput. Sci. Kai Ruan, Yilong Xu, Ze-Feng Gao, Yang Liu, Yike Guo, Ji-Rong Wen, Hao Sun
2026	—	`conf`	Spatiotemporal Graph Learning with Direct Volumetric Information Passing and Feature Enhancement. KDD (1) Yuan Mi, Qi Wang, Xueqin Hu, Yike Guo, Ji-Rong Wen, Yang Liu, Hao Sun
2025	—	`conf`	Reasoning-Enhanced Object-Centric Learning for Videos. KDD (1) Jian Li, Pu Ren, Yang Liu, Hao Sun
2024	A*	`conf`	P NeurIPS 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
2024	J	`jnl`	P CoRR 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
2024	J	`jnl`	Reasoning-Enhanced Object-Centric Learning for Videos. CoRR Jian Li, Pu Ren, Yang Liu, Hao Sun
2024	J	`jnl`	SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain. Comput. Phys. Commun. Pu Ren, Chengping Rao, Su Chen, Jian-Xun Wang, Hao Sun, Yang Liu
2023	J	`jnl`	Encoding physics to learn reaction-diffusion processes. Nat. Mac. Intell. Chengping Rao, Pu Ren, Qi Wang, Oral Buyukozturk, Hao Sun, Yang Liu
2023	J	`jnl`	PhySR: Physics-informed deep super-resolution for spatiotemporal data. J. Comput. Phys. Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun
2023	A*	`conf`	Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search. ICLR Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun
2022	A*	`conf`	Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning. ICLR Chengping Rao, Pu Ren, Yang Liu, Hao Sun
2022	J	`jnl`	Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning. CoRR Chengping Rao, Pu Ren, Yang Liu, Hao Sun
2022	A*	`conf`	Distilling Governing Laws and Source Input for Dynamical Systems from Videos. IJCAI Lele Luan, Yang Liu, Hao Sun
2022	J	`jnl`	Distilling Governing Laws and Source Input for Dynamical Systems from Videos. CoRR Lele Luan, Yang Liu, Hao Sun
2022	J	`jnl`	Forecasting of nonlinear dynamics based on symbolic invariance. Comput. Phys. Commun. Zhao Chen, Yang Liu, Hao Sun
2022	J	`jnl`	Physics-informed Deep Super-resolution for Spatiotemporal Data. CoRR Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun
2022	J	`jnl`	SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain. CoRR Pu Ren, Chengping Rao, Su Chen, Jian-sun Wang, Hao Sun, Yang Liu
2022	J	`jnl`	Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search. CoRR Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun
2021	J	`jnl`	Embedding Physics to Learn Spatiotemporal Dynamics from Sparse Data. CoRR Chengping Rao, Hao Sun, Yang Liu
2021	J	`jnl`	Hard Encoding of Physics for Learning Spatiotemporal Dynamics. CoRR Chengping Rao, Hao Sun, Yang Liu
2021	J	`jnl`	PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs. CoRR Pu Ren, Chengping Rao, Yang Liu, Jian-Xun Wang, Hao Sun
2021	A*	`conf`	Physics-informed Spline Learning for Nonlinear Dynamics Discovery. IJCAI Fangzheng Sun, Yang Liu, Hao Sun
2021	J	`jnl`	Physics-informed Spline Learning for Nonlinear Dynamics Discovery. CoRR Fangzheng Sun, Yang Liu, Hao Sun
2021	J	`jnl`	Uncovering Closed-form Governing Equations of Nonlinear Dynamics from Videos. CoRR Lele Luan, Yang Liu, Hao Sun
2020	J	`jnl`	Deep learning of physical laws from scarce data. CoRR Zhao Chen, Yang Liu, Hao Sun
2020	J	`jnl`	Physics informed deep learning for computational elastodynamics without labeled data. CoRR Chengping Rao, Hao Sun, Yang Liu
2020	J	`jnl`	Physics-Informed Multi-LSTM Networks for Metamodeling of Nonlinear Structures. CoRR Ruiyang Zhang, Yang Liu, Hao Sun
2020	J	`jnl`	Physics-informed deep learning for incompressible laminar flows. CoRR Chengping Rao, Hao Sun, Yang Liu
2020	J	`jnl`	Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization. CoRR Chengping Rao, Yang Liu
2019	J	`jnl`	Physics-guided Convolutional Neural Network (PhyCNN) for Data-driven Seismic Response Modeling. CoRR Ruiyang Zhang, Yang Liu, Hao Sun
2015	J	`jnl`	Statistical Regularization for Identification of Structural Parameters and External Loadings Using State Space Models. Comput. Aided Civ. Infrastructure Eng. Hao Sun, Dongming Feng, Yang Liu, Maria Q. Feng
2014	J	`jnl`	Automated modeling of random inclusion composites. Eng. Comput. Mahesh Bailakanavar, Yang Liu, Jacob Fish, Yuan Zheng