Yue Wang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Physical Systems

Partial Differential Equations

Convergence Analysis

Top Venues

Publications

Peiyan Hu, Yue Wang, Zhi-Ming Ma
Better Neural PDE Solvers Through Data-Free Mesh Movers. ICLR (2024)
Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu
A Generative Approach to Control Complex Physical Systems. CoRR (2024)
Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Yue Wang, Zun Wang, Tao Qin, Rui Yan
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey. CoRR (2024)
Jinhua Zhu, Yue Wang, Lijun Wu, Tao Qin, Wengang Zhou, Tie-Yan Liu, Houqiang Li
Making Better Decision by Directly Planning in Continuous Control. ICLR (2023)
Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition. CoRR (2023)
Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition. ICML (2023)
Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations. AAAI (2023)
Peiyan Hu, Yue Wang, Zhi-Ming Ma
Better Neural PDE Solvers Through Data-Free Mesh Movers. CoRR (2023)
Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu
Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation. CoRR (2023)
Rui Zhang, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhi-Ming Ma, Tie-Yan Liu
Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations. CoRR (2022)
Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
Gradient Information Matters in Policy Optimization by Back-propagating through Model. ICLR (2022)
Peiyan Hu, Qi Meng, Bingguang Chen, Shiqi Gong, Yue Wang, Wei Chen, Rongchan Zhu, Zhi-Ming Ma, Tie-Yan Liu
Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs. CoRR (2022)
Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma
Constructing the Basis Path Set by Eliminating the Path Dependency. J. Syst. Sci. Complex. 35 (5) (2022)
Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu
R-Drop: Regularized Dropout for Neural Networks. CoRR (2021)
Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics. CoRR (2021)
Yue Wang, Yuting Liu, Zhi-Ming Ma
The scale-invariant space for attention layer in neural network. Neurocomputing 392 (2020)
Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma
Constructing Basis Path Set by Eliminating Path Dependency. CoRR (2020)
Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
Target transfer Q-learning and its convergence analysis. Neurocomputing 392 (2020)
Qi Meng, Wei Chen, Yue Wang, Zhi-Ming Ma, Tie-Yan Liu
Convergence analysis of distributed stochastic gradient descent with shuffling. Neurocomputing 337 (2019)
Yue Wang, Qi Meng, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu
Target Transfer Q-Learning and Its Convergence Analysis. CoRR (2018)
Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting. CoRR (2018)
Qi Meng, Wei Chen, Yue Wang, Zhiming Ma, Tie-Yan Liu
Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling. CoRR (2017)
Yue Wang, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu
Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting. NIPS (2017)
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Generalization Error Bounds for Optimization Algorithms via Stability. AAAI (2017)
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
Generalization Error Bounds for Optimization Algorithms via Stability. CoRR (2016)