Yue Wang

According to our database, Yue Wang authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.

Haixin Wang, Yadi Cao, Zijie Huang, Yuxuan Liu, Peiyan Hu, Xiao Luo, Zezheng Song, Wanjia Zhao, Jilin Liu, Jinan Sun, Shikun Zhang, Long Wei, Yue Wang, Tailin Wu, Zhi-Ming Ma, Yizhou Sun

CoRR, 2024

A Generative Approach to Control Complex Physical Systems.

Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu

CoRR, 2024

Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey.

Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Yue Wang, Zun Wang, Tao Qin, Rui Yan

CoRR, 2024

Better Neural PDE Solvers Through Data-Free Mesh Movers.

Peiyan Hu, Yue Wang, Zhi-Ming Ma

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Incorporating NODE with pre-trained neural differential operator for learning dynamics.

Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhiming Ma, Tie-Yan Liu

Neurocomputing, April, 2023

Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation.

Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu

CoRR, 2023

NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition.

Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu

Proceedings of the International Conference on Machine Learning, 2023

Making Better Decision by Directly Planning in Continuous Control.

Jinhua Zhu, Yue Wang, Lijun Wu, Tao Qin, Wengang Zhou, Tie-Yan Liu, Houqiang Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

How to Select the Appropriate One from the Trained Models for Model-Based OPE.

Chongchong Li, Yue Wang, Zhi-Ming Ma, Yuting Liu

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations.

Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Constructing the Basis Path Set by Eliminating the Path Dependency.

Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma

J. Syst. Sci. Complex., 2022

Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations.

Rui Zhang, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhi-Ming Ma, Tie-Yan Liu

CoRR, 2022

Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs.

Peiyan Hu, Qi Meng, Bingguang Chen, Shiqi Gong, Yue Wang, Wei Chen, Rongchan Zhu, Zhi-Ming Ma, Tie-Yan Liu

CoRR, 2022

Gradient Information Matters in Policy Optimization by Back-propagating through Model.

Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

The scale-invariant space for attention layer in neural network.

Yue Wang, Yuting Liu, Zhi-Ming Ma

Neurocomputing, 2020

Target transfer Q-learning and its convergence analysis.

Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

Neurocomputing, 2020

2019

Convergence analysis of distributed stochastic gradient descent with shuffling.

Qi Meng, Wei Chen, Yue Wang, Zhi-Ming Ma, Tie-Yan Liu

Neurocomputing, 2019

2018

Target Transfer Q-Learning and Its Convergence Analysis.

Yue Wang, Qi Meng, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu

CoRR, 2018

2017

Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting.

Yue Wang, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Generalization Error Bounds for Optimization Algorithms via Stability.

Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017