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Yue Wang 0017
Person information
- affiliation: Microsoft Research Asia
- affiliation (PhD): Beijing Jiaotong University, School of Science, China
Other persons with the same name
- Yue Wang — disambiguation page
- Yue Wang 0001 — Beijing Institute of Technology, Department of Electronic Engineering, China
- Yue Wang 0002 — Yamaguchi University, Ube, Japan
- Yue Wang 0003 — Chinese University of Hong Kong, Hong Kong
- Yue Wang 0004 — Maryland University, Baltimore, MD, USA
- Yue Wang 0005 — Institute for Infocomm Research, A*Star (Agency for Science, Technology and Research), Singapore, Singapore (and 1 more)
- Yue Wang 0006 — NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore
- Yue Wang 0007
— Department of Electronic Engineering, Tsinghua University, Beijing, China
- Yue Wang 0008
- Yue Wang 0009
- Yue Wang 0010
- Yue Wang 0011
- Yue Wang 0012
- Yue Wang 0013
- Yue Wang 0014
- Yue Wang 0015 — Bohai University, College of New Energy, Jinzhou, China
- Yue Wang 0018
- Yue Wang 0019
- Yue Wang 0020
- Yue Joseph Wang
- Yue Wang 0022 — University of Missouri, Columbia, MO, USA
- Yue Wang 0023
- Yue Wang 0024
- Yue Wang 0025
- Yue Wang 0026
- Yue Wang 0027
- Yue Wang 0028
- Yue Wang 0029
- Yue Wang 0030
- Yue Wang 0031
- Yue Wang 0032
- Yue Wang 0033 — New Jersey Institute of Technology, Newark, NJ, USA
- Yue Wang 0034
- Yue Wang 0035
- Yue Wang 0036
- Yue Wang 0037 — University of Delaware, Department of Electrical and Computer Engineering, USA
- Yue Wang 0038
- Yue Wang 0039
- Yue Wang 0040
- Yue Wang 0041 — University of Southern California, CA, USA (and 2 more)
- Yue Wang 0042
- Yue Wang 0043 — Xi'an University, School of Information Engineering, China
- Yue Wang 0044
- Yue Wang 0045
- Yue Wang 0046
- Yue Wang 0047
- Yue Wang 0048
- Yue Wang 0049
- Yue Wang 0050
- Yue Wang 0051
- Yue Wang 0052
- Yue Wang 0053
- Yue Wang 0054
- Yue Wang 0055
- Yue Wang 0056
- Yue Wang 0057
- Yue Wang 0058
- Yue Wang 0059
- Yue Wang 0060
- Yue Wang 0061
- Yue Wang 0062
- Yue Wang 0063
- Yue Wang 0065
- Yue Wang 0066 — University of North Carolina at Chapel Hill, NC, USA
- Yue Wang 0067 — University of Greenwich, Greenwich Campus, London, UK
- Yue Wang 0068
- Yue Wang 0069
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2020 – today
- 2024
- [c8]Peiyan Hu, Yue Wang, Zhi-Ming Ma:
Better Neural PDE Solvers Through Data-Free Mesh Movers. ICLR 2024 - [i14]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 abs/2403.01528 (2024) - [i13]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 abs/2407.06494 (2024) - [i12]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:
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey. CoRR abs/2408.12171 (2024) - 2023
- [j5]Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhiming Ma, Tie-Yan Liu:
Incorporating NODE with pre-trained neural differential operator for learning dynamics. Neurocomputing 528: 48-58 (2023) - [c7]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: 7740-7747 - [c6]Chongchong Li
How to Select the Appropriate One from the Trained Models for Model-Based OPE. CICAI (2) 2023: 285-297 - [c5]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 - [c4]Xinquan Huang
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition. ICML 2023: 13993-14006 - [i11]Rui Zhang
Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation. CoRR abs/2302.05104 (2023) - [i10]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 abs/2302.10255 (2023) - [i9]Peiyan Hu, Yue Wang, Zhi-Ming Ma:
Better Neural PDE Solvers Through Data-Free Mesh Movers. CoRR abs/2312.05583 (2023) - 2022
- [j4]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): 1944-1962 (2022) - [c3]Chongchong Li
Gradient Information Matters in Policy Optimization by Back-propagating through Model. ICLR 2022 - [i8]Peiyan Hu, Qi Meng, Bingguang Chen, Shiqi Gong
Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs. CoRR abs/2204.06255 (2022) - [i7]Rui Zhang
Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations. CoRR abs/2206.09571 (2022) - 2021
- [i6]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 abs/2106.04166 (2021) - 2020
- [j3]Yue Wang, Yuting Liu, Zhi-Ming Ma:
The scale-invariant space for attention layer in neural network. Neurocomputing 392: 1-10 (2020) - [j2]Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu:
Target transfer Q-learning and its convergence analysis. Neurocomputing 392: 11-22 (2020) - [i5]Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma:
Constructing Basis Path Set by Eliminating Path Dependency. CoRR abs/2007.00657 (2020)
2010 – 2019
- 2019
- [j1]Qi Meng
Convergence analysis of distributed stochastic gradient descent with shuffling. Neurocomputing 337: 46-57 (2019) - 2018
- [i4]Yue Wang, Qi Meng, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu:
Target Transfer Q-Learning and Its Convergence Analysis. CoRR abs/1809.08923 (2018) - [i3]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 abs/1809.08926 (2018) - 2017
- [c2]Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Generalization Error Bounds for Optimization Algorithms via Stability. AAAI 2017: 2336-2342 - [c1]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: 5504-5513 - [i2]Qi Meng, Wei Chen, Yue Wang, Zhiming Ma, Tie-Yan Liu:
Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling. CoRR abs/1709.10432 (2017) - 2016
- [i1]Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu:
Generalization Error Bounds for Optimization Algorithms via Stability. CoRR abs/1609.08397 (2016)
Coauthor Index
aka: Zhi-Ming Ma
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