Yue Wang

According to our database, Yue Wang authored at least 34 papers between 2017 and 2025.

Collaborative distances:

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

2025

Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation.

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

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

DGRO: Enhancing LLM Reasoning via Exploration-Exploitation Control and Reward Variance Management.

Xuerui Su, Liya Guo, Yue Wang, Yi Zhu, Zhiming Ma, Zun Wang, Yuting Liu

CoRR, May, 2025

Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning.

Xuerui Su, Shufang Xie, Guoqing Liu, Yingce Xia, Renqian Luo, Peiran Jin, Zhiming Ma, Yue Wang, Zun Wang, Yuting Liu

CoRR, April, 2025

NatureLM: Deciphering the Language of Nature for Scientific Discovery.

Yingce Xia, Peiran Jin, Shufang Xie, Liang He, Chuan Cao, Renqian Luo, Guoqing Liu, Yue Wang, Zequn Liu, Yuan-Jyue Chen, Zekun Guo, Yeqi Bai, Pan Deng, Yaosen Min, Ziheng Lu, Hongxia Hao, Han Yang, Jielan Li, Chang Liu, Jia Zhang, Jianwei Zhu, Kehan Wu, Wei Zhang, Kaiyuan Gao, Qizhi Pei, Qian Wang, Xixian Liu, Yanting Li, Houtian Zhu, Yeqing Lu, Mingqian Ma, Zun Wang, Tian Xie, Krzysztof Maziarz, Marwin H. S. Segler, Zhao Yang, Zilong Chen, Yu Shi, Shuxin Zheng, Lijun Wu, Chen Hu, Peggy Dai, Tie-Yan Liu, Haiguang Liu, Tao Qin

CoRR, February, 2025

Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms.

Xuerui Su, Yue Wang, Jinhua Zhu, Mingyang Yi, Feng Xu, Zhiming Ma, Yuting Liu

CoRR, February, 2025

From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control.

Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu

CoRR, February, 2025

Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling.

Jianfeng Cai, Jinhua Zhu, Ruopei Sun, Yue Wang, Li Li, Wengang Zhou, Houqiang Li

CoRR, February, 2025

A criterion for selecting the appropriate one from the trained models for model-based offline policy evaluation.

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

CAAI Trans. Intell. Technol., 2025

Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control.

Peiyan Hu, Haodong Feng, Yue Wang, Zhiming Ma

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

Wavelet Diffusion Neural Operator.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation.

Haodong Feng, Yue Wang, Dixia Fan

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Multimodal Policies with Physics-informed Representations.

Haodong Feng, Peiyan Hu, Yue Wang, Dixia Fan

CoRR, 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

DiffPhyCon: 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement Learning.

Haodong Feng, Yue Wang, Hui Xiang, Zhiyang Jin, Dixia Fan

CoRR, 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