Yue Wang - RankMe

45 papers A* 11Journal 32Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A criterion for selecting the appropriate one from the trained models for model-based offline policy evaluation. CAAI Trans. Intell. Technol. Chongchong Li, Yue Wang, Zhi-Ming Ma, Yuting Liu
2025	J	`jnl`	DGRO: Enhancing LLM Reasoning via Exploration-Exploitation Control and Reward Variance Management. CoRR Xuerui Su, Liya Guo, Yue Wang, Yi Zhu, Zhiming Ma, Zun Wang, Yuting Liu
2025	J	`jnl`	Disentangling Length Bias In Preference Learning Via Response-Conditioned Modeling. CoRR Jianfeng Cai, Jinhua Zhu, Ruopei Sun, Yue Wang, Li Li, Wengang Zhou, Houqiang Li
2025	A*	`conf`	From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control. ICML Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu
2025	J	`jnl`	From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control. CoRR Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu
2025	A*	`conf`	How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation. AAAI Haodong Feng, Yue Wang, Dixia Fan
2025	A*	`conf`	Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control. IJCAI Peiyan Hu, Haodong Feng, Yue Wang, Zhiming Ma
2025	J	`jnl`	Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control. CoRR Peiyan Hu, Haodong Feng, Yue Wang, Zhiming Ma
2025	J	`jnl`	Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation. IEEE Trans. Pattern Anal. Mach. Intell. Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu
2025	J	`jnl`	NatureLM: Deciphering the Language of Nature for Scientific Discovery. CoRR 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
2025	J	`jnl`	Reveal the Mystery of DPO: The Connection between DPO and RL Algorithms. CoRR Xuerui Su, Yue Wang, Jinhua Zhu, Mingyang Yi, Feng Xu, Zhiming Ma, Yuting Liu
2025	J	`jnl`	Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning. CoRR Xuerui Su, Shufang Xie, Guoqing Liu, Yingce Xia, Renqian Luo, Peiran Jin, Zhiming Ma, Yue Wang, Zun Wang, Yuting Liu
2025	A*	`conf`	Wavelet Diffusion Neural Operator. ICLR Peiyan Hu, Rui Wang, Xiang Zheng, Tao Zhang, Haodong Feng, Ruiqi Feng, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu
2024	J	`jnl`	A Generative Approach to Control Complex Physical Systems. CoRR Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu
2024	A*	`conf`	Better Neural PDE Solvers Through Data-Free Mesh Movers. ICLR Peiyan Hu, Yue Wang, Zhi-Ming Ma
2024	A*	`conf`	DiffPhyCon: A Generative Approach to Control Complex Physical Systems. NeurIPS Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu
2024	J	`jnl`	How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation. CoRR Haodong Feng, Yue Wang, Dixia Fan
2024	J	`jnl`	Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey. CoRR Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Yue Wang, Zun Wang, Tao Qin, Rui Yan
2024	J	`jnl`	Multimodal Policies with Physics-informed Representations. CoRR Haodong Feng, Peiyan Hu, Yue Wang, Dixia Fan
2024	J	`jnl`	Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey. CoRR 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
2024	J	`jnl`	Wavelet Diffusion Neural Operator. CoRR Peiyan Hu, Rui Wang, Xiang Zheng, Tao Zhang, Haodong Feng, Ruiqi Feng, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu
2023	J	`jnl`	Better Neural PDE Solvers Through Data-Free Mesh Movers. CoRR Peiyan Hu, Yue Wang, Zhi-Ming Ma
2023	A*	`conf`	Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations. AAAI Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu
2023	J	`jnl`	How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement Learning. CoRR Haodong Feng, Yue Wang, Hui Xiang, Zhiyang Jin, Dixia Fan
2023	—	`conf`	How to Select the Appropriate One from the Trained Models for Model-Based OPE. CICAI (2) Chongchong Li, Yue Wang, Zhi-Ming Ma, Yuting Liu
2023	J	`jnl`	Incorporating NODE with pre-trained neural differential operator for learning dynamics. Neurocomputing Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhiming Ma, Tie-Yan Liu
2023	A*	`conf`	Making Better Decision by Directly Planning in Continuous Control. ICLR Jinhua Zhu, Yue Wang, Lijun Wu, Tao Qin, Wengang Zhou, Tie-Yan Liu, Houqiang Li
2023	J	`jnl`	Monte Carlo Neural Operator for Learning PDEs via Probabilistic Representation. CoRR Rui Zhang, Qi Meng, Rongchan Zhu, Yue Wang, Wenlei Shi, Shihua Zhang, Zhi-Ming Ma, Tie-Yan Liu
2023	A*	`conf`	NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition. ICML Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
2023	J	`jnl`	NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition. CoRR Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
2022	J	`jnl`	Constructing the Basis Path Set by Eliminating the Path Dependency. J. Syst. Sci. Complex. Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma
2022	J	`jnl`	Deep Random Vortex Method for Simulation and Inference of Navier-Stokes Equations. CoRR Rui Zhang, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhi-Ming Ma, Tie-Yan Liu
2022	A*	`conf`	Gradient Information Matters in Policy Optimization by Back-propagating through Model. ICLR Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
2022	J	`jnl`	Neural Operator with Regularity Structure for Modeling Dynamics Driven by SPDEs. CoRR Peiyan Hu, Qi Meng, Bingguang Chen, Shiqi Gong, Yue Wang, Wei Chen, Rongchan Zhu, Zhi-Ming Ma, Tie-Yan Liu
2021	J	`jnl`	Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics. CoRR Shiqi Gong, Qi Meng, Yue Wang, Lijun Wu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
2020	J	`jnl`	Constructing Basis Path Set by Eliminating Path Dependency. CoRR Juanping Zhu, Qi Meng, Wei Chen, Yue Wang, Zhiming Ma
2020	J	`jnl`	Target transfer Q-learning and its convergence analysis. Neurocomputing Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
2020	J	`jnl`	The scale-invariant space for attention layer in neural network. Neurocomputing Yue Wang, Yuting Liu, Zhi-Ming Ma
2019	J	`jnl`	Convergence analysis of distributed stochastic gradient descent with shuffling. Neurocomputing Qi Meng, Wei Chen, Yue Wang, Zhi-Ming Ma, Tie-Yan Liu
2018	J	`jnl`	Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting. CoRR Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
2018	J	`jnl`	Target Transfer Q-Learning and Its Convergence Analysis. CoRR Yue Wang, Qi Meng, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu
2017	J	`jnl`	Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling. CoRR Qi Meng, Wei Chen, Yue Wang, Zhiming Ma, Tie-Yan Liu
2017	—	`conf`	Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting. NIPS Yue Wang, Wei Chen, Yuting Liu, Zhiming Ma, Tie-Yan Liu
2017	A*	`conf`	Generalization Error Bounds for Optimization Algorithms via Stability. AAAI Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu
2016	J	`jnl`	Generalization Error Bounds for Optimization Algorithms via Stability. CoRR Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhiming Ma, Tie-Yan Liu