Xiang Zhou - RankMe

33 papers A* 1B 2Misc 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Approximation of functionals on Korobov spaces with Fourier Functional Networks. Neural Networks Peilin Liu, Yuqing Liu, Xiang Zhou, Ding-Xuan Zhou
2025	J	`jnl`	Probability Flow Approach to the Onsager-Machlup Functional for Jump-Diffusion Processes. SIAM J. Appl. Math. Yuanfei Huang, Xiang Zhou, Jinqiao Duan
2024	J	`jnl`	Critical points, stability, and basins of attraction of three Kuramoto oscillators with isosceles triangle network. Appl. Math. Lett. Xiaoxue Zhao, Xiang Zhou
2024	J	`jnl`	Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation. CoRR Zhiqiang Cai, Yu Cao, Yuanfei Huang, Xiang Zhou
2023	A*	`conf`	Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations. NeurIPS Yu Cao, Jingrun Chen, Yixin Luo, Xiang Zhou
2023	J	`jnl`	Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations. CoRR Yu Cao, Jingrun Chen, Yixin Luo, Xiang Zhou
2023	B	`conf`	Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations IEEE Big Data Keke Wu, Xiangru Jian, Rui Du, Jingrun Chen, Xiang Zhou
2023	J	`jnl`	Value-Gradient Based Formulation of Optimal Control Problem and Machine Learning Algorithm. SIAM J. Numer. Anal. Alain Bensoussan, Jiayue Han, Sheung Chi Phillip Yam, Xiang Zhou
2022	J	`jnl`	Active Learning for Saddle Point Calculation. J. Sci. Comput. Shuting Gu, Hongqiao Wang, Xiang Zhou
2022	J	`jnl`	Fine-Grained Attention and Feature-Sharing Generative Adversarial Networks for Single Image Super-Resolution. IEEE Trans. Multim. Yitong Yan, Chuangchuang Liu, Changyou Chen, Xianfang Sun, Longcun Jin, Xinyi Peng, Xiang Zhou
2022	J	`jnl`	Learn Quasi-Stationary Distributions of Finite State Markov Chain. Entropy Zhiqiang Cai, Ling Lin, Xiang Zhou
2022	B	`conf`	Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network. IEEE Big Data Jiayue Han, Zhiqiang Cai, Zhiyou Wu, Xiang Zhou
2022	J	`jnl`	Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network. CoRR Jiayue Han, Zhiqiang Cai, Zhiyou Wu, Xiang Zhou
2021	J	`jnl`	Learn Quasi-stationary Distributions of Finite State Markov Chain. CoRR Zhiqiang Cai, Ling Lin, Xiang Zhou
2021	—	`conf`	Optimal Option Hedging with Policy Gradient. ICDM (Workshops) Bo Xiao, Wuguannan Yao, Xiang Zhou
2021	J	`jnl`	Projection Method for Saddle Points of Energy Functional in H J. Sci. Comput. Shuting Gu, Ling Lin, Xiang Zhou
2021	J	`jnl`	Understanding Loss Landscapes of Neural Network Models in Solving Partial Differential Equations. CoRR Keke Wu, Rui Du, Jingrun Chen, Xiang Zhou
2020	J	`jnl`	Machine Learning and Control Theory. CoRR Alain Bensoussan, Yiqun Li, Dinh Phan Cao Nguyen, Minh-Binh Tran, Sheung Chi Phillip Yam, Xiang Zhou
2019	J	`jnl`	Estimation of exciton diffusion lengths of organic semiconductors in random domains. J. Comput. Phys. Jingrun Chen, Ling Lin, Zhiwen Zhang, Xiang Zhou
2019	J	`jnl`	Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution. CoRR Yitong Yan, Chuangchuang Liu, Changyou Chen, Xianfang Sun, Longcun Jin, Xiang Zhou
2019	—	`conf`	On the Global Convergence of Continuous-Time Stochastic Heavy-Ball Method for Nonconvex Optimization. IEEE BigData Wenqing Hu, Chris Junchi Li, Xiang Zhou
2019	J	`jnl`	Quasi-Potential Calculation and Minimum Action Method for Limit Cycle. J. Nonlinear Sci. Ling Lin, Haijun Yu, Xiang Zhou
2018	J	`jnl`	Asymptotically Efficient Simulation of Elliptic Problems with Small Random Forcing. SIAM J. Sci. Comput. Xiaoliang Wan, Xiang Zhou
2018	J	`jnl`	Convex splitting method for the calculation of transition states of energy functional. J. Comput. Phys. Shuting Gu, Xiang Zhou
2016	J	`jnl`	Explore Stochastic Instabilities of Periodic Points by Transition Path Theory. J. Nonlinear Sci. Yu Cao, Ling Lin, Xiang Zhou
2016	J	`jnl`	Finding Transition Pathways on Manifolds. Multiscale Model. Simul. Tiejun Li, Xiaoguang Li, Xiang Zhou
2016	J	`jnl`	Iterative minimization algorithm for efficient calculations of transition states. J. Comput. Phys. Weiguo Gao, Jing Leng, Xiang Zhou
2015	J	`jnl`	A Cross-Entropy Scheme for Mixtures. ACM Trans. Model. Comput. Simul. Hui Wang, Xiang Zhou
2015	J	`jnl`	An Iterative Minimization Formulation for Saddle Point Search. SIAM J. Numer. Anal. Weiguo Gao, Jing Leng, Xiang Zhou
2015	J	`jnl`	Efficient Rare Event Simulation for Failure Problems in Random Media. SIAM J. Sci. Comput. Jingchen Liu, Jianfeng Lu, Xiang Zhou
2014	J	`jnl`	Extreme Analysis of a Random Ordinary Differential Equation. J. Appl. Probab. Jingchen Liu, Xiang Zhou
2011	Misc	`conf`	Failure of random materials: a large deviation and computational study. WSC Jingchen Liu, Rohit Patra, Xiang Zhou, Weinan E
2009	J	`jnl`	Time-Varying Perturbations Can Distinguish Among Integrate-to-Threshold Models for Perceptual Decision Making in Reaction Time Tasks. Neural Comput. Xiang Zhou, KongFatt Wong-Lin, Philip Holmes