Time-Varying Perturbations Can Distinguish Among Integrate-to-Threshold Models for Perceptual Decision Making in Reaction Time Tasks. - Xiang Zhou 001; KongFatt Wong-Lin; Philip Holmes (Neural Comput., 2009)

Failure of random materials: a large deviation and computational study. - Jingchen Liu; Rohit Patra; Xiang Zhou 001; Weinan E (WSC, 2011)

Extreme Analysis of a Random Ordinary Differential Equation. - Jingchen Liu; Xiang Zhou 001 (J. Appl. Probab., 2014)

An Iterative Minimization Formulation for Saddle Point Search. - Weiguo Gao; Jing Leng; Xiang Zhou 001 (SIAM J. Numer. Anal., 2015)

Efficient Rare Event Simulation for Failure Problems in Random Media. - Jingchen Liu; Jianfeng Lu 001; Xiang Zhou 001 (SIAM J. Sci. Comput., 2015)

A Cross-Entropy Scheme for Mixtures. - Hui Wang; Xiang Zhou 001 (ACM Trans. Model. Comput. Simul., 2015)

Iterative minimization algorithm for efficient calculations of transition states. - Weiguo Gao; Jing Leng; Xiang Zhou 001 (J. Comput. Phys., 2016)

Explore Stochastic Instabilities of Periodic Points by Transition Path Theory. - Yu Cao 005; Ling Lin 002; Xiang Zhou 001 (J. Nonlinear Sci., 2016)

Finding Transition Pathways on Manifolds. - Tiejun Li; Xiaoguang Li; Xiang Zhou 001 (Multiscale Model. Simul., 2016)

Convex splitting method for the calculation of transition states of energy functional. - Shuting Gu; Xiang Zhou 001 (J. Comput. Phys., 2018)

Asymptotically Efficient Simulation of Elliptic Problems with Small Random Forcing. - Xiaoliang Wan; Xiang Zhou 001 (SIAM J. Sci. Comput., 2018)

On the Global Convergence of Continuous-Time Stochastic Heavy-Ball Method for Nonconvex Optimization. - Wenqing Hu; Chris Junchi Li; Xiang Zhou 001 (IEEE BigData, 2019)

Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution. - Yitong Yan; Chuangchuang Liu; Changyou Chen; Xianfang Sun; Longcun Jin; Xiang Zhou 001 (CoRR, 2019)

Estimation of exciton diffusion lengths of organic semiconductors in random domains. - Jingrun Chen; Ling Lin 002; Zhiwen Zhang 001; Xiang Zhou 001 (J. Comput. Phys., 2019)

Quasi-Potential Calculation and Minimum Action Method for Limit Cycle. - Ling Lin 002; Haijun Yu; Xiang Zhou 001 (J. Nonlinear Sci., 2019)

Machine Learning and Control Theory. - Alain Bensoussan 001; Yiqun Li; Dinh Phan Cao Nguyen; Minh-Binh Tran; Sheung Chi Phillip Yam; Xiang Zhou 001 (CoRR, 2020)

Optimal Option Hedging with Policy Gradient. - Bo Xiao; Wuguannan Yao; Xiang Zhou 001 (ICDM (Workshops), 2021)

Understanding Loss Landscapes of Neural Network Models in Solving Partial Differential Equations. - Keke Wu; Rui Du; Jingrun Chen; Xiang Zhou 001 (CoRR, 2021)

Projection Method for Saddle Points of Energy Functional in H-1 Metric. - Shuting Gu; Ling Lin 002; Xiang Zhou 001 (J. Sci. Comput., 2021)

Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network. - Jiayue Han; Zhiqiang Cai 004; Zhiyou Wu; Xiang Zhou 001 (IEEE Big Data, 2022)

Learn Quasi-Stationary Distributions of Finite State Markov Chain. - Zhiqiang Cai 004; Ling Lin 002; Xiang Zhou 001 (Entropy, 2022)

Active Learning for Saddle Point Calculation. - Shuting Gu; Hongqiao Wang; Xiang Zhou 001 (J. Sci. Comput., 2022)

Fine-Grained Attention and Feature-Sharing Generative Adversarial Networks for Single Image Super-Resolution. - Yitong Yan; Chuangchuang Liu; Changyou Chen; Xianfang Sun; Longcun Jin; Xinyi Peng; Xiang Zhou 001 (IEEE Trans. Multim., 2022)

Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations*. - Keke Wu; Xiangru Jian; Rui Du; Jingrun Chen; Xiang Zhou 001 (IEEE Big Data, 2023)

Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations. - Yu Cao 005; Jingrun Chen; Yixin Luo; Xiang Zhou 001 (NeurIPS, 2023)

Value-Gradient Based Formulation of Optimal Control Problem and Machine Learning Algorithm. - Alain Bensoussan 001; Jiayue Han; Sheung Chi Phillip Yam; Xiang Zhou 001 (SIAM J. Numer. Anal., 2023)

Critical points, stability, and basins of attraction of three Kuramoto oscillators with isosceles triangle network. - Xiaoxue Zhao; Xiang Zhou 001 (Appl. Math. Lett., 2024)

Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation. - Zhiqiang Cai 004; Yu Cao 005; Yuanfei Huang; Xiang Zhou 001 (CoRR, 2024)

Approximation of functionals on Korobov spaces with Fourier Functional Networks. - Peilin Liu; Yuqing Liu; Xiang Zhou 001; Ding-Xuan Zhou (Neural Networks, 2025)

Probability Flow Approach to the Onsager-Machlup Functional for Jump-Diffusion Processes. - Yuanfei Huang; Xiang Zhou 001; Jinqiao Duan (SIAM J. Appl. Math., 2025)