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ORCIDXiang Zhou 0001
Person information
- affiliation: City University of Hong Kong, Kowloon, Hong Kong
Other persons with the same name
- Xiang Zhou — disambiguation page
- Xiang Zhou 0002 — Guilin University of Technology, College of Mechanical and Control Engineering, China (and 1 more)
- Xiang Zhou 0003
![[0000-0003-0110-5720]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0110-5720")
— Southwest Jiaotong University, Chengdu, China - Xiang Zhou 0004 — Hangzhou Dianzi University, Hangzhou, China
- Xiang Zhou 0005 — Zhejiang University of Science and Technology, Hangzhou, China
- Xiang Zhou 0006 — Nanchang University, Nanchang, China
- Xiang Zhou 0007 — CloudWalk Technology
- Xiang Zhou 0008 — University of Electronic Science and Technology of China, Center for Future Media, Chengdu, China
- Xiang Sean Zhou (aka: Xiang Zhou 0009) — Shanghai United Imaging Intelligence Co., Ltd, Shanghai, China (and 1 more)
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2020 – today
- 2024
[j14]Xiaoxue Zhao, Xiang Zhou:
Critical points, stability, and basins of attraction of three Kuramoto oscillators with isosceles triangle network. Appl. Math. Lett. 158: 109246 (2024)- [i7]Zhiqiang Cai, Yu Cao, Yuanfei Huang, Xiang Zhou:
Weak Generative Sampler to Efficiently Sample Invariant Distribution of Stochastic Differential Equation. CoRR abs/2405.19256 (2024) - 2023
- [j13]Alain Bensoussan, Jiayue Han, Sheung Chi Phillip Yam, Xiang Zhou:
Value-Gradient Based Formulation of Optimal Control Problem and Machine Learning Algorithm. SIAM J. Numer. Anal. 61(2): 973-994 (2023) - [c5]Keke Wu, Xiangru Jian, Rui Du, Jingrun Chen, Xiang Zhou:
Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations*. IEEE Big Data 2023: 966-975 - [c4]Yu Cao, Jingrun Chen, Yixin Luo, Xiang Zhou:
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations. NeurIPS 2023 - [i6]Yu Cao, Jingrun Chen, Yixin Luo, Xiang Zhou:
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations. CoRR abs/2306.02063 (2023) - 2022
- [j12]Zhiqiang Cai, Ling Lin, Xiang Zhou:
Learn Quasi-Stationary Distributions of Finite State Markov Chain. Entropy 24(1): 133 (2022) - [j11]Yitong Yan, Chuangchuang Liu, Changyou Chen, Xianfang Sun, Longcun Jin, Xinyi Peng, Xiang Zhou:
Fine-Grained Attention and Feature-Sharing Generative Adversarial Networks for Single Image Super-Resolution. IEEE Trans. Multim. 24: 1473-1487 (2022) - [c3]Jiayue Han, Zhiqiang Cai, Zhiyou Wu, Xiang Zhou:
Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network. IEEE Big Data 2022: 921-930 - [i5]Jiayue Han, Zhiqiang Cai, Zhiyou Wu, Xiang Zhou:
Residual-Quantile Adjustment for Adaptive Training of Physics-informed Neural Network. CoRR abs/2209.05315 (2022) - 2021
- [c2]Bo Xiao, Wuguannan Yao, Xiang Zhou:
Optimal Option Hedging with Policy Gradient. ICDM (Workshops) 2021: 1112-1119 - [i4]Keke Wu, Rui Du, Jingrun Chen, Xiang Zhou:
Understanding Loss Landscapes of Neural Network Models in Solving Partial Differential Equations. CoRR abs/2103.11069 (2021) - [i3]Zhiqiang Cai, Ling Lin, Xiang Zhou:
Learn Quasi-stationary Distributions of Finite State Markov Chain. CoRR abs/2111.11213 (2021) - 2020
- [i2]Alain Bensoussan, Yiqun Li, Dinh Phan Cao Nguyen, Minh-Binh Tran, Sheung Chi Phillip Yam, Xiang Zhou:
Machine Learning and Control Theory. CoRR abs/2006.05604 (2020)
2010 – 2019
- 2019
- [j10]Jingrun Chen, Ling Lin, Zhiwen Zhang, Xiang Zhou:
Estimation of exciton diffusion lengths of organic semiconductors in random domains. J. Comput. Phys. 376: 894-912 (2019) - [j9]Ling Lin, Haijun Yu, Xiang Zhou:
Quasi-Potential Calculation and Minimum Action Method for Limit Cycle. J. Nonlinear Sci. 29(3): 961-991 (2019) - [i1]Yitong Yan, Chuangchuang Liu, Changyou Chen, Xianfang Sun, Longcun Jin, Xiang Zhou:
Fine-grained Attention and Feature-sharing Generative Adversarial Networks for Single Image Super-Resolution. CoRR abs/1911.10773 (2019) - 2016
- [j8]Weiguo Gao, Jing Leng, Xiang Zhou:
Iterative minimization algorithm for efficient calculations of transition states. J. Comput. Phys. 309: 69-87 (2016) - [j7]Yu Cao, Ling Lin, Xiang Zhou:
Explore Stochastic Instabilities of Periodic Points by Transition Path Theory. J. Nonlinear Sci. 26(3): 755-786 (2016) - [j6]Tiejun Li, Xiaoguang Li, Xiang Zhou:
Finding Transition Pathways on Manifolds. Multiscale Model. Simul. 14(1): 173-206 (2016) - 2015
- [j5]Weiguo Gao, Jing Leng, Xiang Zhou:
An Iterative Minimization Formulation for Saddle Point Search. SIAM J. Numer. Anal. 53(4): 1786-1805 (2015) - [j4]Jingchen Liu, Jianfeng Lu, Xiang Zhou:
Efficient Rare Event Simulation for Failure Problems in Random Media. SIAM J. Sci. Comput. 37(2) (2015) - [j3]Hui Wang, Xiang Zhou:
A Cross-Entropy Scheme for Mixtures. ACM Trans. Model. Comput. Simul. 25(1): 6:1-6:20 (2015) - 2014
- [j2]Jingchen Liu, Xiang Zhou:
Extreme Analysis of a Random Ordinary Differential Equation. J. Appl. Probab. 51(4): 1021-1036 (2014) - 2011
- [c1]Jingchen Liu, Rohit Patra, Xiang Zhou, Weinan E:
Failure of random materials: a large deviation and computational study. WSC 2011: 3784-3794
2000 – 2009
- 2009
- [j1]Xiang Zhou, KongFatt Wong-Lin, Philip Holmes:
Time-Varying Perturbations Can Distinguish Among Integrate-to-Threshold Models for Perceptual Decision Making in Reaction Time Tasks. Neural Comput. 21(8): 2336-2362 (2009)
Coauthor Index
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