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ORCIDQiang Ma 0004
Person information
- affiliation: Imperial College London, UK
- affiliation (2018 - 2019): Columbia University, New York, NY, USA
- affiliation (2014 - 2018): Harbin Institute of Technology at Weihai, Department of Mathematics, China
Other persons with the same name
- Qiang Ma — disambiguation page
- Qiang Ma 0001
![[0000-0003-3430-9244]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3430-9244")
— Kyoto Institute of Technology, Japan (and 1 more) - Qiang Ma 0002 — University of Illinois at Urbana-Champaign, IL, USA
- Qiang Ma 0003 — Fudan University, Shanghai, China
- Qiang Ma 0005 — Southwest University of Science and Technology, School of Information Engineering, Mianyang, China
- Qiang Ma 0006 — Rutgers University, NJ, USA
- Qiang Ma 0007 — Tsinghua University, School of Software / TNList, Beijing, China (and 1 more)
- Qiang Ma 0008 — Lanzhou University of Technology, Lanzhou, China
- Qiang Ma 0009 — Huazhong University of Science and Technology, Wuhan, China
- Qiang Ma 0010 — China Aerodynamics Research and Development Center, Mianyang, China
- Qiang Ma 0011 — Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China
- Qiang Ma 0012 — State Grid Shandong Electric Power Company, Jinan, China
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2020 – today
- 2025
[j22]Feng Wang, Zhenyu Wang, Qiang Ma, Xiaohua Ding:
A novel explicit fully-discrete momentum-preserving scheme of damped nonlinear stochastic wave equation influenced by multiplicative space-time noise. Appl. Math. Lett. 160: 109325 (2025)- 2024
- [c8]Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz:
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. MICCAI (9) 2024: 670-680 - [c7]Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert:
Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations. MICCAI (11) 2024: 766-777 - [i5]Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz:
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. CoRR abs/2409.09796 (2024) - 2023
- [j21]Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. IEEE Trans. Medical Imaging 42(2): 430-443 (2023) - [c6]Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz:
Robust Segmentation via Topology Violation Detection and Feature Synthesis. MICCAI (4) 2023: 67-77 - [c5]Qiang Ma, Liu Li, Vanessa Kyriakopoulou, Joseph V. Hajnal, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert:
Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction. MICCAI (4) 2023: 312-322 - 2022
- [j20]Kai Zeng, Qiang Ma, Jiawen Wu, Sijia Xiang, Tao Shen, Lei Zhang:
NLFFTNet: A non-local feature fusion transformer network for multi-scale object detection. Neurocomputing 493: 15-27 (2022) - [c4]Ruizhou Liu, Qiang Ma, Zhiwei Cheng, Yuanyuan Lyu, Jianji Wang, S. Kevin Zhou:
Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising. MICCAI (8) 2022: 13-23 - [c3]Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz, Amir Alansary:
Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. EPIMI/ML-CDS@MICCAI 2022: 123-133 - [i4]Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. CoRR abs/2202.08329 (2022) - [i3]Liu Li, Qiang Ma, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. CoRR abs/2205.08239 (2022) - [i2]Ruizhou Liu, Qiang Ma, Zhiwei Cheng, Yuanyuan Lyu, Jianji Wang, S. Kevin Zhou:
Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising. CoRR abs/2208.14022 (2022) - 2021
- [j19]Rian Yan, Yujing Sun, Qiang Ma, Xiaohua Ding:
An hp-version spectral collocation method for multi-term nonlinear fractional initial value problems with variable-order fractional derivatives. Int. J. Comput. Math. 98(5): 975-998 (2021) - [j18]Yao Shi, Qiang Ma, Xiaohua Ding:
Conservative difference scheme for fractional Zakharov system and convergence analysis. Int. J. Comput. Math. 98(7): 1474-1494 (2021) - [j17]Xuan Xin, Qiang Ma, Xiaohua Ding:
The parallel waveform relaxation stochastic Runge-Kutta method for stochastic differential equations. J. Appl. Math. Comput. 66(1-2): 439-463 (2021) - [j16]Longbin Wu, Qiang Ma, Xiaohua Ding:
Energy-preserving scheme for the nonlinear fractional Klein-Gordon Schrödinger equation. Math. Comput. Simul. 190: 1110-1129 (2021) - [c2]Qiang Ma, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction. MLCN@MICCAI 2021: 73-81 - 2020
- [j15]Zhenyu Wang, Qiang Ma, Zhen Yao, Xiaohua Ding:
The Magnus Expansion for Stochastic Differential Equations. J. Nonlinear Sci. 30(1): 419-447 (2020) - [j14]Lei Shi, Zhong Chen, Xiaohua Ding, Qiang Ma:
A new stable collocation method for solving a class of nonlinear fractional delay differential equations. Numer. Algorithms 85(4): 1123-1153 (2020) - [j13]Sitian Qin, Qiang Ma, Jiqiang Feng, Chen Xu:
Multistability of Almost Periodic Solution for Memristive Cohen-Grossberg Neural Networks With Mixed Delays. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1914-1926 (2020) - [c1]Iddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell:
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time. ICMLA 2020: 19-24 - [i1]Iddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell:
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time. CoRR abs/2006.03750 (2020)
2010 – 2019
- 2019
- [j12]Minggang Han, Qiang Ma, Xiaohua Ding:
High-order stochastic symplectic partitioned Runge-Kutta methods for stochastic Hamiltonian systems with additive noise. Appl. Math. Comput. 346: 575-593 (2019) - [j11]Rian Yan, Minggang Han, Qiang Ma, Xiaohua Ding:
A spectral collocation method for nonlinear fractional initial value problems with a variable-order fractional derivative. Comput. Appl. Math. 38(2) (2019) - [j10]Qiang Ma, Sitian Qin, Tao Jin:
Complex Zhang neural networks for complex-variable dynamic quadratic programming. Neurocomputing 330: 56-69 (2019) - [j9]Minggang Han, Qiang Ma, Xiaohua Ding:
The projected explicit Itô-Taylor methods for stochastic differential equations under locally Lipschitz conditions and polynomial growth conditions. J. Comput. Appl. Math. 348: 161-180 (2019) - 2018
- [j8]Xiuyan Li, Chiping Zhang, Qiang Ma, Xiaohua Ding:
Discrete gradient methods and linear projection methods for preserving a conserved quantity of stochastic differential equations. Int. J. Comput. Math. 95(12): 2511-2524 (2018) - [j7]Mingzhu Li, Qiang Ma, Xiaohua Ding:
A compact ADI Crank-Nicolson difference scheme for the two-dimensional time fractional subdiffusion equation. Int. J. Comput. Math. 95(12): 2525-2538 (2018) - 2017
- [j6]Jiqiang Feng, Qiang Ma, Sitian Qin:
Exponential Stability of Periodic Solution for Impulsive Memristor-Based Cohen-Grossberg Neural Networks with Mixed Delays. Int. J. Pattern Recognit. Artif. Intell. 31(7): 1750022:1-1750022:17 (2017) - 2015
- [j5]Qiang Ma, Xiaohua Ding:
Stochastic symplectic partitioned Runge-Kutta methods for stochastic Hamiltonian systems with multiplicative noise. Appl. Math. Comput. 252: 520-534 (2015) - 2014
- [j4]Deqiong Ding, Qiang Ma, Xiaohua Ding:
An unconditionally positive and global stability preserving NSFD scheme for an epidemic model with vaccination. Int. J. Appl. Math. Comput. Sci. 24(3): 635-646 (2014) - 2013
- [j3]Mingzhu Li, Lijuan Chen, Qiang Ma:
The Numerical Solution of Linear Sixth Order Boundary Value Problems with Quartic B-Splines. J. Appl. Math. 2013: 962165:1-962165:7 (2013) - 2012
- [j2]Qiang Ma, Deqiong Ding, Xiaohua Ding:
Symplectic conditions and stochastic generating functions of stochastic Runge-Kutta methods for stochastic Hamiltonian systems with multiplicative noise. Appl. Math. Comput. 219(2): 635-643 (2012) - 2010
- [j1]Xiaohua Ding, Qiang Ma, Lei Zhang:
Convergence and stability of the split-step theta-method for stochastic differential equations. Comput. Math. Appl. 60(5): 1310-1321 (2010)
Coauthor Index
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