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ORCIDFei Ma 0002
Person information
- affiliation: Xi'an Jiaotong-Liverpool University, School of Mathematics and Physics, Suzhou, China
- affiliation (PhD): Flinders University, School of Informatics and Engineering, Adelaide, Australia
Other persons with the same name
- Fei Ma — disambiguation page
- Fei Ma 0001
![[0000-0003-4906-6142]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4906-6142")
— Beijing University of Chemical Technology, College of Information Science and Technology, Beijing, China (and 1 more) - Fei Ma 0003 — Beihang University, School of Automation Science and Electrical Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China
- Fei Ma 0004 — Qufu Normal University, School of Computer Science, Rizhao, China (and 3 more)
- Fei Ma 0005 — Liaoning Technical University, School of Electronic and Information Engineering, Huludao, China (and 2 more)
- Fei Ma 0006 — Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China (and 1 more)
- Fei Ma 0007 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China (and 2 more)
- Fei Ma 0008 — Australian National University, College of Engineering and Computer Science, Audio and Acoustic Signal Processing Group, Canberra, Australia
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2020 – today
- 2025
[j19]Wangyu Wu, Tianhong Dai, Zhenhong Chen, Xiaowei Huang, Jimin Xiao, Fei Ma, Renrong Ouyang:
Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation. Eng. Appl. Artif. Intell. 139: 109626 (2025)- [j18]Wangyu Wu, Tianhong Dai, Zhenhong Chen, Xiaowei Huang, Fei Ma, Jimin Xiao:
Generative Prompt Controlled Diffusion for weakly supervised semantic segmentation. Neurocomputing 638: 130103 (2025) - [c33]Wangyu Wu, Siqi Song, Xianglin Qiu, Xiaowei Huang, Fei Ma, Jimin Xiao:
Image Fusion for Cross-Domain Sequential Recommendation. WWW (Companion Volume) 2025: 2196-2202 - [i11]Wangyu Wu, Siqi Song, Xianglin Qiu, Xiaowei Huang, Fei Ma, Jimin Xiao:
Image Fusion for Cross-Domain Sequential Recommendation. CoRR abs/2502.15694 (2025) - [i10]Wangyu Wu, Zhenhong Chen, Siqi Song, Xianglin Qiu, Xiaowei Huang, Fei Ma, Jimin Xiao:
Hierarchical Attention Fusion of Visual and Textual Representations for Cross-Domain Sequential Recommendation. CoRR abs/2504.15085 (2025) - 2024
- [j17]Chengyu Wang, Limin Yu, Jionglong Su, Juming Shen, Valerio Selis, Chunxiao Yang, Fei Ma:
Fully Automatic Karyotyping via Deep Convolutional Neural Networks. IEEE Access 12: 46081-46092 (2024) - [j16]Zixun Lan, Zuo Zeng, Binjie Hong, Zhenfu Liu, Fei Ma:
RCsearcher: Reaction center identification in retrosynthesis via deep Q-learning. Pattern Recognit. 150: 110318 (2024) - [j15]Zixun Lan, Binjie Hong, Ye Ma, Fei Ma:
More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference. IEEE Trans. Knowl. Data Eng. 36(11): 6588-6599 (2024) - [c32]Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao:
Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation. ICASSP 2024: 6175-6179 - [c31]Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao:
Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation. SMC 2024: 5270-5275 - [i9]Zixun Lan, Binjie Hong, Jiajun Zhu, Zuo Zeng, Zhenfu Liu, Limin Yu, Fei Ma:
Retrosynthesis Prediction via Search in (Hyper) Graph. CoRR abs/2402.06772 (2024) - [i8]Wangyu Wu, Tianhong Dai, Zhenhong Chen, Xiaowei Huang, Fei Ma, Jimin Xiao:
APC: Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation. CoRR abs/2407.10649 (2024) - [i7]Wangyu Wu, Xianglin Qiu, Siqi Song, Xiaowei Huang, Fei Ma, Jimin Xiao:
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation. CoRR abs/2412.13823 (2024) - [i6]Wangyu Wu, Xianglin Qiu, Siqi Song, Zhenhong Chen, Xiaowei Huang, Fei Ma, Jimin Xiao:
Image Augmentation Agent for Weakly Supervised Semantic Segmentation. CoRR abs/2412.20439 (2024) - 2023
- [j14]Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen, Fei Ma:
Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset. Algorithms 16(1): 24 (2023) - [j13]Chengyu Wang, Limin Yu, Jionglong Su, Trevor Mahy, Valerio Selis, Chunxiao Yang, Fei Ma:
Down Syndrome detection with Swin Transformer architecture. Biomed. Signal Process. Control. 86(Part B): 105199 (2023) - [j12]Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen, Fei Ma:
Deep ensemble learning for high-dimensional subsurface fluid flow modeling. Eng. Appl. Artif. Intell. 126: 106968 (2023) - [j11]Abouzar Choubineh, Jie Chen, Frans Coenen, Fei Ma:
A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling. J. Comput. Inf. Sci. Eng. 23(1) (2023) - [j10]Zixun Lan, Ye Ma, Limin Yu, Linglong Yuan, Fei Ma:
AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching. Pattern Recognit. 133: 109033 (2023) - [c30]Zixun Lan, Limin Yu, Linglong Yuan, Zili Wu, Qiang Niu, Fei Ma:
Sub-GMN: The Neural Subgraph Matching Network Model. CISP-BMEI 2023: 1-7 - [i5]Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao:
Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation. CoRR abs/2310.09760 (2023) - [i4]Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao:
Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation. CoRR abs/2310.09828 (2023) - 2022
- [j9]Tiantian Guo, Tongpo Zhang, Enggee Lim, Miguel López-Benítez, Fei Ma, Limin Yu:
A Review of Wavelet Analysis and Its Applications: Challenges and Opportunities. IEEE Access 10: 58869-58903 (2022) - [j8]Sifan Song, Tianming Bai, Yanxin Zhao, Wenbo Zhang, Chunxiao Yang, Jia Meng, Fei Ma, Jionglong Su:
A New Convolutional Neural Network Architecture for Automatic Segmentation of Overlapping Human Chromosomes. Neural Process. Lett. 54(1): 285-301 (2022) - [j7]Tongpo Zhang, Xiaokai Nie, Xu Zhu, Enggee Lim, Fei Ma, Limin Yu:
Improved Camshift Algorithm in AGV Vision-based Tracking with Edge Computing. J. Supercomput. 78(2): 2709-2723 (2022) - [c29]Tongpo Zhang, Yuxin Wan, Miguel López-Benítez, Enggee Lim, Fei Ma, Limin Yu:
Big data encrypting transmission framework for a multi-AGV system. CyberC 2022: 50-56 - [c28]Yan Li, Yanhui Song, Fei Ma:
XGBoost Prediction of Infection of Leukemia Patients with Fever of Unknown Origin. ICBIP 2022: 85-89 - [c27]Huiying Xu, Jie Chen, Fei Ma:
Adaptive Deep Learning Approximation for Allen-Cahn Equation. ICCS (4) 2022: 271-283 - [i3]Zixun Lan, Ye Ma, Limin Yu, Linglong Yuan, Fei Ma:
AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching. CoRR abs/2211.04033 (2022) - 2021
- [c26]Tongpo Zhang, Wuyan Zhao, Xu Zhu, Enggee Lim, Fei Ma, Limin Yu:
Design of Multi-AGV System with Tracking, Collision Avoidance and Coordination. ACAI 2021: 3:1-3:7 - [c25]Yuyang Lin, Qiyin Zhong, Qi Huang, Muyang Li, Fei Ma:
A new convolutional neural network and long short term memory combined model for stock index prediction. CISP-BMEI 2021: 1-6 - [c24]Sifan Song, Daiyun Huang, Yalun Hu, Chunxiao Yang, Jia Meng, Fei Ma, Frans Coenen, Jiaming Zhang, Jionglong Su:
A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. CISP-BMEI 2021: 1-9 - [c23]Tongpo Zhang, Chenyuan Li, Xu (Judy) Zhu, Enggee Lim, Fei Ma, Limin Yu:
A Multi-Robot Planning Algorithm with Quad Tree Map Division for Obstacles of Irregular Shape. DSIE 2021: 24-32 - [i2]Sifan Song, Daiyun Huang, Yalun Hu, Chunxiao Yang, Jia Meng, Fei Ma, Jiaming Zhang, Jionglong Su:
A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. CoRR abs/2103.02835 (2021) - [i1]Zixun Lan, Limin Yu, Linglong Yuan, Zili Wu, Qiang Niu, Fei Ma:
Sub-GMN: The Subgraph Matching Network Model. CoRR abs/2104.00186 (2021) - 2020
- [j6]Chengyu Wang, Limin Yu, Xu Zhu, Jionglong Su, Fei Ma:
Extended ResNet and Label Feature Vector Based Chromosome Classification. IEEE Access 8: 201098-201108 (2020) - [j5]Fei Ma, Limin Yu, Lishan Ye, David D. Yao, Weifen Zhuang:
Length-of-Stay Prediction for Pediatric Patients With Respiratory Diseases Using Decision Tree Methods. IEEE J. Biomed. Health Informatics 24(9): 2651-2662 (2020)
2010 – 2019
- 2019
- [c22]Chengyu Wang, Daiyun Huang, Jingwei Guo, Jionglong Su, Fei Ma, Limin Yu:
Re-Identification Based Automatic Matching and Annotation of Chromosome. CISP-BMEI 2019: 1-6 - [c21]Daoyuan Chen, Qinyi Liu, Xuanhao Yang, Xinyu Yu, Fei Ma, Jionglong Su:
Self-Adaptive Particle Filter Based Time Series Prediction of Online Retailer Daily Sale. CISP-BMEI 2019: 1-8 - [c20]Yuanbang Liang, Yunyu Jia, Jinglin Li, Meiyi Chen, Yifan Hu, Yinan Shi, Fei Ma:
Online Shop Daily Sale Prediction Using Adaptive Network-Based Fuzzy Inference System. CISP-BMEI 2019: 1-6 - [c19]Yuyang Lin, Muyang Li, Sirui Chen, Limin Yu, Fei Ma:
Nipple Detection in Mammogram Using a New Convolutional Neural Network Architecture. CISP-BMEI 2019: 1-6 - 2018
- [c18]Xueye Ping, Qinyi Chen, Guoquan Liu, Jionglong Su, Fei Ma:
Particle Filter Based Time Series Prediction of Daily Sales of an Online Retailer. CISP-BMEI 2018: 1-6 - [c17]Wenbo Zhang, Sifan Song, Tianming Bai, Yanxin Zhao, Fei Ma, Jionglong Su, Limin Yu:
Chromosome Classification with Convolutional Neural Network Based Deep Learning. CISP-BMEI 2018: 1-5 - 2017
- [c16]Chenguang Wang, Xueling Dong, Limin Yu, Lishan Ye, Weifen Zhuang, Fei Ma:
Prediction of days in hospital for children using random forest. CISP-BMEI 2017: 1-6 - [c15]Jiaxuan Wu, Qing Fang, Yangying Xu, Jionglong Su, Fei Ma:
Kalman filter based time series prediction of cake factory daily sale. CISP-BMEI 2017: 1-7 - 2016
- [j4]Ruirui Wang, Qiang Niu, Fei Ma, Linzhang Lu:
Spectral properties of a class of matrix splitting preconditioners for saddle point problems. J. Comput. Appl. Math. 298: 138-151 (2016) - [c14]Jingwei Guo, Yikang Yang, Qingwei Wu, Jionglong Su, Fei Ma:
Adaptive active contour model based automatic tongue image segmentation. CISP-BMEI 2016: 1386-1390 - 2015
- [j3]Fei Ma, Limin Yu, Gang Liu, Qiang Niu:
Computer aided mass detection in mammography with temporal change analysis. Comput. Sci. Inf. Syst. 12(4): 1255-1272 (2015) - [j2]Fei Ma, Limin Yu, Mariusz Bajger, Murk J. Bottema:
Incorporation of fuzzy spatial relation in temporal mammogram registration. Fuzzy Sets Syst. 279: 87-100 (2015) - [c13]Fei Ma, Limin Yu, Mariusz Bajger, Murk J. Bottema:
Mammogram Mass Classification with Temporal Features and Multiple Kernel Learning. DICTA 2015: 1-7 - 2014
- [c12]Fei Ma, Limin Yu, Gang Liu, Qiang Niu:
Temporal change analysis for computer aided mass detection in mammography. BMEI 2014: 253-258 - 2010
- [c11]Mariusz Bajger, Fei Ma, Simon Williams, Murk J. Bottema:
Mammographic Mass Detection with Statistical Region Merging. DICTA 2010: 27-32 - [c10]Fei Ma, Mariusz Bajger, Simon Williams, Murk J. Bottema:
Improved Detection of Cancer in Screening Mammograms by Temporal Comparison. Digital Mammography / IWDM 2010: 752-759
2000 – 2009
- 2009
- [c9]Fei Ma, Mariusz Bajger, Murk J. Bottema:
Automatic Mass Segmentation Based on Adaptive Pyramid and Sublevel Set Analysis. DICTA 2009: 236-241 - [c8]Mariusz Bajger, Fei Ma, Murk J. Bottema:
Automatic Tuning of MST Segmentation of Mammograms for Registration and Mass Detection Algorithms. DICTA 2009: 400-407 - 2008
- [c7]Hirotaka Susukida, Fei Ma, Mariusz Bajger:
Automatic tuning of a graph-based image segmentation method for digital mammography applications. ISBI 2008: 89-92 - [c6]Fei Ma, Mariusz Bajger, Murk J. Bottema:
Temporal Analysis of Mammograms Based on Graph Matching. Digital Mammography / IWDM 2008: 158-165 - [c5]Fei Ma, Mariusz Bajger, Murk J. Bottema:
A graph matching based automatic regional registration method for sequential mammogram analysis. Computer-Aided Diagnosis 2008: 69151Z - 2007
- [j1]Fei Ma, Mariusz Bajger, John P. Slavotinek, Murk J. Bottema:
Two graph theory based methods for identifying the pectoral muscle in mammograms. Pattern Recognit. 40(9): 2592-2602 (2007) - [c4]Limin Yu, Fei Ma, Aruna Jayasuriya, Marc Sigelle, Sylvie Perreau:
A New Contour Detection Approach in Mammogram Using Rational Wavelet Filtering and MRF Smoothing. DICTA 2007: 106-111 - [c3]Fei Ma, Mariusz Bajger, Murk J. Bottema:
Robustness of Two Methods for Segmenting Salient Features in Screening Mammograms. DICTA 2007: 112-117 - 2006
- [c2]Fei Ma, Mariusz Bajger, John P. Slavotinek, Murk J. Bottema:
Validation of Graph Theoretic Segmentation of the Pectoral Muscle. Digital Mammography / IWDM 2006: 642-649 - 2005
- [c1]Mariusz Bajger, Fei Ma, Murk J. Bottema:
Minimum Spanning Trees and Active Contours for Identification of the Pectoral Muscle in Screening Mammograms. DICTA 2005: 47
Coauthor Index
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