Minimum Spanning Trees and Active Contours for Identification of the Pectoral Muscle in Screening Mammograms. - Mariusz Bajger; Fei Ma 002; Murk J. Bottema (DICTA, 2005)

Validation of Graph Theoretic Segmentation of the Pectoral Muscle. - Fei Ma 002; Mariusz Bajger; John P. Slavotinek; Murk J. Bottema (Digital Mammography / IWDM, 2006)

Robustness of Two Methods for Segmenting Salient Features in Screening Mammograms. - Fei Ma 002; Mariusz Bajger; Murk J. Bottema (DICTA, 2007)

A New Contour Detection Approach in Mammogram Using Rational Wavelet Filtering and MRF Smoothing. - Limin Yu; Fei Ma 002; Aruna Jayasuriya; Marc Sigelle; Sylvie Perreau (DICTA, 2007)

Two graph theory based methods for identifying the pectoral muscle in mammograms. - Fei Ma 002; Mariusz Bajger; John P. Slavotinek; Murk J. Bottema (Pattern Recognit., 2007)

Automatic tuning of a graph-based image segmentation method for digital mammography applications. - Hirotaka Susukida; Fei Ma 002; Mariusz Bajger (ISBI, 2008)

Temporal Analysis of Mammograms Based on Graph Matching. - Fei Ma 002; Mariusz Bajger; Murk J. Bottema (Digital Mammography / IWDM, 2008)

A graph matching based automatic regional registration method for sequential mammogram analysis. - Fei Ma 002; Mariusz Bajger; Murk J. Bottema (Computer-Aided Diagnosis, 2008)

Automatic Tuning of MST Segmentation of Mammograms for Registration and Mass Detection Algorithms. - Mariusz Bajger; Fei Ma 002; Murk J. Bottema (DICTA, 2009)

Automatic Mass Segmentation Based on Adaptive Pyramid and Sublevel Set Analysis. - Fei Ma 002; Mariusz Bajger; Murk J. Bottema (DICTA, 2009)

Mammographic Mass Detection with Statistical Region Merging. - Mariusz Bajger; Fei Ma 002; Simon Williams; Murk J. Bottema (DICTA, 2010)

Improved Detection of Cancer in Screening Mammograms by Temporal Comparison. - Fei Ma 002; Mariusz Bajger; Simon Williams; Murk J. Bottema (Digital Mammography / IWDM, 2010)

Temporal change analysis for computer aided mass detection in mammography. - Fei Ma 002; Limin Yu; Gang Liu; Qiang Niu (BMEI, 2014)

Mammogram Mass Classification with Temporal Features and Multiple Kernel Learning. - Fei Ma 002; Limin Yu; Mariusz Bajger; Murk J. Bottema (DICTA, 2015)

Computer aided mass detection in mammography with temporal change analysis. - Fei Ma 002; Limin Yu; Gang Liu; Qiang Niu (Comput. Sci. Inf. Syst., 2015)

Incorporation of fuzzy spatial relation in temporal mammogram registration. - Fei Ma 002; Limin Yu; Mariusz Bajger; Murk J. Bottema (Fuzzy Sets Syst., 2015)

Adaptive active contour model based automatic tongue image segmentation. - Jingwei Guo 001; Yikang Yang; Qingwei Wu; Jionglong Su; Fei Ma 002 (CISP-BMEI, 2016)

Spectral properties of a class of matrix splitting preconditioners for saddle point problems. - Ruirui Wang; Qiang Niu; Fei Ma 002; Linzhang Lu (J. Comput. Appl. Math., 2016)

Prediction of days in hospital for children using random forest. - Chenguang Wang; Xueling Dong; Limin Yu; Lishan Ye; Weifen Zhuang; Fei Ma 002 (CISP-BMEI, 2017)

Kalman filter based time series prediction of cake factory daily sale. - Jiaxuan Wu; Qing Fang; Yangying Xu; Jionglong Su; Fei Ma 002 (CISP-BMEI, 2017)

Particle Filter Based Time Series Prediction of Daily Sales of an Online Retailer. - Xueye Ping; Qinyi Chen; Guoquan Liu; Jionglong Su; Fei Ma 002 (CISP-BMEI, 2018)

Chromosome Classification with Convolutional Neural Network Based Deep Learning. - Wenbo Zhang 010; Sifan Song; Tianming Bai; Yanxin Zhao; Fei Ma 002; Jionglong Su; Limin Yu (CISP-BMEI, 2018)

Re-Identification Based Automatic Matching and Annotation of Chromosome. - Chengyu Wang 005; Daiyun Huang; Jingwei Guo 001; Jionglong Su; Fei Ma 002; Limin Yu (CISP-BMEI, 2019)

Self-Adaptive Particle Filter Based Time Series Prediction of Online Retailer Daily Sale. - Daoyuan Chen; Qinyi Liu; Xuanhao Yang; Xinyu Yu; Fei Ma 002; Jionglong Su (CISP-BMEI, 2019)

Online Shop Daily Sale Prediction Using Adaptive Network-Based Fuzzy Inference System. - Yuanbang Liang; Yunyu Jia; Jinglin Li; Meiyi Chen; Yifan Hu; Yinan Shi; Fei Ma 002 (CISP-BMEI, 2019)

Nipple Detection in Mammogram Using a New Convolutional Neural Network Architecture. - Yuyang Lin; Muyang Li; Sirui Chen; Limin Yu; Fei Ma 002 (CISP-BMEI, 2019)

Extended ResNet and Label Feature Vector Based Chromosome Classification. - Chengyu Wang 005; Limin Yu; Xu Zhu 001; Jionglong Su; Fei Ma 002 (IEEE Access, 2020)

Length-of-Stay Prediction for Pediatric Patients With Respiratory Diseases Using Decision Tree Methods. - Fei Ma 002; Limin Yu; Lishan Ye; David D. Yao; Weifen Zhuang (IEEE J. Biomed. Health Informatics, 2020)

Design of Multi-AGV System with Tracking, Collision Avoidance and Coordination. - Tongpo Zhang; Wuyan Zhao; Xu Zhu 001; Enggee Lim; Fei Ma 002; Limin Yu (ACAI, 2021)

A new convolutional neural network and long short term memory combined model for stock index prediction. - Yuyang Lin; Qiyin Zhong; Qi Huang; Muyang Li; Fei Ma 002 (CISP-BMEI, 2021)

A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. - Sifan Song; Daiyun Huang; Yalun Hu; Chunxiao Yang; Jia Meng 001; Fei Ma 002; Frans Coenen; Jiaming Zhang 005; Jionglong Su (CISP-BMEI, 2021)

A Multi-Robot Planning Algorithm with Quad Tree Map Division for Obstacles of Irregular Shape. - Tongpo Zhang; Chenyuan Li; Xu (Judy) Zhu; Enggee Lim; Fei Ma 002; Limin Yu (DSIE, 2021)

A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. - Sifan Song; Daiyun Huang; Yalun Hu; Chunxiao Yang; Jia Meng 001; Fei Ma 002; Jiaming Zhang 005; Jionglong Su (CoRR, 2021)

Sub-GMN: The Subgraph Matching Network Model. - Zixun Lan; Limin Yu; Linglong Yuan; Zili Wu; Qiang Niu; Fei Ma 002 (CoRR, 2021)

Big data encrypting transmission framework for a multi-AGV system. - Tongpo Zhang; Yuxin Wan; Miguel López-Benítez; Enggee Lim; Fei Ma 002; Limin Yu (CyberC, 2022)

XGBoost Prediction of Infection of Leukemia Patients with Fever of Unknown Origin. - Yan Li; Yanhui Song; Fei Ma 002 (ICBIP, 2022)

Adaptive Deep Learning Approximation for Allen-Cahn Equation. - Huiying Xu; Jie Chen 029; Fei Ma 002 (ICCS (4), 2022)

A Review of Wavelet Analysis and Its Applications: Challenges and Opportunities. - Tiantian Guo; Tongpo Zhang; Enggee Lim; Miguel López-Benítez; Fei Ma 002; Limin Yu (IEEE Access, 2022)

A New Convolutional Neural Network Architecture for Automatic Segmentation of Overlapping Human Chromosomes. - Sifan Song; Tianming Bai; Yanxin Zhao; Wenbo Zhang 010; Chunxiao Yang; Jia Meng 001; Fei Ma 002; Jionglong Su (Neural Process. Lett., 2022)

Improved Camshift Algorithm in AGV Vision-based Tracking with Edge Computing. - Tongpo Zhang; Xiaokai Nie; Xu Zhu 001; Enggee Lim; Fei Ma 002; Limin Yu (J. Supercomput., 2022)

Sub-GMN: The Neural Subgraph Matching Network Model. - Zixun Lan; Limin Yu; Linglong Yuan; Zili Wu; Qiang Niu; Fei Ma 002 (CISP-BMEI, 2023)

A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling. - Abouzar Choubineh; Jie Chen 029; Frans Coenen; Fei Ma 002 (J. Comput. Inf. Sci. Eng., 2023)

AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching. - Zixun Lan; Ye Ma; Limin Yu; Linglong Yuan; Fei Ma 002 (Pattern Recognit., 2023)

Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset. - Abouzar Choubineh; Jie Chen 029; David A. Wood 003; Frans Coenen; Fei Ma 002 (Algorithms, 2023)

Down Syndrome detection with Swin Transformer architecture. - Chengyu Wang 005; Limin Yu; Jionglong Su; Trevor Mahy; Valerio Selis; Chunxiao Yang; Fei Ma 002 (Biomed. Signal Process. Control., 2023)

Deep ensemble learning for high-dimensional subsurface fluid flow modeling. - Abouzar Choubineh; Jie Chen 029; David A. Wood 003; Frans Coenen; Fei Ma 002 (Eng. Appl. Artif. Intell., 2023)

Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation. - Wangyu Wu; Tianhong Dai; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (ICASSP, 2024)

Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation. - Wangyu Wu; Tianhong Dai; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (SMC, 2024)

Fully Automatic Karyotyping via Deep Convolutional Neural Networks. - Chengyu Wang 005; Limin Yu; Jionglong Su; Juming Shen; Valerio Selis; Chunxiao Yang; Fei Ma 002 (IEEE Access, 2024)

Retrosynthesis Prediction via Search in (Hyper) Graph. - Zixun Lan; Binjie Hong; Jiajun Zhu; Zuo Zeng; Zhenfu Liu; Limin Yu; Fei Ma 002 (CoRR, 2024)

APC: Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation. - Wangyu Wu; Tianhong Dai; Zhenhong Chen; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (CoRR, 2024)

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation. - Wangyu Wu; Xianglin Qiu; Siqi Song; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (CoRR, 2024)

Image Augmentation Agent for Weakly Supervised Semantic Segmentation. - Wangyu Wu; Xianglin Qiu; Siqi Song; Zhenhong Chen; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (CoRR, 2024)

RCsearcher: Reaction center identification in retrosynthesis via deep Q-learning. - Zixun Lan; Zuo Zeng; Binjie Hong; Zhenfu Liu; Fei Ma 002 (Pattern Recognit., 2024)

More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference. - Zixun Lan; Binjie Hong; Ye Ma; Fei Ma 002 (IEEE Trans. Knowl. Data Eng., 2024)

Prompt Categories Cluster for Weakly Supervised Semantic Segmentation. - Wangyu Wu; Xianglin Qiu; Siqi Song; Zhenhong Chen; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (CVPR Workshops, 2025)

Image Fusion for Cross-Domain Sequential Recommendation. - Wangyu Wu; Siqi Song; Xianglin Qiu; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (WWW (Companion Volume), 2025)

Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation. - Wangyu Wu; Tianhong Dai; Zhenhong Chen; Xiaowei Huang 001; Jimin Xiao; Fei Ma 002; Renrong Ouyang (Eng. Appl. Artif. Intell., 2025)

Generative Prompt Controlled Diffusion for weakly supervised semantic segmentation. - Wangyu Wu; Tianhong Dai; Zhenhong Chen; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (Neurocomputing, 2025)

Semi-template framework for retrosynthesis prediction using graph neural network. - Zongao Ye; Limin Yu; Fei Ma 002 (Pattern Recognit., 2025)

Retrosynthesis Prediction via Search in (Hyper) Graph. - Zixun Lan; Binjie Hong; Maochun Xu; Zuo Zeng; Zhenfu Liu; Limin Yu; Fei Ma 002 (IEEE Trans Autom. Sci. Eng., 2025)

Hierarchical Attention Fusion of Visual and Textual Representations for Cross-Domain Sequential Recommendation. - Wangyu Wu; Zhenhong Chen; Siqi Song; Xianglin Qiu; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (CoRR, 2025)

LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation. - Wangyu Wu; Zhenhong Chen; Xianglin Qiu; Siqi Song; Xiaowei Huang 001; Fei Ma 002; Jimin Xiao (CoRR, 2025)