Fei Ma - RankMe

74 papers B 2Misc 8Journal 39Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Communication Outage-Resistant UUV State Estimation: A Variational History Distillation Approach. CoRR Shuyue Li, Miguel López-Benítez, Eng Gee Lim, Fei Ma, Qian Dong, Mengze Cao, Limin Yu, Xiaohui Qin
2026	J	`jnl`	Contrastive prompt clustering for weakly supervised semantic segmentation. Expert Syst. Appl. Wangyu Wu, Zhenhong Chen, Xiaowen Ma, Wenqiao Zhang, Xianglin Qiu, Siqi Song, Xiaowei Huang, Fei Ma, Jimin Xiao
2026	J	`jnl`	Tag-Enriched Multi-Attention With Large Language Models for Cross-Domain Sequential Recommendation. IEEE Trans. Consumer Electron. Wangyu Wu, Xuhang Chen, Zhenhong Chen, Jing-En Jiang, Kim-Fung Tsang, Xiaowei Huang, Fei Ma, Jimin Xiao
2025	J	`jnl`	Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation. Eng. Appl. Artif. Intell. Wangyu Wu, Tianhong Dai, Zhenhong Chen, Xiaowei Huang, Jimin Xiao, Fei Ma, Renrong Ouyang
2025	B	`conf`	Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation. CogSci Wangyu Wu, Zhenhong Chen, Siqi Song, Xianglin Qiu, Xiaowei Huang, Fei Ma, Jimin Xiao
2025	J	`jnl`	Contrastive Prompt Clustering for Weakly Supervised Semantic Segmentation. CoRR Wangyu Wu, Zhenhong Chen, Xiaowen Ma, Wenqiao Zhang, Xianglin Qiu, Siqi Song, Xiaowei Huang, Fei Ma, Jimin Xiao
2025	J	`jnl`	Generative Prompt Controlled Diffusion for weakly supervised semantic segmentation. Neurocomputing Wangyu Wu, Tianhong Dai, Zhenhong Chen, Xiaowei Huang, Fei Ma, Jimin Xiao
2025	J	`jnl`	Hierarchical Attention Fusion of Visual and Textual Representations for Cross-Domain Sequential Recommendation. CoRR Wangyu Wu, Zhenhong Chen, Siqi Song, Xianglin Qiu, Xiaowei Huang, Fei Ma, Jimin Xiao
2025	—	`conf`	Image Fusion for Cross-Domain Sequential Recommendation. WWW (Companion Volume) Wangyu Wu, Siqi Song, Xianglin Qiu, Xiaowei Huang, Fei Ma, Jimin Xiao
2025	J	`jnl`	Image Fusion for Cross-Domain Sequential Recommendation. CoRR Wangyu Wu, Siqi Song, Xianglin Qiu, Xiaowei Huang, Fei Ma, Jimin Xiao
2025	J	`jnl`	LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation. CoRR Wangyu Wu, Zhenhong Chen, Xianglin Qiu, Siqi Song, Xiaowei Huang, Fei Ma, Jimin Xiao
2025	—	`conf`	Prompt Categories Cluster for Weakly Supervised Semantic Segmentation. CVPR Workshops Wangyu Wu, Xianglin Qiu, Siqi Song, Zhenhong Chen, Xiaowei Huang, Fei Ma, Jimin Xiao
2025	J	`jnl`	Retrosynthesis Prediction via Search in (Hyper) Graph. IEEE Trans Autom. Sci. Eng. Zixun Lan, Binjie Hong, Maochun Xu, Zuo Zeng, Zhenfu Liu, Limin Yu, Fei Ma
2025	J	`jnl`	Semi-template framework for retrosynthesis prediction using graph neural network. Pattern Recognit. Zongao Ye, Limin Yu, Fei Ma
2025	J	`jnl`	SynthSeg-Agents: Multi-Agent Synthetic Data Generation for Zero-Shot Weakly Supervised Semantic Segmentation. CoRR Wangyu Wu, Zhenhong Chen, Xiaowei Huang, Fei Ma, Jimin Xiao
2025	J	`jnl`	Tag-Enriched Multi-Attention with Large Language Models for Cross-Domain Sequential Recommendation. CoRR Wangyu Wu, Xuhang Chen, Zhenhong Chen, Jing-En Jiang, Kim-Fung Tsang, Xiaowei Huang, Fei Ma, Jimin Xiao
2024	J	`jnl`	APC: Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation. CoRR Wangyu Wu, Tianhong Dai, Zhenhong Chen, Xiaowei Huang, Fei Ma, Jimin Xiao
2024	J	`jnl`	Fully Automatic Karyotyping via Deep Convolutional Neural Networks. IEEE Access Chengyu Wang, Limin Yu, Jionglong Su, Juming Shen, Valerio Selis, Chunxiao Yang, Fei Ma
2024	J	`jnl`	Image Augmentation Agent for Weakly Supervised Semantic Segmentation. CoRR Wangyu Wu, Xianglin Qiu, Siqi Song, Zhenhong Chen, Xiaowei Huang, Fei Ma, Jimin Xiao
2024	Misc	`conf`	Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation. ICASSP Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao
2024	J	`jnl`	More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference. IEEE Trans. Knowl. Data Eng. Zixun Lan, Binjie Hong, Ye Ma, Fei Ma
2024	J	`jnl`	Prompt Categories Cluster for Weakly Supervised Semantic Segmentation. CoRR Wangyu Wu, Xianglin Qiu, Siqi Song, Xiaowei Huang, Fei Ma, Jimin Xiao
2024	J	`jnl`	RCsearcher: Reaction center identification in retrosynthesis via deep Q-learning. Pattern Recognit. Zixun Lan, Zuo Zeng, Binjie Hong, Zhenfu Liu, Fei Ma
2024	J	`jnl`	Retrosynthesis Prediction via Search in (Hyper) Graph. CoRR Zixun Lan, Binjie Hong, Jiajun Zhu, Zuo Zeng, Zhenfu Liu, Limin Yu, Fei Ma
2024	B	`conf`	Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation. SMC Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao
2023	J	`jnl`	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. Abouzar Choubineh, Jie Chen, Frans Coenen, Fei Ma
2023	J	`jnl`	AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching. Pattern Recognit. Zixun Lan, Ye Ma, Limin Yu, Linglong Yuan, Fei Ma
2023	J	`jnl`	Deep ensemble learning for high-dimensional subsurface fluid flow modeling. Eng. Appl. Artif. Intell. Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen, Fei Ma
2023	J	`jnl`	Down Syndrome detection with Swin Transformer architecture. Biomed. Signal Process. Control. Chengyu Wang, Limin Yu, Jionglong Su, Trevor Mahy, Valerio Selis, Chunxiao Yang, Fei Ma
2023	J	`jnl`	Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset. Algorithms Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen, Fei Ma
2023	J	`jnl`	Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation. CoRR Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao
2023	—	`conf`	Sub-GMN: The Neural Subgraph Matching Network Model. CISP-BMEI Zixun Lan, Limin Yu, Linglong Yuan, Zili Wu, Qiang Niu, Fei Ma
2023	J	`jnl`	Top-K Pooling with Patch Contrastive Learning for Weakly-Supervised Semantic Segmentation. CoRR Wangyu Wu, Tianhong Dai, Xiaowei Huang, Fei Ma, Jimin Xiao
2022	J	`jnl`	A New Convolutional Neural Network Architecture for Automatic Segmentation of Overlapping Human Chromosomes. Neural Process. Lett. Sifan Song, Tianming Bai, Yanxin Zhao, Wenbo Zhang, Chunxiao Yang, Jia Meng, Fei Ma, Jionglong Su
2022	J	`jnl`	A Review of Wavelet Analysis and Its Applications: Challenges and Opportunities. IEEE Access Tiantian Guo, Tongpo Zhang, Enggee Lim, Miguel López-Benítez, Fei Ma, Limin Yu
2022	J	`jnl`	AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching. CoRR Zixun Lan, Ye Ma, Limin Yu, Linglong Yuan, Fei Ma
2022	—	`conf`	Adaptive Deep Learning Approximation for Allen-Cahn Equation. ICCS (4) Huiying Xu, Jie Chen, Fei Ma
2022	—	`conf`	Big data encrypting transmission framework for a multi-AGV system. CyberC Tongpo Zhang, Yuxin Wan, Miguel López-Benítez, Enggee Lim, Fei Ma, Limin Yu
2022	J	`jnl`	Improved Camshift Algorithm in AGV Vision-based Tracking with Edge Computing. J. Supercomput. Tongpo Zhang, Xiaokai Nie, Xu Zhu, Enggee Lim, Fei Ma, Limin Yu
2022	—	`conf`	XGBoost Prediction of Infection of Leukemia Patients with Fever of Unknown Origin. ICBIP Yan Li, Yanhui Song, Fei Ma
2021	—	`conf`	A Multi-Robot Planning Algorithm with Quad Tree Map Division for Obstacles of Irregular Shape. DSIE Tongpo Zhang, Chenyuan Li, Xu (Judy) Zhu, Enggee Lim, Fei Ma, Limin Yu
2021	—	`conf`	A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. CISP-BMEI Sifan Song, Daiyun Huang, Yalun Hu, Chunxiao Yang, Jia Meng, Fei Ma, Frans Coenen, Jiaming Zhang, Jionglong Su
2021	J	`jnl`	A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. CoRR Sifan Song, Daiyun Huang, Yalun Hu, Chunxiao Yang, Jia Meng, Fei Ma, Jiaming Zhang, Jionglong Su
2021	—	`conf`	A new convolutional neural network and long short term memory combined model for stock index prediction. CISP-BMEI Yuyang Lin, Qiyin Zhong, Qi Huang, Muyang Li, Fei Ma
2021	—	`conf`	Design of Multi-AGV System with Tracking, Collision Avoidance and Coordination. ACAI Tongpo Zhang, Wuyan Zhao, Xu Zhu, Enggee Lim, Fei Ma, Limin Yu
2021	J	`jnl`	Sub-GMN: The Subgraph Matching Network Model. CoRR Zixun Lan, Limin Yu, Linglong Yuan, Zili Wu, Qiang Niu, Fei Ma
2020	J	`jnl`	Extended ResNet and Label Feature Vector Based Chromosome Classification. IEEE Access Chengyu Wang, Limin Yu, Xu Zhu, Jionglong Su, Fei Ma
2020	J	`jnl`	Length-of-Stay Prediction for Pediatric Patients With Respiratory Diseases Using Decision Tree Methods. IEEE J. Biomed. Health Informatics Fei Ma, Limin Yu, Lishan Ye, David D. Yao, Weifen Zhuang
2019	—	`conf`	Nipple Detection in Mammogram Using a New Convolutional Neural Network Architecture. CISP-BMEI Yuyang Lin, Muyang Li, Sirui Chen, Limin Yu, Fei Ma
2019	—	`conf`	Online Shop Daily Sale Prediction Using Adaptive Network-Based Fuzzy Inference System. CISP-BMEI Yuanbang Liang, Yunyu Jia, Jinglin Li, Meiyi Chen, Yifan Hu, Yinan Shi, Fei Ma
2019	—	`conf`	Re-Identification Based Automatic Matching and Annotation of Chromosome. CISP-BMEI Chengyu Wang, Daiyun Huang, Jingwei Guo, Jionglong Su, Fei Ma, Limin Yu
2019	—	`conf`	Self-Adaptive Particle Filter Based Time Series Prediction of Online Retailer Daily Sale. CISP-BMEI Daoyuan Chen, Qinyi Liu, Xuanhao Yang, Xinyu Yu, Fei Ma, Jionglong Su
2018	—	`conf`	Chromosome Classification with Convolutional Neural Network Based Deep Learning. CISP-BMEI Wenbo Zhang, Sifan Song, Tianming Bai, Yanxin Zhao, Fei Ma, Jionglong Su, Limin Yu
2018	—	`conf`	Particle Filter Based Time Series Prediction of Daily Sales of an Online Retailer. CISP-BMEI Xueye Ping, Qinyi Chen, Guoquan Liu, Jionglong Su, Fei Ma
2017	—	`conf`	Kalman filter based time series prediction of cake factory daily sale. CISP-BMEI Jiaxuan Wu, Qing Fang, Yangying Xu, Jionglong Su, Fei Ma
2017	—	`conf`	Prediction of days in hospital for children using random forest. CISP-BMEI Chenguang Wang, Xueling Dong, Limin Yu, Lishan Ye, Weifen Zhuang, Fei Ma
2016	—	`conf`	Adaptive active contour model based automatic tongue image segmentation. CISP-BMEI Jingwei Guo, Yikang Yang, Qingwei Wu, Jionglong Su, Fei Ma
2016	J	`jnl`	Spectral properties of a class of matrix splitting preconditioners for saddle point problems. J. Comput. Appl. Math. Ruirui Wang, Qiang Niu, Fei Ma, Linzhang Lu
2015	J	`jnl`	Computer aided mass detection in mammography with temporal change analysis. Comput. Sci. Inf. Syst. Fei Ma, Limin Yu, Gang Liu, Qiang Niu
2015	J	`jnl`	Incorporation of fuzzy spatial relation in temporal mammogram registration. Fuzzy Sets Syst. Fei Ma, Limin Yu, Mariusz Bajger, Murk J. Bottema
2015	Misc	`conf`	Mammogram Mass Classification with Temporal Features and Multiple Kernel Learning. DICTA Fei Ma, Limin Yu, Mariusz Bajger, Murk J. Bottema
2014	—	`conf`	Temporal change analysis for computer aided mass detection in mammography. BMEI Fei Ma, Limin Yu, Gang Liu, Qiang Niu
2010	—	`conf`	Improved Detection of Cancer in Screening Mammograms by Temporal Comparison. Digital Mammography / IWDM Fei Ma, Mariusz Bajger, Simon Williams, Murk J. Bottema
2010	Misc	`conf`	Mammographic Mass Detection with Statistical Region Merging. DICTA Mariusz Bajger, Fei Ma, Simon Williams, Murk J. Bottema
2009	Misc	`conf`	Automatic Mass Segmentation Based on Adaptive Pyramid and Sublevel Set Analysis. DICTA Fei Ma, Mariusz Bajger, Murk J. Bottema
2009	Misc	`conf`	Automatic Tuning of MST Segmentation of Mammograms for Registration and Mass Detection Algorithms. DICTA Mariusz Bajger, Fei Ma, Murk J. Bottema
2008	—	`conf`	A graph matching based automatic regional registration method for sequential mammogram analysis. Computer-Aided Diagnosis Fei Ma, Mariusz Bajger, Murk J. Bottema
2008	—	`conf`	Automatic tuning of a graph-based image segmentation method for digital mammography applications. ISBI Hirotaka Susukida, Fei Ma, Mariusz Bajger
2008	—	`conf`	Temporal Analysis of Mammograms Based on Graph Matching. Digital Mammography / IWDM Fei Ma, Mariusz Bajger, Murk J. Bottema
2007	Misc	`conf`	A New Contour Detection Approach in Mammogram Using Rational Wavelet Filtering and MRF Smoothing. DICTA Limin Yu, Fei Ma, Aruna Jayasuriya, Marc Sigelle, Sylvie Perreau
2007	Misc	`conf`	Robustness of Two Methods for Segmenting Salient Features in Screening Mammograms. DICTA Fei Ma, Mariusz Bajger, Murk J. Bottema
2007	J	`jnl`	Two graph theory based methods for identifying the pectoral muscle in mammograms. Pattern Recognit. Fei Ma, Mariusz Bajger, John P. Slavotinek, Murk J. Bottema
2006	—	`conf`	Validation of Graph Theoretic Segmentation of the Pectoral Muscle. Digital Mammography / IWDM Fei Ma, Mariusz Bajger, John P. Slavotinek, Murk J. Bottema
2005	Misc	`conf`	Minimum Spanning Trees and Active Contours for Identification of the Pectoral Muscle in Screening Mammograms. DICTA Mariusz Bajger, Fei Ma, Murk J. Bottema