Mengling Feng

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 50

Top Topics

Convolutional Neural Network

Fourier Coefficients

Intensive Care Units

Electronic Health Records

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng
An evidential time-to-event prediction model based on Gaussian random fuzzy numbers. CoRR (2024)
Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. ICLR (2024)
Young Seok Jeon, Hongfei Yang, Mengling Feng
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Young Seok Jeon, Hongfei Yang, Huazhu Fu, Mengling Feng
AIC-UNet: Anatomy-informed Cascaded UNet for Robust Multi-Organ Segmentation. CoRR (2024)
Ruixi Li, Zenglin Xu, Jing Xu, Xinglin Pan, Hong Wu, Xiaobo Huang, Mengling Feng
Predicting intubation for intensive care units patients: A deep learning approach to improve patient management. Int. J. Medical Informatics 186 (2024)
Shenda Hong, Daoxin Yin, Gongzheng Tang, Tianfan Fu, Liantao Ma, Junyi Gao, Mengling Feng, Mai Wang, Yu Yang, Fei Wang, Hongfang Liu, Luxia Zhang
Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare. KDD (2024)
Jingru Lin, Meng Ge, Wupeng Wang, Haizhou Li, Mengling Feng
Selective HuBERT: Self-Supervised Pre-Training for Target Speaker in Clean and Mixture Speech. IEEE Signal Process. Lett. 31 (2024)
Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng
A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods. Medical Image Anal. 97 (2024)
Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng
An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers. BELIEF (2024)
Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi
Avoiding Feature Suppression in Contrastive Learning: Learning What Has Not Been Learned Before. CoRR (2024)
Yucheng Ruan, Ling Huang, Qianyi Xu, Mengling Feng
An Evidence-Based Framework For Heterogeneous Electronic Health Records: A Case Study In Mortality Prediction. BELIEF (2024)
Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. CoRR (2023)
Yucheng Ruan, Xiang Lan, Daniel J. Tan, Hairil Rizal Abdullah, Mengling Feng
Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts. CoRR (2023)
Meng Ge, Yizhou Peng, Yidi Jiang, Jingru Lin, Junyi Ao, Mehmet Sinan Yildirim, Shuai Wang, Haizhou Li, Mengling Feng
The NUS-HLT System for ICASSP2024 ICMC-ASR Grand Challenge. CoRR (2023)
Yeshe M. Kway, Kashthuri Thirumurugan, Navin Michael, Kok Hian Tan, Keith M. Godfrey, Peter D. Gluckman, Yap-Seng Chong, Kavita Venkataraman, Eric Yin Hao Khoo, Chin Meng Khoo, Melvin Khee-Shing Leow, E. Shyong Tai, Jerry KY. Chan, Shiao-Yng Chan, Johan G. Eriksson, Marielle V. Fortier, Yung Seng Lee, S. Sendhil Velan, Mengling Feng, Suresh Anand Sadananthan
A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRI. Comput. Biol. Medicine 167 (2023)
Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods. CoRR (2023)
Hao Du, Melissa Min-Szu Yao, Siqi Liu, Liangyu Chen, Wing P. Chan, Mengling Feng
Automatic Calcification Morphology and Distribution Classification for Breast Mammograms With Multi-Task Graph Convolutional Neural Network. IEEE J. Biomed. Health Informatics 27 (8) (2023)
Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics. CoRR (2023)
Dilruk Perera, Siqi Liu, Mengling Feng
Demystifying Complex Treatment Recommendations: A Hierarchical Cooperative Multi-Agent RL Approach. IJCNN (2023)
Feng Xie, Han Yuan, Yilin Ning, Marcus Eng Hock Ong, Mengling Feng, Wynne Hsu, Bibhas Chakraborty, Nan Liu
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. J. Biomed. Informatics 126 (2022)
Yee Liang Thian, Dian Wen Ng, James Thomas Patrick Decourcy Hallinan, Pooja Jagmohan, Soon Yiew Sia, Jalila Sayed Adnan Mohamed, Swee Tian Quek, Mengling Feng
Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers. J. Digit. Imaging 35 (4) (2022)
Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng
Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. AAAI (2022)
Jiangeng Chang, Yucheng Ruan, Shaoze Cui, John Soong Tshon Yit, Mengling Feng
UFRC: A Unified Framework for Reliable COVID-19 Detection on Crowdsourced Cough Audio. CoRR (2022)
Young Seok Jeon, Hongfei Yang, Mengling Feng
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images. CoRR (2022)
Jiangeng Chang, Yucheng Ruan, Shaoze Cui, John Soong Tshon Yit, Mengling Feng
UFRC: A Unified Framework for Reliable COVID-19 Detection on Crowdsourced Cough Audio. EMBC (2022)
Huaxin Qiu, Shaoze Cui, Sutong Wang, Yanzhang Wang, Mengling Feng
A Clustering-Based Optimization Method for the Driving Cycle Construction: A Case Study in Fuzhou and Putian, China. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Trung Kien Dang, Xiang Lan, Jianshu Weng, Mengling Feng
Federated Learning for Electronic Health Records. ACM Trans. Intell. Syst. Technol. 13 (5) (2022)
Feng Xie, Han Yuan, Yilin Ning, Marcus Eng Hock Ong, Mengling Feng, Wynne Hsu, Bibhas Chakraborty, Nan Liu
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. CoRR (2021)
Young Seok Jeon, Kensuke Yoshino, Shigeo Hagiwara, Atsuya Watanabe, Swee Tian Quek, Hiroshi Yoshioka, Mengling Feng
Interpretable and Lightweight 3-D Deep Learning Model for Automated ACL Diagnosis. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Zhaowei Zhu, Xiang Lan, Tingting Zhao, Yangming Guo, Pipin Kojodjojo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Han Wang, Xingzhi Sun, Mengling Feng
Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function. CoRR (2021)
Selva Muthu Kumaran Sathappan, Young Seok Jeon, Trung Kien Dang, Su Chi Lim, Yi-Ming Shao, E. Shyong Tai, Mengling Feng
Transformation of Electronic Health Records and Questionnaire Data to OMOP CDM: A Feasibility Study Using SG_T2DM Dataset. Appl. Clin. Inform. 12 (4) (2021)
Xiang Lan, Dianwen Ng, Yi Liu, Jiongzhou Liu, Fan Xu, Cheng He, Mengling Feng
Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction. IJCNN (2021)
Jiangeng Chang, Shaoze Cui, Mengling Feng
DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual Network for the DiCOVA Challenge 2021. CoRR (2021)
Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals. CoRR (2021)
Hao Du, Melissa Min-Szu Yao, Liangyu Chen, Wing P. Chan, Mengling Feng
Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms. CoRR (2021)
Shreshth Saini, Young Seok Jeon, Mengling Feng
B-SegNet: branched-SegMentor network for skin lesion segmentation. CHIL (2021)
Wang Han, Wesley Yeung, Angeline Tung, Joey Tay Ai Meng, Davin Ryanputera, Mengling Feng, Shalini Arulanadam
An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning. CoRR (2020)
Zhaowei Zhu, Han Wang, Tingting Zhao, Yangming Guo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Xiang Lan, Xingzhi Sun, Mengling Feng
Classification of Cardiac Abnormalities From ECG Signals Using SE-ResNet. CinC (2020)
Zhuo Liu, Linong Ji, Xuehan Jiang, Wei Zhao, Xiyang Liao, Tingting Zhao, Siqi Liu, Xingzhi Sun, Gang Hu, Mengling Feng, Guotong Xie
A Deep Reinforcement Learning Approach for Type 2 Diabetes Mellitus Treatment. ICHI (2020)
Siqi Liu, Qianwen Stephanie Ko, Kun Qiang Amos Heng, Kee Yuan Ngiam, Mengling Feng
Healthcare Transformation in Singapore With Artificial Intelligence. Frontiers Digit. Health 2 (2020)
Dianwen Huang, Mengling Feng
Understanding Deep Convolutional Networks for Biomedical Imaging: A Practical Tutorial. EMBC (2019)
Siqi Liu, Kee Yuan Ngiam, Mengling Feng
Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey. CoRR (2019)
Ziyuan Pan, Hao Du, Kee Yuan Ngiam, Fei Wang, Ping Shum, Mengling Feng
A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care. CoRR (2019)
Hao Du, Jiashi Feng, Mengling Feng
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis. CoRR (2019)
David Liang Tai Wong, Selva Muthu Kumaran Sathappan, Jufeng Yu, Chun-Huat Heng, Pipin Kojodjojo, Mengling Feng
Continuous ECG Monitoring Trial for Outpatient - Patient Receptiveness and Signal Accuracy. EMBC (2019)
Calvin Chiew, Han Wang, Marcus Eng Hock Ong, Ting Hway Wong, Zhixiong Koh, Nan Liu, Mengling Feng
Serial Heart Rate Variability Measures for Risk Prediction of Septic Patients in the Emergency Department. AMIA (2019)
Tim Schäck, Michael Muma, Mengling Feng, Cuntai Guan, Abdelhak M. Zoubir
Robust Nonlinear Causality Analysis of Nonstationary Multivariate Physiological Time Series. IEEE Trans. Biomed. Eng. 65 (6) (2018)
Mike Wu, Marzyeh Ghassemi, Mengling Feng, Leo A. Celi, Peter Szolovits, Finale Doshi-Velez
Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database. J. Am. Medical Informatics Assoc. 24 (3) (2017)
Shameek Ghosh, Mengling Feng, Hung T. Nguyen, Jinyan Li
Hypotension Risk Prediction via Sequential Contrast Patterns of ICU Blood Pressure. IEEE J. Biomed. Health Informatics 20 (5) (2016)
Hao Du, Mohammad M. Ghassemi, Mengling Feng
The effects of deep network topology on mortality prediction. EMBC (2016)
Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Thomas Brennan, David A. Clifton, Peter Szolovits, Mengling Feng
A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data. AAAI (2015)
Guimei Liu, Haojun Zhang, Mengling Feng, Limsoon Wong, See-Kiong Ng
Supporting Exploratory Hypothesis Testing and Analysis. ACM Trans. Knowl. Discov. Data 9 (4) (2015)
Shameek Ghosh, Mengling Feng, Hung T. Nguyen, Jinyan Li
Predicting Heart Beats using Co-occurring Constrained Sequential Patterns. CinC (2014)
Mengling Feng, Mohammad M. Ghassemi, Thomas Brennan, John Ellenberger, Ishrar Hussain, Roger G. Mark
Big Data for Critical Care with Cloud-based In-Memory Database. AMIA (2014)
Mengling Feng, Mohammad M. Ghassemi, Thomas Brennan, John Ellenberger, Ishrar Hussain, Roger G. Mark
Management and analytic of biomedical big data with cloud-based in-memory database and dynamic querying: a hands-on experience with real-world data. KDD (2014)
Shameek Ghosh, Mengling Feng, Hung T. Nguyen, Jinyan Li
Risk Prediction for Acute Hypotensive Patients by Using Gap Constrained Sequential Contrast Patterns. AMIA (2014)
Bin Han, Michael Muma, Mengling Feng, Abdelhak M. Zoubir
An online approach for intracranial pressure forecasting based on signal decomposition and robust statistics. ICASSP (2013)
Mengling Feng, Liang Yu Loy, Kelvin Sim, Clifton Phua, Feng Zhang, Cuntai Guan
Artifact correction with robust statistics for non-stationary intracranial pressure signal monitoring. ICPR (2012)
Kevin Sebastian, Vivian Sari, Liang Yu Loy, Feng Zhang, Zhuo Zhang, Mengling Feng
Multi-signal Visualization of Physiology (MVP): A novel visualization dashboard for physiological monitoring of Traumatic Brain Injury patients. EMBC (2012)
Mengling Feng, Zhuo Zhang, Cuntai Guan, David R. Hardoon, Nicolas Kon Kam King, Boon Chuan Pang, Beng Ti Ang
Utilization of temporal information for intracranial pressure development trend forecasting in traumatic brain injury. EMBC (2012)
Guimei Liu, Andre Suchitra, Haojun Zhang, Mengling Feng, See-Kiong Ng, Limsoon Wong
AssocExplorer: an association rule visualization system for exploratory data analysis. KDD (2012)
Feng Zhang, Mengling Feng, Liang Yu Loy, Zhuo Zhang, Cuntai Guan
Online ICP forecast for patients with traumatic brain injury. ICPR (2012)
Yue Wang, Guimei Liu, Mengling Feng, Limsoon Wong
Response: an empirical comparison of several recent epistatic interaction detection methods. Bioinform. 28 (1) (2012)
Mengling Feng, Zhuo Zhang, Feng Zhang, Yu Ge, Liang Yu Loy, Kuralmani Vellaisamy, Wenyuan Guo, Pei Loon Chin, Nicolas Kon Kam King, Beng Ti Ang, Cuntai Guan
iSyNCC: An intelligent system for patient monitoring & clinical decision support in Neuro-Critical-Care. EMBC (2011)
Feng Zhang, Mengling Feng, Sinno Jialin Pan, Liang Yu Loy, Wenyuan Guo, Zhuo Zhang, Pei Loon Chin, Cuntai Guan, Nicolas Kon Kam King, Beng Ti Ang
Artificial neural network based intracranial pressure mean forecast algorithm for medical decision support. EMBC (2011)
Mengling Feng, Liang Yu Loy, Feng Zhang, Cuntai Guan
Artifact removal for intracranial pressure monitoring signals: A robust solution with signal decomposition. EMBC (2011)
Yue Wang, Guimei Liu, Mengling Feng, Limsoon Wong
An empirical comparison of several recent epistatic interaction detection methods. Bioinform. 27 (21) (2011)
Guimei Liu, Mengling Feng, Yue Wang, Limsoon Wong, See-Kiong Ng, Tzia Liang Mah, Edmund Jon Deoon Lee
Towards exploratory hypothesis testing and analysis. ICDE (2011)
Sujit Kumar Sahoo, Wenmiao Lu, Sintiani Dewi Teddy, Desok Kim, Mengling Feng
Detection of Atrial fibrillation from non-episodic ECG data: A review of methods. EMBC (2011)
Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong
Pattern Space Maintenance for Data Updates and Interactive Mining. Comput. Intell. 26 (3) (2010)
Thanh-Son Ngo, Mengling Feng, Guimei Liu, Limsoon Wong
Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL. PAKDD (1) (2010)
Mengling Feng, Jinyan Li, Limsoon Wong, Yap-Peng Tan
Negative Generator Border for Effective Pattern Maintenance. ADMA (2008)
Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong
Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed. PAKDD (2007)
Haiquan Li, Jinyan Li, Limsoon Wong, Mengling Feng, Yap-Peng Tan
Relative risk and odds ratio: a data mining perspective. PODS (2005)
Mengling Feng, Yap-Peng Tan
Contrast adaptive binarization of low quality document images. IEICE Electron. Express 1 (16) (2004)
Mengling Feng, Yap-Peng Tan
Adaptive binarization method for document image analysis. ICME (2004)