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2020 – today
- 2024
[j21]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: 105425 (2024)- [j20]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: 103223 (2024) - [j19]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: 1014-1018 (2024) - [j18]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): 1195-1206 (2024) - [c36]Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng:
An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers. BELIEF 2024: 49-57 - [c35]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: 78-86 - [c34]Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng:
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. ICLR 2024 - [c33]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: 6720-6721 - [i23]Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi:
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. CoRR abs/2402.11816 (2024) - [i22]Young Seok Jeon, Hongfei Yang, Huazhu Fu, Mengling Feng:
AIC-UNet: Anatomy-informed Cascaded UNet for Robust Multi-Organ Segmentation. CoRR abs/2403.18878 (2024) - [i21]Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng:
An evidential time-to-event prediction model based on Gaussian random fuzzy numbers. CoRR abs/2406.13487 (2024) - [i20]Yucheng Ruan, Xiang Lan, Jingying Ma, Yizhi Dong, Kai He, Mengling Feng:
Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution. CoRR abs/2408.10548 (2024) - [i19]Jingying Ma, Qika Lin, Ziyu Jia, Mengling Feng:
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging. CoRR abs/2408.11884 (2024) - [i18]Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng:
Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey. CoRR abs/2408.12880 (2024) - [i17]Daniel J. Tan, Qianyi Xu, Kay Choong See, Dilruk Perera, Mengling Feng:
Advancing Multi-Organ Disease Care: A Hierarchical Multi-Agent Reinforcement Learning Framework. CoRR abs/2409.04224 (2024) - 2023
- [j17]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 Gunnar 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: 107608 (2023) - [j16]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): 3782-3793 (2023) - [c32]Dilruk Perera, Siqi Liu, Mengling Feng:
Demystifying Complex Treatment Recommendations: A Hierarchical Cooperative Multi-Agent RL Approach. IJCNN 2023: 1-10 - [i16]Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng:
Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. CoRR abs/2302.03357 (2023) - [i15]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 abs/2303.17408 (2023) - [i14]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 abs/2310.05694 (2023) - [i13]Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng:
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods. CoRR abs/2310.06873 (2023) - [i12]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 abs/2312.16002 (2023) - 2022
- [j15]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: 103980 (2022) - [j14]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): 881-892 (2022) - [j13]Trung Kien Dang, Xiang Lan, Jianshu Weng, Mengling Feng:
Federated Learning for Electronic Health Records. ACM Trans. Intell. Syst. Technol. 13(5): 72:1-72:17 (2022) - [j12]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): 18681-18694 (2022) - [c31]Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng:
Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. AAAI 2022: 4532-4540 - [c30]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: 3418-3421 - [i11]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 abs/2204.07763 (2022) - [i10]Young Seok Jeon, Hongfei Yang, Mengling Feng:
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images. CoRR abs/2207.14477 (2022) - 2021
- [j11]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): 757-767 (2021) - [j10]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): 2388-2397 (2021) - [c29]Shreshth Saini, Young Seok Jeon, Mengling Feng:
B-SegNet: branched-SegMentor network for skin lesion segmentation. CHIL 2021: 214-221 - [c28]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: 1-8 - [i9]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 abs/2101.03895 (2021) - [i8]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 abs/2105.06822 (2021) - [i7]Jiangeng Chang, Shaoze Cui, Mengling Feng:
DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual Network for the DiCOVA Challenge 2021. CoRR abs/2107.06126 (2021) - [i6]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 abs/2107.09951 (2021) - [i5]Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng:
Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals. CoRR abs/2109.08908 (2021) - 2020
- [j9]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: 592121 (2020) - [c27]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: 1-4 - [c26]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: 1-9 - [p2]Trung Kien Dang, Kwan Chet Tan, Mark Choo, Nicholas Lim, Jianshu Weng, Mengling Feng:
Building ICU In-hospital Mortality Prediction Model with Federated Learning. Federated Learning 2020: 255-268 - [i4]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 abs/2007.03596 (2020)
2010 – 2019
- 2019
- [c25]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 - [c24]Dianwen Huang, Mengling Feng:
Understanding Deep Convolutional Networks for Biomedical Imaging: A Practical Tutorial. EMBC 2019: 857-863 - [c23]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: 1144-1148 - [i3]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 abs/1901.04364 (2019) - [i2]Siqi Liu, Kee Yuan Ngiam, Mengling Feng:
Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey. CoRR abs/1907.09475 (2019) - [i1]Hao Du, Jiashi Feng, Mengling Feng:
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis. CoRR abs/1912.07517 (2019) - 2018
- [j8]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): 1213-1225 (2018) - 2017
- [j7]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): 488-495 (2017) - 2016
- [j6]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): 1416-1426 (2016) - [c22]Hao Du, Mohammad M. Ghassemi, Mengling Feng:
The effects of deep network topology on mortality prediction. EMBC 2016: 2602-2605 - 2015
- [j5]Guimei Liu, Haojun Zhang, Mengling Feng, Limsoon Wong, See-Kiong Ng:
Supporting Exploratory Hypothesis Testing and Analysis. ACM Trans. Knowl. Discov. Data 9(4): 31:1-31:24 (2015) - [c21]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: 446-453 - 2014
- [c20]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 - [c19]Shameek Ghosh, Mengling Feng, Hung T. Nguyen, Jinyan Li:
Risk Prediction for Acute Hypotensive Patients by Using Gap Constrained Sequential Contrast Patterns. AMIA 2014 - [c18]Shameek Ghosh, Mengling Feng, Hung T. Nguyen, Jinyan Li:
Predicting Heart Beats using Co-occurring Constrained Sequential Patterns. CinC 2014: 265-268 - [c17]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: 1970 - 2013
- [c16]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: 6239-6243 - [p1]Mengling Feng, Guozhu Dong:
Incremental Maintenance of Emerging Patterns. Contrast Data Mining 2013: 69-86 - 2012
- [j4]Yue Wang, Guimei Liu, Mengling Feng, Limsoon Wong:
Response: an empirical comparison of several recent epistatic interaction detection methods. Bioinform. 28(1): 147-148 (2012) - [c15]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: 2000-2003 - [c14]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: 3930-3934 - [c13]Feng Zhang, Mengling Feng, Liang Yu Loy, Zhuo Zhang, Cuntai Guan:
Online ICP forecast for patients with traumatic brain injury. ICPR 2012: 37-40 - [c12]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: 557-560 - [c11]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: 1536-1539 - 2011
- [j3]Yue Wang, Guimei Liu, Mengling Feng, Limsoon Wong:
An empirical comparison of several recent epistatic interaction detection methods. Bioinform. 27(21): 2936-2943 (2011) - [c10]Mengling Feng, Liang Yu Loy, Feng Zhang, Cuntai Guan:
Artifact removal for intracranial pressure monitoring signals: A robust solution with signal decomposition. EMBC 2011: 797-801 - [c9]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: 4992-4995 - [c8]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: 6426-6429 - [c7]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: 7111-7114 - [c6]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: 745-756 - 2010
- [j2]Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong:
Pattern Space Maintenance for Data Updates and Interactive Mining. Comput. Intell. 26(3): 282-317 (2010) - [c5]Thanh-Son Ngo, Mengling Feng, Guimei Liu, Limsoon Wong:
Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL. PAKDD (1) 2010: 121-133
2000 – 2009
- 2008
- [c4]Mengling Feng, Jinyan Li, Limsoon Wong, Yap-Peng Tan:
Negative Generator Border for Effective Pattern Maintenance. ADMA 2008: 217-228 - 2007
- [c3]Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong:
Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed. PAKDD 2007: 489-497 - 2005
- [c2]Haiquan Li, Jinyan Li, Limsoon Wong, Mengling Feng, Yap-Peng Tan:
Relative risk and odds ratio: a data mining perspective. PODS 2005: 368-377 - 2004
- [j1]Mengling Feng, Yap-Peng Tan:
Contrast adaptive binarization of low quality document images. IEICE Electron. Express 1(16): 501-506 (2004) - [c1]Mengling Feng, Yap-Peng Tan:
Adaptive binarization method for document image analysis. ICME 2004: 339-342
Coauthor Index
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