Adaptive binarization method for document image analysis. - Mengling Feng; Yap-Peng Tan (ICME, 2004)

Contrast adaptive binarization of low quality document images. - Mengling Feng; Yap-Peng Tan (IEICE Electron. Express, 2004)

Relative risk and odds ratio: a data mining perspective. - Haiquan Li; Jinyan Li 001; Limsoon Wong; Mengling Feng; Yap-Peng Tan (PODS, 2005)

Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed. - Mengling Feng; Guozhu Dong; Jinyan Li 001; Yap-Peng Tan; Limsoon Wong (PAKDD, 2007)

Negative Generator Border for Effective Pattern Maintenance. - Mengling Feng; Jinyan Li 001; Limsoon Wong; Yap-Peng Tan (ADMA, 2008)

Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL. - Thanh-Son Ngo; Mengling Feng; Guimei Liu; Limsoon Wong (PAKDD (1), 2010)

Pattern Space Maintenance for Data Updates and Interactive Mining. - Mengling Feng; Guozhu Dong; Jinyan Li 001; Yap-Peng Tan; Limsoon Wong (Comput. Intell., 2010)

Artifact removal for intracranial pressure monitoring signals: A robust solution with signal decomposition. - Mengling Feng; Liang Yu Loy; Feng Zhang; Cuntai Guan (EMBC, 2011)

iSyNCC: An intelligent system for patient monitoring & clinical decision support in Neuro-Critical-Care. - Mengling Feng; Zhuo Zhang 001; Feng Zhang; Yu Ge 001; Liang Yu Loy; Kuralmani Vellaisamy; Wenyuan Guo; Pei Loon Chin; Nicolas Kon Kam King; Beng Ti Ang; Cuntai Guan (EMBC, 2011)

Detection of Atrial fibrillation from non-episodic ECG data: A review of methods. - Sujit Kumar Sahoo; Wenmiao Lu; Sintiani Dewi Teddy; Desok Kim; Mengling Feng (EMBC, 2011)

Artificial neural network based intracranial pressure mean forecast algorithm for medical decision support. - Feng Zhang; Mengling Feng; Sinno Jialin Pan; Liang Yu Loy; Wenyuan Guo; Zhuo Zhang 001; Pei Loon Chin; Cuntai Guan; Nicolas Kon Kam King; Beng Ti Ang (EMBC, 2011)

Towards exploratory hypothesis testing and analysis. - Guimei Liu; Mengling Feng; Yue Wang 006; Limsoon Wong; See-Kiong Ng; Tzia Liang Mah; Edmund Jon Deoon Lee (ICDE, 2011)

An empirical comparison of several recent epistatic interaction detection methods. - Yue Wang 006; Guimei Liu; Mengling Feng; Limsoon Wong (Bioinform., 2011)

Utilization of temporal information for intracranial pressure development trend forecasting in traumatic brain injury. - Mengling Feng; Zhuo Zhang 001; Cuntai Guan; David R. Hardoon; Nicolas Kon Kam King; Boon Chuan Pang; Beng Ti Ang (EMBC, 2012)

Multi-signal Visualization of Physiology (MVP): A novel visualization dashboard for physiological monitoring of Traumatic Brain Injury patients. - Kevin Sebastian; Vivian Sari; Liang Yu Loy; Feng Zhang; Zhuo Zhang 001; Mengling Feng (EMBC, 2012)

Artifact correction with robust statistics for non-stationary intracranial pressure signal monitoring. - Mengling Feng; Liang Yu Loy; Kelvin Sim; Clifton Phua; Feng Zhang; Cuntai Guan (ICPR, 2012)

Online ICP forecast for patients with traumatic brain injury. - Feng Zhang; Mengling Feng; Liang Yu Loy; Zhuo Zhang 001; Cuntai Guan (ICPR, 2012)

AssocExplorer: an association rule visualization system for exploratory data analysis. - Guimei Liu; Andre Suchitra; Haojun Zhang; Mengling Feng; See-Kiong Ng; Limsoon Wong (KDD, 2012)

Response: an empirical comparison of several recent epistatic interaction detection methods. - Yue Wang 006; Guimei Liu; Mengling Feng; Limsoon Wong (Bioinform., 2012)

Incremental Maintenance of Emerging Patterns. - Mengling Feng; Guozhu Dong (Contrast Data Mining, 2013)

An online approach for intracranial pressure forecasting based on signal decomposition and robust statistics. - Bin Han; Michael Muma; Mengling Feng; Abdelhak M. Zoubir (ICASSP, 2013)

Big Data for Critical Care with Cloud-based In-Memory Database. - Mengling Feng; Mohammad M. Ghassemi; Thomas Brennan; John Ellenberger; Ishrar Hussain; Roger G. Mark (AMIA, 2014)

Risk Prediction for Acute Hypotensive Patients by Using Gap Constrained Sequential Contrast Patterns. - Shameek Ghosh; Mengling Feng; Hung T. Nguyen 001; Jinyan Li 001 (AMIA, 2014)

Predicting Heart Beats using Co-occurring Constrained Sequential Patterns. - Shameek Ghosh; Mengling Feng; Hung T. Nguyen 001; Jinyan Li 001 (CinC, 2014)

Management and analytic of biomedical big data with cloud-based in-memory database and dynamic querying: a hands-on experience with real-world data. - Mengling Feng; Mohammad M. Ghassemi; Thomas Brennan; John Ellenberger; Ishrar Hussain; Roger G. Mark (KDD, 2014)

A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data. - Marzyeh Ghassemi; Marco A. F. Pimentel; Tristan Naumann; Thomas Brennan; David A. Clifton; Peter Szolovits; Mengling Feng (AAAI, 2015)

Supporting Exploratory Hypothesis Testing and Analysis. - Guimei Liu; Haojun Zhang; Mengling Feng; Limsoon Wong; See-Kiong Ng (ACM Trans. Knowl. Discov. Data, 2015)

The effects of deep network topology on mortality prediction. - Hao Du 005; Mohammad M. Ghassemi; Mengling Feng (EMBC, 2016)

Hypotension Risk Prediction via Sequential Contrast Patterns of ICU Blood Pressure. - Shameek Ghosh; Mengling Feng; Hung T. Nguyen 001; Jinyan Li 001 (IEEE J. Biomed. Health Informatics, 2016)

Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database. - Mike Wu; Marzyeh Ghassemi; Mengling Feng; Leo A. Celi; Peter Szolovits; Finale Doshi-Velez (J. Am. Medical Informatics Assoc., 2017)

Robust Nonlinear Causality Analysis of Nonstationary Multivariate Physiological Time Series. - Tim Schäck; Michael Muma; Mengling Feng; Cuntai Guan; Abdelhak M. Zoubir (IEEE Trans. Biomed. Eng., 2018)

Serial Heart Rate Variability Measures for Risk Prediction of Septic Patients in the Emergency Department. - Calvin Chiew; Han Wang 001; Marcus Eng Hock Ong; Ting Hway Wong; Zhixiong Koh; Nan Liu 003; Mengling Feng (AMIA, 2019)

Understanding Deep Convolutional Networks for Biomedical Imaging: A Practical Tutorial. - Dianwen Huang; Mengling Feng (EMBC, 2019)

Continuous ECG Monitoring Trial for Outpatient - Patient Receptiveness and Signal Accuracy. - David Liang Tai Wong; Selva Muthu Kumaran Sathappan; Jufeng Yu; Chun-Huat Heng; Pipin Kojodjojo; Mengling Feng (EMBC, 2019)

A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care. - Ziyuan Pan; Hao Du 005; Kee Yuan Ngiam; Fei Wang; Ping Shum 001; Mengling Feng (CoRR, 2019)

Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey. - Siqi Liu; Kee Yuan Ngiam; Mengling Feng (CoRR, 2019)

Zoom in to where it matters: a hierarchical graph based model for mammogram analysis. - Hao Du 005; Jiashi Feng; Mengling Feng (CoRR, 2019)

Classification of Cardiac Abnormalities From ECG Signals Using SE-ResNet. - Zhaowei Zhu; Han Wang; Tingting Zhao; Yangming Guo; Zhuoyang Xu; Zhuo Liu; Siqi Liu; Xiang Lan 004; Xingzhi Sun 002; Mengling Feng (CinC, 2020)

A Deep Reinforcement Learning Approach for Type 2 Diabetes Mellitus Treatment. - Zhuo Liu; Linong Ji; Xuehan Jiang; Wei Zhao; Xiyang Liao; Tingting Zhao; Siqi Liu; Xingzhi Sun 002; Gang Hu 001; Mengling Feng; Guotong Xie (ICHI, 2020)

An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning. - Wang Han; Wesley Yeung; Angeline Tung; Joey Tay Ai Meng; Davin Ryanputera; Mengling Feng; Shalini Arulanadam (CoRR, 2020)

Healthcare Transformation in Singapore With Artificial Intelligence. - Siqi Liu; Qianwen Stephanie Ko; Kun Qiang Amos Heng; Kee Yuan Ngiam; Mengling Feng (Frontiers Digit. Health, 2020)

Building ICU In-hospital Mortality Prediction Model with Federated Learning. - Trung Kien Dang; Kwan Chet Tan; Mark Choo; Nicholas Lim; Jianshu Weng; Mengling Feng (Federated Learning, 2020)

B-SegNet: branched-SegMentor network for skin lesion segmentation. - Shreshth Saini; Young Seok Jeon; Mengling Feng (CHIL, 2021)

Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction. - Xiang Lan 004; Dianwen Ng; Yi Liu; Jiongzhou Liu; Fan Xu; Cheng He; Mengling Feng (IJCNN, 2021)

Transformation of Electronic Health Records and Questionnaire Data to OMOP CDM: A Feasibility Study Using SG_T2DM Dataset. - Selva Muthu Kumaran Sathappan; Young Seok Jeon; Trung Kien Dang; Su Chi Lim; Yi-Ming Shao; E. Shyong Tai; Mengling Feng (Appl. Clin. Inform., 2021)

Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function. - Zhaowei Zhu; Xiang Lan 004; Tingting Zhao; Yangming Guo; Pipin Kojodjojo; Zhuoyang Xu; Zhuo Liu; Siqi Liu; Han Wang; Xingzhi Sun 002; Mengling Feng (CoRR, 2021)

Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms. - Hao Du 005; Melissa Min-Szu Yao; Liangyu Chen 005; Wing P. Chan; Mengling Feng (CoRR, 2021)

DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual Network for the DiCOVA Challenge 2021. - Jiangeng Chang; Shaoze Cui; Mengling Feng (CoRR, 2021)

Interpretable and Lightweight 3-D Deep Learning Model for Automated ACL Diagnosis. - Young Seok Jeon; Kensuke Yoshino; Shigeo Hagiwara; Atsuya Watanabe; Swee Tian Quek; Hiroshi Yoshioka; Mengling Feng (IEEE J. Biomed. Health Informatics, 2021)

Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. - Xiang Lan 004; Dianwen Ng; Shenda Hong; Mengling Feng (AAAI, 2022)

UFRC: A Unified Framework for Reliable COVID-19 Detection on Crowdsourced Cough Audio. - Jiangeng Chang; Yucheng Ruan; Shaoze Cui; John Soong Tshon Yit; Mengling Feng (EMBC, 2022)

Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. - Feng Xie 004; Han Yuan; Yilin Ning; Marcus Eng Hock Ong; Mengling Feng; Wynne Hsu; Bibhas Chakraborty; Nan Liu 003 (J. Biomed. Informatics, 2022)

Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers. - 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 (J. Digit. Imaging, 2022)

Federated Learning for Electronic Health Records. - Trung Kien Dang; Xiang Lan 004; Jianshu Weng; Mengling Feng (ACM Trans. Intell. Syst. Technol., 2022)

A Clustering-Based Optimization Method for the Driving Cycle Construction: A Case Study in Fuzhou and Putian, China. - Huaxin Qiu 002; Shaoze Cui; Sutong Wang; Yanzhang Wang; Mengling Feng (IEEE Trans. Intell. Transp. Syst., 2022)

Demystifying Complex Treatment Recommendations: A Hierarchical Cooperative Multi-Agent RL Approach. - Dilruk Perera; Siqi Liu; Mengling Feng (IJCNN, 2023)

Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. - Xiang Lan 004; Hanshu Yan; Shenda Hong; Mengling Feng (CoRR, 2023)

Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts. - Yucheng Ruan; Xiang Lan 004; Daniel J. Tan; Hairil Rizal Abdullah; Mengling Feng (CoRR, 2023)

The NUS-HLT System for ICASSP2024 ICMC-ASR Grand Challenge. - Meng Ge; Yizhou Peng; Yidi Jiang; Jingru Lin; Junyi Ao; Mehmet Sinan Yildirim; Shuai Wang 016; Haizhou Li 001; Mengling Feng (CoRR, 2023)

Automatic Calcification Morphology and Distribution Classification for Breast Mammograms With Multi-Task Graph Convolutional Neural Network. - Hao Du 005; Melissa Min-Szu Yao; Siqi Liu; Liangyu Chen 005; Wing P. Chan; Mengling Feng (IEEE J. Biomed. Health Informatics, 2023)

A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRI. - 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; et al. (Comput. Biol. Medicine, 2023)

An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers. - Ling Huang 003; Yucheng Xing; Thierry Denoeux; Mengling Feng (BELIEF, 2024)

An Evidence-Based Framework For Heterogeneous Electronic Health Records: A Case Study In Mortality Prediction. - Yucheng Ruan; Ling Huang 003; Qianyi Xu; Mengling Feng (BELIEF, 2024)

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. - Jihai Zhang 002; Xiang Lan 004; Xiaoye Qu; Yu Cheng 001; Mengling Feng; Bryan Hooi (ECCV (83), 2024)

Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. - Xiang Lan 004; Hanshu Yan; Shenda Hong; Mengling Feng (ICLR, 2024)

Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare. - Shenda Hong; Daoxin Yin; Gongzheng Tang; Tianfan Fu; Liantao Ma; Junyi Gao; Mengling Feng; Mai Wang; Yu Yang; Fei Wang 001; Hongfang Liu; Luxia Zhang (KDD, 2024)

AIC-UNet: Anatomy-informed Cascaded UNet for Robust Multi-Organ Segmentation. - Young Seok Jeon; Hongfei Yang; Huazhu Fu; Mengling Feng (CoRR, 2024)

Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution. - Yucheng Ruan; Xiang Lan 004; Jingying Ma; Yizhi Dong; Kai He 001; Mengling Feng (CoRR, 2024)

ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging. - Jingying Ma; Qika Lin; Ziyu Jia; Mengling Feng (CoRR, 2024)

Advancing Multi-Organ Disease Care: A Hierarchical Multi-Agent Reinforcement Learning Framework. - Daniel J. Tan; Qianyi Xu; Kay Choong See; Dilruk Perera; Mengling Feng (CoRR, 2024)

Evidential time-to-event prediction model with well-calibrated uncertainty estimation. - Ling Huang 003; Yucheng Xing; Swapnil Mishra; Thierry Denoeux; Mengling Feng (CoRR, 2024)

EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers. - Ling Huang 003; Yucheng Xing; Qika Lin; Su Ruan; Mengling Feng (CoRR, 2024)

Predicting intubation for intensive care units patients: A deep learning approach to improve patient management. - Ruixi Li; Zenglin Xu; Jing Xu; Xinglin Pan; Hong Wu; Xiaobo Huang; Mengling Feng (Int. J. Medical Informatics, 2024)

AI Use in Mammography for Diagnosing Metachronous Contralateral Breast Cancer. - Mio Adachi; Tomoyuki Fujioka; Toshiyuki Ishiba; Miyako Nara; Sakiko Maruya; Kumiko Hayashi; Yuichi Kumaki; Emi Yamaga; Leona Katsuta; Du Hao; Mikael Hartman; Mengling Feng; et al. (J. Imaging, 2024)

A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods. - Ling Huang 003; Su Ruan; Yucheng Xing; Mengling Feng (Medical Image Anal., 2024)

Selective HuBERT: Self-Supervised Pre-Training for Target Speaker in Clean and Mixture Speech. - Jingru Lin; Meng Ge; Wupeng Wang; Haizhou Li 001; Mengling Feng (IEEE Signal Process. Lett., 2024)

FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images. - Young Seok Jeon; Hongfei Yang; Mengling Feng (IEEE J. Biomed. Health Informatics, 2024)

Crab: A Novel Configurable Role-Playing LLM with Assessing Benchmark. - Kai He 001; Yucheng Huang; Wenqing Wang; Delong Ran; Dongming Sheng; Junxuan Huang; Qika Lin; Jiaxing Xu; Wenqiang Liu; Mengling Feng (ACL (1), 2025)

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. - Qika Lin; Tianzhe Zhao; Kai He 001; Zhen Peng 005; Fangzhi Xu; Ling Huang 003; Jingying Ma; Mengling Feng (ACL (1), 2025)

PTransformer: A Prompt-Based Multimodal Transformer Architecture For Medical Tabular Data. - Yucheng Ruan; Xiang Lan 004; Daniel J. Tan; Hairil Rizal Abdullah; Mengling Feng (AIME (1), 2025)

Evidential time-to-event prediction with calibrated uncertainty quantification. - Ling Huang 003; Yucheng Xing; Swapnil Mishra; Thierry Denoeux; Mengling Feng (Int. J. Approx. Reason., 2025)

A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics. - Kai He 001; Rui Mao 010; Qika Lin; Yucheng Ruan; Xiang Lan 004; Mengling Feng; Erik Cambria (Inf. Fusion, 2025)

Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey. - Qika Lin; Yifan Zhu 001; Xin Mei; Ling Huang 003; Jingying Ma; Kai He 001; Zhen Peng 005; Erik Cambria; Mengling Feng (Inf. Fusion, 2025)

From screens to scenes: A survey of embodied AI in healthcare. - Yihao Liu; Xu Cao; Wei-Ting Chen; Yankai Jiang 003; Junjie You; Minghua Wu; Xiaosong Wang 001; Mengling Feng; Yaochu Jin; Jintai Chen (Inf. Fusion, 2025)

Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA. - Qika Lin; Kai He 001; Yifan Zhu 001; Fangzhi Xu; Erik Cambria; Mengling Feng (IEEE Trans. Image Process., 2025)

Evidence-based multimodal fusion on structured EHRs and free-text notes for ICU outcome prediction. - Yucheng Ruan; Daniel J. Tan; See-Kiong Ng; Ling Huang 003; Mengling Feng (CoRR, 2025)

From Screens to Scenes: A Survey of Embodied AI in Healthcare. - Yihao Liu; Xu Cao; Tingting Chen 002; Yankai Jiang 003; Junjie You; Minghua Wu; Xiaosong Wang 001; Mengling Feng; Yaochu Jin; Jintai Chen (CoRR, 2025)

PAL: Prompting Analytic Learning with Missing Modality for Multi-Modal Class-Incremental Learning. - Xianghu Yue; Yiming Chen 010; Xueyi Zhang; Xiaoxue Gao; Mengling Feng; Mingrui Lao; Huiping Zhuang; Haizhou Li 001 (CoRR, 2025)

No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling. - Young Seok Jeon; Hongfei Yang; Huazhu Fu; Mengling Feng (CoRR, 2025)

Development and Validation of a Dynamic Kidney Failure Prediction Model based on Deep Learning: A Real-World Study with External Validation. - Jingying Ma; Jinwei Wang; Lanlan Lu; Yexiang Sun; Mengling Feng; Peng Shen; Zhiqin Jiang; Shenda Hong; Luxia Zhang (CoRR, 2025)

Frailty Modeling Using Machine Learning Methodologies: A Systematic Review With Discussions on Outstanding Questions. - Hongfei Yang; Jiangeng Chang; Wenbo He; Caitlin Fern Wee; John Soong Tshon Yit; Mengling Feng (IEEE J. Biomed. Health Informatics, 2025)

A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models. - Qika Lin; Zhen Peng 005; Kaize Shi; Kai He 001; Yiming Xu 001; Erik Cambria; Mengling Feng (CoRR, 2025)

GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images. - Xiang Lan 004; Feng Wu 001; Kai He 001; Qinghao Zhao; Shenda Hong; Mengling Feng (CoRR, 2025)

BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification. - Jiaxing Xu; Kai He 001; Yue Tang; Wei Li 231; Mengcheng Lan; Xia Dong; Yiping Ke; Mengling Feng (CoRR, 2025)

MedDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support. - Qianyi Xu; Gousia Habib; Dilruk Perera; Mengling Feng (CoRR, 2025)

DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains. - Zhihui Chen; Kai He; Yucheng Huang; Yunxiao Zhu; Mengling Feng (CoRR, 2025)

CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model. - Jingying Ma; Feng Wu; Qika Lin; Yucheng Xing; Chenyu Liu; Ziyu Jia; Mengling Feng (CoRR, 2025)

Towards Unified Neurosymbolic Reasoning on Knowledge Graphs. - Qika Lin; Fangzhi Xu; Hao Lu 002; Kai He 001; Rui Mao 010; Jun Liu 002; Erik Cambria; Mengling Feng (CoRR, 2025)

MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations. - Deyun Zhang; Xiang Lan 004; Shijia Geng; Qinghao Zhao; Sumei Fan; Mengling Feng; Shenda Hong (CoRR, 2025)

Multi-granularity semantic extraction and multi-task fusion for Chinese medical entity normalization. - Wenhui Hou; Kai He 001; Rui Mao 010; Jianqiang Wang; Xiaokang Wang; Mengling Feng (Expert Syst. Appl., 2026)

Domain-continual learning for multi-center anatomical detection via prompt-enhanced and densely-fused MedSAM. - Zhan Gao; Ling Huang 003; Qika Lin; Bin Pu; Kai He 001; Mengling Feng; Kenli Li 001 (Inf. Fusion, 2026)