Mengling Feng - RankMe

139 papers A* 11A 1B 5C 1Misc 4Journal 90Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Domain-continual learning for multi-center anatomical detection via prompt-enhanced and densely-fused MedSAM. Inf. Fusion Zhan Gao, Ling Huang, Qika Lin, Bin Pu, Kai He, Mengling Feng, Kenli Li
2026	J	`jnl`	EsurvFusion: An Evidential Multimodal Survival Fusion Model Based on Epistemic Random Fuzzy Sets. IEEE Trans. Fuzzy Syst. Ling Huang, Yucheng Xing, Qika Lin, Jinming Duan, Su Ruan, Mengling Feng
2026	J	`jnl`	External Retrievals or Internal Priors? From RAG to Epitome-Augmented Generation by Fuzzy Selection. IEEE Trans. Fuzzy Syst. Kai He, Jiaxing Xu, Qika Lin, Wenqing Wang, Zeyu Gao, Jialun Wu, Yucheng Huang, Mengling Feng
2026	J	`jnl`	From Latent Signals to Reflection Behavior: Tracing Meta-Cognitive Activation Trajectory in R1-Style LLMs. CoRR Yanrui Du, Yibo Gao, Sendong Zhao, Jiayun Li, Haochun Wang, Qika Lin, Kai He, Bing Qin, Mengling Feng
2026	J	`jnl`	Incorporating Large Vision Model Distillation and Fuzzy Perception for Improving Disease Diagnosis. IEEE Trans. Fuzzy Syst. Zhan Gao, Qika Lin, Huaxuan Wen, Bin Pu, Mengling Feng, Kenli Li
2026	J	`jnl`	MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning. CoRR Zhihui Chen, Kai He, Qingyuan Lei, Bin Pu, Jian Zhang, Yuling Xu, Mengling Feng
2026	J	`jnl`	Multi-granularity semantic extraction and multi-task fusion for Chinese medical entity normalization. Expert Syst. Appl. Wenhui Hou, Kai He, Rui Mao, Jianqiang Wang, Xiaokang Wang, Mengling Feng
2026	J	`jnl`	PAL: Prompting analytic learning with missing modality for multi-modal class-incremental learning. Pattern Recognit. Xianghu Yue, Yiming Chen, Xueyi Zhang, Xiaoxue Gao, Mengling Feng, Mingrui Lao, Huiping Zhuang, Haizhou Li
2026	A*	`conf`	Recovering Coherent Affective Patterns: Addressing Modality Missing in Multimodal Sentiment Analysis. AAAI Huiting Huang, Tieliang Gong, Kai He, Wen Wen, Weizhan Zhang, Mengling Feng
2026	J	`jnl`	Robust multimodal sentiment analysis via double information bottleneck. Inf. Fusion Huiting Huang, Tieliang Gong, Kai He, Jialun Wu, Erik Cambria, Mengling Feng
2026	J	`jnl`	S3-CoT: Self-Sampled Succinct Reasoning Enables Efficient Chain-of-Thought LLMs. CoRR Yanrui Du, Sendong Zhao, Yibo Gao, Danyang Zhao, Qika Lin, Ming Ma, Jiayun Li, Yi Jiang, Kai He, Qian Xu, Bing Qin, Mengling Feng
2026	J	`jnl`	Smart Imitator: Learning from Imperfect Clinical Decisions. J. Am. Medical Informatics Assoc. Dilruk Perera, Siqi Liu, Kay Choong See, Mengling Feng
2026	J	`jnl`	Structured Prototype-Guided Adaptation for EEG Foundation Models. CoRR Jingying Ma, Feng Wu, Yucheng Xing, Qika Lin, Tianyu Liu, Chenyu Liu, Ziyu Jia, Mengling Feng
2026	—	`conf`	medDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support. KDD (1) Qianyi Xu, Gousia Habib, Feng Wu, Dilruk Perera, Mengling Feng
2026	J	`jnl`	medR: Reward Engineering for Clinical Offline Reinforcement Learning via Tri-Drive Potential Functions. CoRR Qianyi Xu, Gousia Habib, Feng Wu, Yanrui Du, Zhihui Chen, Swapnil Mishra, Dilruk Perera, Mengling Feng
2025	J	`jnl`	A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning. CoRR Qika Lin, Yifan Zhu, Bin Pu, Ling Huang, Haoran Luo, Jingying Ma, Zhen Peng, Tianzhe Zhao, Fangzhi Xu, Jian Zhang, Kai He, Zhonghong Ou, Swapnil Mishra, Mengling Feng
2025	J	`jnl`	A Survey of Quantized Graph Representation Learning: Connecting Graph Structures with Large Language Models. CoRR Qika Lin, Zhen Peng, Kaize Shi, Kai He, Yiming Xu, Erik Cambria, Mengling Feng
2025	J	`jnl`	A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics. Inf. Fusion Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria
2025	J	`jnl`	Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint. CoRR Yanrui Du, Fenglei Fan, Sendong Zhao, Jiawei Cao, Qika Lin, Kai He, Ting Liu, Bing Qin, Mengling Feng
2025	J	`jnl`	Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI. CoRR Dilruk Perera, Gousia Habib, Qianyi Xu, Daniel J. Tan, Kai He, Erik Cambria, Mengling Feng
2025	J	`jnl`	BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification. CoRR Jiaxing Xu, Kai He, Yue Tang, Wei Li, Mengcheng Lan, Xia Dong, Yiping Ke, Mengling Feng
2025	—	`conf`	BrainPrompt: Multi-level Brain Prompt Enhancement for Neurological Condition Identification. MICCAI (12) Jiaxing Xu, Kai He, Yue Tang, Wei Li, Mengcheng Lan, Xia Dong, Yiping Ke, Mengling Feng
2025	J	`jnl`	CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model. CoRR Jingying Ma, Feng Wu, Qika Lin, Yucheng Xing, Chenyu Liu, Ziyu Jia, Mengling Feng
2025	—	`conf`	Crab: A Novel Configurable Role-Playing LLM with Assessing Benchmark. ACL (1) Kai He, Yucheng Huang, Wenqing Wang, Delong Ran, Dongming Sheng, Junxuan Huang, Qika Lin, Jiaxing Xu, Wenqiang Liu, Mengling Feng
2025	J	`jnl`	Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA. IEEE Trans. Image Process. Qika Lin, Kai He, Yifan Zhu, Fangzhi Xu, Erik Cambria, Mengling Feng
2025	J	`jnl`	DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction. CoRR Yucheng Xing, Ling Huang, Jingying Ma, Ruping Hong, Jiangdong Qiu, Pei Liu, Kai He, Huazhu Fu, Mengling Feng
2025	J	`jnl`	DeepEN: Personalized Enteral Nutrition for Critically Ill Patients using Deep Reinforcement Learning. CoRR Daniel J. Tan, Jiayang Chen, Dilruk Perera, Kay Choong See, Mengling Feng
2025	J	`jnl`	Development and Validation of a Dynamic Kidney Failure Prediction Model based on Deep Learning: A Real-World Study with External Validation. CoRR Jingying Ma, Jinwei Wang, Lanlan Lu, Yexiang Sun, Mengling Feng, Peng Shen, Zhiqin Jiang, Shenda Hong, Luxia Zhang
2025	A*	`conf`	DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains. EMNLP Zhihui Chen, Kai He, Yucheng Huang, Yunxiao Zhu, Mengling Feng
2025	J	`jnl`	DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains. CoRR Zhihui Chen, Kai He, Yucheng Huang, Yunxiao Zhu, Mengling Feng
2025	J	`jnl`	Evidence-based multimodal fusion on structured EHRs and free-text notes for ICU outcome prediction. CoRR Yucheng Ruan, Daniel J. Tan, See-Kiong Ng, Ling Huang, Mengling Feng
2025	J	`jnl`	Evidential time-to-event prediction with calibrated uncertainty quantification. Int. J. Approx. Reason. Ling Huang, Yucheng Xing, Swapnil Mishra, Thierry Denoeux, Mengling Feng
2025	J	`jnl`	Frailty Modeling Using Machine Learning Methodologies: A Systematic Review With Discussions on Outstanding Questions. IEEE J. Biomed. Health Informatics Hongfei Yang, Jiangeng Chang, Wenbo He, Caitlin Fern Wee, John Soong Tshon Yit, Mengling Feng
2025	J	`jnl`	From Screens to Scenes: A Survey of Embodied AI in Healthcare. CoRR Yihao Liu, Xu Cao, Tingting Chen, Yankai Jiang, Junjie You, Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen
2025	J	`jnl`	From screens to scenes: A survey of embodied AI in healthcare. Inf. Fusion Yihao Liu, Xu Cao, Wei-Ting Chen, Yankai Jiang, Junjie You, Minghua Wu, Xiaosong Wang, Mengling Feng, Yaochu Jin, Jintai Chen
2025	J	`jnl`	GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images. CoRR Xiang Lan, Feng Wu, Kai He, Qinghao Zhao, Shenda Hong, Mengling Feng
2025	J	`jnl`	GRACE-ICU: A multimodal nomogram-based approach for illness severity assessment of older adults in the ICU. npj Digit. Medicine Xiaoli Liu, Wesley Yeung, Ziyue Chen, Sicheng Hao, Zhicheng Yang, Xiaowei Sun, Chao Liu, Zhi Mao, Muyang Yan, Wei Yan, Desen Cao, Mengling Feng, Deyu Li, Zhengbo Zhang, Leo Anthony Celi
2025	J	`jnl`	Guest Editorial: Multimodal Representation and Reasoning for Social Computing. IEEE Trans. Comput. Soc. Syst. Mengling Feng, Erik Cambria, Qika Lin, Kaize Shi, Weiping Li
2025	J	`jnl`	Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey. Inf. Fusion Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng
2025	—	`conf`	InTriage: Intelligent Telephone Triage in Pre-Hospital Emergency Care. EMNLP (System Demonstrations) Kai He, Qika Lin, Hao Fei, Eng Siong Chng, Dehan Hong, Marcus Eng Hock Ong, Mengling Feng
2025	J	`jnl`	MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations. CoRR Deyun Zhang, Xiang Lan, Shijia Geng, Qinghao Zhao, Sumei Fan, Mengling Feng, Shenda Hong
2025	J	`jnl`	Med-Banana-50K: A Cross-modality Large-Scale Dataset for Text-guided Medical Image Editing. CoRR Zhihui Chen, Mengling Feng
2025	J	`jnl`	MedDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support. CoRR Qianyi Xu, Gousia Habib, Dilruk Perera, Mengling Feng
2025	—	`conf`	No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling. MICCAI (16) Young Seok Jeon, Hongfei Yang, Huazhu Fu, Yeshe M. Kway, Mengling Feng
2025	J	`jnl`	No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling. CoRR Young Seok Jeon, Hongfei Yang, Huazhu Fu, Mengling Feng
2025	J	`jnl`	PAL: Prompting Analytic Learning with Missing Modality for Multi-Modal Class-Incremental Learning. CoRR Xianghu Yue, Yiming Chen, Xueyi Zhang, Xiaoxue Gao, Mengling Feng, Mingrui Lao, Huiping Zhuang, Haizhou Li
2025	—	`conf`	PTransformer: A Prompt-Based Multimodal Transformer Architecture For Medical Tabular Data. AIME (1) Yucheng Ruan, Xiang Lan, Daniel J. Tan, Hairil Rizal Abdullah, Mengling Feng
2025	J	`jnl`	Prediction of mortality and resource utilization in critical care: a deep learning approach using multimodal electronic health records with natural language processing techniques. CoRR Yucheng Ruan, Xiang Lan, Daniel J. Tan, Hairil Rizal Abdullah, Mengling Feng
2025	J	`jnl`	Robust Multimodal Sentiment Analysis via Double Information Bottleneck. CoRR Huiting Huang, Tieliang Gong, Kai He, Jialun Wu, Erik Cambria, Mengling Feng
2025	A*	`conf`	ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging. IJCAI Jingying Ma, Qika Lin, Ziyu Jia, Mengling Feng
2025	—	`conf`	Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. ACL (1) Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng
2025	J	`jnl`	Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. CoRR Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng
2025	J	`jnl`	Towards Unified Neurosymbolic Reasoning on Knowledge Graphs. CoRR Qika Lin, Fangzhi Xu, Hao Lu, Kai He, Rui Mao, Jun Liu, Erik Cambria, Mengling Feng
2024	J	`jnl`	A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods. Medical Image Anal. Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng
2024	J	`jnl`	AI Use in Mammography for Diagnosing Metachronous Contralateral Breast Cancer. J. Imaging Mio Adachi, Tomoyuki Fujioka, Toshiyuki Ishiba, Miyako Nara, Sakiko Maruya, Kumiko Hayashi, Yuichi Kumaki, Emi Yamaga, Leona Katsuta, Du Hao, Mikael Hartman, Mengling Feng, Goshi Oda, Kazunori Kubota, Ukihide Tateishi
2024	J	`jnl`	AIC-UNet: Anatomy-informed Cascaded UNet for Robust Multi-Organ Segmentation. CoRR Young Seok Jeon, Hongfei Yang, Huazhu Fu, Mengling Feng
2024	J	`jnl`	Advancing Multi-Organ Disease Care: A Hierarchical Multi-Agent Reinforcement Learning Framework. CoRR Daniel J. Tan, Qianyi Xu, Kay Choong See, Dilruk Perera, Mengling Feng
2024	—	`conf`	An Evidence-Based Framework For Heterogeneous Electronic Health Records: A Case Study In Mortality Prediction. BELIEF Yucheng Ruan, Ling Huang, Qianyi Xu, Mengling Feng
2024	—	`conf`	An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers. BELIEF Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng
2024	J	`jnl`	An evidential time-to-event prediction model based on Gaussian random fuzzy numbers. CoRR Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng
2024	A*	`conf`	Artificial Intelligence and Data Science for Healthcare: Bridging Data-Centric AI and People-Centric Healthcare. KDD Shenda Hong, Daoxin Yin, Gongzheng Tang, Tianfan Fu, Liantao Ma, Junyi Gao, Mengling Feng, Mai Wang, Yu Yang, Fei Wang, Hongfang Liu, Luxia Zhang
2024	J	`jnl`	EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers. CoRR Ling Huang, Yucheng Xing, Qika Lin, Su Ruan, Mengling Feng
2024	J	`jnl`	Evidential time-to-event prediction model with well-calibrated uncertainty estimation. CoRR Ling Huang, Yucheng Xing, Swapnil Mishra, Thierry Denoeux, Mengling Feng
2024	J	`jnl`	FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images. IEEE J. Biomed. Health Informatics Young Seok Jeon, Hongfei Yang, Mengling Feng
2024	J	`jnl`	Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey. CoRR Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng
2024	J	`jnl`	Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution. CoRR Yucheng Ruan, Xiang Lan, Jingying Ma, Yizhi Dong, Kai He, Mengling Feng
2024	—	`conf`	Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. ECCV (83) Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi
2024	J	`jnl`	Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. CoRR Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi
2024	J	`jnl`	Predicting intubation for intensive care units patients: A deep learning approach to improve patient management. Int. J. Medical Informatics Ruixi Li, Zenglin Xu, Jing Xu, Xinglin Pan, Hong Wu, Xiaobo Huang, Mengling Feng
2024	J	`jnl`	ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging. CoRR Jingying Ma, Qika Lin, Ziyu Jia, Mengling Feng
2024	J	`jnl`	Selective HuBERT: Self-Supervised Pre-Training for Target Speaker in Clean and Mixture Speech. IEEE Signal Process. Lett. Jingru Lin, Meng Ge, Wupeng Wang, Haizhou Li, Mengling Feng
2024	A*	`conf`	Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. ICLR Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
2023	J	`jnl`	A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics. CoRR Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria
2023	J	`jnl`	A fully convolutional neural network for comprehensive compartmentalization of abdominal adipose tissue compartments in MRI. Comput. Biol. Medicine 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
2023	J	`jnl`	A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods. CoRR Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng
2023	J	`jnl`	Automatic Calcification Morphology and Distribution Classification for Breast Mammograms With Multi-Task Graph Convolutional Neural Network. IEEE J. Biomed. Health Informatics Hao Du, Melissa Min-Szu Yao, Siqi Liu, Liangyu Chen, Wing P. Chan, Mengling Feng
2023	B	`conf`	Demystifying Complex Treatment Recommendations: A Hierarchical Cooperative Multi-Agent RL Approach. IJCNN Dilruk Perera, Siqi Liu, Mengling Feng
2023	J	`jnl`	Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts. CoRR Yucheng Ruan, Xiang Lan, Daniel J. Tan, Hairil Rizal Abdullah, Mengling Feng
2023	J	`jnl`	The NUS-HLT System for ICASSP2024 ICMC-ASR Grand Challenge. CoRR Meng Ge, Yizhou Peng, Yidi Jiang, Jingru Lin, Junyi Ao, Mehmet Sinan Yildirim, Shuai Wang, Haizhou Li, Mengling Feng
2023	J	`jnl`	Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. CoRR Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
2022	J	`jnl`	A Clustering-Based Optimization Method for the Driving Cycle Construction: A Case Study in Fuzhou and Putian, China. IEEE Trans. Intell. Transp. Syst. Huaxin Qiu, Shaoze Cui, Sutong Wang, Yanzhang Wang, Mengling Feng
2022	J	`jnl`	Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. J. Biomed. Informatics Feng Xie, Han Yuan, Yilin Ning, Marcus Eng Hock Ong, Mengling Feng, Wynne Hsu, Bibhas Chakraborty, Nan Liu
2022	J	`jnl`	Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers. J. Digit. Imaging 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
2022	J	`jnl`	FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images. CoRR Young Seok Jeon, Hongfei Yang, Mengling Feng
2022	J	`jnl`	Federated Learning for Electronic Health Records. ACM Trans. Intell. Syst. Technol. Trung Kien Dang, Xiang Lan, Jianshu Weng, Mengling Feng
2022	A*	`conf`	Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. AAAI Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng
2022	—	`conf`	UFRC: A Unified Framework for Reliable COVID-19 Detection on Crowdsourced Cough Audio. EMBC Jiangeng Chang, Yucheng Ruan, Shaoze Cui, John Soong Tshon Yit, Mengling Feng
2022	J	`jnl`	UFRC: A Unified Framework for Reliable COVID-19 Detection on Crowdsourced Cough Audio. CoRR Jiangeng Chang, Yucheng Ruan, Shaoze Cui, John Soong Tshon Yit, Mengling Feng
2021	B	`conf`	Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction. IJCNN Xiang Lan, Dianwen Ng, Yi Liu, Jiongzhou Liu, Fan Xu, Cheng He, Mengling Feng
2021	—	`conf`	B-SegNet: branched-SegMentor network for skin lesion segmentation. CHIL Shreshth Saini, Young Seok Jeon, Mengling Feng
2021	J	`jnl`	Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies. CoRR Feng Xie, Han Yuan, Yilin Ning, Marcus Eng Hock Ong, Mengling Feng, Wynne Hsu, Bibhas Chakraborty, Nan Liu
2021	J	`jnl`	DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual Network for the DiCOVA Challenge 2021. CoRR Jiangeng Chang, Shaoze Cui, Mengling Feng
2021	J	`jnl`	Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function. CoRR Zhaowei Zhu, Xiang Lan, Tingting Zhao, Yangming Guo, Pipin Kojodjojo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Han Wang, Xingzhi Sun, Mengling Feng
2021	J	`jnl`	Interpretable and Lightweight 3-D Deep Learning Model for Automated ACL Diagnosis. IEEE J. Biomed. Health Informatics Young Seok Jeon, Kensuke Yoshino, Shigeo Hagiwara, Atsuya Watanabe, Swee Tian Quek, Hiroshi Yoshioka, Mengling Feng
2021	J	`jnl`	Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals. CoRR Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng
2021	J	`jnl`	Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms. CoRR Hao Du, Melissa Min-Szu Yao, Liangyu Chen, Wing P. Chan, Mengling Feng
2021	J	`jnl`	Transformation of Electronic Health Records and Questionnaire Data to OMOP CDM: A Feasibility Study Using SG_T2DM Dataset. Appl. Clin. Inform. Selva Muthu Kumaran Sathappan, Young Seok Jeon, Trung Kien Dang, Su Chi Lim, Yi-Ming Shao, E. Shyong Tai, Mengling Feng
2020	—	`conf`	A Deep Reinforcement Learning Approach for Type 2 Diabetes Mellitus Treatment. ICHI Zhuo Liu, Linong Ji, Xuehan Jiang, Wei Zhao, Xiyang Liao, Tingting Zhao, Siqi Liu, Xingzhi Sun, Gang Hu, Mengling Feng, Guotong Xie
2020	J	`jnl`	An Emergency Medical Services Clinical Audit System driven by Named Entity Recognition from Deep Learning. CoRR Wang Han, Wesley Yeung, Angeline Tung, Joey Tay Ai Meng, Davin Ryanputera, Mengling Feng, Shalini Arulanadam
2020	—	`ch.`	Building ICU In-hospital Mortality Prediction Model with Federated Learning. Federated Learning Trung Kien Dang, Kwan Chet Tan, Mark Choo, Nicholas Lim, Jianshu Weng, Mengling Feng
2020	—	`conf`	Classification of Cardiac Abnormalities From ECG Signals Using SE-ResNet. CinC Zhaowei Zhu, Han Wang, Tingting Zhao, Yangming Guo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Xiang Lan, Xingzhi Sun, Mengling Feng
2020	J	`jnl`	Healthcare Transformation in Singapore With Artificial Intelligence. Frontiers Digit. Health Siqi Liu, Qianwen Stephanie Ko, Kun Qiang Amos Heng, Kee Yuan Ngiam, Mengling Feng
2019	J	`jnl`	A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care. CoRR Ziyuan Pan, Hao Du, Kee Yuan Ngiam, Fei Wang, Ping Shum, Mengling Feng
2019	—	`conf`	Continuous ECG Monitoring Trial for Outpatient - Patient Receptiveness and Signal Accuracy. EMBC David Liang Tai Wong, Selva Muthu Kumaran Sathappan, Jufeng Yu, Chun-Huat Heng, Pipin Kojodjojo, Mengling Feng
2019	J	`jnl`	Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey. CoRR Siqi Liu, Kee Yuan Ngiam, Mengling Feng
2019	Misc	`conf`	Serial Heart Rate Variability Measures for Risk Prediction of Septic Patients in the Emergency Department. AMIA Calvin Chiew, Han Wang, Marcus Eng Hock Ong, Ting Hway Wong, Zhixiong Koh, Nan Liu, Mengling Feng
2019	—	`conf`	Understanding Deep Convolutional Networks for Biomedical Imaging: A Practical Tutorial. EMBC Dianwen Huang, Mengling Feng
2019	J	`jnl`	Zoom in to where it matters: a hierarchical graph based model for mammogram analysis. CoRR Hao Du, Jiashi Feng, Mengling Feng
2018	J	`jnl`	Robust Nonlinear Causality Analysis of Nonstationary Multivariate Physiological Time Series. IEEE Trans. Biomed. Eng. Tim Schäck, Michael Muma, Mengling Feng, Cuntai Guan, Abdelhak M. Zoubir
2017	J	`jnl`	Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database. J. Am. Medical Informatics Assoc. Mike Wu, Marzyeh Ghassemi, Mengling Feng, Leo A. Celi, Peter Szolovits, Finale Doshi-Velez
2016	J	`jnl`	Hypotension Risk Prediction via Sequential Contrast Patterns of ICU Blood Pressure. IEEE J. Biomed. Health Informatics Shameek Ghosh, Mengling Feng, Hung T. Nguyen, Jinyan Li
2016	—	`conf`	The effects of deep network topology on mortality prediction. EMBC Hao Du, Mohammad M. Ghassemi, Mengling Feng
2015	A*	`conf`	A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data. AAAI Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann, Thomas Brennan, David A. Clifton, Peter Szolovits, Mengling Feng
2015	J	`jnl`	Supporting Exploratory Hypothesis Testing and Analysis. ACM Trans. Knowl. Discov. Data Guimei Liu, Haojun Zhang, Mengling Feng, Limsoon Wong, See-Kiong Ng
2014	Misc	`conf`	Big Data for Critical Care with Cloud-based In-Memory Database. AMIA Mengling Feng, Mohammad M. Ghassemi, Thomas Brennan, John Ellenberger, Ishrar Hussain, Roger G. Mark
2014	A*	`conf`	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 Mengling Feng, Mohammad M. Ghassemi, Thomas Brennan, John Ellenberger, Ishrar Hussain, Roger G. Mark
2014	—	`conf`	Predicting Heart Beats using Co-occurring Constrained Sequential Patterns. CinC Shameek Ghosh, Mengling Feng, Hung T. Nguyen, Jinyan Li
2014	Misc	`conf`	Risk Prediction for Acute Hypotensive Patients by Using Gap Constrained Sequential Contrast Patterns. AMIA Shameek Ghosh, Mengling Feng, Hung T. Nguyen, Jinyan Li
2013	Misc	`conf`	An online approach for intracranial pressure forecasting based on signal decomposition and robust statistics. ICASSP Bin Han, Michael Muma, Mengling Feng, Abdelhak M. Zoubir
2013	—	`ch.`	Incremental Maintenance of Emerging Patterns. Contrast Data Mining Mengling Feng, Guozhu Dong
2012	B	`conf`	Artifact correction with robust statistics for non-stationary intracranial pressure signal monitoring. ICPR Mengling Feng, Liang Yu Loy, Kelvin Sim, Clifton Phua, Feng Zhang, Cuntai Guan
2012	A*	`conf`	AssocExplorer: an association rule visualization system for exploratory data analysis. KDD Guimei Liu, Andre Suchitra, Haojun Zhang, Mengling Feng, See-Kiong Ng, Limsoon Wong
2012	—	`conf`	Multi-signal Visualization of Physiology (MVP): A novel visualization dashboard for physiological monitoring of Traumatic Brain Injury patients. EMBC Kevin Sebastian, Vivian Sari, Liang Yu Loy, Feng Zhang, Zhuo Zhang, Mengling Feng
2012	B	`conf`	Online ICP forecast for patients with traumatic brain injury. ICPR Feng Zhang, Mengling Feng, Liang Yu Loy, Zhuo Zhang, Cuntai Guan
2012	J	`jnl`	Response: an empirical comparison of several recent epistatic interaction detection methods. Bioinform. Yue Wang, Guimei Liu, Mengling Feng, Limsoon Wong
2012	—	`conf`	Utilization of temporal information for intracranial pressure development trend forecasting in traumatic brain injury. EMBC Mengling Feng, Zhuo Zhang, Cuntai Guan, David R. Hardoon, Nicolas Kon Kam King, Boon Chuan Pang, Beng Ti Ang
2011	J	`jnl`	An empirical comparison of several recent epistatic interaction detection methods. Bioinform. Yue Wang, Guimei Liu, Mengling Feng, Limsoon Wong
2011	—	`conf`	Artifact removal for intracranial pressure monitoring signals: A robust solution with signal decomposition. EMBC Mengling Feng, Liang Yu Loy, Feng Zhang, Cuntai Guan
2011	—	`conf`	Artificial neural network based intracranial pressure mean forecast algorithm for medical decision support. EMBC 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
2011	—	`conf`	Detection of Atrial fibrillation from non-episodic ECG data: A review of methods. EMBC Sujit Kumar Sahoo, Wenmiao Lu, Sintiani Dewi Teddy, Desok Kim, Mengling Feng
2011	A*	`conf`	Towards exploratory hypothesis testing and analysis. ICDE Guimei Liu, Mengling Feng, Yue Wang, Limsoon Wong, See-Kiong Ng, Tzia Liang Mah, Edmund Jon Deoon Lee
2011	—	`conf`	iSyNCC: An intelligent system for patient monitoring & clinical decision support in Neuro-Critical-Care. EMBC 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
2010	—	`conf`	Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL. PAKDD (1) Thanh-Son Ngo, Mengling Feng, Guimei Liu, Limsoon Wong
2010	J	`jnl`	Pattern Space Maintenance for Data Updates and Interactive Mining. Comput. Intell. Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong
2008	C	`conf`	Negative Generator Border for Effective Pattern Maintenance. ADMA Mengling Feng, Jinyan Li, Limsoon Wong, Yap-Peng Tan
2007	B	`conf`	Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed. PAKDD Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong
2005	A*	`conf`	Relative risk and odds ratio: a data mining perspective. PODS Haiquan Li, Jinyan Li, Limsoon Wong, Mengling Feng, Yap-Peng Tan
2004	A	`conf`	Adaptive binarization method for document image analysis. ICME Mengling Feng, Yap-Peng Tan
2004	J	`jnl`	Contrast adaptive binarization of low quality document images. IEICE Electron. Express Mengling Feng, Yap-Peng Tan