| 2026 | AAAI | Recovering Coherent Affective Patterns: Addressing Modality Missing in Multimodal Sentiment Analysis. | Huiting Huang, Tieliang Gong, Kai He, Wen Wen, Weizhan Zhang, Mengling Feng |
| 2026 | ACL | MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning. | Zhihui Chen, Kai He, Qingyuan Lei, Bin Pu, Jian Zhang, Yuling Xu, Mengling Feng |
| 2026 | KDD | medDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support. | Qianyi Xu, Gousia Habib, Feng Wu, Dilruk Perera, Mengling Feng |
| 2025 | ACL | Crab: A Novel Configurable Role-Playing LLM with Assessing Benchmark. | Kai He, Yucheng Huang, Wenqing Wang, Delong Ran, Dongming Sheng, Junxuan Huang, Qika Lin, Jiaxing Xu, Wenqiang Liu, Mengling Feng |
| 2025 | ACL | Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. | Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng |
| 2025 | AIME | PTransformer: A Prompt-Based Multimodal Transformer Architecture For Medical Tabular Data. | Yucheng Ruan, Xiang Lan, Daniel J. Tan, Hairil Rizal Abdullah, Mengling Feng |
| 2025 | EMNLP | InTriage: Intelligent Telephone Triage in Pre-Hospital Emergency Care. | Kai He, Qika Lin, Hao Fei, Eng Siong Chng, Dehan Hong, Marcus Eng Hock Ong, Mengling Feng |
| 2025 | EMNLP | DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains. | Zhihui Chen, Kai He, Yucheng Huang, Yunxiao Zhu, Mengling Feng |
| 2025 | ICCV | Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior. | Young Seok Jeon, Hongfei Yang, Huazhu Fu, Mengling Feng |
| 2025 | IJCAI | ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging. | Jingying Ma, Qika Lin, Ziyu Jia, Mengling Feng |
| 2025 | MICCAI | No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling. | Young Seok Jeon, Hongfei Yang, Huazhu Fu, Yeshe M. Kway, Mengling Feng |
| 2025 | MICCAI | BrainPrompt: Multi-level Brain Prompt Enhancement for Neurological Condition Identification. | Jiaxing Xu, Kai He, Yue Tang, Wei Li, Mengcheng Lan, Xia Dong, Yiping Ke, Mengling Feng |
| 2024 | ECCV | Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. | Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi |
| 2024 | ICLR | Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. | Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng |
| 2024 | KDD | 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, Hongfang Liu, Luxia Zhang |
| 2023 | IJCNN | Demystifying Complex Treatment Recommendations: A Hierarchical Cooperative Multi-Agent RL Approach. | Dilruk Perera, Siqi Liu, Mengling Feng |
| 2022 | AAAI | Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals. | Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng |
| 2021 | IJCNN | Adversarial Domain Adaptation with Correlation-Based Association Networks for Longitudinal Disk Fault Prediction. | Xiang Lan, Dianwen Ng, Yi Liu, Jiongzhou Liu, Fan Xu, Cheng He, Mengling Feng |
| 2019 | AMIA | Serial Heart Rate Variability Measures for Risk Prediction of Septic Patients in the Emergency Department. | Calvin Chiew, Han Wang, Marcus Eng Hock Ong, Ting Hway Wong, Zhixiong Koh, Nan Liu, Mengling Feng |
| 2015 | AAAI | 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 |
| 2014 | AMIA | 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 |
| 2014 | AMIA | Risk Prediction for Acute Hypotensive Patients by Using Gap Constrained Sequential Contrast Patterns. | Shameek Ghosh, Mengling Feng, Hung T. Nguyen, Jinyan Li |
| 2014 | KDD | 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 |
| 2013 | ICASSP | An online approach for intracranial pressure forecasting based on signal decomposition and robust statistics. | Bin Han, Michael Muma, Mengling Feng, Abdelhak M. Zoubir |
| 2012 | ICPR | 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 |
| 2012 | ICPR | Online ICP forecast for patients with traumatic brain injury. | Feng Zhang, Mengling Feng, Liang Yu Loy, Zhuo Zhang, Cuntai Guan |
| 2012 | KDD | AssocExplorer: an association rule visualization system for exploratory data analysis. | Guimei Liu, Andre Suchitra, Haojun Zhang, Mengling Feng, See-Kiong Ng, Limsoon Wong |
| 2011 | ICDE | Towards exploratory hypothesis testing and analysis. | Guimei Liu, Mengling Feng, Yue Wang, Limsoon Wong, See-Kiong Ng, Tzia Liang Mah, Edmund Jon Deoon Lee |
| 2010 | PAKDD | Efficiently Finding the Best Parameter for the Emerging Pattern-Based Classifier PCL. | Thanh-Son Ngo, Mengling Feng, Guimei Liu, Limsoon Wong |
| 2008 | ADMA | Negative Generator Border for Effective Pattern Maintenance. | Mengling Feng, Jinyan Li, Limsoon Wong, Yap-Peng Tan |
| 2007 | PAKDD | Evolution and Maintenance of Frequent Pattern Space When Transactions Are Removed. | Mengling Feng, Guozhu Dong, Jinyan Li, Yap-Peng Tan, Limsoon Wong |
| 2005 | PODS | Relative risk and odds ratio: a data mining perspective. | Haiquan Li, Jinyan Li, Limsoon Wong, Mengling Feng, Yap-Peng Tan |