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)

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)

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)

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

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

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)

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)

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)

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)

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)

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)

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)