Xiang Lan

According to our database, Xiang Lan authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations.

Deyun Zhang, Xiang Lan, Shijia Geng, Qinghao Zhao, Sumei Fan, Mengling Feng, Shenda Hong

CoRR, July, 2025

GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images.

Xiang Lan, Feng Wu, Kai He, Qinghao Zhao, Shenda Hong, Mengling Feng

CoRR, March, 2025

A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics.

Kai He, Rui Mao, Qika Lin, Yucheng Ruan, Xiang Lan, Mengling Feng, Erik Cambria

Inf. Fusion, 2025

PTransformer: A Prompt-Based Multimodal Transformer Architecture For Medical Tabular Data.

Yucheng Ruan, Xiang Lan, Daniel J. Tan, Hairil Rizal Abdullah, Mengling Feng

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024

Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution.

Yucheng Ruan, Xiang Lan, Jingying Ma, Yizhi Dong, Kai He, Mengling Feng

CoRR, 2024

Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach.

Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning.

Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Medical Intervention Duration Estimation Using Language-enhanced Transformer Encoder with Medical Prompts.

Yucheng Ruan, Xiang Lan, Daniel J. Tan, Hairil Rizal Abdullah, Mengling Feng

CoRR, 2023

Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach.

Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng

CoRR, 2023

2022

Federated Learning for Electronic Health Records.

Trung Kien Dang, Xiang Lan, Jianshu Weng, Mengling Feng

ACM Trans. Intell. Syst. Technol., 2022

Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals.

Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function.

Zhaowei Zhu, Xiang Lan, Tingting Zhao, Yangming Guo, Pipin Kojodjojo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Han Wang, Xingzhi Sun, Mengling Feng

CoRR, 2021

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

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

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, Xingzhi Sun, Mengling Feng

Proceedings of the Computing in Cardiology, 2020