Xiang Lan - RankMe

20 papers A* 2B 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation. CoRR Jiarui Jin, Haoyu Wang, Xingliang Wu, Xiaocheng Fang, Xiang Lan, Zihan Wang, Deyun Zhang, Bo Liu, Yingying Zhang, Xian Wu, Hongyan Li, Shenda Hong
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`	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`	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	—	`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`	UniECG: Understanding and Generating ECG in One Unified Model. CoRR Jiarui Jin, Haoyu Wang, Xiang Lan, Jun Li, Gaofeng Cheng, Hongyan Li, Shenda Hong
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	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`	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`	Towards Better Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach. CoRR Xiang Lan, Hanshu Yan, Shenda Hong, 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
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	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`	Intra-Inter Subject Self-supervised Learning for Multivariate Cardiac Signals. CoRR Xiang Lan, Dianwen Ng, Shenda Hong, 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