Yixiu Liang

According to our database, Yixiu Liang authored at least 5 papers between 2025 and 2026.

Collaborative distances:

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

2026

A Signal-Language Foundation Model for Broad-Spectrum Cardiovascular Assessment from Routine Electrocardiography.

Ziqing Yu, Yuhui Tao, Jiayu Huo, Lei Pan, Zilong Xiao, Juecheng Chen, Xiao Li, Jianxuan Li, You Zhou, Zhixing Li, Cong Wang, Beijian Zhang, Chen Chen, Hongyang Lu, Konstantinos Patlatzoglou, Daniel B. Kramer, Jonathan W. Waks, Yangang Su, Fu Siong Ng, Shuo Wang, Yixiu Liang, Junbo Ge

CoRR, May, 2026

Mirror: A Multi-Agent System for AI-Assisted Ethics Review.

Yifan Ding, Yuhui Shi, Zhiyan Li, Zilong Wang, Yifeng Gao, Yajun Yang, Mengjie Yang, Yixiu Liang, Xipeng Qiu, Xuanjing Huang, Xingjun Ma, Yu-Gang Jiang, Guoyu Wang

CoRR, February, 2026

Tracing the Heart's Pathways: ECG Representation Learning from a Cardiac Conduction Perspective.

Tan Pan, Yixuan Sun, Chen Jiang, Qiong Gao, Rui Sun, Xingmeng Zhang, Zhenqi Yang, Limei Han, Yixiu Liang, Yuan Cheng, Kaiyu Guo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Data distribution impacts the performance and generalisability of contrastive learning-based foundation models of electrocardiograms.

Gul Rukh Khattak, Konstantinos Patlatzoglou, Joseph Barker, Libor Pastika, Boroumand Zeidaabadi, Ahmed El-Medany, Hesham Aggour, Yixiu Liang, Antônio H. Ribeiro, Jeffrey Annis, Antônio Luiz Pinho Ribeiro, Junbo Ge, Daniel B. Kramer, Jonathan W. Waks, Evan Brittain, Nicholas S. Peters, Fu Siong Ng, Arunashis Sau

CoRR, September, 2025

Contrasting by Augmented Patient Electrocardiograms to Learn Representations for a Foundation Model.

Gul Rukh Khattak, Konstantinos Patlatzoglou, Yixiu Liang, Libor Pastika, Boroumand Zeidaabadi, Joseph Barker, Mehak Gurnani, Antônio H. Ribeiro, Jeffrey Annis, Antônio L. P. Ribeiro, Nicholas S. Peters, Junbo Ge, Daniel B. Kramer, Jonathan W. Waks, Evan Brittain, Arunashis Sau, Fu Siong Ng

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