🐎 About Me

I’m Jingying Ma (马婧颖), a PhD candidate at National University of Singapore (NUS), supervised by Prof. Mornin Feng. My current research focuses on medical time-series modeling and brain foundation models.

I am always open to collaborations. If you share similar interests, please feel free to reach out.

📝 Publications

‡: Co-First Authors

ICLR 2026

CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model
Jingying Ma‡, Feng Wu‡, Qika Lin, Yucheng Xing, Chenyu Liu, Ziyu Jia, Mengling Feng

npj Artificial Intelligence 2026

LogicSleep: A Neurosymbolic-Guided Framework for Explainable and Personalized Sleep Staging
Jingying Ma, Qika Lin, Feng Wu, Yucheng Xing, Ziyu Jia, Mengling Feng

IJCAI 2025

ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging
Jingying Ma, Qika Lin, Ziyu Jia, Mengling Feng

• Preprint SCOPE: Structured Prototype-Guided Adaptation for EEG Foundation Models with Limited Labels
  Jingying Ma‡, Feng Wu‡, Yucheng Xing, Qika Lin, Tianyu Liu, Chenyu Liu, Ziyu Jia, Mengling Feng
• Preprint Development and Validation of a Dynamic Kidney Failure Prediction Model Based on Deep Learning: A Real-World Study with External Validation
  Jingying Ma‡, Jinwei Wang‡, Lanlan Lu, Yexiang Sun, Mengling Feng, Peng Shen, Zhiqin Jiang, Shenda Hong, Luxia Zhang
• BSPC 2026 Simultaneous polysomnography and cardiotocography reveal temporal correlation between maternal obstructive sleep apnea and fetal hypoxia
  Jingyu Wang‡, Donglin Xie‡, Jingying Ma‡, Yunliang Sun, Linyan Zhang, Rui Bai, Zelin Tu, Liyue Xu, Jun Wei, Jingjing Yang, Yanan Liu, Chuanhou Zhang, Leilei Zhang, Huijie Yi, Bing Zhou, Long Zhao, Xueli Zhang, Mengling Feng, Xiaosong Dong, Thomas Penzel, Guoli Liu, Shenda Hong, Fang Han
• ESWA 2023 Signal Quality Index for the fetal heart rates: Development and improvements for fetal monitoring
  Jingyu Wang‡, Jingying Ma‡, Shenda Hong, Chi Zhang, Jianliu Wang, Linyan Zhang, Xinran Liu, Rui Bai, Xiaosong Dong, Guoli Liu, Fang Han

• Preprint Toward a Multi-View Brain Network Foundation Model: Cross-View Consistency Learning Across Arbitrary Atlases
  Jiaxing Xu, Jingying Ma, Xin Lin, Yuxiao Liu, Kai He, Qika Lin, Yiping Ke, Yang Li, Dinggang Shen, Mengling Feng
• Preprint Language modeling on tabular data: A survey of foundations, techniques and evolution
  Yucheng Ruan, Xiang Lan, Jingying Ma, Yizhi Dong, Kai He, Mengling Feng
• Health Data Science 2026 AutoFRAIL: using electronic medical records to identify frailty with machine learning in primary care
  Wenshan Qu, Wayne Han Lee, Jingying Ma, John Tshon Yit Soong, Mengling Feng
• ICML 2026 EmBrace: A Collective Knowledge Fusion Framework Toward Unified EEG Foundation Models
  Ziyu Jia, Junyi Lin, Pu Wan, Jinxin Pi, Jingying Ma, Peiliang Gong, Xinliang Zhou, Yi Ding, Chenyu Liu
• ICML 2026 DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction
  Yucheng Xing, Ling Huang, Jingying Ma, Ruping Hong, Jiangdong Qiu, Pei Liu, Kai He, Huazhu Fu, Mengling Feng
• Nature Health 2026 Artificial intelligence for public health can harness data for healthier populations
  Mengling Feng, Swapnil Mishra, Jingying Ma, Seth Flaxman, Samir Bhatt, Josip Car, Li Yang Hsu, Tien Yin Wong
• Information Fusion 2025 Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey
  Qika Lin, Yifan Zhu, Xin Mei, Ling Huang, Jingying Ma, Kai He, Zhen Peng, Erik Cambria, Mengling Feng
• ACL 2025 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
• npj Women’s Health 2024 Deep learning with information fusion and model interpretation for long-term prenatal fetal heart rate data
  Zenghui Lin, Xintong Liu, Nan Wang, Ruichen Li, Qingao Liu, Jingying Ma, Liwei Wang, Yan Wang, Shenda Hong

🎖 Honors and Awards

• 2024.08 President’s Graduate Fellowship, National University of Singapore
• 2023.06 Excellent Graduate of Beijing
• 2022.05 Mathematical Contest in Modeling, Meritorious Winner
• 2021.12 CASC Baosteel Scholarship (Awarded to 2 undergraduate students university-wide)
• 2021.11 Gaojiaoshe Cup Contemporary Undergraduate Mathematical Contest in Modeling, National Second Prize
• 2020.12 China National Scholarship

📖 Educations

• 2024.08 - now, Ph.D., Saw Swee Hock School of Public Health, National University of Singapore, Singapore
• 2020.09 - 2023.06, B.S. (Minor), Mathematics and Applied Mathematics, Beihang University, China
• 2019.09 - 2023.06, B.E., Computer Science, Beihang University, China

💻 Experience

• 2023.08 - 2024.07, Research Assistant, Saw Swee Hock School of Public Health, National University of Singapore, supervised by Prof. Mornin Feng.
• 2021.09 - 2023.07, Research Intern, National Institute of Health Data Science, Peking University, supervised by Prof. Shenda Hong.

💬 Academic Services

• Conference Reviewer: ICML, NeurIPS, ICLR, KDD, AAAI
• Journal Reviewer: IEEE TIST

🎓 Teaching

• 2026.01 - 2026.05, Teaching Assistant, SPH6004 Advanced Statistical Learning, National University of Singapore
• 2022.08 - 2023.01, Teaching Assistant, Computer Organization, Beihang University
• 2020.08 - 2021.01, Teaching Assistant, Advanced Language Program Design, Beihang University
• 2020.02 - 2020.07, Teaching Assistant, Mathematical analysis, Beihang University