🐎 About Me

I’m Jingying Ma (马婧颖), a second-year PhD student 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

IJCAI 2025

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

• Preprint Structured Prototype-Guided Adaptation for EEG Foundation Models
  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
• ESWA 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
• Nature Health 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 FusionHas 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 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
• 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

🎖 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, KDD
• Journal Reviewer: IEEE TIST

🎓 Teaching

• 2026.01 - 2026.05, Teaching Assistant, SPH6004 Advanced Statistical Learning, National University of Singapore
• 2022.08 - 2023.07, Teaching Assistant, Computer Organization, Beihang University
• 2020.07 - 2021.02, Teaching Assistant, Advanced Language Program Design, Beihang University
• 2020.01 - 2020.06, Teaching Assistant, Mathematical analysis, Beihang University