About me

I'm Yucheng Xing (邢宇程), a PhD student at the Saw Swee Hock School of Public Health, National University of Singapore, supervised by A/Prof. Mengling Feng.

My research focuses on uncertainty quantification and evidential deep learning for medical AI — in particular survival prediction from whole-slide pathology images and multimodal clinical data, with an emphasis on calibration, robustness under domain shift, and missing modalities.

Open to collaborations. Feel free to reach out if you are interested in my research!

Publications

Preprint, 2026 Semantic-Anchored Evidential Fusion for Domain-Robust Whole-Slide Survival Analysis Yucheng Xing, Ling Huang, Pei Liu, et al., Mengling Feng

Preprint, 2026 Evidential Fusion Network for Multimodal Survival Prediction under Missing Modalities Yucheng Xing, Hailan Mo, Zi Wang, et al., Mengling Feng

Preprint, 2026 Bridging the Modality Bottleneck in Pathology MIL through Virtual Molecular Staining Yucheng Xing, Pei Liu, Jingying Ma, et al., Mengling Feng

Preprint, 2025 DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction Yucheng Xing, Ling Huang, Jingying Ma, et al., Mengling Feng

International Journal of Approximate Reasoning, 2025 Evidential time-to-event prediction with calibrated uncertainty quantification Ling Huang, Yucheng Xing, Swapnil Mishra, Thierry Denœux, Mengling Feng

IEEE Transactions on Fuzzy Systems, 2025 EsurvFusion: An Evidential Multimodal Survival Fusion Model Based on Epistemic Random Fuzzy Sets Ling Huang, Yucheng Xing, Qika Lin, et al., Mengling Feng

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

Preprint, 2026 Structured Prototype-Guided Adaptation for EEG Foundation Models Jingying Ma, Feng Wu, Yucheng Xing, et al., Mengling Feng

Lecture Notes in Computer Science (BELIEF), 2024 An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers Ling Huang, Yucheng Xing, Thierry Denœux, Mengling Feng

Medical Image Analysis, 2024 A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng

Full list on ResearchGate

Skills

Coding: Python, PyTorch, R, Linux
Research: uncertainty quantification, evidential deep learning, survival analysis, computational pathology
Technical writing: Markdown, LaTeX, HTML