I’m Yucheng Xing (邢宇程), a PhD student at the National University of Singapore (NUS), advised by Prof. Mengling Feng. My research focuses on information fusion, uncertainty quantification, survival analysis, and computational pathology.
I am always open to collaborations. If you share similar interests, please feel free to reach out.
📝 Publications
*: Equal Contribution
Yucheng Xing, Ling Huang, Jingying Ma, Ruping Hong, Jiangdong Qiu, Pei Liu, Kai He, Huazhu Fu, Mengling Feng
Semantic-Anchored Evidential Fusion for Domain-Robust Whole-Slide Survival Analysis
Yucheng Xing, Ling Huang, Pei Liu, Jingying Ma, Jiaqing Xu, Kai He, Mengling Feng
ECCV, 2026 | arXiv
EsurvFusion: An Evidential Multimodal Survival Fusion Model Based on Epistemic Random Fuzzy Sets
Ling Huang*, Yucheng Xing*, Qika Lin, Jinming Duan, Su Ruan, Mengling Feng
IEEE Transactions on Fuzzy Systems, 2025 | arXiv | IEEE Xplore
Evidential Fusion Network for Multimodal Survival Prediction under Missing Modalities
Yucheng Xing*, Hailan Mo*, Zi Wang, Ling Huang, Mengling Feng
MICCAI, 2026 | arXiv
- 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
- Medical Image Analysis A Review of Uncertainty Quantification in Medical Image Analysis: Probabilistic and Non-Probabilistic Methods, Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng, 2024
- International Journal of Approximate Reasoning Evidential Time-to-Event Prediction with Calibrated Uncertainty Quantification, Ling Huang, Yucheng Xing, Swapnil Mishra, Thierry Denœux, Mengling Feng, 2025
- BELIEF 2024 An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers, Ling Huang, Yucheng Xing, Thierry Denœux, Mengling Feng, 2024
- CVPR 2026 Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis, Pei Liu, Xiangxiang Zeng, Tengfei Ma, Yucheng Xing, Xuanbai Ren, Yiping Liu, 2026
- Preprint Bridging the Modality Bottleneck in Pathology MIL through Virtual Molecular Staining, Yucheng Xing, Pei Liu, Jingying Ma, Ruping Hong, Jiangdong Qiu, Tianyu Liu, Kai He, Ling Huang, Mengling Feng, 2026
- 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, 2026
🎖 Honors and Awards
- 2022 SG Healthcare AI Datathon, Second Runner-up
- Beihang University Excellent Scholarship (Academic Year 2020-2021)
- Beihang University Excellent Scholarship (Academic Year 2019-2020)
- The 31st Mathematics Competition for College Students in Beijing, Third Prize
- The 12th National Mathematics Competition for College Students, Third Prize
📖 Educations
- 2024.08 - now, Ph.D., Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- 2022.08 - 2024.01, M.Sc., Statistics, National University of Singapore, Singapore
- 2019.09 - 2022.06, B.S. (Minor), Mathematics and Applied Mathematics, Beihang University, China
- 2018.09 - 2022.06, B.S., Economics Statistics, School of Economics and Management, Beihang University, China
💻 Experience
- 2021.07 - 2021.10, Data Analyst Intern, Beijing ByteDance Technology Co., Ltd
- 2021.01 - 2021.02, Audit Department Intern, KPMG
- 2020.10 - 2020.12, Quantitative Financial Analyst Intern, SAS Software China
💬 Academic Services
- Conference Reviewer: ICML, NeurIPS, MICCAI
- Journal Reviewer: IEEE Transactions on Affective Computing, ACM Transactions on Intelligent Systems and Technology (TIST), Information Fusion, Pattern Recognition