Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0009-0006-9397-2125
Scopus Author ID: 56262508200
Impact
Qualifications (Brief)
BSc (University of Science and Technology of China)
PhD (Columbia University)
Research Interests/Areas
- Survival Analysis
- Statistical Machine Learning
- Network Model
- Model Selection
- Empirical Likelihood
- Statistical Genetics
Teaching
- Jan 2023 - May 2023, BIOS6902 Statistical Inference.
- Aug 2022 - Dec 2022, BIOS5800 Probability.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations from the last five years
Recent external collaboration based on locations. Dive into details by clicking on the dots or
Research output
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Multimodal Fusion Network with Distribution-Based Tumor-Marker Imputation for Multi-origin Metastatic Cervical Lymphadenopathy Classification
Li, R. (Co-first Author), Li, C. (Co-first Author), Lin, X., XU, J., Li, F. & Lu, Y., 2026, Medical Image Computing and Computer Assisted Intervention – MICCAI 2025: 28th International Conference Daejeon, South Korea, September 23–27, 2025 Proceedings, Part I. Gee, J. C., Alexander, D. C., Hong, J. & Iglesias, J. E. (eds.). Cham: Springer , Vol. 15960. p. 450-459 (Lecture Notes in Computer Science; vol. 15960 LNCS).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Adaptive stratified sampling design in two-phase studies for average causal effect estimation
Zeng, M., Wang, Q., Sui, Z., Zhang, H. & Xu, J., Dec 2025, In: Biometrics. 81, 4, ujaf143.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Estimating longitudinal biomarker effects using a Lasso-network constrained time-Varying mixed effects model
Liu, S., Zhuang, W., Xu, J., Xu, S. & Yuan, M., 15 Apr 2025, (Online published) In: Journal of Applied Statistics.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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Likelihood Ratio Tests in Random Graph Models with Increasing Dimensions
Yan, T., Li, Y., Xu, J., Yang, Y. & Zhu, J., 2025, In: Journal of the American Statistical Association. 120, 552, p. 2723-2736 14 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
1 Citation (Scopus) -
SPLasso for high-dimensional additive hazards regression with covariate measurement error
Zhang, J., Liu, H., Chen, X. & Xu, J., Dec 2025, In: Biometrics. 81, 4, 10 p., uajf130.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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GRF: An Additive Intensity Framework for Continuous-time Network Data
XU, J. (Principal Investigator / Project Coordinator)
1/10/25 → …
Project: Research
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NSFC-SF-SRI: 基于治疗响应的鼻咽癌适应性诊疗策略的建立和临床验证（联合申请A）
孙颖 (Main Project Coordinator [External]), XU, J. (Principal Investigator / Project Coordinator), 焦增涛 (Co-Principal Investigator), Yuan, G. (Co-Investigator), 刁文超 (Co-Investigator), 周冠群 (Co-Investigator), 姜晓勃 (Co-Investigator), 徐凌芯 (Co-Investigator) & 李卉 (Co-Investigator)
1/01/25 → …
Project: Research
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GRF: Dynamic and Large-scale Network Survival Analysis
XU, J. (Principal Investigator / Project Coordinator)
31/07/20 → 11/07/25
Project: Research