Publications

Different scales. A shared pursuit of understanding.

My research connects stochastic dynamics, statistical methodology and computational biology. These three threads offer a guide to the work; the complete bibliography below preserves each paper’s original title, authors and publication status.

01 RESEARCH THEME

Stochastic Dynamics & Quantitative Biology

What can fluctuations reveal about living systems?

Connecting molecular observations to stochastic models, with a current focus on fluorescence correlation spectroscopy and photon-counting data.

FCS · Stochastic processes · Semi-Markov models

FCS and photon-counting inference are ongoing research; the linked preprints address stochastic-process methods.

02 RESEARCH THEME

Statistical Methodology

How can we learn more from the measurements we can afford?

Designing informative experiments and developing statistical methods for survival, multistate and biomedical data.

Optimal design · Survival · Multistate models

Journal articles and methodological preprints, with publication status shown for each record.

03 RESEARCH THEME

Computational Biology & AI

How can computational models make biological variation interpretable?

Modeling single-cell trends and biomedical measurements, alongside work on representation learning and scientific optimization.

scGTM · Single-cell data · Machine learning

Published work spanning biological data analysis and machine learning.

THE COMPLETE RECORD

Publications & Preprints

Browse by publication type, with newest records first within each section. Also on Google Scholar ↗.

Journal & Conference Articles 10

  1. DSS-Prompt: Dynamic-Static Synergistic Prompting for Few-Shot Class-Incremental Learning
    Linpu He, Yanan Li, Bingze Li, Elvis Han Cui, Donghui Wang, 2025
    ACM Multimedia 2025
    [paper][arxiv]
  2. Impact on Pulp Vitality of Affected Teeth after Decompression for Jaw Cystic Lesions
    Yi Zhang, Jingang Yang, Elvis Han Cui, Yiran Tan, Yun Zhu, Jie Gao, Jie Li, Linfeng Fan, Lingling Cai, Yuhua Hu, Zhengwei Huang, Shanghui Zhou, 2025
    Journal of Endodontics, 51(9), 1170–1176
    [paper][pubmed]
  3. PDXpower: A Power Analysis Tool for Experimental Design in Pre-clinical Xenograft Studies for Uncensored and Censored Outcomes
    Shanpeng Li, Donatello Telesca, Harley I. Kornblum, David Nathanson, Frank Pajonk, Elvis Han Cui, Joycelynne Palmer, Gang Li, 2025
    The New England Journal of Statistics in Data Science, 3(1), 42–54
    [paper][full text][R package]
  4. Optimal designs for nonlinear mixed-effects models using competitive swarm optimizer with mutated agents
    Elvis Han Cui, Zizhao Zhang, Weng Kee Wong, 2024
    Statistics and Computing, 34, 156
    [paper][preprint]
  5. Applications of nature-inspired metaheuristic algorithms for tackling optimization problems across disciplines
    Elvis Han Cui, Zizhao Zhang, Culsome Junwen Chen, Weng Kee Wong, 2024
    Scientific Reports, 14, 9403
    [paper][arxiv]
  6. Investigating the value of glucodensity analysis of continuous glucose monitoring data in type 1 diabetes: an exploratory analysis
    Elvis Han Cui, Allison B. Goldfine, Michelle Quinlan, David A. James, Oleksandr Sverdlov, 2023
    Frontiers in Clinical Diabetes and Healthcare, 4, 1244613
    [paper]
  7. Markovian Structures in Modelling SARS-COV-2
    Elvis Han Cui, Weng Kee Wong, 2022
    Journal of Infectious Diseases & Therapy, 10(6), 517
    [paper][preprint]
  8. Single-cell generalized trend model (scGTM): a flexible and interpretable model of gene expression trend along cell pseudotime
    Elvis Han Cui, Dongyuan Song, Weng Kee Wong, Jingyi Jessica Li, 2022
    Bioinformatics, 38(16), 3927–3934
    [paper][code][preprint]
  9. A model-based approach to designing developmental toxicology experiments using sea urchin embryos
    Michael D. Collins, Elvis Han Cui, Seung Won Hyun, Weng Kee Wong, 2022
    Archives of Toxicology, 96, 919–932
    [paper][full text][app]
  10. Inference Fusion with Associative Semantics for Unseen Object Detection
    Yanan Li, Pengyang Li, Han Cui, Donghui Wang, 2021
    Proceedings of the AAAI Conference on Artificial Intelligence, 35(3), 1993–2001
    [paper]

Preprints & Working Papers 16

  1. Spending Scarce Confirmatory PET Measurements: Target-Aligned Validation in A4/LEARN
    Eliuvish Han Cui, 2026
    arXiv:2608.22223 · revised September 2026
    [arxiv]
  2. Domain-Adaptive Cuckoo Search for Structured Statistical Optimization: Applications to Principal Curves, Single-Cell Trajectory Inference, and Exact Experimental Design
    Elvis Han Cui, Heather Xihe Yu, Weng Kee Wong, 2026
    SSRN working paper 6669351
    Related manuscript: Metaheuristics Meets Statistics (2025), with Heather Xihe Yu, Guanghao Qi, and Weng Kee Wong.
    [SSRN][code][related 2025 preprint]
  3. Crossing the Kolmogorov-Smirnov Boundary: Exact Tails, Sharp Bounds, and Broken Pivots
    Elvis Han Cui, Yihao Li, Zhuang Liu, 2025
    arXiv:2503.11673 · revised May 2026
    Earlier title: The Kolmogorov-Smirnov Statistic Revisited.
    [arxiv]
  4. Failure of Optimal Design Theory? A Case Study in Toxicology Using Sequential Robust Optimal Design Framework
    Elvis Han Cui, Michael Collins, Jessica Munson, Weng Kee Wong, 2025
    arXiv:2503.00002
    [arxiv]
  5. Markov Renewal Proportional Hazards is All You Need
    Elvis Han Cui, 2025
    arXiv:2502.03479 · revised September 2025
    Earlier title: A Tutorial on Markov Renewal and Semi-Markov Proportional Hazards Model.
    [arxiv]
  6. A Semiparametric Bayesian Method for Instrumental Variable Analysis with Partly Interval-Censored Time-to-Event Outcome
    Elvis Han Cui, Xuyang Lu, Jin Zhou, Hua Zhou, Gang Li, 2025
    arXiv:2501.14837
    [arxiv]
  7. Metaheuristics is All You Need
    Eliuvish Cuicizion, Haowen Xu, Weng Kee Wong, 2024
    arXiv:2411.05797 · revised March 2025
    Earlier title: What is Metaheuristics? A Primer for the Epidemiologists.
    [arxiv]
  8. Brownian Motion with a Pulse: A Biostatistician's Guide to Diffusions, Bridges, Functional PCA, and First-Passage Models
    Eliuvish Han Cui, 2024
    arXiv:2408.16011 · revised June 2026
    Earlier title: A Tutorial on Brownian Motion for Biostatisticians.
    [arxiv]
  9. A Metric-based Principal Curve Approach for Learning One-dimensional Manifold
    Eliuvish Cuicizion, 2024
    arXiv:2405.12390 · revised March 2025
    [arxiv]
  10. A Tutorial on Asymptotic Properties for Biostatisticians with Applications to COVID-19 Data
    Elvis Han Cui, 2022
    arXiv:2211.07351 · revised September 2024
    [arxiv]
  11. From Risk Sets to Martingales: A Counting-Process Framework for Event-History Learning
    Eliuvish Han Cui, 2022
    arXiv:2210.07114 · revised June 2026
    Earlier title: A Tutorial on Statistical Models Based on Counting Processes.
    [arxiv]
  12. D-optimal Approximate Design for Binary Regression and Quantal Response in Toxicology Studies
    Elvis Han Cui, 2022
    arXiv:2209.13191
    [arxiv]
  13. Dual Path Structural Contrastive Embeddings for Learning Novel Objects
    Bingbin Li, Elvis Han Cui, Yanan Li, Donghui Wang, Weng Kee Wong, 2021
    arXiv:2112.12359 · revised January 2022
    [arxiv]
  14. Class-Incremental Few-Shot Object Detection
    Pengyang Li, Yanan Li, Han Cui, Donghui Wang, 2021
    arXiv:2105.07637 · revised December 2021
    [arxiv]
  15. Particle swarm optimization in constrained maximum likelihood estimation a case study
    Elvis Cui, Dongyuan Song, Weng Kee Wong, 2021
    arXiv:2104.10041
    [arxiv]
  16. Projection Pursuit with Applications to scRNA Sequencing Data
    Elvis Han Cui, Heather Zhou, 2019
    arXiv:1912.07602 · revised October 2022
    [arxiv]

Monograph & Dissertation 2

  1. The Statistical Compass
    Eliuvish Han Cui, 2026
    Textbook / monograph working manuscript · arXiv:2606.11282
    Working manuscript, not a publisher-issued book.
    [arxiv]
  2. Nature-inspired Metaheuristics for Biostatistical and Biomedical Research
    Elvis Han Cui, 2024
    Ph.D. dissertation, Biostatistics, University of California, Los Angeles
    [UCLA repository][PDF]

Updated September 2026. Titles and author names follow the linked records. Years indicate publication or first posting; later revisions are noted separately. Published articles and their companion preprints share one entry. Preprints and working manuscripts are not presented as peer-reviewed publications.