Research Interests

1. Evaluation of large language models
2. Transfer learning and data integration
3. Bioinformatics and cancer biology

Publications and Preprints

Underline indicates supervised students; ⁺ indicates equal contribution; ^✉ indicates corresponding author.

2026

• An Interpretable and Scalable Framework for Evaluating Large Language Models
  X. Qu, Q. Heng, H. Zeng, and X. Liu^✉. (2026)
  Submitted. [arXiv] [code]

• Transfer Learning for Robust Structured Regression with Bi-level Source Detection
  H. Shi, Y. Feng, and X. Liu^✉. (2026)
  Submitted. [arXiv] [code]

2025

• Transfer Learning for Survival-based Clustering of Predictors with an Application to TP53 Mutation Annotation
  X. Liu^✉, H. Yan, H. Shi, E. Montellier, E. C. Chi, P. Hainaut, and W. Wang^✉. (2025)
  Submitted. [BibTex] [bioRxiv] [code]

• Anderson Accelerated Operator Splitting Methods for Convex-nonconvex Regularized Problems
  Q. Heng⁺, X. Liu⁺, and E. C. Chi. (2025)
  IEEE Open Journal of Signal Processing. [BibTex] [link] [code]

• A Deconvolution Framework that Uses Single-Cell Sequencing Plus a Small Benchmark Dataset for Improved Analysis of Cell-Type Ratios in Complex Tissue Samples
  S. Guo⁺, X. Liu⁺, X. Cheng⁺, et al., W. Wang. (2025)
  Genome Research, 35(1), 147-161. [BibTex] [link] [code] [tutorial]

• A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion
  X. Liu, X. Han, E. C. Chi, and B. Nadler. (2025)
  Journal of Computational and Graphical Statistics (JCGS), 1-13. [BibTex] [link] [code]

2021–2024

• Subclonal Mutation Load Predicts Survival and Response to Immunotherapy in Cancers with Low to Moderate Tumor Mutation Burden
  Y. Jiang, M. D. Montierth, K. Yu, S. Ji, S. Guo, Q. Tran, X. Liu, et al., W. Wang. (2024+)
  Submitted. [BibTex] [bioRxiv] [code]

• A Convex-Nonconvex Strategy for Grouped Variable Selection
  X. Liu, A. J. Molstad, and E. C. Chi. (2023)
  Electronic Journal of Statistics, 17(2), 2912-2961. [BibTex] [link] [code]

• A Sharper Computational Tool for L2E Regression
  X. Liu, E. C. Chi, and K. L. Lange. (2023)
  Technometrics, 65(1), 117-126. [BibTex] [link] [code]

• Revisiting Convexity-Preserving Signal Recovery with the Linearly Involved GMC Penalty
  X. Liu, and E. C. Chi. (2022)
  Pattern Recognition Letters, 156, 60-66. [BibTex] [link]

• An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions
  X. Liu, M. Vardhan, Q. Wen, A. Das, A. Randles, and E. C. Chi. (2021)
  In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 4432-4435. IEEE. [BibTex] [link]