RESEARCH OUTPUT

Publications & manuscripts

Full list in CV (PDF, opens in a new tab)

Publications and ongoing work in statistical learning, computation, and applications.

2026
STAI-X

The ATLAS Penalty: Auxiliary-Transformed Location-Aware Smoothing with Applications to Spatial Transcriptomics

Qian Tang, Eric Chi, and Wenyi Wang

The First Conference on Statistics and Trustworthy AI for Cross (X)-Domain Acceleration, 2026.

Location-aware smoothing for structured spatial transcriptomics data.

2025
NeurIPS

QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification

Qian Tang, Yuwen Gu, and Boxiang Wang

Advances in Neural Information Processing Systems 38.

Quantile-based classification for imbalanced data with many features and few observations.

2024
ICML

Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression

Qian Tang, Yikai Zhang, and Boxiang Wang

Proceedings of the 41st International Conference on Machine Learning, PMLR 235, 47865–47884.

Finite smoothing for accurate, efficient optimization of non-smooth statistical learning problems.

2026
Under review

Weighted Win Score Ratio for Composite Endpoints with Continuous Components

Qian Tang, X. Cai, and Yeh-Fong Chen

Submitted to the Journal of Biopharmaceutical Statistics.

Statistical methodology for comparing treatments using composite clinical endpoints.

Ongoing
In preparation

Bayesian Quantile-Based Discriminant Analysis

Qian Tang and Galin Jones

Research in progress.

Developing Bayesian approaches to high-dimensional imbalanced classification and uncertainty quantification.

Ongoing
In preparation

Transfer Learning for High-Dimensional Multiclass Distance Weighted Discrimination

Qian Tang, Boxiang Wang, and Hui Zou

Research in progress.

Transfer learning for high-dimensional multiclass classification using distance weighted discrimination.

BIBTEX CITATION

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