Honorary Award for Excellent Paper at CICIRM 2026

Actuarial and Quantitative Analysis

I’m delighted to share that our paper, Diachronic Sample Integration: Robust Tail-Risk Estimation with Generative Models, received the Honorary Award for Excellent Paper in Actuarial and Quantitative Analysis at CICIRM 2026.

The paper introduces Diachronic Sample Integration (DSI), a framework for improving the reliability of tail-risk estimates produced by generative models by reducing estimation instability and improve the measurement of tail-dependent quantities such as Value-at-Risk and Expected Shortfall.

Award certificate for the Actuarial and Quantitative Analysis Research Paper Award at CICIRM 2026

This recognition means a great deal to us, and I am grateful to my co-authors, collaborators, the conference organizers, and everyone who provided feedback throughout the project.

We are excited to continue developing this work and hope for the very best as the paper moves forward in its publication journey.

The full paper is available on arXiv, with further detail on the publication page and the presentation announcement.

Shuning Zhao (赵舒宁)
Shuning Zhao (赵舒宁)
Ph.D. Candidate - Department of Computer Science and Technology, Tsinghua University

My research interests include the application of Artificial Intelligence and Machine Learning in Finance, Insurance, Speech, and Audio domains.