Xiaochen Yang

This publication record appears to combine work from multiple distinct research areas, including few-shot and metric learning for image classification, adversarial robustness and video generation in computer vision, numerical methods for stochastic differential equations, and sensor/materials science applications such as nanoplastic detection and fuel cell modeling. Given the stated broad area of Computer Science, the core focus likely centers on machine learning topics like few-shot learning, deep metric learning, and domain adaptation, with other listed publications possibly reflecting shared author names or interdisciplinary collaborations. Prospective students should verify which specific subset of this work relates most directly to the advisor's primary lab focus.

Publication output has grown substantially over the last decade, rising from single-digit counts around 2017-2018 to over 20 publications per year in 2024-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026