Weijia Shao

According to our database, Weijia Shao authored at least 12 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

TabSCM: A practical Framework for Generating Realistic Tabular Data.

Sven Jacob, Bardh Prenkaj, Weijia Shao, Gjergji Kasneci

CoRR, April, 2026

Stylized Synthetic Augmentation Further Improves Corruption Robustness.

Georg Siedel, Rojan Regmi, Abhirami Anand, Weijia Shao, Silvia Vock, Andrey Morozov

Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

2025

Combined Image Data Augmentations Diminish the Benefits of Adaptive Label Smoothing.

Georg Siedel, Ekagra Gupta, Weijia Shao, Silvia Vock, Andrey Morozov

Proceedings of the Pattern Recognition - 47th DAGM German Conference, 2025

Structured Universal Adversarial Attacks on Object Detection for Video Sequences.

Sven Jacob, Weijia Shao, Gjergji Kasneci

Proceedings of the Pattern Recognition - 47th DAGM German Conference, 2025

2024

Investigating the Corruption Robustness of Image Classifiers with Random p-norm Corruptions.

Georg Siedel, Weijia Shao, Silvia Vock, Andrey Morozov

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes.

Weijia Shao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion.

Jing Yuan, Christian Geißler, Weijia Shao, Andreas Lommatzsch, Brijnesh J. Jain

Int. J. Data Sci. Anal., August, 2023

Adaptive optimisation of composite objectives with exponentiated gradient: a family of algorithms for high-dimensional and sparse targets.

Weijia Shao

PhD thesis, 2023

2022

Optimistic optimisation of composite objective with exponentiated update.

Weijia Shao, Fikret Sivrikaya, Sahin Albayrak

Mach. Learn., 2022

Adaptive Stochastic Optimisation of Nonconvex Composite Objectives.

Weijia Shao, Fikret Sivrikaya, Sahin Albayrak

CoRR, 2022

Adaptive Zeroth-Order Optimisation of Nonconvex Composite Objectives.

Weijia Shao, Sahin Albayrak

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2019

Graduated Optimization of Black-Box Functions.

Weijia Shao, Christian Geißler, Fikret Sivrikaya

CoRR, 2019