publications

2026

1. Revisiting Prototype Rehearsal for Exemplar-Free Continual Learning: Manifold-Aware Boundary Sampling with Adaptive Class-Balanced Loss

   Hongye Xu and Bartosz Krawczyk

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026

   Code
2. Two-Way Is Better Than One: Bidirectional Alignment with Cycle Consistency for Exemplar-Free Class-Incremental Learning

   Hongye Xu and Bartosz Krawczyk

   In The Fourteenth International Conference on Learning Representations, 2026

   Code

2024

1. Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning

   Hongye Xu, Jan Wasilewski, and Bartosz Krawczyk

   arXiv preprint arXiv:2412.14430, 2024

   Code
2. A systematic evaluation of computational methods for cell segmentation

   Yuxing Wang, Junhan Zhao, Hongye Xu, and 6 more authors

   Briefings in bioinformatics, 2024

   Code

2023

1. Exploiting logic locking for a neural trojan attack on machine learning accelerators

   Hongye Xu, Dongfang Liu, Cory Merkel, and 1 more author

   In Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022

1. In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes

   Alireza Naghizadeh, Wei-chung Tsao, Jong Hyun Cho, and 7 more authors

   PLoS computational biology, 2022

2021

1. Semantic aware data augmentation for cell nuclei microscopical images with artificial neural networks

   Alireza Naghizadeh, Hongye Xu, Mohab Mohamed, and 2 more authors

   In Proceedings of the IEEE/CVF international conference on computer vision, 2021