Jiexi Yan

Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning

2023

Exploring good generalization ability is essential in deep metric learning (DML). Most existing DML methods focus on improving the model robustness against category shift to keep the performance on unseen categories. However, in addition to …

Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Dataset distillation has achieved remarkable progress as an effective approach for data compression. However, real-world data often comes from diverse domains, leading to potential mismatches between the domains of synthesized images and those of the …

Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Continual learning for action recognition is a critical capability for next-generation Extended Reality (XR) systems. Yet it faces a severe real-world challenge: strict user privacy that prohibits data rehearsal. While recent prompt-based continual learning methods …