Co-authors
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Resume (English only)
Academic Achievements
- Published 'Argus: A Compact and Versatile Foundation Model for Vision' at CVPR 2025.
- Published 'Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model' at WWW 2025 (Oral).
- Published 'Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning' at AAAI 2025 (co-first author).
- Published two papers at ICML 2024: 'How to Trace Latent Generative Model Generated Images without Artificial Watermark?' and 'COALA: A Practical and Vision-Centric Federated Learning Platform'.
- Published 'A Simple Background Augmentation Method for Object Detection with Diffusion Model' at ECCV 2024.
- Published 'FedMef: Towards Memory-efficient Federated Dynamic Pruning' at CVPR 2024.
- Published two papers at ICLR 2024: 'Detecting, Explaining, and Mitigating Memorization in Diffusion Models' (Oral) and 'DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models'.
- Published two papers at NeurIPS 2023: 'Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning' and 'Where Did I Come From? Origin Attribution of AI-Generated Images'.
- Published 'TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation' at ICCV 2023.
- Published 'Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting' at ICML 2023 (co-first author).