Jianwen Xiang — accepted AI-conference papers

2026

Distributed Image Compression with Multimodal Side Information at Extremely Low Bitrates

Guojun Xu, Mingyang Zhang, Jianwen Xiang, Cheng Tan, Yanchao Yang, Junwei Zhou

CVPR 2026

Distributed Image Compression (DIC) is crucial for multi-view transmission, especially when operating at extremely low bitrates (< 0.1 bpp). Its core challenge is effectively utilizing side information to achieve high-quality reconstruction under strict bitrate budgets. However, existing DIC approac

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2026

Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning

Baogang Song, Dongdong Zhao, Jianwen Xiang, Qiben Xu, Zizhuo Yu

AAAI 2026technical

Backdoor attacks pose a persistent security risk to deep neural networks (DNNs) due to their stealth and durability. While recent research has explored leveraging model unlearning mechanisms to enhance backdoor concealment, existing attack strategies still leave persistent traces that may be detecte

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