MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract). - Xuan Liu 001; Siqi Cai 001; Lin Li 001; Rui Zhang 080; Song Guo 001 (AAAI, 2023)

A Mutual Implicit Sentiment Analysis Model with Bundle-Aware Contrastive Learning. - Siqi Cai 001; Jingling Yuan; Lin Li 001 (ICASSP, 2023)

AMLFN-AD:Adaptive multi-level integrated fusion attack detection framework for intelligent building systems. - Jingling Yuan; Nana Wang; Siqi Cai 001; Mincheng Chen; Xinping Li (Comput. Networks, 2023)

Gradient Diffusion: A Perturbation-Resilient Gradient Leakage Attack. - Xuan Liu 001; Siqi Cai 001; Qihua Zhou; Song Guo 001; Ruibin Li; Kaiwei Lin (CoRR, 2024)

Mutual Gradient Inversion: Unveiling Privacy Risks of Federated Learning on Multi-Modal Signals. - Xuan Liu 001; Siqi Cai 001; Renjie He; Jingling Yuan (IEEE Signal Process. Lett., 2024)

A multi-scale re-parameterization enhanced bilateral lightweight crack detection model for low-quality environments. - Jingling Yuan; Nana Wang; Siqi Cai 001; Chunpeng Jiang; Xinping Li (Multim. Tools Appl., 2024)

Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion. - Xuan Liu 001; Siqi Cai 001; Qihua Zhou; Song Guo 001; Ruibin Li; Kaiwei Lin (AAAI, 2025)

Prompt-Ladder: Memory-efficient prompt tuning for vision-language models on edge devices. - Siqi Cai 001; Xuan Liu 001; Jingling Yuan; Qihua Zhou (Pattern Recognit., 2025)