Ensuring Minority Group Rights in Social IoT with Fairness-aware Federated Graph Node Classification. - Qinghua Mao; Xi Lin 003; Gaolei Li; Lixing Chen; Yuchen Liu 001; Yuxin Qi; Jianhua Li 001 (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Differentially Private Graph Neural Network with Importance-Grained Noise Adaption. - Yuxin Qi; Xi Lin; Jun Wu (CoRR, 2023)

Game-Aided Blockchain Twin for Incentive and Relay-Free Model Sharing in Heterogeneous Chain-Driven Swarm Learning. - Yuxin Qi; Xi Lin 003; Jun Wu 001; Yunyun Han (IEEE Syst. J., 2023)

Privacy-Preserving Cross-Area Traffic Forecasting in ITS: A Transferable Spatial-Temporal Graph Neural Network Approach. - Yuxin Qi; Jun Wu 001; Ali Kashif Bashir; Xi Lin 003; Wu Yang 001; Mohammad Dahman Alshehri (IEEE Trans. Intell. Transp. Syst., 2023)

Local Differential Private Spatio- Temporal Dynamic Graph Learning for Wireless Social Networks. - Jiani Zhu; Xi Lin 003; Yuxin Qi; Gaolei Li; Chaofeng Zhang; Jianhua Li 001 (WCNC, 2024)

LinkGuard: Link Locally Privacy-Preserving Graph Neural Networks with Integrated Denoising and Private Learning. - Yuxin Qi; Xi Lin 003; Ziyao Liu; Gaolei Li; Jingyu Wang 005; Jianhua Li 001 (WWW (Companion Volume), 2024)

Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining. - Jingyu Wang 005; Niantai Jing; Ziyao Liu; Jie Nie; Yuxin Qi; Chi-Hung Chi; Kwok-Yan Lam (WWW (Companion Volume), 2024)

SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning. - Dandan Zhao; Karthick Sharma; Hongpeng Yin; Yuxin Qi; Shuhao Zhang (CoRR, 2024)

Can MLLMs Guide Weakly-Supervised Temporal Action Localization Tasks? - Quan Zhang; Yuxin Qi (CoRR, 2024)

GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning. - Jiani Zhu; Xi Lin 003; Yuxin Qi; Qinghua Mao (CoRR, 2024)

Blockchain Data Mining With Graph Learning: A Survey. - Yuxin Qi; Jun Wu 001; Hansong Xu; Mohsen Guizani (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation. - Yuxin Qi; Quan Zhang; Xi Lin 003; Xiu Su; Jiani Zhu; Jingyu Wang 005; Jianhua Li 001 (AAAI, 2025)

Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction. - Quan Zhang; Yuxin Qi; Xi Tang; Rui Yuan; Xi Lin; Ke Zhang; Chun Yuan (AAAI, 2025)

Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models. - Quan Zhang; Jinwei Fang; Rui Yuan; Xi Tang; Yuxin Qi; Ke Zhang; Chun Yuan (CVPR, 2025)

Scalable Machine Learning for Real-Time Fault Diagnosis in Industrial IoT Cooling Roller Systems. - Dandan Zhao; Karthick Sharma; Yuxin Qi; Qixun Liu; Shuhao Zhang (ICDE, 2025)

IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning. - Quan Zhang; Yuxin Qi; Xi Tang; Jinwei Fang; Xi Lin; Ke Zhang; Chun Yuan (ICLR, 2025)

FeCoGraph: Label-Aware Federated Graph Contrastive Learning for Few-Shot Network Intrusion Detection. - Qinghua Mao; Xi Lin 003; Wenchao Xu 001; Yuxin Qi; Xiu Su; Gaolei Li; Jianhua Li 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Hiding in the Network: Attribute-Oriented Differential Privacy for Graph Neural Networks. - Yuxin Qi; Xi Lin 003; Jiani Zhu; Ningyi Liao; Jianhua Li 001 (IEEE Trans. Inf. Forensics Secur., 2025)