Yuxin Qi

According to our database, Yuxin Qi authored at least 18 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Differentially Private Graph Neural Network With Importance-Grained Noise Adaption.

Yuxin Qi, Jun Wu, Xi Lin, Jianhua Li, Mohsen Guizani

IEEE Trans. Dependable Secur. Comput., 2026

Is There a Structural Privacy Risk in Graph Prompting with LLMs?

Jiani Zhu, Xi Lin, Yuxin Qi, Qinghua Mao, Jianhua Li, Jun Wu

Proceedings of the Database Systems for Advanced Applications, 2026

2025

Hiding in the Network: Attribute-Oriented Differential Privacy for Graph Neural Networks.

Yuxin Qi, Xi Lin, Jiani Zhu, Ningyi Liao, Jianhua Li

IEEE Trans. Inf. Forensics Secur., 2025

FeCoGraph: Label-Aware Federated Graph Contrastive Learning for Few-Shot Network Intrusion Detection.

Qinghua Mao, Xi Lin, Wenchao Xu, Yuxin Qi, Xiu Su, Gaolei Li, Jianhua Li

IEEE Trans. Inf. Forensics Secur., 2025

EAV-Mamba: Efficient Audio-Visual Representation Learning for Weakly-Supervised Temporal Action Localization.

Quan Zhang, Jinwei Fang, Yuxin Qi, Mingyang Wan, Guojun Ma, Ke Zhang, Chun Yuan

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation.

Yuxin Qi, Quan Zhang, Xi Lin, Xiu Su, Jiani Zhu, Jingyu Wang, Jianhua Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Blockchain Data Mining With Graph Learning: A Survey.

Yuxin Qi, Jun Wu, Hansong Xu, Mohsen Guizani

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning.

Jiani Zhu, Xi Lin, Yuxin Qi, Qinghua Mao

CoRR, 2024

Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining.

Jingyu Wang, Niantai Jing, Ziyao Liu, Jie Nie, Yuxin Qi, Chi-Hung Chi, Kwok-Yan Lam

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LinkGuard: Link Locally Privacy-Preserving Graph Neural Networks with Integrated Denoising and Private Learning.

Yuxin Qi, Xi Lin, Ziyao Liu, Gaolei Li, Jingyu Wang, Jianhua Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Local Differential Private Spatio- Temporal Dynamic Graph Learning for Wireless Social Networks.

Jiani Zhu, Xi Lin, Yuxin Qi, Gaolei Li, Chaofeng Zhang, Jianhua Li

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

2023

Privacy-Preserving Cross-Area Traffic Forecasting in ITS: A Transferable Spatial-Temporal Graph Neural Network Approach.

Yuxin Qi, Jun Wu, Ali Kashif Bashir, Xi Lin, Wu Yang, Mohammad Dahman Alshehri

IEEE Trans. Intell. Transp. Syst., December, 2023

Game-Aided Blockchain Twin for Incentive and Relay-Free Model Sharing in Heterogeneous Chain-Driven Swarm Learning.

Yuxin Qi, Xi Lin, Jun Wu, Yunyun Han

IEEE Syst. J., December, 2023

Differentially Private Graph Neural Network with Importance-Grained Noise Adaption.

Yuxin Qi, Xi Lin, Jun Wu

CoRR, 2023

Ensuring Minority Group Rights in Social IoT with Fairness-aware Federated Graph Node Classification.

Qinghua Mao, Xi Lin, Gaolei Li, Lixing Chen, Yuchen Liu, Yuxin Qi, Jianhua Li

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023