I am currently a researcher at China Telecom. I received my Ph.D. degree from Shanghai Jiao Tong University (SJTU) in 2025. My research interest focuses on privacy preserving and graph learning. In addition, I maintain a strong interest in the security of foundational models.
📝 Publications
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IEEE TDSC26
Differentially Private Graph Neural Network with Importance-Grained Noise Adaption.
Yuxin Qi, Jun Wu, Xi Lin, Jianhua Li, Mohsen Guizani.
IEEE Transactions on Dependable and Secure Computing. CCF-A. -
IEEE TDSC26
PD2Net: A Prototype-guided Generative Copy-move Forgery Image Detection and Distinguishment Framework.
Jingyu Wang, Jie Nie, Niantai Jing, Yuxin Qi, Ziyao Liu, Yuhang Zheng, Chi-Hung Chi, Kwok-Yan Lam.
IEEE Transactions on Dependable and Secure Computing. CCF-A. -
IEEE TDSC26
GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning.
Jiani Zhu, Xi Lin, Yuxin Qi, Qinghua Mao, Jun Wu.
IEEE Transactions on Dependable and Secure Computing. CCF-A. -
DASFAA26
Is There a Structural Privacy Risk in Graph Prompting with LLMs?
Jiani Zhu, Xi Lin, Yuxin Qi, Qinghua Mao, Jianhua Li, Jun Wu.
31st International Conference on Database Systems for Advanced Applicationsy. CCF-B. -
IEEE TIFS25
Hiding in the Network: Attribute-Oriented Differential Privacy for Graph Neural Networks.
Yuxin Qi, Xi Lin, Jiani Zhu, Ningyi Liao, Jianhua Li.
IEEE Transactions on Information Forensics & Security. CCF-A. -
AAAI25
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.
The 39th Annual AAAI Conference on Artificial Intelligence. CCF-A. -
AAAI25
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.
The 39th Annual AAAI Conference on Artificial Intelligence. CCF-A. -
ICLR25
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.
The Thirteenth International Conference on Learning Representations. CCF-A. -
CVPR25
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.
Conference on Computer Vision and Pattern Recognition 2025. CCF-A. -
ICDE25
Scalable Machine Learning for Real-Time Fault Diagnosis in Industrial IoT Cooling Roller Systems.
Dandan Zhao, Karthick Sharma, Yuxin Qi, Qixun Liu, Shuhao Zhang.
2025 IEEE 41st International Conference on Data Engineering. CCF-A. -
IEEE TIFS 25
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 Transactions on Information Forensics & Security. CCF-A. -
IEEE ICME25
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.
2025 IEEE International Conference on Multimedia and Expo. CCF-B. -
Neurocomputing25
DADC: Robust graph learning for encrypted traffic classification via dual-view adaptive denoising and clipping.
Lexin Li, Yuxin Qi, Xi Lin, Jianhua Li.
Neurocomputing. CCF-C. -
WWW24
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.
Companion Proceedings of the ACM on Web Conference 2024. -
WWW24
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.
Companion Proceedings of the ACM on Web Conference 2024. -
WCNC24
Local Differential Private Spatio-Temporal Dynamic Graph Learning for Wireless Social Networks.
Jiani Zhu, Xi Lin, Yuxin Qi, Gaolei Li, Chaofeng Zhang, Jianhua Li.
IEEE Wireless Communications and Networking Conference. CCF-C. -
IEEE TPAMI23
Blockchain Data Mining with Graph Learning: A Survey.
Yuxin Qi, Jun Wu, Hansong Xu, Mohsen Guizani.
IEEE Transactions on Pattern Analysis and Machine Intelligence. CCF-A. -
IEEE SysJ23
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 Systems Journal. -
ISPA23
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.
2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). CCF-C. -
IEEE TITS22
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 Transactions on Intelligent Transportation Systems. CCF-B.
* means contribution equally
📖 Educations
- 2020.09 - 2025.06, Ph.D., School of Computer Science, Shanghai Jiao Tong University.
- 2023.12 - 2024.11, Joint Ph.D. Student, College of Computing and Data Science, Nanyang Technological University.
- 2016.09 - 2020.06, Bachelor, College of Computer Science and Technology, Jilin University.
💬 Professional Service
- Reviewer for Journals: IEEE TDSC, IEEE TNNLS, IEEE TITS.
- PC member for Conferences: NIPS, ICML, ICLR, AAAI, IJCAI, ACM MM, IJCNN, ICC.
🎖 Honors and Awards
- 2017 National Scholarship.
- 2018 National Scholarship.
- 2019 National Scholarship.
- 2020 Dean’s Scholarship.
- 2020 Outstanding Graduates.
- 2023 Scholarship from China Scholarship Council.
- 2023 First Class Network Security Scholarship.
- 2024 First Class Network Security Scholarship.
💻 Internships
- 2020.07 - 2020.09, UnionPay, China.