CN

Pan ZhouZHOU PAN

Supervisor of Doctorate Candidates Supervisor of Master's Candidates

Gender:Male
Status:Employed
Department:Cyber Science And Engineering
Education Level:Postgraduate (Doctoral)
Degree:Doctoral Degree

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Paper Publications

Current position: 英文主页 > Scientific Research > Paper Publications

Hua Ding, Lixing Chen, Shenghong Li, Yang Bai, Pan Zhou, Zhe Qun,“Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale,” The Web Conference 2024 (WWW 2024), Singapore, May 13-17th, 2024.
Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun, “MetaTool Benchmark: Deciding Whether to Use Tools and Which to Use,”Twelfth International Conference on Learning Representations (ICLR 2024), pp.1-32, Vienna, Austria, May 7th, 2024 to May 11th, 2024.
Duyu Chen; Wenchao Xu; Ruixuan Li; Haozhao Wang; Yining Qi; Pan Zhou; Song Guo, "Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit," IEEE Transactions on Mobile Computing (IEEE TMC), DOI 10.1109/TMC.2024.3349849, 2024.
Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Li, Yiran, Chen, "Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function," The 17th ACM International Conference on Web Search and Data Mining (ACM WSDM 2024), pp.1-8, Merida, Yucatan, from March 4th to March 8th 2024.
Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou, Lichao Sun, "Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks?," The 33rd USENIX Security Symposium (Usenix Security), pp. 1-18, 2024.
Ao Liu, Wenshan Li, Tao Li, Beibei Li, Hanyuan Huang, Pan Zhou, "Towards Inductive Robustness: Distilling and Fostering Wave-induced Resonance in Transductive GCNs Against Graph Adversarial Attacks," The Thirty-Eighth Conference on Artificial Intelligence (AAAI 2024), pp.1-8, Vancouver, Canada, from February 20-27, 2024.
Wanfang Su, Lixing Chen, Yang Bai, Xi Lin, Gaolei Li, Zhe Qu, Pan Zhou, "What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception," The Thirty-Eighth Conference on Artificial Intelligence (AAAI 2024), pp.1-8, Vancouver, Canada, from February 20-27, 2024..
Junyang Chen, Guoxuan Zou, Pan Zhou, Yirui Wu, Zhenghan Chen, Houcheng Su, Huan Wang, Zhiguo Gong, "Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation," The Thirty-Eighth Conference on Artificial Intelligence (AAAI 2024), pp.1-8, Vancouver, Canada, from February 20-27, 2024.
Zichuan Xu, Lin Wang, Weifa Liang, Qiufen Xia, Wenzheng Xu, Pan Zhou, and Omer F. Rana, "Age-Aware Data Selection and Aggregator Placement for Timely Federated Continual Learning in Mobile Edge Computing," IEEE Transactions on Computers (IEEE TC), accepted and to appear in 2024.
Zichuan Xu, Zhao Yuan, Weifa Liang, Dongqi Liu, Wenzheng Xu, Haipeng,Dai, Qiufen Xia, Pan Zhou, "Learning-Driven Algorithms for Responsive AR Offloading with Non-Deterministic Rewards in Metaverse-Enabled MEC," IEEE/ACM Transactions on Networking (IEEE/ACM TON), accepted and to appear in 2024.

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