答辩公告
我的位置在: 首页 > 答辩公告 > 正文
邓欣博士生预答辩公告
浏览次数:日期:2026-04-20编辑:

学位论文简介

主要学术成果

[1] Xin Deng, Zheng Qin, Peng Peng, et al. TopK-BC: Efficient Maintenance of Top k (p,q)-bicliques over Streaming Bipartite Graphs[C], IEEE International Conference on Data Engineering, 2025: 3696-3709. (CCF A类会议, 第一作者)

[2] Xin Deng, Peng Peng, Chuanyu Liu, et al, Efficient Indexing for Label-constrained Cohesive Subgraph Queries over Large Graphs", IEEE International Conference on Data Engineering, 2025: 2135-2147. (CCF A类会议, 第一作者)

[3] Xin Deng, Peng Peng, Baoqing Sun, et al, SQAC: Scalable Querying of Attribute-Constrained (α, β)-Cores over Large Bipartite graphs, IEEE International Conference on Data Engineering, 2026. (CCF A类会议,  第一作者)

[4] Xin Deng, Peng Peng, Mingdao Li, et al, Scalable Indexing for Label-Constrained k-Core Queries over Large Graphs", IEEE Transactions on Knowledge and Data Engineering‌ ,IEEE, 2026. (CCF A类期刊, 已投, 第一作者)

[5] Xin Deng, Zheng Qin, Peng Peng, et al, MMCS: Multi-Query Optimization for Minimum Community Search over Large Graphs", ACM Special Interest Group on Management of Data Conference, 2026. (CCF A类会议, 拟投, 第一作者)

[6] Hui Zhou, Zheng Qin, Peng Sun, Xin Deng, et al, Unifying Gradient Leakage Attacks Against Privacy-Protected Federated Learning in IoT Networks, IEEE Internet of Things Journal, 2026, 13(4), 6564-6574. (SCI, 中科院Top期刊, 第四作者)

[7] Hui Zhou ,Yuling Chen, Zheng Qin, Xin Deng, et al, Thwarting gradient inversion in federated learning via generative shadow mapping defense, Journal of Systems Architecture, 2025, 172: 103671. (CCF B类期刊, 第四作者)

[8] Hui Zhou, Zheng Qin, Yipeng Zou, Xin Deng, et al, Do Adversarial Perturbations Truly Mitigate Gradient Inversion in Federated Learning?, International Joint Conference on Neural Networks, 2025: 1-8. (CCF C类会议, 第四作者)



Baidu
sogou