下面列出了2025至今的18 篇论文，研究方向涵盖隐私保护、联邦学习、车联网安全、物联网数据安全与智能计算等方向的持续研究成果。发表期刊包括IEEE Transactions 系列、Information Fusion、Applied Soft Computing 等，以及 ICPADS、MobiQuitous、ISPEC 等国际会议。

从研究主题看，可概括为以下四个方向：

• 联邦学习与隐私计算：围绕多接入边缘计算、分层联邦学习、拜占庭鲁棒性、可验证聚合、隐私众包及本地差分隐私等问题开展研究。代表性成果包括面向 MEC 的通信高效、抗拜占庭联邦学习，电力负荷预测中的分层联邦学习，以及面向工业 5.0、众包场景的可验证和抗掉线聚合机制。

• 车联网与智能交通安全：这是成果最集中的方向之一，涉及 VANET、车网（V2G）和车队服务推荐等场景，研究了轻量级多因子认证、条件匿名双向认证、广播签密、碰撞预警、持续身份认证与可信服务推荐等关键技术。

• 物联网与数据安全：聚焦 IoT 众感知、云辅助 IoT、健康数据传输、智能电力数据等应用，提出了隐私保护多维真值发现、细粒度数据聚合、条件隐私保护多接收者签密等方案。

• 人工智能与数据分析应用：包括基于时频融合的情绪识别、隐私保护电力负荷预测、差分隐私频繁项集挖掘等，体现了安全隐私技术与智能计算方法的交叉融合。

2026年  

1.   Yuanjun Xia, Zhiyuan Tan, , IEEE, Pengfei Zhang, Lele Yu, Shi Dong, Yining Liu. Communication- Efficient and Byzantine-Tolerant Federated Learning for Multi-Access Edge Computing. IEEE Transactions on Mobile Computing.

2. Zeyu He, Haonan Zhang, Yining Liu. Privacy-preserving electricity load forecasting using hierarchical federated learning. Journal of Information and Intelligence, Vol. 4, no. 4, 2026, pp. 350-363, https://doi.org/10.1016/j.jiixd.2026.04.009.

3.   Yangfan Liang, Zhiguo Wan, Yiming Chen, Zhiqiang Zhao, Gao Liu, Zhiquan Liu, Hong Sun, and Yining Liu. Vehicle-Side Lightweight Conditional Anonymous Double Authentication Framework with Password Robustness in VANETs. IEEE Transactions on Dependable and Secure Computing, DOI: 10.1109/TDSC.2026.3702678

4.   Songshou Dong, Yanqing Yao, Huaxiong Wang, Yining Liu. LCMS: Efficient Lattice-based Conditional Privacy-preserving Multi-receiver Signcryption Scheme for Internet of Vehicles. IEEE Transactions on Network and Service Management. DOI: 10.1109/TNSM.2026.3688507

5.        Shuang Chen, Jingxue Chen, Yuanjun Xia, Yangfan Liang, You Li, Yining Liu. Verifiable and Robust Privacy-preserving Multidimensional Truth Discovery for IoT Crowdsensing. IEEE IoT Journal, DOI: 10.1109/JIOT.2026.3685393. 一作是24级硕士生

6.  Yangfan Liang, Gao Liu, Xianchao Zhang, Yiming Chen, Jingxue Chen, Yuanjun Xia, Yining Liu.Fully Anonymous Broadcast Signcryption for Secure Health Data Transmission in WBANs. IEEE Transactions on Mobile Computing, vol. 25, no. 2, pp. 1729-1743, Feb. 2026. 学生一作

7.   Junyu Li, Fei Zhou, Nankun Mu, Qi Xie, Yining Liu. Efficient conditional privacy-preserving heterogeneous broadcast signcryption for collision warning in VANETs. IEEE Transactions on Network and Service Management, vol. 23, pp. 224-238, 2026. 23级硕士生一作

8.    Yangfan Liang, Hong Sun, Xianchao Zhang, Qi Xie, Gao Liu, Zhiquan Liu, Yining Liu. Lightweight Multifactor Authentication and Key Agreement Scheme in Vehicle-to-Grid Networks. IEEE Transactions on Vehicular Technology, vol. 75, no. 4, pp. 6582-6599, April 2026. 学生一作

9.     Yiming Chen, Yangfan Liang, Chunming Tang, Yining Liu. EFGDAS-MU: Efficient and fine-grained data aggregation scheme for multi-user in cloud-assisted IoT, Information Fusion, Volume 126, Part B, 2026, 103605, https://doi.org/10.1016/j.inffus.2025.103605. 学生一作

 2025年

10.   Jie Ouyang, Yangfan Liang, Hong Sun, Xianchao Zhang, Jingxue Chen, Gao Liu, Zhiquan Liu, Yining Liu. A dual-branch self-supervised contrastive learning framework for emotion recognition based on time-frequency fusion, Applied Soft Computing, Vol. 185, Part B, 2025, 113958,  https://doi.org/10.1016/j.asoc.2025.113958.

11.     夏元俊,黎利辉,任舒扬,余乐乐,刘忆宁. 面向VANETs身份持续认证的隐私保护联邦学习方案.电讯技术, 2025, 65(07): 1007-1015.DOI:10.20079/j.issn.1001-893x.250113002.

12.     Yuying He, Lele Yu, Pengfei Zhang, Peiyong Sun, Weizhi Meng, Yining Liu. Heavy Hitter Identification in Large Domains with Personalized Local Differential Privacy. EAI MobiQuitous 2025 (CCF C) 23级硕士生一作

13.   Shuang Chen, You Li, Pengfei Zhang, Zhao Li, Ji Zhang, Yining Liu. VRPTD: Verifiable and Robust Privacy-preserving Truth Discovery for IoT Crowdsensing. 2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS), Hefei, China, 2025, pp. 1-9, doi: 10.1109/ICPADS67057.2025.11323219  (CCF C)  24级硕士生一作

14.   Xiaodi Wang, Yunwei Dong, Meng Li, and Yining Liu.Lightweight and Dropout Toleration Aggregation for Privacy Crowdsourcing Federated Learning. IEEE Transactions on Industrial Informatics, vol. 21, no. 11, pp. 8662-8672, 2025. Doi: 10.1109/TII.2025.3586039 学生一作

15.   Huadong Liu, Yuanxing Peng, Yining Liu*, Zhixin Zeng. Privacy-preserving multidimensional data aggregation for diverse electricity data users. Journal of Systems Architecture, Volume 161, 2025, 103363, https://doi.org/10.1016/j.sysarc.2025.103363.

16.     Xinyu Liu, Wensheng Gan, Lele Yu, Yining Liu*. DP-PartFIM: Frequent Itemset Mining using Differential Privacy and Partition.IEEE Transactions on Emerging Topics in Computing, vol. 13, no. 3, pp. 567-577, JULY-SEPTEMBER 2025. (2021级硕士生为第一作者)

17.    Hongyuan Cheng, Yining Liu*, Fei Zhou, Zhiyuan Tan, and Xianchao Zhang. Reliable and Fair Trustworthiness Evaluation Protocol for Platoon Service Recommendation System. Chinese Journal of Electronics, vol. 34, no. 2, pp. 563-575, March 2025. 2020级博士生为第一作者

18.   Yuanjun Xia, Yining Liu, Jingxue Chen, Yangfan Liang, Fazlullah Khan, Ryan Alturki. TEVA: Training-Efficient and Verifiable Aggregation for Federated Learning for Consumer Electronics in Industry 5.0. IEEE Transactions on Consumer Electronics, vol. 71, no. 2, pp. 4248-4264, May 2025. 2022级博士生为一作

支持单位：