招收2024年秋季入学硕士研究生两名，欢迎感兴趣的应届本科毕业生邮件联系我（邮箱：psun@hnu.edu.cn）。要求：对人工智能、群体智能、边缘智能、联邦学习等领域尤其是其中的隐私保护、安全可信问题感兴趣，且具有较好的数学基础、代码能力以及科技英语读写能力。

欢迎对科研感兴趣的本科生（年级不限）邮件联系我加入课题组。

我的指导方式与目标：

方式：我将对课题组所有学生提供一对一深入细致的指导。会进行从想法的产生，问题的建模、问题的求解、技术方法的选择与使用、论文的写作与修改等全周期的指导。

目标：产出interesting and practically important的研究成果，并发表在中国计算机学会（CCF）推荐的A类顶级会议与期刊上。（对于发表A类会议的学生，我将使用经费全额资助其开会，并给予额外奖励。）

对于表现优秀的学生，我将强力推荐其赴国内外知名高校深造或大厂内推。

1.中国科协青年人才托举工程项目，中国科学技术协会，2024.01-2026.12，主持

2.面向高效鲁棒联邦学习的关键技术研究，国家自然科学基金青年科学基金项目，2022.01-2024.12，主持

3.联邦学习的隐私保护与模型安全防护方法研究，湖南省自然科学基金青年基金，2023.01-2025.12，主持

4.安全高效联邦学习关键技术研究，中国博士后科学基金面上项目，2021.11-2022.09，主持

5.面向多智能体协作的联邦学习模型安全防护方法，深圳市人工智能与机器人研究院探索型焦点项目，2021.04-2022.03，主持

期刊论文（*表示通讯作者）

• 1.Peng Sun, Guocheng Liao, Xu Chen, and Jianwei Huang. A Socially Optimal Data Marketplace with Differentially Private Federated Learning.IEEE/ACM Transactions on Networking, accepted, 2023.(CCF A)

• 2.Peng Sun, Haoxuan Che, Zhibo Wang*, Yuwei Wang, Tao Wang, Liantao Wu, and Huajie Shao. Pain-FL: Personalized Privacy-Preserving Incentive for Federated Learning. IEEE Journal on Selected Areas in Communications, vol. 39, no. 12, pp. 3805-3820, 2021. (CCF A)

• 3.Peng Sun, Zhibo Wang, Liantao Wu, Yunhe Feng, Xiaoyi Pang, Hairong Qi, and Zhi Wang*. Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Mobile Crowdsensing Systems. IEEE Transactions on Mobile Computing, vol. 21, no. 1, pp. 352-365, 2022. (CCF A)

• 4. Liantao Wu,Peng Sun*, Zhibo Wang, Yanjun Li, and Yang Yang. Computation Offloading in Multi-Cell Networks with Collaborative Edge-Cloud Computing: A Game Theoretic Approach. IEEE Transactions on Mobile Computing, accepted, 2023. (CCF A)

• 5. Liantao Wu,Peng Sun*, Zhibo Wang, Yang Yang, and Zhi Wang. Temporal Correlation Enhanced Multiuser Detection for Uplink Grant-Free NOMA. IEEE Transactions on Mobile Computing, accepted, 2021. (CCF A)

• 6.Peng Sun, Zhibo Wang, Liantao Wu*, Huajie Shao, Hairong Qi, and Zhi Wang. Trustworthy and Cost-Effective Cell Selection for Sparse Mobile Crowdsensing Systems. IEEE Transactions on Vehicular Technology, vol. 70, no. 6, pp. 6108-6121, 2021. (JCR Q1)

• 7. Liantao Wu, Zhibo Wang,Peng Sun*, and Yang Yang. Temporal Correlation Enhanced Sparse Activity Detection in MIMO Enabled Grant-Free NOMA. IEEE Transactions on Vehicular Technology, vol. 71, no. 3, pp. 2887-2899, 2022. (JCR Q1)

• 8.Peng Sun, Liantao Wu, Zhibo Wang, Yunhe Feng, and Zhi Wang*. SCRA: Structured Compressive Random Access for Efficient Information Collection in IoT. IEEE Internet of Things Journal, vol. 7, no. 3, pp. 2356-2367, 2020. (中科院一区)

• 9.Peng Sun, Zhi Tian, Zhibo Wang, and Zhi Wang*. PRSS: A Prejudiced Random Sensing Strategy for Energy-Efficient Information Collection in the Internet of Things. IEEE Internet of Things Journal, vol. 6, no. 2, pp. 2717-2728, 2019. (中科院一区)

• 10. Liantao Wu,Peng Sun*, Zhibo Wang, and Yang Yang. Joint User Activity Identification and Channel Estimation for Grant-Free NOMA: A Spatial-Temporal Structure Enhanced Approach. IEEE Internet of Things Journal, vol. 8, no. 15, pp. 12339-12349, 2021. (中科院一区)

• 11. Liantao Wu,Peng Sun*, Yang Yang, Zhibo Wang, and Zhi Wang. Towards Efficient Compressed Sensing-based RFID Identification: A Sparsity Controlled Approach. IEEE Internet of Things Journal, vol. 7, no. 8, pp. 7714-7724, 2020. (中科院一区)

• 12. Jiahui Hu, Zhibo Wang, Yongsheng Shen, Bohan Lin,Peng Sun, Xiaoyi Pang, Jian Liu, and Kui Ren. Shield Against Gradient Leakage Attacks: Adaptive Privacy-Preserving Federated Learning. IEEE/ACM Transactions on Networking, accepted, 2023.(CCF A)

• 13. Guangjing Huang, Qiong Wu,Peng Sun, Qian Ma, Xu Chen. Collaboration in Federated Learning with Differential Privacy: A Stackelberg Game Analysis. IEEE Transactions on Parallel and Distributed Systems, vol. 35, no. 3, pp. 455-469, 2024. (CCF A)

• 14. Huan Zhou, Mingze Li,Peng Sun, Bin Guo, and Zhiwen Yu. Accelerating Federated Learning via Parameter Selection and Pre-synchronization in Mobile Edge-Cloud Networks. IEEE Transactions on Mobile Computing, accepted, 2024. (CCF A)

• 15. Junjian Li, Honglong Chen,Peng Sun, Zhibo Wang, Zhichen Ni, and Weifeng Liu. Call White Black: Enhanced Image-Scaling Attack in Industrial Artificial Intelligence Systems. IEEE Transactions on Industrial Informatics, accepted, 2023.(中科院一区)

• 16. Bing Luo, Xiaomin Ouyang,Peng Sun, Pengchao Han, Ningning Ding, and Jianwei Huang. Optimization Design for Federated Learning in Heterogeneous 6G Networks. IEEE Network, accepted, 2023. (中科院一区)

• 17. Xiaomeng Wang, Honglong Chen,Peng Sun, Junjian Li, Anqing Zhang, Weifeng Liu, and Nan Jiang.AdvST: Generating Unrestricted Adversarial Images via Style Transfer, IEEE Transactions on Multimedia, accepted, 2023. (CCF B, 中科院一区)

• 18. Yuwei Wang,Peng Sun, and Zhi Wang. Towards Robust and Accurate Cooperative State Estimation for Multiple Rigid Bodies. IEEE Transactions on Vehicular Technology, accepted, 2023. (JCR Q1)

• 19. Liantao Wu,Peng Sun, Honglong Chen, Yong Zuo, Yong Zhou, and Yang Yang. NOMA-Enabled Multiuser Offloading in Multicell Edge Computing Networks: A Coalition Game-Based Approach. IEEE Transactions on Network Science and Engineering, accepted, 2023. (JCR Q1)

• 20. Zhibo Wang, Defang Liu, Yunan Sun, Xiaoyi Pang,Peng Sun, Feng Lin, John C.S. Lui, and Kui Ren. A Survey on IoT-enabled Home Automation Systems: Attacks and Defenses. IEEE Communications Surveys & Tutorials, accepted, 2022. (中科院一区, Impact Factor: 33.84)

• 21. Xiaoyi Pang, Zhibo Wang, Zeqing He,Peng Sun, Meng Luo, Ju Ren, and Kui Ren. Towards Class-balanced Privacy Preserving Heterogeneous Model Aggregation. IEEE Transactions on Dependable and Secure Computing, accepted, 2022. (CCF A)

• 22. Liantao Wu, Zening Liu,Peng Sun, Honglong Chen, Kunlun Wang, Yong Zuo, and Yang Yang. DOT: Decentralized Offloading of Tasks in OFDMA-based Heterogeneous Computing Networks. IEEE Internet of Things Journal, accepted, 2022. (中科院一区)

• 23. Qisheng Huang, Yunshu Liu, Lutong Wang,Peng Sun, Junling Li, and Jin Xu. A Blockchain-Enabled Coalitional Game Framework for Carbon Emission Trading. IEEE Transactions on Network Science and Engineering,accepted, 2023. (JCR Q1)

• 24. Jin Xu, Xinyuan Wu, Qisheng Huang, andPeng Sun. How should the server sleep?–Age-energy tradeoff in sleep-wake server systems, IEEE Transactions on Green Communications and Networking, vol. 7, no. 4, pp. 1620-1634, 2023.

• 25. Liantao Wu,Peng Sun, Ming Xiao, Yuhen Hu, and Zhi Wang*. Sparse Signal Aloha: A Compressive Sensing-Based Method for Uncoordinated Multiple Access. IEEE Communications Letters, vol. 21, no. 6, pp. 1301-1304, 2017.

会议论文（*表示通讯作者）

• 1.Peng Sun, Liantao Wu, Zhibo Wang, Jinfei Liu, Juan Luo, and Wenqiang Jin. A Profit-Maximizing Data Marketplace with Differentially Private Federated Learning under Price Competition. ACM SIGMOD International Conference on Management of Data (SIGMOD), June 22-27, 2025, Berlin, Germany. (CCF A)

• 2.Peng Sun, Xu Chen, Guocheng Liao, and Jianwei Huang*. A Profit-Maximizing Model Marketplace with Differentially Private Federated Learning. IEEE International Conference on Computer Communications (INFOCOM), Virtual Conference, 2022. (CCF A)(Acceptance Rate = 19.9%)

• 3.Peng Sun, Zhibo Wang, Yunhe Feng, Liantao Wu, Yanjun Li, Hairong Qi, and Zhi Wang*. Towards Personalized Privacy-Preserving Incentive for Truth Discovery in Crowdsourced Binary-Choice Question Answering. IEEE International Conference on Computer Communications (INFOCOM), Virtual Conference, 2020. (CCF A)(Acceptance Rate = 19.8%)

• 4. Bo Zhao,Peng Sun*, Tao Wang, and Keyu Jiang. FedInv: Byzantine-Robust Federated Learning by Inversing Local Model Updates. The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Virtual Conference, 2022. (CCF A)(Acceptance Rate = 15%)

• 5. Yudong Gao, Honglong Chen,Peng Sun, Zhe Li, Junjian Li,Huajie Shao.Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining. International Conference on Machine Learning (ICML), 2024. (CCF A)

• 6. Zhibo Wang, Jinxin Ma, Yongquan Zhang, Qian Wang, Ju Ren, andPeng Sun. Attention-over-Attention Field-aware Factorization Machine. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), Virtual Conference, 2020. (CCF A)

• 7. Zhibo Wang, Hongshan Yang, Yunhe Feng,Peng Sun, Hengchang Guo, Zhifei Zhang, and Kui Ren. Towards Transferable Targeted Adversarial Examples. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (CCF A)(Acceptance Rate = 25.78%)

• 8. Zhibo Wang, He Wang, Shuaifan Jin, Wenwen Zhang, Jiahui Hu, Yan Wang,Peng Sun, Wei Yuan, Kaixin Liu, and Kui Ren. Privacy-preserving Adversarial Facial Features. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (CCF A)(Acceptance Rate = 25.78%)

• 9. Yudong Gao, Honglong Chen*,Peng Sun, Junjian Li, Anqing Zhang, Zhibo Wang, and Weifeng Liu. A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives. The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF A)(Acceptance Rate = 23.75%)

• 10. Yajie Zhou, Xiaoyi Pang, Zhibo Wang, Jiahui Hu,Peng Sun, and Kui Ren. Towards Efficient Asynchronous Federated Learning in Heterogeneous Edge Environments. IEEE International Conference on Computer Communications (INFOCOM), 2024. (CCF A)(Acceptance Rate = 19.6%)

• 11.Defang Liu, Zhibo Wang, Xiaoyi Pang, Yunan Sun, Jiahui Hu,Peng Sun, Yuke Hu. Towards Efficient Edge Learning for Large Models in Heterogeneous Resource-limited Environments. International Conference on Big Data Computing and Communications (BigCom), 2023. (最佳学生论文奖)