实验室招生
团队长期招收博士/硕士研究生、本科实习生！
欢迎各位考/保研的同学，以及对科研/工程项目感兴趣的同学和我联系！
团队目前主要方向为高性能与分布式计算，具体包括：
1、算力调度：针对多集群、多体系结构的算力设备，实现算力资源和数据资源的协同调度；
2、大模型体系结构优化：针对模型分布式训推过程调优，优化模型训推精度与效率；
3、数据倾斜优化：针对联邦学习等分布式场景，分析数据分布对精度、稳定性和安全性的影响；
4、其他：并行计算、分布式通信优化、AI算子融合等。
希望我们的同学：充分发挥主观能动性，愿意广泛阅读高水平论文，愿意付出努力，力争在《中国计算机学会推荐期刊会议列表》及其他一流的期刊会议上发表好的学术成果。对于发表高水平论文的学生，团队将提供额外的科研奖励。
团队氛围轻松和谐，对我们工作方向感兴趣的同学欢迎发送简历、成绩单、学习和科研经历到我的邮箱。
学习资料
代表性论文
[1] Peng Wu, Jiapeng Zhang, Yingjie Song, Xiong Xiao, and Zhuo Tang, FedAlign: Differentially Private Distribution Alignment for Non-IID Federated Learning, to appear in CVPR, 2026. （CCF-A类会议）
[2] Xu Yang, Jiapeng Zhang, Dongyang Zhao, Guo Chen, and Zhuo Tang, Self-Indexing KVCache: Predicting Sparse Attention from Compressed Keys, AAAI, 2026.（CCF-A类会议）
[3] Lixiang Yuan, Jiapeng Zhang, Mingxing Duan,Guoqing Xiao, Zhuo Tang, and Kenli Li, PRFL: Personalized and Robust Federated Learning for Non-IID Data with Malicious Participants, IEEE Transactions on Mobile Computing, 25(3): 4331 – 4345, 2025. （CCF-A期刊）
[4] Jiawei Tan, Jiapeng Zhang, Zhuo Tang, Xiong Xiao, Bingting Jiang, Jie Zhao, and Kenli Li. ASSG: Enhanced Workload Balancing via Adaptive State Scheduling Granularity Approach for Stateful Distributed Stream Processing, ACM Transactions on Architecture and Code Optimization, 22(4): art. 160, 2025. （CCF-A期刊）
[5] Zhimao Gong, Jiapeng Zhang, Haotian Wang, Mingxing Duan, Keqin Li, and Kenli Li. A Privacy-Preserving Scheme With High Utility Over Data Streams in Mobile Crowdsensing, IEEE Transactions on Information Forensics and Security, 20: 5372 – 5385, 2025.（CCF-A期刊）
[6] Ruixing Zong, Jiapeng Zhang, Zhuo Tang, Wei Zhang and Kenli Li. Topology-Aware Interleaved All-Reduce Communication for Dragonfly Network. IEEE Transactions on Networking, 33(5): 2148 – 2163, 2025.（CCF-A期刊）
[7] Ruixing Zong, Jiapeng Zhang, Zhuo Tang, and Kenli Li, IBing: An Efficient Interleaved Bidirectional Ring All-Reduce Algorithm for Gradient Synchronization, ACM Transactions on Architectureand Code Optimization, 22(1): art. 35, 2025. （CCF-A期刊）
[8] Jiapeng Zhang, Shan Qu, Qi Li, Huquan Kang, Luoyi Fu, Haisong Zhang, Xinbing Wang, and Guihai Chen, On Social Network De-anonymization with Communities: A Maximum A PosterioriPerspective, IEEE Transactions on Knowledge and Data Engineering, 2023. （CCF-A类期刊）
[9] Jiapeng Zhang, Luoyi Fu, Huan Long, Gui'e Meng, Feilong Tang, Xinbing Wang, and Guihai Chen, Collective de-anonymization of social networks with optional seeds, IEEE Transactionson Mobile Computing, 2022. （CCF-A类期刊）
[10] Jiapeng Zhang, Luoyi Fu, Xinbing Wang, and Guihai Chen, De-anonymizing social networks under partial overlap: an F-score based approach, IEEE INFOCOM, Vancouver, BC,Canada, 2021. （CCF-A类会议）
[11] Jiapeng Zhang, LuoyiFu, Xinbing Wang, and Songwu Lu, De-anonymization of social networks: the power of collectiveness, IEEE INFOCOM, Toronto, ON, Canada, 2020. （CCF-A类会议）
[12] Jiapeng Zhang, Luoyi Fu, Shuhao Li, Yuhang Yao, and Xinbing Wang, Core percolation in interdependent networks, IEEE Transactions on Network Science and Engineering, 6(4), 952-967, 2019.
