朱宗卫，研究员，博士生导师，中国科学技术大学软件学院实验教学中心（苏州）主任。2014年博士毕业于中国科学技术大学计算机学院；2014-2018年先后工作于中国矿业大学、华为；2018年加入中科大苏州研究院。近年来，个人主持了国自然面上基金、重点研发计划子课题、中科院XX子课题、中科院先导C子课题、国自然青年基金、中国博士后面上基金、江苏省青年基金、江苏省海洋科技创新项目等多项国家级或省部级课题，个人主持竞争性项目合同经费近4000万元。以第一作者或通信作者在DAC、FAST、ICCAD、TOCS、TCAD、ToS、TSC等高水平学术期刊和会议上发表论文30余篇，第一发明人授权发明专利9项。期间形成的多项研究成果已实际应用于多家知名企事业单位。

电子邮箱: zzw1988@ustc.edu.cn

联系地址：中国科学技术大学苏州高等研究院敏学楼202

主要研究方向

1. 边缘智能计算（联邦学习+功耗优化）

2. 天基智能计算系统（具身智能卫星+星座分布式计算）

近3年部分学术论文

1.Yi Xiong, Weihong Liu, Boyu Li, Qianyue Cao, Zongwei Zhu*, Jiawei Geng, Rui Zhang, Yulong Zu, Xuehai Zhou. MP3: Mixed-Precision Pipeline Parallelism Framework for Heterogeneous Edge Devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2026. (CCF-A期刊)

2. Jiale Xu, Yi Xiong, Rui Zhang, Cong Guo*, Zihan Liu, Yangjie Zhou, Weiming Hu, Hao Wu, Boyu Li, Junping Zhao, Minyi Guo, Zongwei Zhu*, Xuehai Zhou, Jingwen Leng. eLLM: Elastic Memory Management Framework for Efficient LLM Serving. The Chips to Systems Conference (DAC 2026)，Accept. (CCF-A会议)

3. Qianyue Cao; Zongwei Zhu*; Zirui Lian; Rui Zhang; Boyu Li; Yi Xiong; Xuehai Zhou; PPFL: A Parameter Behavior-Driven Plug-in Personalization Engine for Federated Learning. The 40th Annual AAAI Conference on Artificial Intelligence, 2026. (CCF-A会议)

4. Changlong Li; Zongwei Zhu*; Chao Wang; Fangming Liu; Fei Xu; Edwin Sha; Xuehai Zhou; Archer: Adaptive Memory Compression with Page-Association-Rule Awareness for High-Speed Response of Mobile Devices. The 23rd USENIX Conference on File and Storage Technologies (FAST '25). (CCF A 会议)

5.  Changlong Li; Zongwei Zhu*; Yu Liang; Xuehai Zhou; Freezing-based Memory and Process Co-design for User Experience on Resource-limited Mobile Devices. ACM Transactions on Computer Systems, 2025. (CCF A 期刊)

6.  Boyu Li, Zongwei Zhu*, Weihong Liu, Qianyue Cao, Changlong Li, Cheng Ji, Xi Li, and Xuehai Zhou; Magnifer: A Chiplet Feature-Aware Test Case Generation Method for Deep Learning Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2025. (CCF A 期刊)

7. Zirui Lian, Qianyue Cao, Chao Liang, Jing Cao, Zongwei Zhu∗ , Zhi Yang, Cheng Ji, Changlong Li, Xuehai Zhou. HaloFL: Efficient Heterogeneity-Aware Federated Learning through Optimal Submodel Extraction and Dynamic Sparse Adjustment. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2025. (CCF A 期刊)

8. Changlong Li, Zongwei Zhu*, Yuyangjun Lu , Chao Wang , Xuehai Zhou , Edwin H.- M. Sha . A Lightweight I/O Throttling Service for the User Experience of Mobile Devices. IEEE Transactions on Services Computing 2025. (CCF A 期刊)

9. Jiawei Geng, Zongwei Zhu*, Weihong Liu,Xuehai Zhou. MultiLens: A Multi-Objective Adaptive DVFS Framework for Energy-Efficient DNN Inference. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, doi: 10.1109/TCAD.2025.3597236 2025. (CCF A 期刊)

10. Yi Xiong; Rui Zhang; Yulong Zu; Weihong Liu; Zongwei Zhu*; Jiawei Geng; Boyu Li; Qianyue Cao; Xuehai Zhou; AsyncGrid: An Intra- and Inter-Layer Asynchronous Hybrid Parallelism System for Responsive Edge LLM Inference. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2025. (CCF-A期刊)

11. Weihong Liu, Jiawei Geng, Zongwei Zhu*, Yang Zhao, Cheng Ji, Changlong Li, Zirui Lian, Xuehai Zhou. Ace-Sniper: Cloud–Edge Collaborative Scheduling Framework with DNN Inference Latency Modeling on Heterogeneous Devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 43, no. 2, pp. 534-547, Feb. 2024. (CCF A 期刊)

12.  Zirui Lian; Jing Cao; Qianyue Cao; Weihong Liu; Zongwei Zhu*; Xuehai Zhou. NebulaFL: Self-Organizing Efficient Multilayer Federated Learning Framework with Adaptive Load Tuning in Heterogeneous Edge Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 43, no. 11, pp. 3358-3369, Nov. 2024, doi: 10.1109/TCAD.2024.3443715. (CCF A 期刊)

13. Weihong Liu, Zongwei Zhu*, Boyu Li, Yi Xiong, Zirui Lian, Jiawei Geng, Xuehai Zhou, Arch2End: Two-Stage Unified System-Level Modeling for Heterogeneous Intelligent Devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 43, no. 11, pp. 4154-4165, Nov. 2024, doi: 10.1109/TCAD.2024.3443706. (CCF A 期刊)

14. Jiawei Geng, Zongwei Zhu*, Weihong Liu, Xuehai Zhou and Boyu Li. PowerLens: An Adaptive DVFS Framework for Optimizing Energy Efficiency in Deep Neural Networks. 61th ACM/IEEE Design Automation Conference (DAC 2024) : pp. 1-6. (CCF A 会议)

15. Jing Cao, Ran Wei, Qianyue Cao, Yongchun Zheng, Zongwei Zhu*, Cheng Ji and Xuehai Zhou. FedStar: Efficient Federated Learning on Heterogeneous Communication Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, doi: 10.1109/TCAD.2023.3346274, 2023. (CCF A 期刊)