![]()
-
- 电子邮箱：afff36c4aa942077a3f9b15b7e81f890197224f89c8ad5a0e7c90e80fb16987935bee9977c59f4d9c067c5cc4f51e8a774ce55ff8c2a8ce3ced8e132506f711eee307bf7e5f212baadabf4caa883826a1424f925859dae1517e6f23814e9a34c5a11c2b1db4b359102f014aae816fe13ba908cd20b387387abb87ea0844bad35
访问量：
-
[21] Yi Xiong, Wenjie Zhai, Xueyong Xu, Jinchen Wang, Zongwei Zhu*, Cheng Ji, Jing Cao. Ability-aware knowledge distillation for resource-constrained embedded devices. Journal of Systems Architecture, vol. 141, 102912, 2023. (CCF B 期刊).
-
[22] Zirui Lian, Weihong Liu, Jing Cao, Zongwei Zhu*, Xuehai Zhou. FedNorm: An Efficient Federated Learning Framework with Dual Heterogeneity Coexistence on Edge Intelligence Systems. IEEE 40th International Conference on Computer Design (ICCD 2022), Olympic Valley, CA, USA, pp. 619-626. (CCF B 会议).
-
[23] Zirui Lian, Jing Cao, Yanru Zuo, Weihong Liu, Zongwei Zhu*. AGQFL: Communication-efficient Federated Learning via Automatic Gradient Quantization in Edge Heterogeneous Systems. IEEE 39th International Conference on Computer Design (ICCD 2021), Storrs, CT, USA, pp. 551-558. (CCF B 会议).
-
[24] Jing Cao, Zongwei Zhu*, Xuehai Zhou. SAP-SGD: Accelerating Distributed Parallel Training with High Communication Efficiency on Heterogeneous Clusters. IEEE International Conference on Cluster Computing (CLUSTER 2021), Portland, OR, USA, pp. 94-102. (CCF B 会议).
-
[25] Cheng Ji, Fan Wu, Zongwei Zhu*, Li-Pin Chang, Huanghe Liu, Wenjie Zhai. Memory-efficient deep learning inference with incremental weight loading and data layout reorganization on edge systems. Journal of Systems Architecture, vol.18, 102183, 2021. (CCF B 期刊).
-
[26] Zongwei Zhu, Luchao Tan, Yinzhen Li*, Cheng Ji. PHDFS: Optimizing I/O performance of HDFS in deep learning cloud computing platform, Journal of Systems Architecture, vol. 109, 101810, 2020. (CCF B 期刊).
-
[27] Youqing Xu#, Boyu Li#, Zongwei Zhu*, Weihong Liu, Gangyong Jia, Guangjie Han, Xi Li. MultiRuler: A Multi-Dimensional Resource Modeling Method for Embedded Intelligent Systems of Autonomous Driving. IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2023.3341412, 2023. (清华B类，中科院二区期刊，IF=6.8).
