
Paper Publications
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[16] Jiawei Geng#, Jing Cao#, Haipeng Jia, Zongwei Zhu*, Hai Fang, Chengxi Gao, Cheng Ji, Gangyong Jia, Guangjie Han, Xuehai Zhou. Heter-Train: A Distributed Training Framework Based on Semi-Asynchronous Parallel Mechanism for Heterogeneous Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 1, pp. 959-972, Jan. 2024. (中科院一区期刊, CCF B类期刊,IF=8.5)
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[17] Zirui Lian, Jing Cao, Zongwei Zhu*, Xuehai Zhou, Weihong Liu. GOFL: An Accurate and Efficient Federated Learning Framework Based on Gradient Optimization in Heterogeneous IoT Systems. IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3333419 2023. (中科院一区期刊,IF=10.6)
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[18] Zongwei Zhu*#, Wenjie Zhai#, Huanghe Liu, Jiawei Geng,Cheng Ji, Mingliang Zhou*, Gangyong Jia. Juggler-ResNet: A Flexible and High-Speed ResNet Optimization Method for Intrusion Detection System in Software-Defined Industrial Networks. IEEE Transactions on Industrial Informatics, vol. 18, no. 6, pp. 4224-4233, June 2022. (中科院一区期刊,IF=12.3)
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[19] Yi Xiong#, Weihong Liu#, Rui Zhang, Yulong Zu, Zongwei Zhu*, Xuehai Zhou*. EPipe: Pipeline Inference Framework with High-quality Offline Parallelism Planning for Heterogeneous Edge Devices. 2024 ACM/IEEE International Conference on Computer-Aided Design (ICCAD '24). October 27-31 2024. Newark, NJ, USA. (CCF B 会议,计算机辅助设计顶级会议)
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[20] Yongchun Zheng#, Changlong Li#, Yi Xiong, Weihong Liu, Cheng Ji, Zongwei Zhu*, Lichen Yu. iAware: Interaction Aware Task Scheduling for Reducing Resource Contention in Mobile Systems. ACM Transactions on Embedded Computing Systems, vol. 22, no. 5, Oct 2023. (CCF B 期刊,EMSOFT嵌入式顶级会议Journal Track)
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[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)
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[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)
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[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)
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[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)
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[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)
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[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)
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[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)
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