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[TPDS@22] Wang F, Zhang W, Lai S, Hao M, Wang Z. Dynamic GPU Energy Optimization for Machine Learning Training Workloads. IEEE Transactions on Parallel and Distributed Systems, 2022. https://10.1109/TPDS.2021.3137867
[TCSVT@22] Liu Y, Ni J, Zhang W, et al. A Novel Video Steganographic Scheme Incorporating the Consistency Degree of Motion Vectors. IEEE Transactions on Circuits and Systems for Video Technology, 2022. https://10.1109/TCSVT.2021.3135384
[TOIT@22] Qiao Y, Zhang W, et al. Malware Classification Based on Multilayer Perception and Word2Vec for IoT Security. ACM Transactions on Internet Technology, 2022, 22(1):1-22. https://doi.org/10.1145/3436751
[TIFS@21] Hu X, Ni J, Zhang W, et al. Efficient JPEG Batch Steganography Using Intrinsic Energy of Image Contents. IEEE Transactions on Information Forensics and Security, 2021. https://dx.doi.org/10.1109/TIFS.2021.3109464
[TSC@21] Zhang W, Wang D, et al. Repeatable Multi-Dimensional Virtual Network Embedding in Cloud Service Platform. IEEE Transactions on Service Computing, 2021. https://dx.doi.org/10.1109/TSC.2021.3102016
[TPDS@21] Wang Y, Zhang W, Hao M, et al. Online Power Management for Multi-cores: A Reinforcement Learning Based Approach. IEEE Transactions on Parallel and Distributed Systems, 2021. https://dx.doi.org/10.1109/TPDS.2021.3092270
[TC@21] Wu Y, Zhang W, Guan N, et al. Improving Interference Analysis for Real-Time DAG Tasks under Partitioned Scheduling. IEEE Transactions on Computers, 2021. https://dx.doi.org/10.1109/TC.2021.3092181
[TPDS@21] Lu G, Zhang W, Wang Z. Optimizing Depthwise Separable Convolution Operations on GPUs. IEEE Transactions on Parallel and Distributed Systems, 2021. https://dx.doi.org/10.1109/TPDS.2021.3084813
[TII@21] Feng Y, Zhang W, Luo X, et al. A Consortium Blockchain-based Access Control Framework with Dynamic Orderer Node Selection for 5G-enabled Industrial IoT. IEEE Transactions on Industrial Informatics, 2021. https://dx.doi.org/10.1109/TII.2021.3078183
[TCC@21] Elgendy I A, Zhang W Z, Liu C Y, et al. An efficient and secured framework for mobile cloud computing. IEEE Transactions on Cloud Computing, 2018, 9(1): 79-87. (ESI 高被引论文) https://dx.doi.org/10.1109/TCC.2018.2847347
[TIE@21] Wang D, Zhang W, He H, et al. Efficient Hybrid Central Processing Unit/Input–Output Resource Scheduling for Virtual Machines. IEEE Transactions on Industrial Electronics, 2020, 68(3): 2714-2724. https://dx.doi.org/10.1109/TIE.2020.2975466
[TNSE@21] Shu J, Zhang W, Zhou Y, et al. FLAS: Computation and Communication Efficient Federated Learning via Adaptive Sampling. IEEE Transactions on Network Science and Engineering, 2021. https://dx.doi.org/10.1109/TNSE.2021.3056655
[TCC@21] Shu J, Zou X, Jia X, Zhang W, et al. Blockchain-Based Decentralized Public Auditing for Cloud Storage. IEEE Transactions on Cloud Computing, 2021. https://dx.doi.org/10.1109/TCC.2021.3051622
[TITS@20] Shu J, Wang S, Jia X, Zhang W,, et al. Efficient Lane-Level Map Building via Vehicle-Based Crowdsourcing. IEEE Transactions on Intelligent Transportation Systems, 2020. https://dx.doi.org/10.1109/TITS.2020.3040728
[TPDS@20] Hao M, Zhang W, Wang Y, et al. Fine-Grained Powercap Allocation for Power-Constrained Systems Based on Multi-Objective Machine Learning. IEEE Transactions on Parallel and Distributed Systems, 2020, 32(7): 1789-1801. https://dx.doi.org/10.1109/TPDS.2020.3045983
[TVT@20] Yadav R, Zhang W, Kaiwartya O, et al. Energy-Latency Tradeoff for Dynamic Computation Offloading in Vehicular Fog Computing. IEEE Transactions on Vehicular Technology, 2020, 69(12): 14198-14211. https://dx.doi.org/10.1109/TVT.2020.3040596
[TITS@20] Shu J, Zhou L, Zhang W, et al. Collaborative intrusion detection for VANETs: a deep learning-based distributed SDN approach. IEEE Transactions on Intelligent Transportation Systems, 2020. https://dx.doi.org/10.1109/TITS.2020.3027390
[TNSM@20] Elgendy I A, Zhang W Z, Zeng Y, et al. Efficient and secure multi-user multi-task computation offloading for mobile-edge computing in mobile IoT networks. IEEE Transactions on Network and Service Management, 2020, 17(4): 2410-2422. https://dx.doi.org/10.1109/TNSM.2020.3020249
[TNSE@20] Yang H, He H, Zhang W, et al. Fedsteg: A federated transfer learning framework for secure image steganalysis. IEEE Transactions on Network Science and Engineering, 2020. https://dx.doi.org/10.1109/TNSE.2020.2996612
[TCOM@20] Zhong X, Li L, Zhang Y, Zhang B, Zhang W, et al. Oodt: obstacle aware opportunistic data transmission for cognitive radio ad hoc networks. IEEE Transactions on Communications, 2020, 68(6): 3654-3666. https://dx.doi.org/10.1109/TCOMM.2020.2979976
[TPDS@20] Zou X, Lu T, Xia W, Wang X, Zhang W, et al. Performance optimization for relative-error-bounded lossy compression on scientific data. IEEE Transactions on Parallel and Distributed Systems, 2020, 31(7): 1665-1680. https://dx.doi.org/10.1109/TPDS.2020.2972548
[TR@20] Zhang W, Wang H, He H, et al. DAMBA: detecting android malware by ORGB analysis. IEEE Transactions on Reliability, 2020, 69(1): 55-69. https://dx.doi.org/10.1109/TR.2019.2924677
[TII@20] Zhang W, Bai E, Li J. Speeding up the schedulability analysis and priority assignment of sporadic tasks under uniprocessor FPNS. IEEE Transactions on Industrial Informatics, 2020, 16(10): 6382-6392. https://dx.doi.org/10.1109/TII.2020.2968590
[JPDC@19] Hao M, Zhang W, Zhang Y, et al. Automatic generation of benchmarks for I/O-intensive parallel applications. Journal of Parallel and Distributed Computing, 2019, 124: 1-13. https://doi.org/10.1016/j.jpdc.2018.10.004
[FGCS@19] Lu G, Zhang W, He H, et al. Performance modeling for MPI applications with low overhead fine-grained profiling. Future Generation Computer Systems, 2019, 90: 317-326. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2018.08.018
[TCC@17] Zhang W Z, Xie H C, Hsu C H. Automatic memory control of multiple virtual machines on a consolidated server. IEEE Transactions on Cloud Computing, 2015, 5(1): 2-14. http://dx.doi.org/10.1109/TCC.2014.2378794
[FGCS@17] Zhang W, Han S, He H, et al. Network-aware virtual machine migration in an overcommitted cloud. Future Generation Computer Systems, 2017, 76: 428-442. . http://dx.doi.org/10.1016/j.future.2016.03.009
[TC@16] Zhang W, Cheng A M K, Subhlok J. Dwarfcode: a performance prediction tool for parallel applications. IEEE Transactions on Computers, 2015, 65(2): 495-507. http://dx.doi.org/10.1109/TC.2015.2417526
[TCC@16] He H, Zhang W, Liu C, et al. Trustworthy enhancement for cloud proxy based on autonomic computing. IEEE Transactions on Cloud Computing, 2016, 8(4): 1108-1121. http://dx.doi.org/10.1109/TCC.2016.2603508
[软件学报@15] 白恩慈，张伟哲. 一种计算混合关键任务响应时间的方法.软件学报,2015,26(S2):257-262
[软件学报@12] 张伟哲，张宏莉，许笑，何慧. 分布式搜索引擎系统效能建模与评价. 软件学报. 2012,23(2):253-265
[计算机研究与发展@12] 张伟哲，张鸿，刘欣然，陈琳，李东.基于语料阶梯评价的互联网论坛舆论领袖筛选算法. 计算机研究与发展, 2012, 49(Suppl.):145-152
[电子学报@12] 张伟哲，王佰玲，何慧，谭卓鹏. 基于异质网络的意见领袖社区发现. 电子学报, 2012, 40(10):1927-1932.
[计算机学报@11] 张伟哲，张宏莉，张迪，程涛.云计算平台中多虚拟机内存协同优化策略研究. 计算机学报. 2011, 34(12):2265-2277.
[软件学报@10] 张伟哲，张宏莉，张元竞. 基于判例构造的并行作业性能预测. 软件学报, 2010, 21(sup):238-250
[软件学报@10] 许笑，张伟哲，张宏莉，方滨兴. 广域网分布式Web爬虫. 软件学报. 2010,21(5):1067-1082
[软件学报@07] 张伟哲，田志宏，张宏莉，何慧，刘文懋. 虚拟计算环境中的多机群协同调度算法. 软件学报. 2007, 18(8):2027-2037.
[中国科学E辑@06] 张伟哲，方滨兴，胡铭曾，刘欣然，张宏莉，高雷. 计算网格环境下基于多址协同的作业级任务调度算法. 中国科学E辑:信息科学. 2006, 36(10):1240-1262.
[计算机学报@06] 张伟哲，方滨兴，胡铭曾，张宏莉. 基于信任QOS增强的计算服务调度算法. 计算机学报. 2006，29(7): 1157-1166
[通信学报@06] 张伟哲，刘欣然，云晓春，张宏莉，胡铭曾，刘凯鹏. 信任驱动的网格作业调度算法. 通信学报. 2006，27(2) :73-79
[计算机研究与发展@06] 张伟哲，胡铭曾，张宏莉，刘凯鹏. 多QoS约束网格作业调度问题的多目标演化算法. 计算机研究与发展. 2006，43(11):1855-1862.
[计算机研究与发展@04] 张伟哲，胡铭曾，刘凯鹏. 基于网络性能的计算网格主机聚类. 计算机研究与发展. 2004，41(12): 2135-2140
Conferences
[CLUSTER'20] Lu, Gangzhao, Weizhe Zhang, and Zheng Wang. "Optimizing gpu memory transactions for convolution operations." 2020 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 2020.
[ICPP'20] Hu, Zhenbo, et al. "Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity." The 49th International Conference on Parallel Processing (ICPP 2020). 2020.
[PDSW'14] Babak Behzad, Hoang-Vu Dang, Farah Hariri, Weizhe Zhang, Marc Snir."Automatic Generation of I/O Kernels for HPC Applications". In: Proc. of the 9th Parallel Data Storage Workshop (PDSW’14), (associated with the 2014 Internatonal Conference for High Performance Computing, Networking, Storage, and Analysis(SC 2014)),New Orleans, LA, USA, November. 16-21, 2014, Piscataway, NJ, USA: IEEE Press.31-36
[CLUSTER'12] Weizhe Zhang, Tianyu Han, Yuanjing Zhang, Albert M.K.Cheng. "Performance Prediction for MPI Parallel Jobs".In: Proc. of the 2012 International Workshop on Power and QoS Aware Computing (PQoSCom’12), (associated with the IEEE Cluster 2012 (Cluster 2012)), Beijing, China, September. 24-28, 2012, Piscataway, NJ, USA: IEEE Press.136-142
[IPDPS'12] Weizhe Zhang, Hongli Zhang, Huixiang Chen, Qizhen Zhang, Albert M.K.Cheng. "Improving the QoS of Web Applications across Multiple Virtual Machines in Cloud Computing Environment". In: Proc. of the 1st International Workshop on Workflow Models, Systems, Services and Applications in the Cloud (CloudFlow 2012), (associated with the 26th International Parallel and Distributed Processing Symposium (IPDPS 2012)),Shanghai, China, May. 21-25, 2012, Piscataway, NJ, USA: IEEE Press.2241-2247
[CIKM'10] Kaipeng Liu, Binxing Fang, Weizhe Zhang. "Ontology Emergence from Folksonomies". In:Proceedings of the 19th ACM international conference of Information and knowledge management (CIKM2010), Toronto, Canada. Oct., 1109-1118. 2010
[ICPADS'09] Xiao Xu, Weizhe Zhang, Hongli Zhang, Binxing Fang. “A Forwarding-based Task Scheduling Algorithm for Distributed Web Crawling over DHTs”. In: Proc. of the 2009 IEEE International Workshop on Internet-based Virtual Computing Environment (iVCE’09) (associated with the 15th International Conference on Parallel and Distributed Systems (ICPADS’09)) , Shenzhen, Guangdong, China, December. 8-11 Piscataway, NJ , 2009
[HPGC'06] Weizhe Zhang, Albert M.K.Cheng，and Mingzeng Hu, “Multisite Co-allocation Algorithms for Computational Grid”, In: Proc. of the 3rd High-Performance Grid Computing Workshop(HPGC’06), (associated with the International Parallel and Distributed Processing Symposium 2006 (IPDPS’06)), Rhodes Island, Greece, Apr. 25~29, 2006.
[PDCAT'05] Weizhe Zhang, Mingzeng Hu, and Hongli Zhang, “Load Balance Heuristics for Synchronous Iterative Applications on Heterogeneous Cluster Systems”, In: Proc. of the 6th International Conf. on Parallel and Distributed Computing, Applications and Technologies(PDCAT 2005)，Dalian, P.R.China, Dec. 5~8, 2005, New York: IEEE Press, 2005
[HCW'04] Weizhe Zhang, Binxing Fang, Hui He, Hongli Zhang, and Mingzeng Hu, “Multisite Resource Selection and Scheduling Algorithm on Computational Grid”, In: Proc. of the 13th Heterogeneous Computing Workshop (HCW’04), (associated with the International Parallel and Distributed Processing Symposium 2004 (IPDPS’04)), Santa Fe, New Mexico, USA, Apr. 26~30, 2004, New York: IEEE Press, 2004
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