• 1. Yiwen Zhang, Chunhui Yin, Zhihui Lu*, Dengcheng Yan, Meikang Qiu, Qifeng Tang. Recurrent Tensor Factorization for Time-aware Service Recommendation, Applied Soft Computing 85 (2019) 105762. (SCI) [PDF]
  • 2. Yiwen Zhang, Chunhui Yin, Qilin Wu*, Qiang He and Haibin Zhu. Location-aware Deep Collaborative Filtering for Service Recommendation, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC). 10.1109/TSMC.2019.2931723, 2019. (SCI) [PDF] [Source-code & Dataset]
  • 3. Ying Jin, Kaibin Wang, Yiwen Zhang∗, Yuanting Yan. Neighborhood-aware Web Service Quality Prediction using Deep Learning, EURASIP Journal on Wireless Communications and Networking. Article number: 222 (2019) (SCI) [PDF]
  • 4. Xiangliang Zhong, Yiwen Zhang*, Dengcheng Yan, Qilin Wu, Yuanting Yan and Wei Li. Recommendations for Mobile Apps Based on the HITS Algorithm Combined with Association Rules,IEEE Access, Accepted in July 2019 (SCI) [PDF]
  • 5. Wenming Zhang, Yiwen Zhang, Qilin Wu *, Kai Peng. Mobility-Enabled Edge Server Selection for Multi-user Composite Services [J]. Future Internet, Accepted in August 2019 (EI) [PDF]
  • 6. Kai Peng, Maosheng Zhu, Yiwen Zhang*, et al. An energy- and cost-aware computation offloading method for workflow applications in mobile edge computing [J]. EURASIP Journal on Wireless Communications and Networkingvolume, 207 (2019)
  • 7. Yiwen Zhang, Lei Wu, Qiang He*, Feifei Chen, Shuiguang Deng and Yun Yang. Diversified Quality Centric Service Recommendation,IEEE International Conference on Web Services (ICWS 2019). (CCF B) [PDF]
  • 8. Yiwen Zhang,Kaibin Wang,Qiang He*,Feifei Chen,Shuiguang Deng,Zibin Zheng,Yun Yang.Covering-based Web Service Quality Prediction via Neighborhood-aware Matrix Factorization, IEEE Transactions on Services Computing (TSC), Accepted in January 2019. (SCI) [PDF] [Source-code & Dataset]
  • 9. Ying Jin, Weiguang Guo, Yiwen Zhang∗. A Time-aware Dynamic Service Quality Prediction Approach for Web Services [J]. Tsinghua Science and Technology, 2020, 25(2): 227-238. (SCI) [PDF]
  • 10. Xing Guo, Shichao Yin, Yiwen Zhang*, Wei Li and Qiang He. Cold Start Recommendation Based on Attribute-Fused Singular Value Decomposition, IEEE Access, 7: 11349-11359 (2019) [PDF]
  • 11. 贾兆红, 王燕, 张以文. 求解差异机器平行批调度的双目标协同蚁群算法[J]. 自动化学报,已录用,2019.
  • 12. 袁梦祥, 张以文, 颜登程*. 基于二部网络表示学习的矩阵分解推荐算法, CBPM2019, Accepted. 2019.
  • 13. 丁汀, 颜登程*, 张以文. 一种融合煤矿多维时序数据的瓦斯异常检测算法,CBPM2019, Accepted,2019.
  • 14. Yiwen Zhang, Kaibin Wang, Yuanyuan Zhou* and Qiang He, Enhanced Adaptive Cloudlet Placement Approach for Mobile Application on Spark. Security and Communication Networks. 2018. (SCI) [PDF] [Source-code & Dataset]
  • 15. Yiwen Zhang, Guangming Cui, Shuiguang Deng, Feifei Chen, Yan Wang, Qiang He*. Efficient Query of Quality Correlation for Service Composition [J]. IEEE Transactions on services computing, DOI:10.1109/TSC.2018.2830773, 2018. (SCI) [PDF]
  • 16. Yiwen Zhang, yuanyuan zhou, Xing Guo*, Jintao Wu, Qiang He, Xiao Liu, and Yun Yang. Self-Adaptive K-means based on Covering Algorithm [J]. Complexity, 2018. (SCI) [PDF]
  • 17. Yi-wen Zhang, Yuan-yuan Zhou, Fu-tian Wang, Zheng Sun, Qiang He. Service Recommendation based on Quotient Space Granularity Analysis and Covering Algorithm on Spark [J], Knowledge-Based Systems, Volume 147, 1 May 2018, Pages 25-35 (SCI) [PDF]
  • 18. Yiwen Zhang, Jin Li, Zhangbing Zhou, Xiao Liu*. Efficient Dynamic Service Maintenance for Edge Services [J]. IEEE Access, 2018, 6(1):8829-8840 (SCI) [PDF]
  • 19. 张以文, 汪开斌, 严远亭, 陈洁, 何强. 基于覆盖随机游走算法的服务质量预测[J], 计算机学报,2018,41(12) : 2756-2768. (EI) [PDF]
  • 20. 张以文, 项涛, 郭星, 贾兆红, 何强. 基于SOM神经网络的服务质量预测[J]. 软件学报 , 2018,29(11):3388−3399. (EI) [PDF]
  • 21. 张以文, 崔光明, 严远亭, 赵姝, 张燕平. 任务粒化的质量约束感知服务组合[J]. 计算机研究与发展,2018,55(6):1345-1355 (EI) [PDF]
  • 22. 张以文,崔光明,郭星,张燕平.一种基于任务粒化的服务组合优化方法[J]. 电子学报,2018,46(1):245-251 (EI) [PDF]
  • 23. Yiwen Zhang, Xiaofei Ai, Feifei Chen and Qiang He, et al. Personalized Quality Centric Service Recommendation[C]. 15th International Conference on Service-Oriented Computing (ICSOC 2017), pp 528-544. (CCF B, Full paper, accepted rate<18%) [PDF]
  • 24. Yiwen ZHANG, Guangming CUI, Jintao Wu, Wen-Tsao Pan, Qiang HE. A Novel Multi-Scale Cooperative Mutation Fruit Fly optimization Algorithm [J]. Knowledge-Based Systems, 2016, 114:24-35.(SCI) [PDF] [Source-code & Dataset]
  • 25. Yiwen ZHANG, Guangming CUI, Shu ZHAO, Jie TANG. IFOA4WSC: A quick and effective algorithm for QoS-aware service composition [J]. International Journal of Web and Grid Services, 2016, 12(1):81-108. (SCI) [PDF]
  • 26. Yiwen ZHANG, Guangming CUI, Erzhou ZHU, Qiang He. AFOA: An Adaptive Fruit Fly Optimization Algorithm with Stable Global Optimizing Ability [J]. International Journal on Artificial Intelligence Tools. Vol. 25, No. 6 (2016) (SCI) [PDF] [Source-code & Dataset]
  • 27. Yiwen Zhang, Guangming Cui, Shuiguang Deng, Qiang He. Alliance-aware Service Composition Based on Quotient Space [C]//Web Services (ICWS), 2016 IEEE International Conference on. IEEE, 2016: 340-347. (CCF B) [PDF]
  • 28. Yiwen ZHANG, Guangming CUI, Yan WANG, et al. An Optimization Algorithm for Services Composition Based on an Improved FOA[J]. Tsinghua Science and Technology, 2015, 20(1):90-99. (SCI) [PDF]
  • 29. Yi-wen ZHANG,Jin-tao WU, Xing Guo, Guan-nan Lin. Optimizing Web Service Composition Based on Differential Fruit Fly Optimization Algorithm [J]. International Journal of Computing Science and Mathematics, 2016, 7(1):87-101. (EI)
  • 30. 张以文,吴金涛,赵姝,唐杰. 基于改进烟花算法的Web服务组合优化. 计算机集成制造系统[J], 2016, 22(2):422-432. (EI)
  • 31. Xing Guo, Jian Zhang,Wei Li and Yiwen Zhang*. A fruit fly optimization algorithm with a traction mechanism and its applications[J], International Journal of Distributed Sensor Networks, 2017, Vol. 13(11). (SCI)
  • 32. Xing Guo, Shi-chao Yin, Yi-wen Zhang and Wei Li*. Proportional-Integral-Derivative Controller Parameter Optimization Based on Improved Glowworm Swarm Optimization Algorithm[J]. Int. J. Computing Science and Mathematics, 2017, accepted, EI.
  • 33. Xing Guo, Shanshan Chen, Yiwen Zhang*. "Service Composition Optimization Method Based on Parallel Particle Swarm Algorithm on Spark." Security and Communication Networks 2017 (2017). (SCI)
  • 34. S Li,J Cui, H Zhong, Y Zhang, Q He. LEPA: A Lightweight and Efficient Public Auditing Scheme for Cloud-Assisted Wireless Body Sensor Networks [J]. Security & Communication Networks , 2017 (11) :1-16 (SCI)
  • 35. Yuanting Yan, Yanping Zhang, Yiwen Zhang, Xiuquan Du. A selective neural network ensemble classification for incomplete data, International Journal of machine learning and cybernetics, 2016, DOI: 10.1007/s13042-016-0524-0. (SCI)
  • 36. 王思臣, 涂辉,张以文. 基于不确定服务质量感知的云服务组合方法[J]. 计算机应用,2018,38( 10) : 2753 - 2758 [PDF]
  • 37. 张以文,艾晓飞,崔光明,钱付兰. 一种基于用户兴趣矩阵及全局偏好的推荐算法, 计算机科学与探索,2018, 12(2):197-207.
  • 38. 张以文,吴金涛. 基于动态Skyline和遗传粒子群算法的云服务组合优化[J]. 小型微型计算机系统, 37(11),2016.
  • 39. Yanping ZHANG, Zihui JING, Yiwen ZHANG*(Corresponding author). MR-IDPSO: A Novel Algorithm for Large-scale Dynamic Service Composition[J], Tsinghua Science and Technology, online,2015,20(6):602-612. (SCI & EI)
  • 40. Yuanting Yan, Yanping Zhang, Jie Chen, Yiwen Zhang. Incomplete data classification with voting based extreme learning machine, Neurocomputing, 2016, http://dx.doi.org/10.1016/j.neucom.2016.01.068. (SCI)
  • 41. 张燕平,张顺,钱付兰,张以文. 基于用户声誉的鲁棒协同推荐算法[J];自动化学报, 2015,41(5): 1004-1012. (EI)
  • 42. 张以文,张铃,钱付兰,刘慧婷.云制造模式下云服务选择算法研究[J],小型微型计算机系统. 2014,35(11):2390-2395.
  • 43. 赵姝,吕靖,张燕平,张以文.不完整数据集的信息熵集成分类算法[J], 模式识别与人工智能, 2014,27(3):193-198.
  • 44. 张燕平,荆紫慧,张以文. 基于离散粒子群算法动态Web服务组合[J],计算机科学, 2015,42(6):71-75.
  • 45. Jin Ying, Zhang Yiwen*. Personalized recommendation algorithm based on LFM with QoS constraint[C]//2017 IEEE International Congress on Big Data (BigData Congress). IEEE, 2017: 488-493.