论文发表

1. Yi Zhang, Yiwen Zhang*, Yuchuan Zhao, Shuiguang Deng, Yun Yang. Dual Variational Graph Reconstruction Learning for SocialRecommendation[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE)，accepted，April, 2024
2. Yi Zhang, Lei Sang,Yiwen Zhang*，Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering[C], In SIGIR 2024.
3. Lei Sang,Weichen Fei,Yi Zhang,Yuee Huang, Yiwen Zhang*.Heterogeneous Adaptive Preference Learning for Recommendation[J],ACM Transactions on Recommender Systems, accepted，March, 2024.
4. Li Ni, Qiuyu Li, Yiwen Zhang*, Wenjian Luo,Victor S. Sheng. LSADEN: Local Spatial-aware CommunityDetection in Evolving Geo-social Networks[J].IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted，December, 2023.
5. Yi Zhang, Yiwen Zhang*, Dengcheng Yan*, Qiang He, and Yun Yang. NIE-GCN: Neighbor Item Embedding-aware GraphConvolutional Network for Recommendation[J], IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC). accepted, December, 2023.
6. Li Ni, Junnan Ge, Yiwen Zhang*, Wenjian Luo, and Victor S. Sheng. Semi-Supervised Local Community Detection[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE)，accepted，June, 2023. [源码下载]
7. Li Ni, Hefei Xu, Yiwen Zhang*, Wenjian Luo, Yingying Huang, and Victor S. Sheng. Local Overlapping Spatial-aware Community Detection[J]. ACM Transactions on Knowledge Discovery from Data (TKDD), accepted，2023.
8. Lei Sang, Mingyuan Liu, Yi Zhang, Yuee Huang, Yiwen Zhang*. Bi-directional Transfer Graph ContrastiveLearning for Social Recommendation[J]. IEEE Transactions on Big Data (TBD)，accepted，2023.
9. Yunfei He, Yiwen Zhang*, Fei Yang* , Dengcheng Yan, and Victor S.Sheng. Label-Dependent Graph Neural Network[J]. IEEE Transactions on Computational Social Systems (TCSS), accepted，2023.
10. Hui Dou, Lei Zhang, Yiwen Zhang*, Pengfei Chen and Zibin Zheng. TurBO: A Cost-Efficient Configuration-Based Auto-Tuning Approach for Cluster-Based Big Data Frameworks. Journal of Parallel and Distributed Computing (JPDC), accepted, March 2023.
11. Abednego Acheampong , Yiwen Zhang* , Xiaolong Xu. A Parallel Computing based Model for Online Binary Computation Offloading in Mobile Edge Computing [J]. Computer Communications，accepted, March 2023
12. Yi Zhang, Yiwen Zhang*, Dengcheng Yan, Shuiguang Deng, Yun Yang. Revisiting Graph-based Recommender Systems from the Perspective of Variational Auto-Encoder[J]. ACM Transactions on Information Systems (TOIS), accepted, November 2022.
13. Zhaolong Ling, Ying Li, Yiwen Zhang*, Kui Yu, Peng Zhou, Bo Li, and Xindong Wu. Causal Feature Selection for High-Dimensional Data[J]. IEEE Transactions on Knowledge and Data Engineering（TKDE），DOI: 10.1109/TKDE.2022.3218786, 2022.
14. Hui Dou, Yilun Wang, Yiwen Zhang and Pengfei Chen. DeepCAT: A Cost-Efficient Online Configuration Auto-Tuning Approach for Big Data Frameworks. 2022 51st International Conference on Parallel Processing (ICPP), 2022. DOI:10.1145/3545008.3545018
15. Hui Dou, Jicheng Mei, Yiwen Zhang*, Pengfei Chen and Zibin Zheng. JointConf: Jointly Auto-Tuning Configuration Parameters for Modularized Graph Databases[J]. Journal of Software: Evolution and Process, 2022, 34(12):e2495. DOI:10.1002/smr.2495
16. Hui Dou, Kang Wang, Yiwen Zhang*, and Pengfei Chen. ATConf: auto-tuning high dimensional configuration parameters for big data processing frameworks[J]. Cluster Computing, 2022. DOI: 10.1007/s10586-022-03767-0
17. Li Ni, Hefei Xu, Yiwen Zhang* and Wenjian Luo. Spatial-Aware Local Community Detection Guided by Dominance Relation[J]. IEEE Transactions on Computational Social Systems, DOI: 10.1109/TCSS.2022.3209976，2022.
18. Zhaohong Jia, Li Jin, Yiwen Zhang*, Chuang Liu, Kai Li, Yun Yang. Location-aware Web Service QoS Prediction via Deep Collaborative Filtering[J]. IEEE Transactions on Computational Social Systems, DOI: 10.1109/TCSS.2022.3217277,2022
19. Zhaolong Ling, Bo Li, Yiwen Zhang*, Ying Li, and Haifeng Ling. Online Markov Blanket Learning for High-Dimensional Data [J]. Applied Intelligence, accepted, May 2022.
20. Zhaolong Ling, Bo Li, Yiwen Zhang*, Qingren Wang, Kui Yu, and Xindong Wu. Causal Feature Selection with Efficient Spouses Discovery[J]. IEEE Transactions on Big Data (TBD)，accepted，May 2022.
21. Dengcheng Yan, Wenxin Xie, Yiwen Zhang*, Qiang He, and Yun Yang. Hypernetwork Dismantling via Deep Reinforcement Learning [J]. IEEE Transactions on Network Science and Engineering (TNSE), accepted, May 2022.
22. Yunfei He, Dengcheng Yan, Wenxin Xie, Yiwen Zhang*, Qiang He, and Yun Yang. Optimizing Graph Neural Network with Multiaspect Hilbert-Schmidt Independence Criterion[J]. IEEE Transactions on Neural Networks and Learning Systems(TNNLS), accepted, April 2022.
23. Dengcheng Yan, Yuchuan Zhao, Zhongxiu Yang, Ying Jin, Yiwen Zhang*. FedCDR: Privacy-preserving Federated Cross-domain Recommendation[J]. Digital Communications and Networks(DCN), accepted, April 2022.
24. Yuanting Yan, Yuanwei Zhu, Ruiqing Liu, Yiwen Zhang*, Yanping Zhang, Ling Zhang. Spatial Distribution-based Imbalanced Undersampling[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE），DOI: 10.1109/TKDE.2022.3161537，2022.
25. Dengcheng Yan, Jie Cao, Wenxin Xie, Yiwen Zhang, Hong Zhong*. PersonalityGate: A General Plug-and-Play GNN Gate to Enhance Cascade Prediction with Personality Recognition Task[J]. Expert Systems with Applications(ESWA), accepted, April 2022.
26. Yunfei He, Dengcheng Yan, Yiwen Zhang*, Qiang He, Yun Yang. Semantic Trade-off for Heterogeneous Graph Embedding[J]. IEEE Transactions on Computational Social Systems（TCSS）, accepted, March 2022.
27. Qingren Wang, Chengcheng Zhu, Yiwen Zhang*, Hong Zhong, Jinqin Zhong, and Victor S. Sheng. Short Text Topic Learning Using Heterogeneous Information Network[J]. IEEE Transactions on Knowledge and Data Engineering (TKDE），accepted, January 2022.
28. Qingren Wang, Jian Lu, Wei Li*, Jing Zhang, and Victor S. Sheng, Homophily-aware Correction Framework for Crowdsourced Labels Using Heterogeneous Information Network[J]. Expert Systems with Applications（ESWA）, accepted，January 2022.
29. Dengcheng Yan, Tianyi Tang, Yiwen Zhang*. Session-based Social and Dependency-aware Software Recommendation[J]. Applied Soft Computing（ASC）, accepted, January 2022.
30. Zhaolong Ling,Kui Yu,Lin Liu, Jiuyong Li,Yiwen Zhang,Xindong Wu. PSL: an Algorithm for Partial Bayesian Network Structure Learning[J],ACM Transactions on Knowledge Discovery from Data(TKDD). accepted. 2021.12.23
31. Yanming Chen, Xiang Wen , Yiwen Zhang∗ and Qiang He. FPC: Filter Pruning via the Contribution of Output Feature Map for Deep Convolutional Neural Networks Acceleration[J]. Knowledge-Based Systems（KBS），Volume 238, 28 February 2022.
32. Dengcheng Yan,Wenxin Xie,Yiwen Zhang*,Qiang He.Heterogeneous information network based interest compositions with dual supervision for recommendation, Applied intelligence, 2021,11,accepted.
33. Qingren Wang, Min Zhang,Yiwen Zhang*,Jinqin Zhong,Victor S. Sheng. Location-based Deep Factorization Machine Model for Service Recommendation, Applied intelligence, 2021,11,accepted.
34. 颜登程, 储蓓,李冬, 倪莉, 张以文*. 融合全局和局部信息的端到端边分类方法, 中文信息学报，2021.11, 录用.
35. 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), 14(5):1333-1344,2021.. [论文下载] [源码下载]
36. Li Ni, Wenjian Luo, Tao Zhu, and Peilan Xu. On Followers Search. IEEE Transactions on Computational Social Systems（TCSS）, accepted，2021.
37. Yi Zhang, Bo Hu, Yiwen Zhang*. Model-Driven Open Ecological Cloud Enterprise Resource Planning[J]. International Journal of Web Services Research (IJWSR), Volume 18 • Issue 3 • July-September 2021
38. Lin Mu, Peiquan Jin*, et al. Detecting Evolutionary Stages of Events on Social Media: A Graph-Kernel-Based Approach. Future Generation Computer Systems（FGCS）, 2021.
39. 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 (TSC),14(3):695 - 709, 2021. [论文下载]
40. 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). 51(6):3796-3807, 2021. [论文下载] [源码下载]
41. Yiwen Zhang*, Jie Pan, Lianyong Qi, Qiang He. Privacy-Preserving Quality Prediction for Edge-based IoT Services[J]. Future Generation Computer Systems（FGCS）,Vol 114, January 2021, pp:336-348.
42. Guangming Cui;Qiang He;Feifei Chen;Yiwen Zhang;Hai Jin;Yun Yang. Interference-aware Game-theoretic Device Allocation for Mobile Edge Computing[J], IEEE Transactions on Mobile Computing (TMC), Accpeted,2021.
43. Yunfei He, Yiwen Zhang* , Lianyong Qi, Dengcheng Yan, Qiang He. Outer Product Enhanced Heterogeneous Information Network Embedding for Recommendation[J]. Expert Systems with Applications (ESWA), Volume 169, 1 May 2021.
44. Wei Li, Xin Wang, Yiwen Zhang* and Qilin Wu. Traffic flow prediction over multisensor data correlation with graph convolution network[J]，Neurocomputing，2021,427: 50-63.
45. Yi-wen Zhang , Wen-ming Zhang , Kai Peng , Deng-cheng Yan & Qi-lin Wu. A novel edge server selection method based on combined genetic algorithm and simulated annealing algorithm[J]. Automatika, 2021,62(1): 32-43.
46. 李炜,蒋越,闵江松,张以文,王庆人. 边缘计算环境下自适应移动路径感知的用户分配算法[J]. 计算机集成制造系统，27(9):2592-2603 .
47. Zhaolong Ling, Kui Yu, Hao Wang*, Lei Li, Xindong Wu. Using feature selection for local causal structure learning[J]. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2020, 99: 1 - 11.
48. Li Ni, Wenjian Luo*, Wenjie Zhu, Wenjie Liu. Mining the local dependency itemset in a products network. ACM Transactions on Management Information Systems（TMIS）, 2020, 11(1): 1 - 31.
49. Wu J , Guo X* , Yang G , et al. Substructure Similarity Search for Engineering Service-Based Systems[J]. Journal of Systems and Software, 2020:110569.
50. 何云飞, 张以文*, 吕智慧, 颜登程, 何强. 异质信息网络中元路径感知的评分协同过滤[J]. 计算机学报，2020,43(12):2385-2397
51. D Yan, B Qi, Y Zhang* ,et al. M-BiRank: co-ranking developers and projects using multiple developer-project interactions in open source software community. EURASIP Journal on Wireless Communications and Networking, 2020:215
52. Yiwen Zhang, Haishuai Guo, Zhihui Lu*，et al. Distributed gas concentration prediction with intelligent edge devices in coal mine, Engineering Applications of Artificial Intelligence (EAAI), 92（2020）103643. [论文下载]
53. Yueyue Xia, Xiangliang Zhong, Yiwen Zhang*, Yuanting Yan. Functional feature-aware APP recommendation with personalized PageRank[J]. International Journal of Ad Hoc and Ubiquitous Computing, accepted, 2020.
54. Qingren Wang, Chuankai Feng, Yan Xu, Hong Zhong and Victor S Sheng, A Novel Privacy-Preserving Speech Recognition Framework Using Bidirectional LSTM, Journal of Cloud Computing，2020 (Accept).
55. Wang Qingren, Zhang Min, Tao tao, Victor S. Sheng. Labelling Training Samples Using Crowdsourcing Annotation for Recommendation, Complexity, 2020.
56. 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. [论文下载]
57. 袁梦祥, 颜登程*，张以文, 周珊. 基于二部网络表示学习的矩阵分解推荐算法, 计算机集成制造系统, 26(6）:1557-1563，2020. [论文下载]
58. 丁汀, 颜登程*, 张以文, 周珊. 一种融合煤矿多维时序数据的瓦斯异常检测算法，计算机集成制造系统, 26(6):1651-1659, 2020. [论文下载]
59. 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. [论文下载]
60. Li Ni, Wenjian Luo* , Wenjie Zhu, Wenjie Liu. Clustering by finding prominent peaks in density space, Engineering Applications of Artificial Intelligence, 2019, 85: 727 - 739.
61. Zhaolong Ling, Kui Yu, Hao Wang*, lin Liu, Wei Ding, Xindong Wu. Bamb: A balanced Markov blanket discovery approach to feature selection[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2019, 10(5): 1 - 25.
62. Li Ni, Wenjian Luo*, Wenjie Zhu, Bei Hua. Local overlapping community detection. ACM Transactions on Knowledge Discovery from Data, 2019, 14(1): 1 - 25.
63. 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) [论文下载]
64. 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 [论文下载]
65. 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 [论文下载]
66. 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)
67. 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). [论文下载]
68. 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) [论文下载]
69. 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.
70. 夏月月;张以文. 基于三支决策理论的改进K-means算法，小型微型计算机系统，录用，2019.
71. Lin Mu, Peiquan Jin＊, Lizhou Zheng, et al. Lifecyle-Based Event Detection from Microblogs, full paper, WWW 2018. (CCF A)
72. Wang Qingren, Sheng Victor S, Wu Xindong. Document-specific keyphrase candidate search and ranking, Expert Systems with Applications (ESWA), 2018, 97: 163-176.
73. Yiwen Zhang, Kaibin Wang, Yuanyuan Zhou* and Qiang He, Enhanced Adaptive Cloudlet Placement Approach for Mobile Application on Spark. Security and Communication Networks. 2018. [论文下载] [源码下载]
74. 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. [论文下载]
75. 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 (KBS), Volume 147, 1 May 2018, Pages 25-35 [论文下载]
76. Yiwen Zhang, Jin Li, Zhangbing Zhou, Xiao Liu*. Efficient Dynamic Service Maintenance for Edge Services [J]. IEEE Access, 2018, 6(1):8829-8840 [论文下载]
77. 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. [论文下载]
78. 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. [论文下载]
79. 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 [论文下载]
80. 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 [论文下载]
81. Peiquan Jin＊, Lin Mu, Lizhou Zheng, et al. News Feature Extraction for Events on Social Network Platforms, full paper WWW 2017.(CCF A)
82. Wang Qingren, Sheng Victor S, Wu Xindong. Keyphrase extraction with sequential pattern mining, 31st AAAI Conference on Artificial Intelligence, AAAI 2017, USA. (CCF A类会议)
83. Hui Dou, Yong Qi. An online electricity cost budgeting algorithm for maximizing green energy usage across data centers. Frontiers of Computer Science, 2017, 11(4):661-674.
84. Hui Dou, Yong Qi, Wei Wei, Houbing Song. Carbon-aware electricity cost minimization for sustainable data centers. IEEE Transactions on Sustainable Computing, 2017, 2(2):211-223.
85. 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%) [论文下载]
86. 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 (KBS), 2016, 114:24-35.（SCI） [论文下载] [源码下载]
87. 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） [论文下载]
88. 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） [论文下载] [源码下载]
89. 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） [论文下载]
90. 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) [论文下载]
91. 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)
92. 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)
93. 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)
94. 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.
95. 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)
96. 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)
97. 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.
98. 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.
99. 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 [论文下载]
100. 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.
101. 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.
102. 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.
103. 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.
104. 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.
105. 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.
106. 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.
107. 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.
108. 窦晖, 齐勇, 王培健, 张恺玉. 一种最小化绿色数据中心电费的负载调度算法. 软件学报, 2014, 25(7):1448-1458.
109. Peijian Wang, Yong Qi, Hui Dou, Lei Rao, Xue Liu. Present or future: Optimal pricing for spot instances. 2013 IEEE International Conference on Distributed Computing Systems (ICDCS), 2013:410-419.