1.A. Song, Z. Wu, X. Ma, J. Luo. CAT: A Cost-Aware Translator for SQL-query workflow to MapReduce jobflow.  Data & Knowledge Engineering, 2016, 102: 42-56.

2.Aibo Song, Yangyang Liu , Zhiang Wu, Mingyu Zhai, Junzhou Luo. A Local Random Walk Model for Complex Networks Based on Discriminative Feature Combinations. Expert Systems With Applications 2019，118 ：329–339.

3.Yingying Xue, Jiahui Jin, Aibo Song ∗, Yingxue Zhang, Yangyang Liu and Kaixuan Wang，Relation-Based Multi-Type Aware Knowledge Graph Embedding，Neurocomputing，2021，Volume 456 , Pages 11-22

4.Zhiang Wu, Aibo Song, Jie Cao, Junzhou Luo, Lu Zhang. Efficiently Translating Complex SQL Query to MapReduce Jobflow on Cloud. IEEE Transactions on Cloud Computing, 2020,8(2):508-517

5.Yangyang Liu, Mingyu Zhai, Jiahui Jin , Aibo Song ∗, Jikeng Lin , Zhiang Wu ,Yixin Zhao，Intelligent online catastrophe assessment and preventive control via astacked denoising autoencoder，Neurocomputing, 2020, 380: 306-320

6.Aibo Song, Maoxian Zhao, Yingying Xue, Junzhou Luo. MHDFS: A Memory-Based Hadoop Framework for Large Data Storage. Scientific Programming, 2016, : 1-12.

7.Aibo Song，Mingyu Zhai，Yingying Xue，Peng Chen, Mingyang Du, Yutong Wan. Query Optimization Approach with Middle Storage Layer for Spark SQL. The 22nd IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2018)，2018.5.9-11，Nanjing.

8.Song Aibo, Wang Wei, and Luo Jnunzhou. Stochastic Modeling of Dynamic Power Management Policies in Server Farms with Setup Times and Server Failures. International Journal of Communication Systems 2014, 27(4): 680-703

9.Yangyang Liu, Aibo Song*, Jiahui Jin, Mingyu Zhai, Yingying Xue, Feng Li. A opology-adaptive deep model for power system multifault diagnosis. IEEE International onference on Systems, Man, and Cybernetics. October 11-14, 2020，Toronto, Ontario, Canada

10.Aibo Song, Maoxian Zhao, Zuopeng Liang, Yisheng Dong, Junzhou Luo. Discovering User Profiles for Web Personalized Recommendation. Journal of Computer Science and Technology, 2004,19(3):320-328

11.Yuxiang Wang, Junzhou Luo, Aibo Song*, Fang Dong. Partition-Based Online Aggregation with Shared Sampling in the Cloud. Journal of Computer Science and Technology, 2013, 28(6): 989-1011

12.Yuxiang Wang, Junzhou Luo, Aibo Song, Fang Dong. A Sampling-based Hybrid Approximate Query Processing System in the Cloud. The 43th International Conference on Parallel Processing (ICPP 2014), September 2014.

13.Jiahui Jin, Junzhou Luo, Mingyang Du, Yongcheng Dang, Feng Li, Jinghui Zhang, Aibo Song*, A Data-Locality-Aware Task Scheduler for Distributed Social Graph Queries，Future Generation Computer Systems, DOI information: 10.1016/j.future.2018.04.086

14.Yuxiang Wang, Junzhou Luo, Aibo Song*, and JiahuiJin ,Improving Online Aggregation Performance for Skewed Data Distribution, The 17th International Conference on Database Systems for Advanced Applications( DASFAA 2012),2012.4,18-32, Busan, South Korea,2012

15.RunqunXiong, Junzhou Luo, Aibo Song, Bo Liu, Fang Dong, QoS Preference-Aware Replica Selection Strategy Using MapReduce-Based PGA in Data Grids, 2011 International Conference on Parallel Processing(ICPP 2011), 2011.09-13-16, 394-403, Taipei, Taiwan, 2011

16.Luo Junzhou, Song Aibo, Zhu Ye, Wang Xiaopeng, Ma Teng, Wu Zhiang, Xu Yaobin, Ge Liang, Grid Supporting Platform for AMS Data Processing, Parallel and Distributed Processing and Applications – ISPA 2005 Workshops, Nanjing, China, Nov. 2-5, LNCS 3759, Springer, 276-285

17.Wang Wei, Luo Junzhou, Song Aibo and Dong Fang, SLA-Based Resource Co-Allocation in Multi-Cluster Grid, IEEE Globe Communications Conference (GLOBECOM2010), Miami, USA, 6-10 December 2010

18.Jingya Zhou, Junzhou Luo, Aibo Song, NETOP: a Non-cooperative game based Topology OPtimization model towards improving search performance Journal of Internet Technology Volume 12 (2011) No.3

19.Jiahui Jin, Junzhou Luo, Aibo Song, Fang Dong and Runqun Xiong, BAR: An Efficient Data Locality Driven Task Scheduling Algorithm for Cloud Computing, The 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing(CCGrid 2011), Newport Beach, USA, May 23-26, 2011, 295-304.