Tu Shanshan

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Personal profile

Name: Tu Shanshan



TitleAssociate Professor


Current Professional Societies

  1. Deputy Dean of College of Computer Science

  2. Member of Chinese Association for Cryptologic Research,and IEEE

Research Areas

  1. Deep learning, and convolution neural networks;

  2. Cloud/fog computing security method and application.


  1. Shanshan Tu, Muhammad Waqas, Qiangqiang Lin, Sadaqat Ur Rehman, Muhammad Hanif, Chuangbai Xiao, M. Majid Butt, Chin-Chen Chang. Tracking Area List Allocation Scheme Based on Overlapping Community Algorithm. Computer Networks. 2020, 173: 107182.

  2. Shanshan Tu, Muhammad Waqas, Yuan Meng, Sadaqat Ur Rehman, Iftekhar Ahmad, Anis Koubaa, Zahid Halim, Chin-Chen Chang, Chengjie Shi. Mobile Fog Computing Security: A User-Oriented Smart Attack Defense Strategy Based On DQL. Computer Communications, 2020. (Accepted)

  3. Shanshan Tu, Sadaqat Ur Rehman, Muhammad Waqas, Obaid Ur Rehman, Zhongliang Yang, Basharat Ahmad, Zahid Halim, Wei Zhao. Optimization Based Training of Evolutionary Convolution Neural Network for Visual Classification Applications. IET Computer Vision, 2020. DOI: 10.1049/iet-cvi.2019.0506

  4. Shanshan Tu, Obaid Ur Rehman, Sadaqat Ur Rehman, Shafi Ullah, Muhammad Waqas, Ran Zhu. A Novel Quantum Inspired Particle Swarm Optimization Algorithm for Electromagnetic Applications. IEEE Access, 2020, 8: 21909-21916.

  5. Meng Liu,Shanshan Tu*, Chuangbai Xiao, Muhammad Waqas, Sadaqat Ur Rehman, Chin-Chen Chang. The Allocation and Reuse Scheme of Physical Cell Identifications Based on Maximum Degree First Coloring Algorithm. IEEE System Journal, 2020, 14(1): 582-591.

  6. Muhammad Aamir,Shanshan Tu*, Majid Tolouei-Rad, Khaled Giasin, Ana Vafadar. Optimization and Modeling of Process Parameters in Multi-Hole Simultaneous Drilling Using Taguchi Method and Fuzzy Logic Approach. Materials, 2020, 13(3): 680.

  7. Muhammad Aamir,Shanshan Tu*, Khaled Giasin, Majid Tolouei-Rad. Multi-hole simultaneous drilling of aluminium alloy: A preliminary study and evaluation against one-shot drilling process. Journal of Materials Research and Technology, 2020. DOI: 10.1016/j.jmrt.2020.02.026.

  8. Muhammad Waqas,Shanshan Tu*, Sadaqat Ur Rehman, Zahid Halim, Sajid Anwar, Ghulam Abbas, Ziaul haq Abbas. Authentication of Vehicles and Road Side Units in Intelligent Transportation System. Computers, Materials & Continua, 2020. (Accepted)

  9. Muhammad Waqas,Shanshan Tu*, Sadaqat Ur Rehman, Ghulam Abbas, Ziaul Haq Abbas,Zahid Halim, Iftekhar Ahmad. Reinforcement Learning Assisted Impersonation Attack Detection in Device to Device Communications. IEEE Transactions on Vehicular Technology, 2020. (Accepted)

  10. Xiaoping Wang, Muhammad Waqas,Shanshan Tu, Sadaqat Ur Rehman, Ridha Soua, Obaid Ur Rehman, Sajid Anwar, Wei Zhao. Power maximisation technique for generating secret keys by exploiting physical layer security in wireless communication. IET Communications, 2020, 14(5): 872-879.

  11. Kaining Huang, Yan Shi, Fuqi Zhao, Zijun Zhang,Shanshan Tu. Multiple instance deep learning for weakly-supervised visual object tracking. Signal Processing: Image Communication, 2020, 84: 115807.

  12. Yan Shi, Zijun Zhang, Kaining Huang, Wudi Ma,Shanshan Tu. Human-computer interaction based on face feature localization. Journal of Visual Communication and Image Representation, 2020. DOI: 10.1016/j.jvcir.2019.102740.

  13. Sadaqat Ur Rehman,Shanshan Tu*, Muhammad Waqas, Yongfeng Huang, Obaid Ur Rehman, Basharat Ahmad, Salman Ahmad. Unsupervised pre-trained filter learning approach for efficient convolution neural network. Neurocomputing, 2019, 365: 171–190.

  14. Qiangqiang Lin,Shanshan Tu*, Muhammad Waqas, Sadaqat Ur Rehman, Chin-Chen Chang. Tracking areas planning based on spectral clustering in small cell networks. IET Communications, 2019, 13(13): 1921-1927.

  15. Xiaojing Li,Shanshan Tu*. Characteristics of solar activity and its possible relationship with East Asian summer monsoon. Applied Ecology and Environmental Research, 2019, 17(2): 4067-4080,

  16. Yuan Meng,Shanshan Tu*, Jinliang Yu, Fengming Huang. Intelligent attack defense scheme based on DQL algorithm in mobile fog computing. Journal of Visual Communication and Image Representation, 2019, 65: 102656.

  17. Shanshan Tu, Xinyi Huang. Towards Provenance Cloud Security Auditing Based on Association Rule Mining. International Journal for Engineering Modelling, 2019, 32(2-4): 1-16.

  18. Shanshan Tu, Qiangqiang Lin, Weipeng Wang, Kaili Sun, Yao Huang, Hong Phong Nguyen. NCD-TAP: A Tracking Area Planning Approach Based on Newman Community Detection for HCN. International Journal of Circuits, Systems and Signal Processing, 2019, 13: 140-147.

  19. Sadaqat Ur Rehman, Yongfeng Huang,Shanshan Tu, Basharat Ahmad. Learning a Semantic Space for Modeling Images, Tags and Feelings in Cross-Media Search. 2019 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), pp 65-76.

  20. Imran Ali Khoso, Talha Bin Javed,Shanshan Tu, Yuanyuan Dong, Hua Li, Xiyuan Wang, Xiaoming Dai. A fast-convergent detector based on joint jacobi and richardson method for uplink massive MIMO Systems. 28th Wireless and Optical Communications Conference (WOCC 2019), No. 8770631.

  21. Shanshan Tu, Meng Liu, Muhammad Waqas, Sadaqat Ur Rehman, Ran Zhu, Lei Liu. FHC-PCIA: A Physical Cell Identification Allocation Method Based on Fuzzy Hierarchical Clustering for Heterogeneous Cellular Network. IEEE Access, 2018, 6: 46976-46987.

  22. Shanshan Tu, Xinyi Huang, Yao Huang, Muhammad Waqas, Sadaqat Ur Rehman. SSLSS: Semi-Supervised Learning-based Steganalysis Scheme for Instant Voice Communication Network. IEEE Access, 2018, 6: 66153-66164.

  23. Shanshan Tu, Muhammad Waqas, Sadaqat Ur Rehman, Muhammad Aamir, Obaid Ur Rehman, Jianbiao Zhang, Chin-Chen Chang. Security in Fog Computing: A Novel Technique to Tackle an Impersonation Attack. IEEE Access, 2018, 6: 74993-75001.

  24. Sadaqat Ur Rehman,Shanshan Tu*, Yongfeng Huang, Obaid Ur Rehman. A Benchmark Dataset and Learning High-level Semantic Embeddings of Multimedia for Cross-media Retrieval. IEEE Access, 2018, 6: 67176-67188.

  25. Sadaqat Ur Rehman,Shanshan Tu*, Obaid Ur Rehman, Yongfeng Huang, Chathura M. Sarathchandra Magurawalage, Chin-Chen Chang. Optimization of CNN through Novel Training Strategy for Visual Classification Problems. Entropy, 2018, 20(4): 290.

  26. Obaid Ur Rehman,Shanshan Tu*, Shafiullah Khan, Hashmat Khan, Shiyou Yang. A modified quantum particle swarm optimizer applied to optimization design of electromagnetic devices. International Journal of Applied Electromagnetics and Mechanics, 2018, 58(3): 347–357.

  27. Obaid Ur Rehman,Shanshan Tu*, Sadaqat Ur Rehman, Shafiullah Khan, Shiyou Yang. Design Optimization of Electromagnetic Devices using an Improved Quantum inspired Particle Swarm Optimizer. Applied Computational Electromagnetics Society Journal, 2018, 33(9): 951-956.

  28. Xiaojing Li,Shanshan Tu*, Yi Tang, Lei Liu. Correlation analysis of East Asian summer monsoon and subsurface ocean temperature from the Pacific Ocean to the Indian Ocean in the tropics. Applied Ecology and Environmental Research, 2018, 16(1): 81-96.

  29. Xiaojing Li,Shanshan Tu*, Xianbiao Kang, Xinyi Huang. The coupling relationship between tropical upper sea temperature field and East Asian summer monsoon. Applied Ecology and Environmental Research, 2018, 16(5): 7155-7170.

  30. Obaid Ur Rehman, Sadaqat Ur Rehman,Shanshan Tu*, Shafiullah Khan, Muhammad Waqas, Shiyou Yang. A Quantum Particle Swarm Optimization Method with Fitness Selection Methodology for Electromagnetic Inverse Problems. IEEE Access, 2018, 6: 63155-63163.

  31. Shanshan Tu, Xinyi Huang, Yaqin Zhang, Mingyang An, Lei Liu, Yao Huang. HMM-based User Behavior Prediction Method in Heterogeneous Cellular Networks. International Journal of Performability Engineering, 2018, 14(9): 2163-2174.

  32. Sadaqat Ur Rehman,Shanshan Tu*, Yongfeng Huang, Guojie Liu. CSFL: A novel unsupervised convolution neural network approach for visual pattern classification. AI Communications, 2017, 30(5): 311-324.

  33. Shanshan Tu, Guojie Liu, Qiangqiang Lin, Li Lin, Zedong Sun. Security Framework based on Trusted Computing for Industrial Control Systems of CNC Machines. International Journal of Performability Engineering, 2017, 13(8): 1336-1346.

  34. Shanshan Tu, Yongfeng Huang, Chathura M. Sarathchandra Magurawalage, Lin Peng, Zhili Zhou. Access control system based cloudlet and ABE for mobile cloud computing. Journal of Internet Technology, 2016, 17(7): 1443-1451.

Personal Statement

Tu Shanshan, Associate Professor and Master Student Supervisor, is the Deputy Dean of College of Computer Science in Beijing University of Technology. He received the Ph.D. degree from Beijing University of Posts and Telecommunications, Beijing, China in 2014. From 2013 to 2014, he visited University of Essex, Colchester, U.K., for National Joint Doctoral Training. He worked with the Department of Electronic Engineering at Tsinghua University, Beijing, China, as a Postdoctoral Researcher from 2014 to 2016. His research interests are cloud computing, MEC, and information security techniques.