GAO Shangce



Associate Professor

Research Fields, Keywords

Artificial Intelligence, Computational Intelligence, Evolutionary Computation, Neural Networks, Deep Learning


Shangce Gao (Senior Member, IEEE) received his B.S. degree from Southeast University, Nanjing, China in 2005, and M.E. and D.E. degrees from University of Toyama, Toyama, Japan in 2008 and 2011, respectively.
He is currently an Associate Professor with the Faculty of Engineering, University of Toyama, Japan. He worked with Tongji University, from 2011 to 2012, and Donghua University from 2012 to 2014, as an Associate Professor. His current research interests include nature-inspired technologies, mobile computing, machine learning, and neural networks for real-world applications. His research has led to over 150 publications in top venues such as IEEE TEVC, IEEE TNNLS, IEEE CYB, IEEE TSMCS, IEEE TITS, etc.
He was a recipient of a Best Paper Award at IEEE International Conference on Progress in Informatics and Computing, the Shanghai Rising-Star Scientist award, the Chen-Guang Scholar of Shanghai award, the Outstanding Academic Performance Award of IEICE, and the Outstanding Academic Achievement Award of IPSJ.
He serves as an Associate Editor for many international journals such as IEEE Transactions on Neural Networks and Learning Systems, and IEEE/CAA Journal of Automatica Sinica. He also serves as a Secretary for Hokuriku Section of IEICE, and has served on the program committees for several international professional conferences, including AAAI, NeurIPS, CVPR, and IEEE CEC.

Degree 【 display / non-display

  • 2011.03 -  Doctor (Engineering)  University of Toyama

Campus Career 【 display / non-display

  • 2019.10

    University of ToyamaAcademic Assembly   Faculty of Engineering   Associate Professor  

  • 2019.10

    University of ToyamaFaculty of Engineering   Department of Engineering   Associate Professor  

  • 2018.04

    University of ToyamaFaculty of Engineering   Department of Engineering   Associate Professor  

  • 2014.04

    University of ToyamaGraduate School of Science and Engineering for Research   Life, Information and System Sciences   Human and Life Information Systems   Associate Professor  

  • 2014.04

    University of ToyamaFaculty of Engineering   Department of Intellectual Information Engineering   Associate Professor  

Field of expertise (Grants-in-aid for Scientific Research classification) 【 display / non-display

  • Soft computing

  • Information Processing, Computational Intelligence


Papers 【 display / non-display

  • Dendritic neuron model with effective learning algorithms for classification, approximation, and prediction

    Shangce Gao, Mengchu Zhou, Yirui Wang, Jiujun Cheng, Hanaki Yachi, and Jiahai Wang

    IEEE Transactions on Neural Networks and Learning Systems     2019

    Joint Work

  • Chaotic Local Search-Based Differential Evolution Algorithms for Optimization

    Gao, S. and Yu, Y. and Wang, Y. and Wang, J. and Cheng, J. and Zhou, M.

    IEEE Transactions on Systems, Man, and Cybernetics: Systems   51 ( 6 ) 3954 - 3967   2021

    Joint Work

  • Incorporation of Solvent Effect into Multi-objective Evolutionary Algorithm for Improved Protein Structure Prediction

    Shangce Gao, Shuangbao Song, Jiujun Cheng, Yuki Todo, and MengChu Zhou

    IEEE/ACM Transactions on Computational Biology and Bioinformatics     2018

    Joint Work

  • Routing in Internet of Vehicles: A Review

    Jiujun Cheng, Junlu Cheng, Mengchu Zhou, Fuqiang Liu, Shangce Gao, Cong Liu

    IEEE Transactions on Intelligent Transportation Systems     2015

    Joint Work

  • A Fluid Mechanics-based Data Flow Model to Estimate VANET Capacity

    Jiujun Cheng, Guiyuan Yuan, MengChu Zhou, Shangce Gao , Cong Liu, and Hua Duan

    IEEE Transactions on Intelligent Transportation Systems     2019

    Joint Work

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Books 【 display / non-display

  • Bio-Inspired Computational Intelligence and Their Applications

    Shangce Gao (Part: Editor )

    INTECH press, New York, USA  2012.03

  • Artificial Clonal Selection Model and Its Application

    Shangce Gao, Zheng Tang, Hiroki Tamura (Part: Joint Work )

    IGI Global Press, USA  2010.03

Grant-in-Aid for Scientific Research 【 display / non-display

  • Grant-in-Aid for Young Scientists(B)

    Project Year: 2017.04  -  2019.03