Bin Mu:

Professor, Doctoral Supervisor, Vice-President at School of Software Engineering

E-mail

binmu@tongji.edu.cn

Teaching:

• Database principles and application (national model bilingual curriculum, Shanghai Municipal key curriculum, Shanghai Municipal model English teaching curriculum)

Research:

• Big data Analytics

• Machine learning

• Smart atmosphere and smart ocean

• Smart city and smart system

Latest Research Projects:

1. Fundamental research projects of central universities for interdisciplinary research, “Research on the Prediction of Typhoon Path Intensity and Precipitation Based on Deep Neural Networks”, (Head).

2. National Natural Science Foundation of China “The Optimization on the Performance of Solving CNOP using Intelligent Algorithm and Its Application”; (Second chair).

3. National Science & Technology Pillar Program second-level task " Development of Integrated Testing and Simulation Management System for a Semi-Physical Motion High-Speed Maglev Simulation Platform. (Head)

4. National Science & Technology Pillar Program second-level task “Optimization of Comprehensive Simulation System for High-Speed Maglev Transportation Planning and Design” (Second chair).

5. National Fundamental Research Program of China (973 Program) task "The Construction of an operating support platform for information services and empirical study in traffic and medical information services" (Second chair).

6. Key demonstration project for informatization construction of Jiangsu Provinces “Research and Development of Taicang Smart City Big Data Intelligent Analysis System”, (Second chair).

7. Key demonstration project for informatization construction of Jiangsu Province “The Development of Taicang Smart City IOC-KPI System”, (Second chair).

Publications:

Journal papers:

1. Bin MU# , Juhui REN , Shijin YUAN* , Rong-Hua ZHANG, Lei CHEN , and Chuan GAO, The Optimal Precursors for ENSO Events Depicted Using the Gradientdefinition-based Method in an Intermediate Coupled Model, ADVANCES IN ATMOSPHERIC SCIENCES, VOL. 36, DECEMBER 2019, 1–12.

2. Shijin Yuan#, Xiaodan Luo, Bin Mu*, Jing Li, Guokun Dai, Prediction of North Atlantic Oscillation Index with Convolutional LSTM Based on Ensemble Empirical Mode Decomposition, Atmosphere 2019, 10(5), 252.

3. YUAN Shijin#, ZHANG Huazhen, LI Mi, MU Bin*, CNOP-P-based parameter sensitivity for double-gyre variation in ROMS with simulated annealing algorithm. Journal of Oceanology and Limnology, 2019, 37 (3):  957-967.

4. YUAN Shijin#, LI Mi, WANG Qiang, ZHANG Kun, ZHANG Huazhen, MU Bin*, Optimal precursors of double-gyre regime transitions with an adjoint-free method. Journal of Oceanology and Limnology, 2019, 37 (4):  1137-1153.

5. Zhang Linlin#, Mu Bin, Yuan Shijin*, et al. A novel approach for solving CNOPs and its application in identifying sensitive regions of tropical cyclone adaptive observations. Nonlinear Processes in Geophysics, 2018, 25(3): 693-712.

6. Mu Bin#, Zhang Linlin, Yuan Shijin*, et al. Intelligent Algorithms for Solving CNOP and Their Applications in ENSO Predictability and Tropical Cyclone Adaptive Observations. Journal of Tropical Meteorology, 2018, 25(1): 63-81.

7. Zhang Linlin#, Yuan Shijin*, Mu Bin, et al. CNOP-based sensitive areas identification for tropical cyclone adaptive observations with PCAGA method. Asia-Pacific Journal of Atmospheric Sciences, 2017, 53(1):63-73.

8. Zhang Linlin#, Mu Bin, Yuan Shijin*. A Modified Direct Search Algorithm based on Kernel Density Estimator with Three Mapping Strategies for Solving Nonlinear Optimization.  Journal of Computers. (2018，EI）

9. Mu Bin#, Ren Juhui, Yuan Shijin*, Zhou feifan. Identifying Typhoon Targeted Observations Sensitive Areas Using the Gradient Definition Based Method, Asia-Pacific Journal of Atmospheric Sciences, 2018: 1-13.

10. Mu Bin#, Ren Juhui, Yuan Shijin*. An efficient approach based on the gradient definition for solving conditional nonlinear optimal perturbation, Mathematical Problems in Engineering, 2017.

11. Mu Bin#, Wen Shicheng, Yuan Shijin*, Li Hongyu. PPSO: PCA based particle swarm optimization for solving conditional nonlinear optimal perturbation. Computers & geosciences, 83 (2015): 65-71.

12. Wen Shicheng#, Yuan Shijin*, Li Hongyu, Mu Bin, Robust ensemble feature extraction for solving conditional nonlinear optimal perturbation, In ternational Journal of Computational Science and Engineering, 2015.01.01, 11(4): 349~359.

Conference papers:

1. B. Mu#, J. Li, S. Yuan*, X. Luo and G. Dai, "Parallel PCA-Based Bacterial Foraging Optimization Algorithm for Identifying Optimal Precursors of North Atlantic Oscillation," 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2019, pp. 1171-1177. CCF-C. Zhangjiajie, China

2. Mu, B.#, Peng, C., Yuan, S.*, & Chen, L. (2019, July). ENSO Forecasting over Multiple Time Horizons Using ConvLSTM Network and Rolling Mechanism. In 2019 International Joint Conference on Neural Networks (IJCNN) ,IEEE. CCF-C. Budapest, Hungary.

3. Mu, B.#, Li, J., Yuan, S.*, Luo, X., & Dai, G. (2019, July). NAO Index Prediction using LSTM and ConvLSTM Networks Coupled with Discrete Wavelet Transform. In 2019 International Joint Conference on Neural Networks (IJCNN) , IEEE. CCF-C. Budapest, Hungary.

4. Shijin Yuan#, Yunyi Chen, Bin Mu*, CACO-LD: Parallel Continuous Ant Colony Optimization with Linear Decrease Strategy for Solving CNOP, 24nd International Conference on Neural Information Processing, ICONIP 2017, November, 2017. CCF-C. Guangzhou, China.

5. Bin Mu#*, Site Li, Shijin Yuan, An improved effective approach for urban air quality forecast ,2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2017.7.29-2017.7.31. Guilin, China.

6. Bin Mu#, Junhui Zhao, Shijin Yuan*, Jinghao Yan, Parallel Dynamic Search Fireworks Algorithm with Linearly Decreased Dimension Number Strategy for Solving Conditional Nonlinear Optimal Perturbation, 2017 International Joint Conference on Neural Networks (IJCNN), 2017.5.14-2017.5.19. CCF-C. Alaska, USA.

7. Yuan Shijin#*, Mi Li, Bin Mu, Jingpeng Wang, PCAFP for Solving CNOP in Double-Gyre Variation and its Parallelization on Clusters, 2016 IEEE 18th International Conference on High-Performance Computing and Communications, 2016.12.12-2016.12.14. CCF-C. Sydney Australia.

8. Ren Juhui#, Yuan Shijin*, Mu Bin, Parallel modified artificial bee colony algorithm for solving conditional nonlinear optimal perturbation, 2016 IEEE 18th International Conference on High-Performance Computing and Communications, 2016.12.12-2016.12.14. CCF-C. Sydney Australia.

9. Yuan Shijin#*, Qian Yiwen, Mu Bin, Paralleled continuous tabu search algorithm with sine maps and staged strategy for solving CNOP, 15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015, 2015.11.18-2015.11.20. CCF-C. Zhangjiajie, China.

10. Yuan Shijin#*, Ji Feng, Yan Jinghao, Mu Bin, A Parallel Sensitive Area Selection-Based Particle Swarm Optimization Algorithm for Fast Solving CNOP, 22nd International Conference on Neural Information Processing (ICONIP), 2015.11.9-2015.11.12. CCF-C. Istanbul, Turkey.

11. Yuan Shijin#*, Zhao Li, Mu Bin, Parallel Cooperative Co-evolution Based Particle Swarm Optimization Algorithm for Solving Conditional Nonlinear Optimal Perturbation, 22nd International Conference on Neural Information Processing (ICONIP), 2015.11.9-2015.11.12. CCF-C. Istanbul, Turkey.

12. Yuan Shijin#*, Yan Jinghao, Mu Bin, Li Hongyu, Parallel dynamic step size sphere-gap transferring algorithm for solving conditional nonlinear optimal perturbation, 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015, 2015.8.24-2015.8.26. CCF-C. New York, USA.

13. Wen, Shicheng#, Yuan, Shijin*, Mu, Bin, Li, Hongyu, Robust PCA-based genetic algorithm for solving CNOP, 11th International Conference on Intelligent Computing, ICIC 2015, 2015.8.20-2015.8.23. Fuzhou, China.

14. Bin Mu#, Linlin Zhang, Shijin Yuan*, Hongyu Li, PCAGA: Principal Component Analysis Based Genetic Algorithm for Solving Conditional Nonlinear Optimal Perturbation, 2015 International Joint Conference on Neural Networks (IJCNN), 2015.7.12-2015.7.17. CCF-C. Killarney, Ireland.

15. Fuxin Chen#, Shijin Yuan*, Bin Mu, User-QoS-based Web Service Clustering for QoS Prediction, ICWS 2015: the 22nd IEEE International Conference on Web Services, 2015.6.27-2015.7.2. CCF-B. New York, USA.

16. Wen, Shicheng#, Yuan, Shijin*, Mu, Bin, Li, Hongyu, Ren, Juhui, PCGD: Principal components-based great deluge method for solving CNOP, IEEE Congress on Evolutionary Computation, CEC 2015, 2015.5.25-2015.5.28. CCF-C. Sendai, Japan.

17. Bin Mu, Su Li, Shijin Yuan, QoS-Aware Cloud Service Selection Based on Uncertain User Preference, RSKT 2014: the 9th International Conference on Rough Sets and Knowledge Technology, Lecture Notes in Artificial Intelligence, RSKT2014: pp.589-600, 2014.10.24-2014.10.26. Shanghai, China.

18. Wen, Shicheng#, Yuan, Shijin*, Mu, Bin, Li, Hongyu, Chen, Lei, SAEP: Simulated Annealing Based Ensemble Projecting Method for Solving Conditional Nonlinear Optimal Perturbation, 14th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), 2014.8.24-2014.8.27. CCF-C. Dalian,China.

19. Mu, Bin#, Wen, Shicheng, Yuan, Shijin*, Li, Hongyu. Orthogonal Neighborhood Preservation Projection Based Method for Solving CNOP, 10th International Conference on Intelligent Computing (ICIC), 2014.8.3-2014.8.6. Taiyuan, China.

Others

• Senior visiting scholar at University of New Brunswick, Canada