袁时金照片

袁时金 Yuan Shijin 博士,教授,博导

yuanshijin@tongji.edu.cn

主讲课程:

  • 数据库原理与应用(国家双语教学示范课程、上海市重点课程、上海高校示范性全英语教学课程)
  • 内存计算与内存数据库

研究方向:

机器学习;

大数据分析;

智慧大气与智慧海洋

智慧城市与智慧系统

 

 

主持或参与科研项目(课题)情况:

 

1. 国家自然科学基金面上项目“多模态数据驱动的海气耦合台风概率预报模型”,项目编号42075141,2021.01-2024.12,主持。
2. 上海市2020年度“科技创新行动计划”社会发展科技攻关“公共安全/突发公共安全事件应急处理处置”专题项目“基于风云卫星智能精准观测针对极端天气事件的长三角航空运行安全应对研究”的课题二“针对CNOP的高效智能算法开发与应用“,课题编号 20dz1200702, 2020-09-01至2023-08-31,主持。
3. 国家重点研发计划“全球变化及应对”专项项目“大数据与深度学习方法创新地球系统模式发展及应用研究”的课题二“复杂地球系统过程与现象的时空相关性研究”,课题编号2020YFA0608002,2020-11至2025-04,参与。
4. 2019年重点领域学科交叉重大“中央高校基本科研业务费专项资金”项目“基于深度神经网络的台风路径强度和降水精准预报研究”,项目编号22120190207,2019-08-01日至2021-07-31,参与。

5. 国家自然科学基金青年基金项目,41405097,智能算法求解CNOP性能优化及其应用,2015/01-2017/12,已结题,主持。

6、国家重点基础研究发展计划(973计划)课题,信息服务的运行支撑平台及在交通和医疗信息服务中的实证研究,2010/01-2014/12月,已结题,参与。

7. 国家高技术研究发展计划(863计划)项目,地球系统模式中的高效并行算法研究与并行耦合器研制专题,海气耦合模式CNOP的高效并行算法及其优化,2011/07-2012/12,项目编号:2010AA012304,已结题,参与。

8. 中国科学院知识创新工程重要方向项目,条件非线性最优扰动方法在黑潮路径变异可预报性研究中的应用专题,黑潮路径变异的数值模拟与分析研究,2011/01-2013/12,项目编号:KZCX2-EW-201,已结题,参与。

9. 中央高校基本科研业务费专项资金资助,高效求解GFDL CM模式CNOP系统及其在CP-El Niño事件可预报性中的初步应用,2017/08-2018/07,已结题,主持。

10. 2015年度同济大学软件工程学科专项资金资助, 多源气象大数据异构分布式存储与检索技术研究,2015/01-2015/12,已结题,主持。

11. 2014年度同济大学软件工程学科建设专项资金资助,海气大数据高效存取与计算关键技术研究及平台实现,2014/01-2014/12,已结题,主持。

12. 江苏省信息化建设重点示范工程项目,太仓市智慧城市大数据智能分析系统研发,2015/01-2016/12,已结题,主持。

13. 江苏省信息化建设重点示范工程项目,太仓市智慧城市IOC-KPI系统研发,2014/01-2015/12,已结题,主持。

 

学术论文:

期刊论文:

 

(1) Bin Mu#, Jing Li, Shijin Yuan*, Xiaodan Luo, Prediction of North Atlantic Oscillation Index Associated with the Sea Level Pressure Using DWT-LSTM and DWT-ConvLSTM Networks, Mathematical Problems in Engineering, 2020.10.05/Volume 2020.
(2) Bin Mu#, Jing Li, Shijin Yuan*, Xiaodan Luo, Guokun Dai, CNOP-P-Based Parameter Sensitivity Analysis for North Atlantic Oscillation in Community Earth System Model Using Intelligence Algorithms, Advances in Meteorology, 2020.10.15/Volume 2020.
(3) Bin Mu#, Bo Qin, Shijin Yuan*, Xiaoyun Qin, A Climate Downscaling Deep Learning Model considering the Multiscale Spatial Correlations and Chaos of Meteorological Events, Mathematical Problems in Engineering, 2020.11.17/Volume 2020.

(4) 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.

(5) 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.

(6) 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.

(7) 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.

(8) 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.

(9) 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.

(10) 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.

(11)  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)

(12) 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.

(13) 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.

(14) 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.

(15) 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.

(16) Yuan Shijin#*, Wen Shicheng, Li Hongyu, Zhang Xinfeng, Liu Qin, An optimization framework for adjoint-based climate simulations: A case study of the Zebiak-Cane model, International Journal of High Performance Computing Applications, 2014.5, 28(2): 174~182.

 

会议论文:

(1) Bin Mu#, Bo Qin, Shijin Yuan*, Multi-Scale Downscaling with Bayesian Convolution Network for ENSO SST Pattern, 2020 5th International Conference on Electromechanical Control Technology and Transportation (ICECTT), May. 15-17, 2020, Nanchang, online, China, pp. 359-362. 

(2) Shijin Yuan#, Bo Shi, Bin Mu*, Data Assimilation by Artificial Neural Network using Conventional Observation for WRF Model, 2020 5th International Conference on Machine Learning Technologies, June 19-21, 2020, Beijing, online, China, pp. 62-67. 

(3) Bin Mu#, Shaoyang Ma, Shijin Yuan*,Hui Xu, Applying Convolutional LSTM Network to Predict El Nino Events: Transfer Learning from the Data of Dynamical Model and Observation, 2020 10th IEEE International Conference on Electronics Information and Emergency Communication (ICEIEC 2020), July 17-19, 2020, Beijing, online, China, pp. 215-219.

(4) Shijin Yuan#,Cheng Wang,Luoxiao Dan, Efficient Executions of Community Earth System Model onto Accelerators Using GPUs, 2020 3rd International Conference on Pattern Recognition and Artificial Intelligence (
PRAI 2020), Aug. 28-30, 2020, Chengdu, online, China.

(5) 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), Zhangjiajie, China, 2019, pp. 1171-1177. 中国张家界

(6) 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. 匈牙利布达佩斯

(7) 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. 匈牙利布达佩斯

(8) 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, Guangzhou, China, November, 2017. 中国广州

(9) 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),Anchorage, Alaska, USA,2017.5.14-2017.5.19. 美国阿拉斯加

(10) 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, Sydney, Australia, 2016.12.12-2016.12.14. 澳大利亚悉尼

(11) 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, Sydney, Australia, 2016.12.12-2016.12.14. 澳大利亚悉尼

(12) 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, Zhangjiajie, China, 2015.11.18-2015.11.20. 中国张家界

(13) 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), Istanbul, TURKEY, 2015.11.9-2015.11.12. 土耳其伊斯坦布尔

(14) 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), Istanbul, Turkey, 2015.11.9-2015.11.12. 土耳其伊斯坦布尔

(15) 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, New York, USA , 2015.8.24-2015.8.26. 美国纽约

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

(17) 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),Killarney, Ireland,2015.7.12-2015.7.17. 爱尔兰基拉尼

(18) 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,Sendai, Japan,2015.5.25-2015.5.28. 日本仙台

(19) 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),Dalian, China,2014.8.24-2014.8.27. 中国大连

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

(21) Hongyu Li#,Jie Bian,Shijin Yuan*,Parallel Optimization of the MM5 Adjoint Model, 15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013,Zhangjiajie, China,2013.11.13-2013.11.15. 中国张家界

(22) Li, Hongyu#,Zhou, Weiyu,Yuan, Shijin*,Wen, Shicheng, ACStack: Adaptive composite stack for adjoint models in code optimization, 15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013,Zhangjiajie, China,2013.11.13-2013.11.15. 中国张家界

(23) Li, Hongyu#,Qin, Jiachuan,Yuan, Shijin*,Bian, Jie, Code parallel refactoring of the Zebiak-Cane model based on JASMIN, 2013 3rd International Conference on Computer Science and Network Technology, ICCSNT 2013,Dalian, China,2013.10.12-2013.10.13. 中国大连

 

  


     

     

     

     
 

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