Shiji Song, Ph.D.

Professo Supervisor for Ph.D. candidate

Institute of System Integration

Department of Automation, Tsinghua University

Beijing 100084, China

Tel: +86 (10) 6278 2721

Fax: +86 (10) 6278 2721

Email: shijis@mail.tsinghua.edu.cn   

Education background

Ph. D. in Foundation Mathematics, Harbin Institute Of Technology, China, 1996

MS in Foundation Mathematics, Harbin Institute Of Technology, China, 1989

BS in Mathematics, Harbin Institute Of Technology, China, 1986   

Experience

Professor, Supervisor for Ph.D., Department of Automation, Tsinghua University, 2006.12-present

Associate Research Fellow, Department of Automation, Tsinghua University, 2000.11-2006.11

Postdoctoral, Control Science and Engineering, Southeast University, 1998.10-2000.11

Postdoctoral, Marine Environmental Science and Engineering, Ocean University of China, 1996.7-1998.9

Associate Professor, Harbin Institute Of Technology, 1994.7-1996.7

Lecturer, Harbin Institute Of Technology, 1990.10-1994.6

Assistant Professor, Harbin Institute Of Technology, 1988.1-1990.9   

Concurrent Academic

Principal Specialist in Informatization Area of China Ocean Mineral Resources R & D Association, 2007.5-present

Executive Director of China Energy Environmental Protection High-tech Industry Association, 2013.5-present

Editorial Board Member of SCIENCE CHINA: Information Sciences, 2013.1-present

Editorial Board Member of ACTA AUTOMATICA SINICA, 2011.1-present

Associated Editor of Artificial Intelligence and Robotics Research, 2012.7-present

Associated Editor of The Scientific World Journal-Operationas Resarch

Associated Editor of Dynamics of Continuous, Discrete and Impulsive Systems, series A   

Areas of Research Interests/ Research Projects

[1] Research and development of key technologies and a prototype for Deepsea Controllable Visual Sampler, Major Scientific Instrument Development Project of Natural Science Foundation of China, 41427806, 2015.01—2019.12, PI

[2] Risk Modeling and Optimization Methods of Stochastic Multy-echelon Inventory Cost Management,and Their Applications, Natural Science Foundation of China, 61273233, 2013.01—2016.12, PI

[3] Based on data-driven wind turbines condition monitoring and fault diagnosis technology research, Research Foundation for the Doctoral Program of Higher Education, 20130002130010, 2014.01—2016.12, PI

[4] Structural Properties and Their Hybrid Intelligent Optimization Algorithms of Flow Shop Scheduling Problems with No Intermediate Storage, Research Foundation for the Doctoral Program of Higher Education, 20120002110035, 2013.01—2015.12, PI

[5] Energy-efficient linear electromagnetic press key technology R & D and industrialization, National Key Technology Support Program of China, 2012BAF01B03, 2012.01—2014.12, PI

[6] Three-dimensional visualization technology resources in international waters and its application to verify survey data, Ocean Specific Projects of State Oceanic Administration, DY125-25-02, 2011.06—2015.12, PI

[7] Information Technology and Implementation of Ocean Comprehensive Resource Survey Ship and Ocean Manned Submersible Support Mothership, Ocean Specific Projects of State Oceanic Administration, DYXY-125, 2011.01—2015.12, PI

[8] Budget Performance Evaluation System and Management Information System for the International Seabed area Resources Research and Development Projects, Ocean Specific Projects of State Oceanic Administration, DYXY-125, 2013.07—2015.12, PI

Research Status

1. Modeling, Optimization and Control of Complex System

2. Key Technology for on-board/underwater Equipment of Research Ship

3. Inventory Management and Optimized Scheduling of Job-shop/Flow-shop Problem in Complex Manufacturing Process

4. Machine learning theory, method and its application

5. Evaluation technique and information systems of ocean mineral resources   

Honors And Awards

Second Prize of Natural Science Award in  Higher Institutions, Ministry of Education of China, 2007

First Prize of Natural Science Award for Science and Technology, Jiangsu Province, 2006

Second Prize of Natural Science Award for Science and Technology, Heilongjiang Province, 2006

Distinguished Visiting Fellowship Award, the Royal Academy of Engineering, 2009   

Academic Achievement

TEACHING:

1. Applied Stochastic Process, Undergraduate Course, 48 periods

2. Modeling and Optimization of Complex Networked Systems, Graduate Elaborate Course, 48 periods

SELECTED RECENT PUBLICATIONS:

[1] Xiaodi Li, Shiji Song, Research on synchronization of chaotic delayed neural networks with stochastic perturbation using impulsive control method, Communications in Nonlinear Science and Numerical Simulation, 2014, Vol. 19(10):3892-3900.

[2] Wei Liu, Shiji Song and Cheng Wu, The loss-averse newsvendor problem with random yield, Transactions of the Institute of Measurement and Control, 2014, Vol. 36(3):  312-320.

[3] Gao Huang, Shiji Song and Cheng Wu, A second order cone programming approach for semi-supervised learning, Pattern Recognition, 2013, Vol. 46(12):3548-3558.

[4] Keyou You , Lihua Xie, Shiji Song, Asymptotically Optimal Parameter Estimation With Scheduled Measurements,IEEE Transactions on Signal Processing, 2013, Vol.61(14): 3521-3531.

[5] Xiaodi Li, Shiji Song, Impulsive Control for Existence, Uniqueness, and Global Stability of Periodic Solutions of Recurrent Neural Networks With Discrete and Continuously Distributed Delays, IEEE Transactions on Neural Networks and Learning Systems, 2013, Vol.24(6): 868-877.

[6] Gengcheng Liu,Shiji Song,Cheng Wu, Some heuristics for no-wait flowshops with total tardiness criterion, Computers & Operations Research, 2013, Vol.40(2): 521-529.

[7] Zhou Quan, Song Shiji, Wu Cheng , Huang Gao, Kernelized LARS-LASSO for constructing radial basis function neural networks,Neural Computing & Applications, 2013,Vol. 23(7-8): 1969-1976.

[8] Rui Zhang, Shiji Song, Cheng Wu, A simulation-based differential evolution algorithm for stochastic parallel machine scheduling with operational considerations,International Transactions in Operational Research, 2013, Vol.20(4): 533-557.

[9] Bing Li, Shiji Song, Kang Li,  A fast iterative single data approach to training unconstrained least squares support vector machines, Neurocomputing, 2013, Vol.115(1):31-38.

[10] Wei Liu, Shiji Song, Cheng Wu, Impact of loss aversion on the newsvendor game with product substitution, International Journal of Production Economics, 2013, Vol.141(1): 352-359.

[11] Rui Zhang, Shiji Song, Cheng Wu, A hybrid artificial bee colony algorithm for the job shop scheduling problem, International Journal of Production Economics,2013, Vol.141(1):167-178.

[12] Qing Yang, Shiji Song, Cheng Wu, Inventory policies for a partially observed supply capacity model,Journal of Industrial and Management Optimization, 2013, Vol.9(1):13-30.

[13] Xunan Zhang, Shiji Song and Cheng Wu, Robust Bayesian Classification with Incomplete Data, Cognitive Computation, 2013, Vol.5(2): 170-187.

[14] Xunan Zhang, Shiji Song and Cheng Wu, Robust LS-SVM regression for ore grade estimation in a seafloor hydrothermal sulphide deposit,ACTA Oceanologica Sinica, 2013, Vol.32(8):16-25.

[15] Rui Zhang, Shiji Song, Cheng Wu, A dispatching rule-based hybrid genetic algorithm focusing on non-delay schedules for the job shop scheduling problem,International Journal of Advanced Manufacturing Technology, 2013, Vol.67(1-4): 5-17.

[16] Rui Zhang, Shiji Song, Cheng Wu, A hybrid differential evolution algorithm for job shop scheduling problems with expected total tardiness criterion,Applied Soft Computing, 2013, Vol.13(3):1448-1458.

[17] Kang Li, Shiji Song, Shiwei Ma, Intelligent Computing in Measurement, Modeling and Control Applications, Transactions of The Institute of Measurement and Control, 2013, Vol. 35(1): 3-4.

[18] Li Bing, Song Shiji, Li Kang, Improved conjugate gradient implementation for least squares support vector machines, Pattern Recognition Letters, 2012, Vol.33(2):121-125.

[19] Gao Huang, Shiji Song, Cheng Wu and Keyou You, Robust support vector regression for uncertain input and output data, IEEE Transactions on Neural Networks and Learning Systems, 2012, Vol. 23(11): 1690-1700.

[20] Gao Huang, Shiji Song and Cheng Wu, Orthogonal least squares algorithm for training cascade neural networks , IEEE Transactions on Circuits And Systems I: Regular Papers, 2012, Vol.59(11): 2629-2637.

[21] Rui Zhang, Shiji Song, Cheng Wu, A two-stage hybrid particle swarm optimization algorithm for the stochastic job shop scheduling problem, Knowledge-Based Systems, 2012, Vol.27:393-406.

[22] Cheng Wang, Shiji Song, Cheng Wu, A three-phase algorithm for flowshop scheduling problem with blocking to minimize makespan, Computers & Operations Research, 2012, Vol.39(11):2880-2887.

[23] Yuli Zhang, Shiji Song, Cheng Wu and Wenjun Yin, Dynamic Programming and Heuristic for Stochastic Uncapacitated Lot-Sizing Problems with Incremental Quantity Discount. Mathematical Problems in Engineering. 2012. DOI: 10.1155/2012/582323.

[24] Yuli Zhang, Shiji Song, Cheng Wu, Heming Zhang and Wenjun Yin, A hybrid genetic algorithm for two-stage multi-item inventory system with stochastic demand. Neural Computing & Applications, 2012, Vol.21(6):1087-1098.

[25] Wei Liu, Shiji Song and Cheng Wu, Single-period inventory model with discrete stochastic demand based on prospect theory. Journal of Industrial and Management Optimization, 2012, Vol.8(3): 577-590.

[26] Yuli Zhang, Shiji Song, Cheng Wu, Wenjun Yin, A Hybrid Genetic Algorithm for Two-stage Multi-item Inventory System with Stochastic Demand, Neural Computing and Applications, 2011, DOI 10.1007/s00521-011-0658-7.

[27] Heming Zhang, Silv Liang, Shiji Song, Truncation Error Calculation based on Richardson Extrapolation for Variable-Step Collaborative Simulation, Science China, Information Sciences. 2011, Vol.54(6): 1238-1250.

[28] Feng Jin, J Gupta, Shiji Song, Cheng Wu, Single machine scheduling with sequence-dependent family setups to minimize maximum lateness. Journal of The Operational Research Society,  2010, Vol.61(7): 1181-1189.

[29] Guocheng Li, Shiji Song, Cheng Wu. Generalized gradient projection neural networks for nonsmooth optimization problems. Science China, Information Sciences, 2010, Vol.53(5): 990-1005.

[30] Feng Jin, Shiji Song, Cheng Wu, Dominance property based tabu search for single machine scheduling problems with family setups. Journal of System Engineering and Electronics, 2009, Vol.20(6): 1233-1238.

[31] Feng Jin, Shiji Song, Cheng Wu, A simulated annealing algorithm for single machine scheduling problems with family setups. Computers & Operations Research, 2009, 36: 2133- 2138.

[32] Pengcheng Ji, Shiji Song, Cheng Wu, Infinitesimal Dividing Modeling Method for Dual Suppliers Inventory Model with Random Lead Times. Journal of System Engineering and Electronics,2009, Vol.20(3): 527-536.

[33]  Jin Feng, Gupta JND, Song Shiji, Wu Cheng, Makespan distribution of permutation flowshop schedules. Journal of Scheduling, 2008,11: 421-432.

[34]  Jin Feng, Song Shiji, Wu Cheng,A simulated annealing based beam search algorithm for the flow-shop scheduling problem. International Journal of Pattern Recognition and Artificial Intelligence, 2008, 22: 65-75.

[35]  Zou Hongxing, Song Shiji, Liu Zhixin, Chen Yongqiang and Li Yanda, Acceleration- based Dopplerlet transform - Part I: Theory. Signal Processing, 2008, 88: 931-945.

[36] Jin Feng, Song Shiji, Wu Cheng, An improvement of NEH algorithm with application in large scale FSP. IIE Transactions, 2007, 39: 229-234.

[37] Li Guocheng, Song Shiji, Zhang Bo, Controllability of nonlinear integrodifferential systems in Banach space with nonlocal conditions. Dynamic Systems and Applications, 2007, 16: 729-741.

[38] Li Guocheng, Song Shiji, Wu Cheng, Subgradient-based feedback neural networks for solving non-differentiable convex optimization problems. Science in China, Series F, 2006, 49: 421-435.

[39] Song Shiji, Wu Cheng, Xue XP, Existence and uniqueness of Cauchv problem for fuzzy differential equations under dissipative conditions. Computer And Mathematics with Applications, 2006, 51: 1483-1492.

[40]  Song Shiji, Wu Cheng, Lee ES. Asymptotic equilibrium and stability of fuzzy differential equations. Computer and Mathematics with Applications, 2005, 49: 1267-1277.

[41] Mo Yaru, Xue Xiaoping, Song Shiji. On stability of delayed cellular neural networks with sigmoid output functions. Science in China, Series F, 2003, 46: 371-380.

[42]  Song Shiji, Wu Cheng. Reverse triple I method of fuzzy reasoning. Science in China, Series F, 2002, 45: 344-364.

[43] Song Shiji, Guo Lei, Feng Chunbo. Global Existence of Solutions to Fuzzy Differential Equations. Fuzzy Sets and Systems, 2000, 115: 371-376.

[44] Song Shiji, Wu Congxin. Existence and Uniqueness of Solutions to Cauchy Problem of Fuzzy Differential Equations. Fuzzy Sets and Systems, 2000, 110: 55-67.

[45] Song Shiji, Liu Qinyu, Xu Qichun. Existence and comparison theorem to volterra fuzzy integral equations in (En, D). Fuzzy Sets and Systems, 1999, 104: 315-321.

[46] Song Shiji, Liu Qinyu. On disturbance evolution and nonlinear stability of the multilayer quasi-geostrophic basic flows. Science in China, Series D, 1999, 42: 160-171.

[47] Song Shiji, Liu Qinyu. Disturbance evolution and the nonlinear stability to the basic flows for two-dimensional quasi-geostrophic motion. Chinese Science Bulletin, 1999, 44: 1179-1184.

[48] Song Shiji, Liu Qinyu, Qu Qichun. Existence and comparison theorems to Volterra fuzzy integral equation in (E^n, D). Fuzzy Sets and Systems, 1999, 104: 315-321.

[49] Wu Congxin, Song Shiji. Existence Theorem to the Cauchy Pproblem of Fuzzy Differential Equations under Compactness-type Conditions. Information Sciences, 1998, 108: 123-134.

PUBLICATIONS:

[1] Song Shiji, Zhang Yuli, Jia Qingshan, Nonlinear Programming ( original work: Nonlinear Programming: Third Edition, Dimitri P. Bertsekas, Athena Scientific, Belmont, Massachusetts), Tsinghua University Press, 2013 ( 906, 000 words).

[2] Jin Feng, Song Shiji, Wu Cheng, Structural Property and Meta-heuristic for the Flow Shop Scheduling Problem. In Computational Intelligence in Flow Shop and Scheduling, Springer-Verlag, Berlin Heidelberg. Editor Uday K. Chakraborty, 2009, pp.1-20.