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

Associated Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017.07-present

Associated Editor of The Scientific World Journal-Operations Research,2014.07- present

Editorial Board Member of SCIENCE CHINA: Information Sciences, 2013.01-present

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

Member of the National Marine Information Working Group; 2016.09-present

Principal Specialist in Area of China Ocean Information System Research and Construction, 2007.05-present

Executive Member of Embedded Instrument and System Technology Committee of China Instrument and Control Society, 2013.07-present

Executive Member of Intelligent Industrial Data Analytics and Optimization Committee of China Operations Research Society, 2015.01-present

 

Areas of Research Interests/ Research Projects

[1] Real time intelligent optimal scheduling theory, method and application for multi-process problems in Steel production line,Key Projects of Natural Science Foundation of China, U1660202, 2017.01-2020.12, PI

[2] 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

[3] Collecting, monitoring, integrating and processing of State information in rail transit systems, Key Projects of Ministry of Science and Technology of China, 2016YFB1200203-05, 2016.07—2020.06, PI

[4] 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

[5] 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

[6] 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

[7] 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

[8] 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

[9] 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

Research Status

1.Machine learning and reinforcement learning theory, method and its application

2.Intelligent detection, recognition and control of underwater robotics

3.Information processing technology and management systems of deep ocean space

4.Stochastic optimization and intelligent scheduling in Complex Manufacturing Process

Honors And Awards

Second Prize of Natural Science Award in Higher Institutions, Ministry of Education of China, 2016

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

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

 

Academic Achievement

TEACHING:
1.Applied Stochastic Process, Undergraduate Course, 48 periods

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

REPRESENTATIVE RESEARCH WORKS:
Machine Learning

[1]Song Shiji, Gong Yanshang, Zhang Yuli, et al. Dimension Reduction by Minimum Error Minimax Probability Machine, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017,47(1): 58-69.

[2]Li Shuang, Song Shiji, Hunag Gao, Prediction Reweighting for Domain Adaptation, IEEE Transactions On Neural Networks and Learning Systems, 2017, 28(7): 1682-1695.

[3]Qin Chen, Song Shiji, Huang Gao, Zhu Lei, Unsupervised neighborhood component analysis for clustering, Neurocomputing, 2015, 168(30): 609-617.

[4]Huang Gao, Liu Tianchi,Yang Yan,Lin Zhiping,Song Shiji, Wu Cheng, Discriminative clustering via extreme learning machine, Neural Networks, 2015, 70: 1-8.

[5]Huang Gao, Song Shiji, J. Gupta, Wu Cheng, Semi-supervised and unsupervised extreme learning machines, IEEE Transactions on Systems, Man, and Cybernetics: Cybernetics, 2014, 44(12): 2405-2417.

[6]Huang Gao, Song Shiji, Gupta Jatinder N. D., Wu Cheng, A second order cone programming approach for semi-supervised learning, Pattern Recognition, 2013, 46(12): 3548-3558.

[7]Huang Gao, Song Shiji, Wu Cheng, Orthogonal least squares algorithm for training cascade neural networks, IEEE Transactions on Circuits and Systems I, 2012, 59(12): 2629-2637.

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

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

[10]Zhang Xunan, Song Shiji, Zhu Lei, You Keyou, Wu Cheng, Unsupervised learning of Dirichlet process mixture models with missing data, Science China Information Sciences, 2016, 59(1): 1-14.

Intelligent Learning-Based Optimization and Control
[11]Lin Jinbiao, Song Shiji, You Keyou & Miroslav Krstic, Stochastic Source Seeking with Forward and Angular Velocity Regulation, Automatica, 2017, 83:378-386.

[12]Lin Jinbiao, Song Shiji, You Keyou, WuCheng,3-D Velocity regulation for nonholonomic source seeking without position measurement,IEEE Transactions on Control Systems Technology, 2016, 24(2):711-718.

[13]Ai Xiaodong, Song Shiji, You Keyou. Second-order consensus of multi-agent systems under limited interaction ranges, Automatica, 2016,68: 329-333.

[14]You Keyou, Xie Lihua, Song Shiji, Asymptotically Optimal Parameter Estimation with Scheduled Measurements, IEEE Transactions on signal processing, 2013, 61(14): 3521-3531.

[15]Lin Jinbiao, Song Shiji, You Keyou, Krstic Miroslav, Overshoot-free nonholonomic source seeking in 3-D, International Journal of Adaptive Control and Signal Processing, 2017, DOI: 10.1002/acs.2764.

Scheduling of Complex Production Processes
[16]Chang Zhiqi, Song Shiji et al., Distributionally robust single machine scheduling with risk aversion, European Journal of Operational Research, 2017, 25(1):261-274.

[17]Ding Jianya, Song Shiji, Wu Cheng, Carbon-efficient scheduling of flow shops by multi- objective optimization, European Journal of Operational Research, 2016, 248(3): 758-771.

[18]Ding Jianya, Song Shiji, Zhang Rui, Raymond Chiong, Wu Cheng, Parallel Machine Scheduling Under Time-of-Use Electricity Prices: New Models and Optimization Approaches, IEEE Transactions on Automation Science and Engineering, 2016, 13(2): 1138-1154.

[19]Ding Jianya, Song Shiji, Zhang Rui, Gupta, Wu Cheng, Accelerated methods for total tardiness minimisation in no-wait flowshops, International Journal of Production Research, 2015, 53(4): 1002-1018.

[20]Ding Jianya, Song Shiji, Gupta, Wang Cheng, Zhang Rui, Wu Cheng, New block properties for flowshop scheduling with blocking and their application in an iterated greedy algorithm, International Journal of Production Research, 2016: 54: 4759-4772.

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

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

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

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

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

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

[27]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.

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

Modeling of Supply Chain with Uncertainties, Stochastic Optimization
[29]Zhang,Yuli, Song Shiji, Shen Zuo-Jun, Wu Cheng, Robust shortest path problem with distributional uncertainty, IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS. 2017. 2709798.

[30]Zhang Yuli, Shen Zuo-jun, Song Shiji, Distributionally Robust Optimization of Two-Stage Lot-Sizing Problems, Production and Operations Management, 2016, 25(12): 2116-2131.

[31]Zhang Yuli, Shen Zuo-jun, Song Shiji, Parametric search for the bi-attribute concave shortest path problem, Transportation Research Part B-Methodological, 2016,94:150-168.

[32]Zhang Yuli, Song Shiji, Wu Cheng, Variable exponential neighborhood search for the long chain design problem, Neurocomputing, 2015, 148(1): 269-277.

[33]Liu Wei, Song Shiji, Qiao Ying, Zhao Han, The loss-averse newsvendor problem with random supply capacity, Journal of Industrial and Management Optimization, 2017,13(3):1417-1429.

[34]Liu Wei, Song Shiji, Li Bing, Wu Cheng, A periodic review inventory model with loss-averse retailer, random supply capacity and demand, International Journal of Production Research, 2015, 53(12): 3623-3634.

[35]Lin Lin, Song Shiji, Hybrid NSGA-II algorithm on robust multi-objective inventory management problem, Transactions of the Institute of Measurement and Control, 2015, 37(7): 909-918.

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

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

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

Stabilizability of Impulsive Delay Systems
[39]Li Xiaodi and Song Shiji, Stabilization of Delay Systems: Delay-Dependent Impulsive Control, IEEE Transactions On Automatic Control, 2017,62(1): 406-411.

[40]Li Xiaodi, Zhang, Xiaoli,Song Shiji, Effect of delayed impulses on input-to-state stability of nonlinear systems, Automatica, 2017,76:378-382.

[41]Li Xiaodi, Song Shiji, Wu Jianhong, Impulsive control of unstable neural networks with unbounded time-varying delays, Science China-Information Sciences, 2017,61(1), DOI:10.1007/s11432-017-9097-1.

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

[43]Li Xiaodi, Song Shiji, 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, 24(6): 868-877.

Successive Approximation,Optimization Performance and Asymptotic Behavior
[44]Zhang Heming, Liang Silue, Song Shiji, Wang Hongwei, Truncation error calculation based on Richardson extrapolation for variable-step collaborative simulation, Science China, Information Sciences, 2011, 54(6): 1238-1250.

[45]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.

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

[47]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.

[48]Song Shiji, Li Guocheng, Guan Xiaohong, A neural network model for non-smooth optimization over a compact convex subset. Lecture Notes in Computer Science, ISNN2006, 2006, 3971: 344-349.

[49]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.

[50]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.

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

[52]Song Shiji, Feng Chunbo, Lee ES. Triple I method of fuzzy reasoning. Computer and Mathematics with Applications. 2002, 44: 1567-1579.

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

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

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


BOOKS AND BOOK CHAPTERS:
[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 (About 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.