宋士吉  教授

系统集成研究所

通讯地址:北京清华大学自动化系  邮政编码:100084
联系电话:010-62782721  Fax:010-62782721
邮箱:shijis@mail.tsinghua.edu.cn

教育背景

1993年3月至1996年5月 哈尔滨工业大学数学系,获博士学位

1986年9月至1989年5月 哈尔滨工业大学数学系, 获硕士学位

1982年9月至1986年7月 哈尔滨师范大学数学系,获学士学位

工作履历

2006年12月-至今 清华大学自动化系教授

2000年11月-2006年11月 清华大学自动化系副研究员

1998年10月-2000年11月 东南大学控制科学与工程,博士后

1996年7月-1998年9月 中国海洋大学海洋环境科学与工程, 博士后

1994年7月-1996年7月 哈尔滨工业大学,副教授

1990年10月-1994年6月 哈尔滨工业大学,讲师

1988年1月-1990年9月 哈尔滨工业大学,助教

学术兼职

2007年5月至今 中国大洋协会信息化领域责任专家

2013年5月至今 中国能源环保高新技术产业协会常务理事

2013年1月至今 《中国科学-信息科学》编委

2011年1月至今 《自动化学报》编委

2012年7月至今 《人工智能与机器人研究》副主编

《The Scientific World Journal-Operationas Resarch》, Associated  Editor

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

研究领域

1. 复杂系统建模、优化与控制

2. 科考船水上/下装备关键技术

3. 复杂生产制造过程的库存管理、车间/流水线调度

4. 机器学习理论、方法及其应用

5.大洋矿产资源评价技术与信息系统

研究概况

[1] 深海可控式可视采样器关键技术研究与样机研制 国家自然科学基金重大科研仪器研制项目,41427806, 2015.01—2019.12,负责人

[2] 随机多级库存成本管理的风险建模与优化方法及其应用 国家自然科学基金,61273233, 2013.01—2016.12,负责人

[3] 基于数据驱动的风力发电机状态监控与故障诊断技术研究,教育部高等学校博士点基金,20130002130010,2014.01—2016.12,负责人

[4] 无中间存储的流水线调度问题的结构性质及智能优化算法研究,教育部高等学校博士点基金,20120002110035,2013.01—2015.12,负责人

[5] 节能型直线电磁压力机关键技术研发及产业化,科技部科技支撑计划项目,2012BAF01B03,2012.01—2014.12,负责人

[6] 国际海域资源调查数据三维可视化技术及其应用验证,国家海洋局大洋专项,DY125-25-02,2011.06—2015.12,负责人

[7] 大洋综合资源调查船与载人潜水器支撑母船的信息化技术及其实现方案,国家海洋局大洋专项,DYXY-125,2011.01—2015.12,负责人

[8] 国际海底区域资源研究与开发项目预算绩效评价体系研究与管理信息系统建设,国家海洋局大洋专项,DYXY-125,2013.07—2015.12,负责人

奖励与荣誉

2007年“复杂不确定环境下的软计算技术及其应用”获教育部高等学校自然类二等奖

2006年“复杂动态系统及非线性系统的分析与鲁棒控制”获江苏省科学技术(自然类)一等奖

2006年“泛函空间中的微分包含及相关问题”获黑龙江省科学技术(自然类)二等奖

Royal Academy of Engineering, “Distinguished Visiting Fellowship” Award, 2009

学术成果

在国际期刊及会议上发表论文多篇;其中,SCI收录 70余篇。


代表论文:
[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.


译著、专著:
[1] 宋士吉,张玉利,贾庆山译,《非线性规划》(原著:《Nonlinear Programming: Third Edition》Dimitri P.Bertsekas, Athena Scientific, Belmont, Massachusetts),清华大学出版社,2013年1月(90万字).

[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.


开设课程:
1.《应用随机过程》,本科生必修课,48学时

2.《Modeling and Optimization of Complex Networked Systems》,校研究生精品课,48学时