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

2017年7月至今, 《IEEE Transactions on Systems, Man, and Cybernetics: Systems》,AE

2014年7月至今,《The Scientific World Journal-Operationas Resarch》, AE

2013年1月至今,《中国科学-信息科学》编委

2012年7月至今,《人工智能与机器人研究》副主编

2016年9月至今,国家海洋局信息化工作专家组成员

2007年5月至今,中国大洋协会信息化领域责任专家

2013年9月至今,中国仪器仪表学会嵌入式仪表及系统技术分委员会常务理事

2015年7月至今,中国运筹学学会智能工业数据解析与优化分委员会常务理事

研究领域

1.机器学习、强化学习理论方法及其应用

2.水下机器人智能探测、识别与优化控制技术

3.深海空间信息处理技术与智能管控系统

4.生产制造复杂工艺过程的随机优化与智能调度

研究概况

[1]钢铁生产线的多工序实时智能优化调度理论、方法及应用,国家自然科学基金钢铁联合基金重点项目,U1660202, 2017.01-2020.12,负责人

[2]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

[3]轨道交通系统状态信息实时获取、监测、融合与处理技术,科技部重点研发专项课题,2016YFB1200203-05,2016.07—2020.06,负责人

[4]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

[5]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

[6]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

[7]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

[8]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


1.2016年“不连续系统的渐近行为与镇定性研究”获教育部高等学校自然类二等奖

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

3. 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

4. 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

5. 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

奖励与荣誉

2016年“不连续系统的渐近行为与镇定性研究”获教育部高等学校自然类二等奖

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

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

学术成果

在国际期刊及会议上发表论文近200篇;其中SCI收录近百篇。

代表性论文:
机器学习

[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.

基于智能学习的优化与控制
[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.

复杂生产过程调度
[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.

不确定性供需链建模、随机优化
[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.

延迟脉冲系统的镇定性
[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.

逐次逼近方法、优化性能与渐近性
[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.

模糊微分方程、模糊推理
[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.

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(约90.6万字).

[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》,本科生课程,48学时

2.《Modeling and Optimization of Complex Networked Systems》,研究生课程,48学时