师资队伍
教师队伍
宋士吉

教授

工业智能与系统研究所 所长

电话: 010-62782721 Fax:010-62782721
地点:清华大学中央主楼612室


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


中国指挥与控制学会无人系统专业委员会副主任委员

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

中国海洋学会理事、深海技术分委员会副理事长

中国大洋协会大洋信息系统领域责任专家

清华大学海洋工程研究院副院长

IEEE Transactions on Systems, Man, and Cybernetics: Systems,AE

Artificial Intelligence and Robotics Research,副主编

曾任《中国科学-信息科学》编委、《自动化学报》编委


研究领域


1. 复杂生产制造过程优化调度

2. 供需链库存管理及协同配送技术

3. 机器学习、强化学习理论方法与应用

4. 水下机器人关键技术


研究概况


1. 复杂制造环境下的协同控制与决策理论方法,科技部“科技创新2030-新一代人工智能”基础前沿重大项目,2019年12月至2022年12月

2. 基于多专业协同的高铁运行智能优化调度理论与在线策略调整学习方法,国家自然科学基金钢铁联合基金重点项目,2020年01月至2024年12月

3. 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重点项目,2017年01月至2020年12月

4. 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,2015年01月至2019年12月

5. 国际海域资源调查数据三维可视化技术及其应用示范,自然资源部中国大洋协会项目,2011年06月至2015年09月

6. 大洋信息系统研究与建设,自然资源部中国大洋协会项目,2007年12月至2010年12月

7. 大洋综合资源调查船和载人潜水器支持母船立项论证研究,自然资源部中国大洋协会项目,2011年05月至2012年06月


奖励与荣誉



1. 分布式协同控制及优化理论方法,2021年中国自动化学会自然科学一等奖

2. 复杂环境下非线性脉冲系统的稳定性与控制,山东省自然科学二等奖

3. 不确定非线性系统建模理论与智能学习方法,2018年中国人工智能学会自然科学一等奖

4. 不连续系统的渐近行为与镇定性研究,2017年教育部高等学校自然类二等奖

5. 企业信息化系统与工程交叉学科建设,2016年中国自动化学会教学成果一等奖

6. 复杂动态系统及非线性系统的分析与鲁棒控制,2006年江苏省自然科学一等奖

7. 2009年英国皇家工程院杰出访问会士奖


学术成果


在主要研究领域内,发表国内外重要学术期刊与会议SCI和EI检索学术论文300余篇。

代表性期刊论文:

A.经典机器学习、迁移学习、深度学习及其应用

1. Yang Le, Song Shiji, Li Shuang, Chen Yiming, Chen C. L. Philip, Discriminative Dimension Reduction via Maximin Separation Probability Analysis. IEEE Transactions on Cybernetics, 2021,51(8): 4100-4111.

2. Wang Yulin, Huang Gao, Song Shiji, Pan Xuran, Xia Yitong, Wu Cheng, Regularizing deep networks with semantic data augmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021. DOI: 10.1109/TPAMI.2021.3052951.

3. Huang Gao, Ge Chunjiang, Xiong Tianyu, Song Shiji, Yang Le, Liu Baoxian, Yin Wenjun, Wu Cheng,Large scale air pollution prediction with deep convolutional networks. SCIENCE CHINA-Information Sciences, 2021,64(9): 192107.

4. Yang Le, Song Shiji, Li Shuang, Chen Yiming, Huang Gao,Graph Embedding-Based Dimension Reduction with Extreme Learning Machine. IEEE Transactions on Systems Man Cybernetics-Systems,2021,51(7):4262-4273.

5. Han Yizeng, Huang Gao, Song Shiji, Yang Le, Wang Honghui, Wang Yulin, Dynamic Neural Networks: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021,DOI: 10.1109/TPAMI. 2021. 3117837.

6. Han Yizeng, Huang Gao, Song Shiji, Le Yang, Zhang Yitian & Jiang Haojun, Spatially Adaptive Feature Refinement for Efficient Inference. IEEE Transactions on Image Processing, 2021, 30: 9345 – 9358.

7. Wang Yulin, Huang Rui, Huang Gao, Song Shiji, Wu Cheng,Collaborative Learning with Corrupted Labels. Neural Networks, 2020,125:205-213.

8. Chen Yiming, Song Shiji, Li Shuang; Wu Cheng,A Graph Embedding Framework for Maximum Mean Discrepancy-Based Domain Adaptation Algorithms. IEEE Transactions on Image Processing, 2020,29:199-213.

9.Yang Le, Gong Yanshang, Wu Cheng, Song Shiji, Huang Gao,Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability. IEEE Transactions on Neural Networks and Learning Systems, 2019,30(10): 3205-3210.

10. Chen Yiming, Song  Shiji, Li Shuang; Yang Le, Wu Cheng,Domain Space Transfer ExtremeLearning Machine for Domain Adaptation. IEEE Transactions on Cybernetics,2019,Vol.49(5):1909-1922.

11. Li Shuang,Song Shiji,Huang Gao,Wu Cheng,Cross-Domain Extreme Learning Machines for Domain Adaptation. IEEE Transactions on Systems Man Cybernetics-Systems, 2019,49(6):1194-1207;

12. Li Shuang, Song Shiji, Huang Gao, Ding Zhengming, Wu Cheng, Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation.IEEE Transactions on Image Processing, 2018,27(9):4260-4273.

13. Li Shuang, Song Shiji,Huang Gao,Prediction Reweighting for Domain Adaptation. IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(7): 1682-1695.

14. Song Shiji, Gong Yanshang, Zhang Yuli, Huang Gao, Huang Guang-Bin, Dimension Reduction by Minimum Error Minimax Probability Machine. IEEE Transactions on Systems Man Cybernetics: Systems, 2017, Vol. 47(1): 58-69.

15. 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.

16. Huang Gao, Liu Tianchi, Yang Yan, Lin Zhiping, Song Shiji, Wu Cheng, Discriminative Clustering via Extreme Learning Machine. Neural Networks, 2015, 70: 1-8.

17. Huang Gao, Huang Guang-bin, Song Shiji, You Keyou, Trends in Extreme Learning Machine: A review. Neural Networks, 2015,61(1):32-48.

18. Qin Chen, Song Shiji, Huang Gao, Zhu Lei, Unsupervised Neighborhood Component Analysis For Clustering. Neurocomputing, 2015, 168(30): 609-617.

19. 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.

20. 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.

21. Huang Gao, Song Shiji, Wu Cheng, Orthogonal Least Squares Algorithm for Training CascadeNeural Networks. IEEE Transactions on Circuits and Systems- I, 2012, 59(12): 2629-2637.

22. 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.


B.强化学习、自主水下机器人

23. Jiang Peng, Song Shiji, Huang Gao, Attention-Based Meta-Reinforcement Learning for Tracking Control of AUV With Time-Varying Dynamics. IEEE Transactions on Neural Networks and Learning Systems, 2021. DOI: 10.1109/TNNLS.2021.3079148.

24. Jiang Peng Song Shiji, Huang Gao, Exploration with Task Information for Meta Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems, 2021. DOI: 10.1109/TNNLS.2021.3121432.

25. Hu Hangkai, Song Shiji, Huang Gao, Self-Attention-Based Temporary Curiosity in Reinforcement Learning Exploration. IEEE Transactions On Systems Man Cybernetics-Systems,2021, 51(9):5773-5784.

26. Shi Wenjie, Huang Gao, Song Shiji, Wu Cheng, Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021. DOI: ‪10.1109/ TPAMI.‪2021.3133717.

27. Hu Hangkai, Huang Gao, Li Xiang, Song Shiji, Meta-Reinforcement Learning with Dynamic Adaptiveness Distillation. IEEE Transactions on Neural Networks and Learning Systems, 2021.DOI:10.1109/TNNLS. 2021. 3105407.

28. Shi Wenjie, Huang Gao, Song Shiji, Wu Cheng, Self-Supervised Discovering of Interpretable Features for Reinforcement Learning. EEE Transactions on Pattern Analysis and Machine Intelligence, 2020, DOI: 10.1109/tpami.2020.3037898.

29. Zhou Kaichen,Song Shiji,Xue Anke,You Keyou, Wu Hui, Smart Train Operation Algorithms Based on Expert Knowledge and Reinforcement Learning. IEEE Transactions on Systems, Man, and Cybernetics: Systems,2020,DOI: 10.1109/ TSMC. 2020.3000073.

30. Hu Hangkai, Song Shiji, Chen, C. L. Phillip,Plume Tracing via Model-Free Reinforcement Learning Method.  IEEE Transactions on Neural Networks and Learning Systems, 2019,30(8):2515-2527.

31. Wu Hui,Song, Shiji,You Keyou,Wu Cheng,Depth Control of Model-Free AUVs viaReinforcement Learning. IEEE Transactions on Systems Man Cybernetics: Systems,2019,49(12):2499-2510.

32.Shi Wenjie, Song Shiji, Wu Cheng & Chen C. Philip, Multi Pseudo Q-Learning-Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles. IEEE Transactions on Neural Networks and Learning Systems, 2018, 30(12), 3534-3546.

33. 许雅筑,武辉,游科友,宋士吉,强化学习方法在自主水下机器人控制任务中的应用.中国科学-信息科学,  2020,50(12):1798-1816.


C.分布函数鲁棒优化、离散优化与生产线调度

34. Zhang Pengyu, Song Shiji, Niu Shengsheng & Zhang Rui, A Hybrid Artificial Immune-Simulated Annealing Algorithm for Multiroute Job Shop Scheduling Problem with Continuous Limited Output Buffers. IEEE Transactions on Cybernetics, 2021, Doi:10.1109/TCYB. 2021: 3081805.

35. Niu Shengsheng, Song Shiji, Chiong Raymond, A Distributionally Robust Scheduling Approach for Uncertain Steelmaking And Continuous Casting Processes. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, Doi: 10.1109/TSMC.2021, 3079133.

36. Wang Zuolin, You Keyou, Song Shiji, Zhang Yuli, Second-order Conic Programming Approach for Wasserstein Distributionally Robust Two-stage Linear Programs. IEEE Transactions on Automation Science and Engineering, 2021, DOI: 10.1109/TASE.2021.3056429.

37.Wang Zhuolin, You Keyou, Song Shiji, Zhang Yuli, Wasserstein Distributionally Robust Shortest Path Problem. European Journal of Operational Research, 2020,284(1): 31-43.

38. Zhang Rui, Song Shiji, Wu Cheng,Robust Scheduling of Hot Rolling Production by Local Search Enhanced Ant Colony Optimization Algorithm. IEEE Transactions on Industrial Informatics, 2020,16(4):2809-2819.

39. Chang Zhiqi, Ding JianYa, Song Shiji,Distributionally Robust Scheduling on Parallel Machines Under Moment Uncertainty. European Journal of Operational Research, 2019,272 (3): 832-846.

40.Niu Shengsheng, Song Shiji, Ding Jian-Ya, Zhang Yuli, Chiong Raymond,Distributionally Robust Single Machine Scheduling with The Total Tardiness Criterion. Computers & Operations Research, 2019, 101:13-28.

41.Ding Jianya, You Keyou, Song Shiji, Wu Cheng, Likelihood Ratio-Based Scheduler for Secure Detection in Cyber Physical Systems. IEEE Transactions On Control Of Network Systems, 2018,5(3):991-1002.

42.Zhang Yuli, Shen Zuo-Jun Max, Song Shiji, Exact Algorithms for Distributionally Beta-Robust Machine Scheduling with Uncertain Processing Times. Informs Journal on Computing, 2018, 30(4): 662-676.

43. Chang Zhiqi, Song Shiji, Zhang Yuli, Ding Jian-Ya, Zhang Rui, Distributionally Robust Single Machine Scheduling with Risk Aversion. European Journal of Operational Research, 2017, 256 (1): 261-274.

44. Zhang Rui, Chang Pei-Chann, Song Shiji, Wu Cheng, Local Search Enhanced Multi-Objective PSO Algorithm for Scheduling Textile Production Processes with Environmental Considerations. Applied Soft Computing, 2017, Vol. 61:447-467.

45. 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.

46. 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.

47. Ding Jianya, Song Shiji, Wu Cheng, An Improved Iterated Greedy Algorithm with a Tabu-Based Reconstruction Strategy for The No-wait Flowshop Scheduling Problem. Applied Soft Computing, 2015, 30(1): 604-613.

48. Liu Gengcheng, Song Shiji, Some Heuristics for No-wait Flowshops with Total Tardiness Criterion. Computers & Operations Research, 2013, 40(2): 521-529.

49. 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.

50. 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.

51. Zhang Rui, Song Shiji, Wu Cheng,A Hybrid Differential Evolution Algorithm for Job Shop Scheduling Problems with Expected Total Tardiness Criterion. Applied Soft Computing,2013, 13(3):1448-1458.

52. 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.

53. 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.

54. Jin Feng, Song Shiji, Wu Cheng, A Simulated Annealing Algorithm for Single MachineScheduling Problems with Family Setups. Computers & Operations Research, 2009, 36: 2133- 2138.

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

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

57.宋士吉,张鹏宇,张玉利,张 瑞,丁见亚,牛晟盛,常志琦,吴 澄,国家自然科学基金重点项目“钢铁生产线的多工序实时智能优化调度理论、方法及应用”研究成果综述.中国科学基金, 2021, 35卷(增刊): 205-213.


D.分布函数鲁棒优化、连续优化与供需链库存管理及协同配送

58. Zhao Han, Liao Yu, Song Shiji, Zhang Yuli, Yue Fan,Optimal Decisions In Supply Chains with a Call Option Contract under The Carbon Emissions Tax Regulation. Journal of Cleaner Production, 2020, 271:122199.

59. Zhang Yuli, Song Shiji, Shen Zuo-Jun Max, Wu Cheng,Robust Shortest Path Problem withDistributional Uncertainty. IEEE Transactions on Intelligent Transportation Systems, 2018, 19(4): 1080-1090.

60. Zhang Yuli, Shen Zuo-Jun Max, Song Shiji, Lagrangian Relaxation for The Reliable Shortest Path Problem with Correlated Link Travel Times. Transportation Research Part B-Methodological, 2017, 104: 501-521.

61. 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.

62. 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.

63. Lin Lin, Song Shiji, Hybrid NSGA-II Algorithm On Robust Multi-Objective InventoryManagement Problem. Transactions of the Institute of Measurement and Control, 2015, 37(7): 909-918.

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

65.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.

66. 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.

67.Li Guocheng, Song Shiji, Wu Cheng. Generalized Gradient Projection Neural Networks for Nonsmooth Optimization Problems. Science China-Information Sciences, 2010, 53(5): 990-1005.

68. 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.

69. Song Shiji, Zhang Long, Wu Cheng, Optimal Purchasing Strategy Based Risk Utility in Two Periods Inventory Systems under Stochastic Circumstance. Acta Electronica Sinica,2006, 34: 2058-2062.


E.分布式系统协同控制与优化及其应用

70. Li Zhuo,You Keyou,Song Shiji,Cooperative Field Prediction and Smoothing via Covariance Intersection. IEEE Transactions on Signal Processing, 2021, 69:797-808.

71. Li Zhuo,You Keyou,Song Shiji,Xue, Anke,Optimization-Based Control for Bearing-Only Target Search with a Mobile Vehicle. IEEE Transactions on Systems Man Cybernetics-Systems, 2021, 51(7):4149-4159.

72. Li Zhuo, You Keyou, Song Shiji,Cooperative Source Seeking via Networked Multi-Vehicle Systems. Automatica, 2020,115:108853.

73. Dong Fei, You Keyou, Song Shiji,Target Encirclement with Any Smooth Pattern Using Range-Based Measurement. Automatica, 2020, 116:108932.

74.You Keyou, Chen Qizhu, Xie Pei, Song Shiji,Range-Based Coordinate Alignment for Cooperative Mobile Sensor Network Localization. IEEE Transactions on Control owangf Network Systems, 2020, 7(3): 1379-1390.

75. Xie Pei, You Keyou, Song Shiji, Wu Cheng,Distributed Range-Free Localization via Hierarchical Nonconvex Constrained Optimization. Signal Processing, 2019, 164:136-145.

76. Xie Pei, You Keyou, Tempo Roberto, Song Shiji, Wu Cheng, Distributed Convex Optimization with Inequality Constraints over Time-Varying Unbalanced Digraphs. IEEE Transactions  on Automatic Control, 2018,63(12):4331-4337.

77. Lin Jinbiao, Song Shiji, You Keyou, Krstic Miroslav, Stochastic Source Seeking with Forward and Angular Velocity Regulation. Automatica, 2017, 83: 378-386.

78. 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, 31(9): 1285-1295.

79.Lin Jinbiao, Song Shiji, You Keyou, Wu Cheng,3-D Velocity Regulation for Nonholonomic Source Seeking without Position Measurement. IEEE Transactions on Control Systems Technology, 2016, 24(2):711-718.

80. Ai Xiaodong, Song Shiji, You Keyou. Second-Order Consensus of Multi-Agent Systems underLimited Interaction Ranges. Automatica, 2016, 68: 329-333.

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


F. 脉冲/延迟系统渐近行为与稳定性理论

82.Li Xiaodi, Zhu Haitao, Song Shiji, Input-to-State Stability of Nonlinear Systems Using Observer-Based Event-Triggered Impulsive Control. IEEE Transactions on Systems Man Cybernetics-Systems, 2021, 51(11): 6892-6900.

83. Yang Dan, Li Xiaodi, Song Shiji,Design of State-Dependent Switching Laws for Stability of Switched Stochastic Neural Networks with Time-Delays. IEEE Transactions on Neural Networks and Learning Systems, 2020,31(6): 1808-1819.

84. Li Xiaodi, Yang Xueyan, Song Shiji,Lyapunov Conditions for Finite-Time Stability of Time-Varying Time-Delay Systems. Automatica, 2019,Vol.103:135-140.

85.Li Xiaodi, Song Shiji, Wu Jianhong,Exponential Stability of Nonlinear Systems with Delayed Impulses and Applications. IEEE Transactions on Automatic Control, 2019,64(10): 4024-4034.

86. Li Xiaodi,Song Shiji,Wu Jianhong, Impulsive Control of Unstable Neural Networks withUnbounded Time-Varying Delays. Science China-Information Sciences, 2018,61(1): 215-228.

87. Li Xiaodi, Zhang, Xiaoli, Song Shiji, Effect of Delayed Impulses on Input-to-State Stability of Nonlinear Systems. Automatica, 2017, 76:378-382.

88. 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.

89. 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.


G.模糊推理、微分(差分)方程理论

90. 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.

91. Li Guocheng, Song Shiji, Wu Cheng, Existence of Solutions for Random Second-OrderMultivalued Periodic Problems. Acta Mathematica Sinica, 2006, 49: 1-6.

92. Song Shiji, Wu Cheng, Xue Xiaoping, Existence and uniqueness of Cauchv problem for fuzzydifferential equations under dissipative conditions. Computer and Mathematics with Applications, 2006, 51: 1483-1492.

93. Song Shiji, Wu Cheng, Lee ES. Asymptotic Equilibrium and Stability of Fuzzy Differential Equations. Computer and Mathematics with Applications, 2005, 49: 1267-1277.

94. Song Shiji, Wu Cheng, Reverse Triple I Method of Fuzzy Reasoning. Science in China, Series F, 2002, 45: 344-364.

95. Song Shiji, Feng Chunbo, Lee ES, Triple I Method of Fuzzy Reasoning. Computer andMathematics with Applications, 2002, 44: 1567-1579.

96. 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.

97. Song Shiji, Liu Qinyu, Disturbance Evolution and The Nonlinear Stability to The Basic Flowsfor Two-Dimensional Quasi-Geostrophic Motion. Chinese Science Bulletin, 1999, 44: 1179-1184.

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

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

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

101.Wu Congxin, Song Shiji, Approximate Solutions, Existence, and Uniqueness of the CauchyProblem to Fuzzy Differential Equations. Journal of Mathematical Analysis and Applications, 1996, 202, 629-644.

102. Wu Congxin, Ma Ming, Song Shiji et al. Generalized Fuzzy Integrals: Part 3 Convergent Theorems. Fuzzy Sets and Systems, 1995, 70, 74-87.


专著、译著:

【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.

【2】 宋士吉,吴澄,不确定制造环境下的智能调度理论及其应用,中国科学出版社,2022.


开设课程


1. 应用随机过程,本科生选修课

2. Modeling and Optimization of Complex Networked Systems(Nonlinear Programming),研究生专业基础课