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                師資隊伍
                宋士吉

                教授

                工業智能與系統研究】所

                電話: 010-62782721 Fax:010-62782721
                地點:北京清華大學自動化系


                教育背景


                1993年3月至1996年5月 哈爾濱工業大卐學數學系,獲博士因为他知道學位

                1986年9月至1989年5月 哈爾→濱工業大學數學∩系, 獲碩士學位

                1982年9月至1986年7月 哈爾◤濱師範大學數學系,獲學士學位


                工作履歷


                2006年12月-至今 清華大學自動化系教授如果我所料不错

                2000年11月-2006年11月 清華大學自動化系副研◣究員

                1998年10月-2000年11月 東南大學控制①科學與工程,博士後

                1996年7月-1998年9月 中國海洋大學海洋環境科學ㄨ與工程, 博士後

                1994年7月-1996年7月 哈爾濱工〇業大學,副教授

                1990年10月-1994年6月 哈爾濱工業大何林低声冷哼道學,講師

                1988年1月-1990年9月 哈爾濱工業大學,助教


                學術兼職


                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,《中國科學-信息科學》編委

                2012年7月至今,《人工※智能與機器人研究》副主編

                2016年9月至今,國家海洋局信●息化工作專家組成員

                2007年5月至今,中國大洋協會信息化領域責↙任專家

                2013年9月至今,中國儀在战斗中不断成长器儀表學會嵌入式儀表及系統技術分委∏員會常務理事

                2015年7月至今,中國運籌學學會智能工業」數據解析與優化天地规则分委員會常務理事


                研究領域


                1.機器學習、強化學習理◤論方法及其應用

                2.水下機器人智能随后便是恢复正常探測、識別在所有人惊惧與優化控制技術

                3.深海□空間信息處理技術與智能管控系統

                4.生產制造復雜工藝過程的隨機優化與智能調度①


                研究概況


                [1]鋼鐵生產線的多工序實時智能優化調度理論、方法及他應用,國家自反噬然科學基金鋼鐵☉聯合基金重點項目,U1660202, 2017.01-2020.12,負責人

                [2]深海可控式可視采樣器關◣鍵技術研究與樣犀牛一下子融入了那三叉戟之中機研制←,國家自然科學基金重↑大科研儀器研制項目,41427806, 2015.01—2019.12,負責人

                [3]軌道交通系統狀態信息實時獲取、監測、融合〖與處理技術,科技部重『點研發專項課題,2016YFB1200203-05,2016.07—2020.06,負責人

                [4]基於數據驅動的風力發電那没有得到鸿蒙紫气機狀態監控與故障診斷技術研究⌒ ,教育部高等學校博缓缓开口道士點基金,20130002130010,2014.01—2016.12,負責人

                [5]隨機多級庫存成本管理的風險☆建模與優化方法及其應用,國家自然科學基金,61273233, 2013.01—2016.12,負責人

                [6]國際海底區域資源研〗究與開發項目預算績效評價體系研究與管理信息编号系統建設,國家ぷ海洋局大洋專項,DYXY-125,2013.07—2015.12,負責人

                [7]國際海域資源調查數據三維可視化技術及其應用驗證,國家海洋局♂大洋專項,DY125-25-02,2011.06—2015.12,負責人

                [8]大洋綜合資源調查船與載人潛◣水器支撐母船的信息化技術及其實】現方案,國家海洋局青帝和恶魔之主大洋專項,DYXY-125,2011.01—2015.12,負責人

                1.2016年“不連續系統的漸近行為與鎮定性研究”獲教育部高等學我想你应该可以出来了校自然類二等獎

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

                3. 2007年“復●雜不確定環境下的軟計算技術及其應用”獲教育部高等學校自然類二等獎

                4. 2006年“復雜動態系統及非線性¤系統的分析與魯棒控制”獲江蘇省科學技術(自然類)一等獎

                5. 2006年“泛函空間中的微分包含♀及相關問題”獲黑龍江省科學技庞大術(自然類)二等獎


                獎□ 勵與榮譽


                2016年“不連續系統的漸近行為與鎮定性研究”獲教育部高等學校自然類二等獎

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

                2007年“復雜不確定環境下的軟計算◤技術及其應用”獲教育部高等學校自然類二等獎

                2006年“復雜動態系統⊙及非線性系統的分析與魯棒控制”獲江蘇省科學技術(自然類)一等獎

                2006年“泛函空間中的微分包含及相關問題”獲黑神府龍江省科學技術(自然類)二等獎


                學術成果


                在國際期刊▓及會議上發表論文近200篇;其中SCI收錄近百直接朝忘流苏狠狠斩了下来篇。

                代表性論文:

                機器學習

                [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.

                基於智能學習的優化與控制≡

                [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.

                復雜生產過程調度

                [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.

                不確定性供需鏈建模、隨機優化

                [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.

                延遲脈沖系統的鎮定性

                [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.

                逐次逼近就破不开方法、優化性能與】漸近性

                [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.

                譯著、專著:

                [1]宋士吉,張玉利,賈慶山譯,《非可以说是生死与共線性規劃》(原著:《Nonlinear Programming: Third Edition》Dimitri P.Bertsekas, Athena Scientific, Belmont, Massachusetts),清華大學╳出版社,2013年1月(約90.6萬字).

                [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.

                開設課程:

                1.《應用隨機過程接我一击叶红晨此时却是成了真正》,本科∩生課程,48學時

                2.《Modeling and Optimization of Complex Networked Systems》,研究生竟然还在攀升課程,48學時