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个人信息
天津大学 智能与计算学部 教授 博导
研究领域: 服务计算 群体智能 计算实验
邮箱：jzxuexiao@tju.edu.cn

教育背景
华北电力大学（北京） 自动化系 工学学士
中科院自动化研究所 硕博连读 工学博士
清华大学 国家CIMS工程技术研究中心 博士后
美国卡耐基梅隆大学 计算机系 国家公派访问学者

学术兼职
IEEE会员、CCF会员、ACM会员；
服务计算专委会常务委员; 协同计算专委会委员；国家自然基金评审专家；吴文俊人工智能奖评审专家；天津市网信办评审专家；中国互联网协会青年专家；
IEEE Transactions on Intelligent Vehicles 副主编；International Journal of Crowd Science 编委；TII, TSC, TCSS, IJPR, JIT, JNCA, SOCA, IEEE loT,《计算机学报》,《计算机研究与发展》等高级别期刊审稿专家；
IEEE SERVICES 2022 Open Software Service Award Chair, NCSC 2021 Normal Track Chair, ICSOC 2021 Publicity Chair, ICWS 2021 Special Track Chair; ICSOC 2019 Workshop Co-chair, ICSS 2019 Publication Chair; ICWS 2018, 2019, 2020, 2021, 2022 PC member; NCSC 2018, 2019, 2020, 2021, 2022 PC member.

个人简介

薛霄     天津大学智能与计算学部    教授、博导。主要研究方向为服务计算、计算实验、群体智能。工作以来，先后获得省科技创新杰出青年(省杰青), 省高校科技创新人才，省高校青年骨干教师，省学术带头人等荣誉称号。积极参加学术活动，目前是天津市健康人居环境与智慧技术重点实验室副主任；Chairs of Young Experts in Services Computing (YESC) Committee;IEEE Transactions on Intelligent Vehicles 副主编；International Journal of Crowd Science 编委；Complex System Modeling and Simulation青年编委。
       近年来，主持与参与科研项目包括国家重点研发、国防特区创新、国家自然基金重点、国家自然基金面上、省级重大课题30多项；以第一作者或通信作者在IEEE Trans等顶级期刊与会议上发表论文50多篇，并获得ICWS 2020最佳论文奖（服务计算Top 1会议），2023年 CCF服务计算杰出成就奖；出版著作《复杂系统的计算实验方法》，是国内第一本对计算实验方法进行系统化梳理的专著；获2023年度IFAC TC Award for Outstanding Achievement in Social Computing and CPSS。获省自然科学二等奖2项（均排名第一）、省决策成果二等奖1项（排名第一）、省优秀学术著作一等奖1项（独著）。

最新动态

( "群体智能&计算实验"系列文章 )

[1] 薛霄 著. 复杂系统的计算实验方法-原理、模型与案例, 科学出版社, 2020年9月.

【序】为什么要计算实验  【书评】"计算人文"离我们有多远？   【试读版下载链接】

【了解】复杂系统的计算实验方法

[2] 薛霄*, 于湘凝, 周德雨, 彭超, 王晓, 周长兵, 王飞跃. 计算实验方法的溯源、现状与展望, 自动化学报, 2023, 49(2): 246-271. (CCF A期刊, 一级学报)

[3] Xiao Xue*, Xiangning Yu and Fei-Yue Wang. ChatGPT Chats on Computational Experiments: From Interactive Intelligence to Imaginative Intelligence for Design of Artificial Societies and Optimization of Foundational Models, IEEE/CAA Journal of Automatica Sinica, 2023, 10(6):1357-1360. (自动化学会A刊, 中科院大类1区)

[4] Xiao Xue*, Fang-Yi Chen, De-Yu Zhou, Xiao Wang, Min Lu, Fei-Yue Wang. Computational Experiments for Complex Social Systems Part I: The Customization of Computational Model, DOI= 10.1109/TCSS.2021.3125287, IEEE Transactions on Computational Social Systems, 2021. (自动化学会A类期刊, 计算实验方法 Part 1)

[5] Min Lu, Shizhan Chen, Xiao Xue*, Xiao Wang, Yufang Zhang, Feiyue Wang. Computational Experiments for Complex Social System Part II: the Evaluation of Computational Model, IEEE Transactions on Computational Social Systems, DOI=10.1109/TCSS.2021.3121323, 2021. (自动化学会A类期刊, 计算实验方法 Part 2)

[6] Xiao Xue*, Xiang-Ning Yu, De-Yu Zhou, Chao Peng, Xiao Wang, Fei-Yue Wang. Computational Experiments for Complex Social Systems, Part III: the Docking of Domain Models, IEEE Transactions on Computational Social Systems, DOI= 10.1109/TCSS.2023.3243894, 2023. (自动化学会A类期刊, 计算实验方法 Part 3)

[7] Xiao Xue*, Xiangning Yu, Deyu Zhou, Xiao Wang, Chongke Bi, Shufang Wang, Fei-Yue Wang. Computational Experiments for Complex Social Systems: Integrated Design of Experiment System, IEEE/CAA Journal of Automatica Sinica, 2023. (自动化学会A类期刊, 中科院大类1区, 计算实验方法 Part 4)

[8] Xiao Xue*, Shufang Wang, Lejun Zhang, Zhiyong Feng, Yaodan Guo. Social Learning Evolution (SLE): Computational Experiment-based Modeling Framework of Social Manufacturing. IEEE Transactions on Industrial Informatics, 2019, 15(6): 3343-3355. (中科院大类1区, Top期刊, AI Society 论文 1)

[9] Deyu Zhou, Xiao Xue*, Zhangbin Zhou. SLE2: The improved Social Learning Evolution Model of Cloud Manufacturing Service Ecosystem, DOI=10.1109/TII.2022.3173053, IEEE Transactions on Industrial Informatics, 2022. (中科院大类1区, Top期刊, AI Society 论文 2)

[10] Yiling Xuan, Xiangning Yu, Ying Wang, Donghua Liu, Qun Ma, Xiao Xue*. A Self-evolving Network-based Artificial Society Model for the Experiment Analysis of Complex Social System, Information Sciences, DOI=10.1016/j.ins.2023.119057, 2023. (中科院大类1区, Top期刊)


( "智能社会&服务生态"系列文章 )

[1] Xiao Xue*, Guanding Li, Deyu Zhou, Yepeng Zhang, Lu Zhang, Yang Zhao, Zhiyong Feng, Lizhen Cui, Zhangbing Zhou, Xiao Sun, Xudong Lu, Shizhan Chen. The Research Roadmap of Service Ecosystem: A Crowd Intelligence Perspective, International Journal of Crowd Sciences, 2022, 6(4): 195-222. （服务生态综述论文）

[2] Xiao Xue*, Deyu Zhou, Fangyi Chen, Xiangning Yu, Zhiyong Feng, Yucong Duan, Lin Meng, Mu Zhang. From SOA to VOA: A Shift in Understanding the Operation and Evolution of Service Ecosystem, IEEE Transactions on Services Computing, 2023,16(1): 315 - 329. (ESI高被引论文, CCF A刊, Top期刊)

[3] Xiao Xue*, Yaodan Guo, Shufang Wang, Shizhan Chen. Analysis and Controlling of Manufacturing Service Ecosystem: A research Framework based on the Parallel System Theory. IEEE Transactions on Services Computing, 2021, 14(6): 1598-1611. (CCF A刊, Top期刊)

[4] Xue, X.*, Chen, Z., Wang, S., Feng, Z., Duan, Y., & Zhou, Z. Value Entropy: A Systematic Evaluation Model of Service Ecosystem Evolution. IEEE Transactions on Services Computing, 2022, 15(4):1760-1773. (ESI高被引论文, CCF A刊, Top期刊)

[5] Xiao Xue*, Jiajia Gao, Shuang Wu, Shufang Wang, Zhiyong Feng. Value-Based Analysis Framework of Crossover Service: A Case Study of New Retail in China. IEEE Transactions on Services Computing, 2022, 15(1): 83-96. (CCF A刊, Top期刊)

[6] Xiao Xue*, Hongfang Han, Shufang Wang, and Chengzhi Qin. Computational Experiment-based Evaluation on Context-aware O2O Service Recommendation. IEEE Transactions on Services Computing, 2019, 12(6): 910-924. (CCF A刊, Top期刊)

[7] Deng Zhao, Zhangbing Zhou, Zhipeng Cai, Sami Yangui, Xiao Xue. ASTL: Accumulative STL with aNovel Robustness letric for IoT Service. IEEE Transactionson Mobile Computing. 2022. DOI: 10.1109/TIC.2022.3179290. (CCF A刊, Top期刊)

[8] Xiao Xue*, Zhaojie Chen, Shizhan Chen, Binjie Li. An integrative multi-dimensional evaluation of Service Ecosystem. 2020 IEEE International Conference on Web Services (ICWS). pp.265-272, 2020. (服务计算Top 1会议, Best Paper Award)