研究领域 

（1）智能决策与机器学习,大数据驱动管理决策

（2）信息系统经济学,平台竞争, 数据定价

（3）企业的数字化转型
 

重要科研项目

[1]2021/11-2024/10,集团制造企业多基地网状拓扑组织结构与价值链协同体系，国家重点研发课题（2021YFB3300701),主持

[2]2022/01-2023/12, XXXX总体规划与综合XX设计算法开发，工信部“十四五”专项（XXXX-XXXX）子课题，主持

[3]2019/1-2022/12,在线内容的生产和付费机制及定价策略和收益模式选择研究,国家自然科学基金(71872144),主持

[4]2019/1-2019/12,大数据驱动下的观察学习与网络口碑的交互与协同影响研究,国家自然科学基金(91846110),主持

[5]2016/1-2018/12,大数据驱动下的社会化电子商务价值生成和价值分配问题的研究,国家自然科学基金重大研究计划培育项目(91546119),主持

[6]2017/1-2018/12,互联网环境下信息产品与服务定价策略研究,国家自然科学基金海外及港澳学者合作研究基金项目（71628205),国内合作者

[7] 2011/1-2013/12,多准则群决策分类方法及应用研究,国家自然科学基金(71071124),主持

[8] 2006/1-2008/12,知识转移途径及风险控制对组织间合作绩效的影响分析,国家自然科学基金(70571063),主持

[9]2007/1-2009/12,基于接包方视角的服务外包运作模式及对绩效的影响因素分析, 教育部新世纪优秀人才支持计划项目 (NECT-06-0832),主持

[10]2009/1-2012/12,新兴电子商务重大基础问题与关键技术研究,国家自然科学基金重大项目(70890081),主要参与人

[11]2010/1-2012/12,中国国家创新竞争力战略研究, 教育部哲学社会科学重大攻关项目(09JZD0030),子课题负责人

[12]2012/1-2015/12,网络环境下基于新一代交互技术的客户关系与营销渠道管理,国家自然科学基金重点项目(71132005),主要参与人

[13]2018/1-2021/12,基于市场导向的重大科技项目成果转化的生态环境和制度优化,国家社会科学基金重大项目,子课题负责人

[14]2024/8-2025/8, NPS推荐及修复建模, 华为委托项目，课题负责人.

近年发表的部分重要论文

[1] Lin QingYuan, Liao Xiuwu, Li Jing, Liu Yang. Exploring Bimodel multi-level networks: network structure and dynamics driving herding effects and growth in livestreaming, Information Systems Journal,2024, 34(1): 228-260. (SSCI).

[2] Wu Shuang, Liu Qian, Zhao Xin, Sun Baowen, Liao Xiuwu. Attracting solver's participation in crowdsourcing contents: the role of linguistic signals in task descriptions , Information Systems Journal, ,2024, 34(1):6-38.(SSCI)

[3] Xu Biao,Wang Yao, Liao Xiuwu, Wang Kaidong. Efficient fraud detection using deep boosting decision trees, Desion Support Systems, 2023, doi. org/10.1016/j. dss.2023.114037 (SCI)
[4] Wang KaiDong, Liao Xiuwu, Li Jun, Meng Deyu Wang Yao. Hyperspectral Image Super-resolution via Knowledge-Driven Deep Unrolling and Transformer Embedded Convolutional Recurrent Neural Network, IEEE Transactions an Image Processing, 2023,32:4581-4593 (CCFA, SCI).

[5] Ru Zice, Liu Jiapeng, Milosz Kadziński, Liao Xiuwu.Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences, European Journal of Operational Research,2023, 311(2):596-616 (SCI/SSCI）.

[6] Wang Chenhao, Yi Qianxin, Liao Xiuwu, Wang Yao. An improved frequent directions algorithm for low-rank approximation via block krylov iteration. IEEE Transaction on Neural Networks and Learning Systems, 2023, doi:10.1109/TNNLS.2022.3233243 (SCI).

[7] Liu Jiapeng, Miłosz Kadziński, Liao xiuwu. Modeling contingent decision behavior: a Bayesian  nonparametric preference learning approach.INFORMS Journal on Computing. 2023, 35(4):764-785 (国际顶级期刊, UTD24,  SCI)

[8] Ding Ling, Feng Juan, Liao Xiuwu, Yang Lu. The emergence of a sharingmarket: pricing,supply,and consumption. International Journal of  Electronic Commerce, 2022,26(2):149-173.(SSCI, SCI)

[9] Ru Zice, Liu Jiapeng, Milosz Kadziński, Liao Xiuwu. Bayesian ordinal regression formultile criteria choice and ranking. European Journal of Operational Research, 2022, 299: 600-620 .(SCI/SSCI)

[10] Guo Mengzhuo, Zhang Qingpeng, Liao Xiuwu, et al. Deciphering feature effects on decision-making in ordinal regression problems: an explainable ordinal factorization model. ACM Transactions on Knowledge Discovery from Data, 2021,16(3):Article 59. (SCI)

[11] Guo Mengzhou, Zhang Qingpeng, Liao Xiuwu, et al. A hybrid machine learning framework for analyzing human decision-making through learning preferences. Omega, 2021,101,102263.(SCI/SSCI)

[12] Wang Kaidong, Wang Yao, Zhao Qian, Meng Deyue, Liao Xiuwu, Xu Zongben. SPLBoost: an improved robust boosting algorithm based on self-paced learning. IEEE Transaction on Cybernetics, 2021,51(3):1556-1570. (SCI)

[13] Liu Jiapeng, Miłosz Kadziński, Liao xiuwu, Mao Xiaoxin. Data-driven preference learning methods for value-driven multiple criteria sorting with interacting criteria. INFORMS Journal on Computing, 2021,33(2):586-606 (国际顶级期刊, UTD24 ).(SCI)

[14] Guo Mengzhuo, LiaoXiuwu, Liu Jiapeng,Zhang Qingpeng. Customer Preference Analysis: a data-driven multiple criteria approach integrating online information. Omega,2020,96.(SCI/SSCI)

[15]Ding Ling, Liao Xiuwu, Feng Juan. Should a sharing platform invest in self-fulfiliment product? Journal of Electronic Commerce Research, 2020, 21(4):215-236. (SSCI)

[16] Liang Qian, Liao Xiuwu, Shang Jennifer. A multiple crteria approach integrating social ies to support purchase decision. Computers & Industrial Engineering. 2020, 147.(SCI)

[17] Liu Jiapeng, Milosz Kadzinski, Liao Xiuwu. A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples. Europearn Journal of Operational Research, 2020,286(3):963-985 （SCI/SSCI)

[18]Liu Jiapeng, Liao Xiuwu,Kadzinski M, Slowinski,R. Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria. European Journal of Operational Research  2019,276:1071-1089 (SCI/SSCI)

[19]Guo, Mengzhuo, Liao Xiuwu, Liu Jiapeng. A progressive sorting approach for multiple criteria decision aiding in the presence of non-nonotoic preferences. Expert Systems With Applications, 2019, 123:1-17 (SCI).

[20]Liu Jiapeng, Liao Xiuwu, Huang Wei, Liao Xianzhao. Market segmentation: A multiple criteria approach combining preference analysis and segmentation decision. Omega,2019,83:1-13  (SCI/SSCI/EI)

 [21] Wang Qi, Du Wei, Ma Jian, Liao Xiuwu. Recommendation mechanism for patent trading empowered by heterogeneous information networks. International Journal of Electronic Commerce. 2019,23(2): 147-178 (SCI/SSCI) 

[22]Jia Kunhao, Liao Xiuwu, Feng Juan. selling or leasing? dynamic pricing of software with upgrades. European Journal of Operational Research, 2018,266(3):1044-1061.(SCI/SSCI)

[23] Liu Jiapeng, Liao Xiuwu, Huang Wei. A new decision-making approach for multiple criteria sorting with an imbalanced set of assignment examples. Europearn Journal of Operational Research, 2018,265(2):598-620.(SCI/SSCI)

[24] Liu Yang,Feng Juan,Liao Xiuwu.When online reviews meet sales volume information:is more or accurate information always beneficial ? Information Systems Research, 2017, 28 (4): 723-743 (国际顶级期刊, UTD24 ) (SSCI)

[25] Wang Qi, Ma Jian, Liao Xiuwu, Du Wei. A context-aware researcher recommendation system for university-industry collaboration on R &D projects. Decision Support Systems. 2017,103:46-57(SCI/SSCI/EI)

[26]Liang Qian, Liao Xiuwu, Liu Jiapeng. A social ties-based approach for group decision-making problems with incomplete additive preference relations. Knowledge-based Systems, 2017, 119:68-86. (SCI)

[27] Liu Jiapeng, Liao Xiuwu, Zhao Wenhong,Yang Na. A classification approach based on the outranking model for multiple criteria ABC analysis. Omega,  2016, 61:19-34. (SCI/SSCI/EI).

[28] Liu Jiapeng, Liao Xiuwu, Yang Jian-bo. A group decision-making approach based on evidential reasoning for multiple criteria sorting problem with uncertainty. European Journal of Operational Research, 2015, 246(3):858-873.  (SCI/SSCI/EI)

[29] Yang Na, Liao Xiuwu, Huang, Wayne Wei.Decision support for preference elicitation in multi-attribute electronic procurement auctions through an agent-based intermediary. Decision Support Systems, 2014, 57:127-138. (SCI/SSCI/EI)

[30]Yang Hai-Long, Liao Xiuwu, Wang Shouyang. Fuzzy probabilitic rough set model on two universes and its applications. International Journal of Approximate Reasoning, 2013, 54(9):1410-1420. (SCI)

[31] Cai Fuling, Liao Xiuwu, Wang Kanliang. An interactive sorting approach based on the assignment examples of multiple decision makers with different priorities. Annals of Operations Research. 2012, 197(1):87-108.(SCI)

[32] Xu Wei-Hua, Li Yuan, Liao xiuwu. Approaches to attribute reductions based on rough set and matrix computation in inconsistent ordered information systems. Knowledge-Based systems, 2012, 27:70-91.(SCI)

[33] Cai Fuling, Liao Xiuwu, Wang Kanliang. A progressive multiple criteria sorting approach based on additive utility functions considering imprecise information, International Journal of Innovation Computing, Information and Control. 2011, 5(B):1349-4198.(SCI/EI)

[34] Guo Haixiang, Liao Xiuwu, et al. Optimizing Reservior Features in oil exploration management based on funsion of soft computing. Applied Soft Computing, 2011, 11, 1144-1155.(SCI)

[35] Li Yuan, Liao Xiuwu.Decision support for risk analysis on dynamic alliance, Decision Support systems, 2007, 42(4):2043- 2059. (SCI/SSCI/EI)

[36] Li Yuan, Liao, Xiuwu, Hongzhen Lei, A knowledge management system for ERP implementation, Systems Research and Behavioral Science, 2006, 23:157-168.(SSCI)

[37] Liao Xiuwu, Li Yuan, Lu Bing.A model for selecting an ERP system based on linguistic information processing. Information Systems, 2007, 32(7): 1005-1017.(SCI/SSCI/EI)

[38] Li Yuan, Liao Xiuwu, Wenhong Zhao.A rough set approach to knowledge discovery in analyzing competitive advantages of firms, Annals of Operations Research, 2009, 168(1):205-223.(SCI)

[39] Cao huanhuan,Jiang Jin hu,Oh Lih-Bin, Li Hao, Liao Xiuwu, Chen Zhiwu. A Maslow's hierarchy of needs analysis of social networking services continue. Journal of Service Management, 2013, 24 (2):170-190.(SSCI)

[40]黄丽华,朱海林,刘伟华,窦一凡,王今朝,蔡莉,陈煜波,廖貅武,吴晓波,谢康,叶强,张兮,陈文波.企业数字化转型和管理：研究框架与展望, 管理科学学报，2021,24(8)

[41]杨娜,廖貅武,雷宏振.考虑属性关联的两阶段获胜者决策模型,中国管理科学,2019,27(10)

[42]贾坤浩,廖貅武.市场竞争环境下软件即服务提供商最优定价策略,系统管理学报,2019,28(2).

[43]刘莹,廖貅武.企业级专有软件应对开源软件的竞争策略,系统管理学报,2017,26(4).

[44]刘莹,廖貅武.开放源代码对软件厂商创新模式选择和研发投入的影响,科研管理,2018,39(7)

[45]朱宗乾,朱怡琼,廖貅武.基于Bayes判别的ERP实施中员工抵制风险评估模型,系统管理学报,2017,26(1).

[46]朱海,王洪峰,廖貅武.云环境下能耗优化的任务调度模型及虚拟机部署算法,系统工程理论与实践,2016,36(3).

[47]刘佳鹏,廖貅武.基于案例比较信息的多准则群决策分类方法,系统工程理论与实践,2014, 34(4).

[48]刘佳鹏,廖貅武.基于模糊偏好关系的多准则群决策分类方法,系统工程学报,2014,29(1).

[49]刘洋,廖貅武,刘莹.在线评论的双向口碑效应对软件和平台定价的影响,系统工程学报,2014, 29(4).

[50]刘洋,廖貅武.基于在线评分和网络效应的软件定价策略,管理科学,2013,26(4).

[51]李新明,廖貅武.基于SaaS模式的服务供应链协调研究,中国管理科学,2013,21(2).

[52]李新明,廖貅武.服务供应链视角下SaaS模式免费试用策略分析,运筹与管理,2013,22(5).

[53]张宗明,廖貅武.IT外包质量风险防范契约设计与分析,系统管理学报,2014,23(4).

[54]张宗明,廖貅武.需求不确定性下IT服务外包合同设计与分析,管理科学学报,2013,16(2).

[55]张宗明,刘树林,廖貅武.不完全测度下多目标IT外包关系契约激励机制,系统工程学报,2013,28(3).

[56]张宗明,刘树林,廖貅武.逆向选择下合作服务的最优契约配置,科研管理,2013,34(4).

[57]张宗明,廖貅武.软件服务供应链合同设计与协调策略.运筹与管理,2013.22(2).

[58]蔡付龄,廖貅武.案例信息不确定下的多属性分类方法,系统工程理论与实践, 2010,30(3).

[59]李新明,廖貅武.基于ASP模式的应用服务供应链协调分析,系统工程理论与实践,2011,31(8).

[60]蔡付龄,廖貅武.基于案例信息的多准则群决策分类方法,管理科学学报,2013,16(2).

[61]蔡付龄,廖貅武.离岸服务外包承接地的分类决策方法,系统管理学报,2011(5).

[62]解慧慧,廖貅武.基于质量的IT外包合同设计及分析,运筹与管理,2012.21(1).

[63]解慧慧,廖貅武.引入保险机制的IT外包合同设计及分析,系统工程学报,2011,20(5).

[64]杨娜,廖貅武.面向电子逆向拍卖的多属性报价建议模型,运筹与管理,2012,21(40).

[65]江旭,廖貅武,高山行.战略联盟中信任冲突与知识获取和企业绩效关系的实证研究.预测,2008,(6).

[66]万艳,廖貅武.基于监督和控制的IT外包关系管理的激励模型,运筹与管理,2008,(3).

[67]孙永风,廖貅武,李垣,转型背景下中国企业基于社会资本的知识管理研究,中国工业经济,2008,(3).

[68]卢兵,岳亮,廖貅武.企业通过联盟进行隐性知识转移的三阶段模型,管理工程学报,2008,(1).

[69]卢兵,廖貅武,岳亮.组织的知识转移分析.科研管理,2007,(6).

[70]廖貅武,张帆,董广茂不完全信息的一致性和冗余性问题的研究,系统工程理论与实践,2007,(10).

[71]廖貅武,李垣,董广茂.对方案有偏好的不完全信息下的决策分析模型,系统管理学报,2007,(2).

[72]梁建英,李垣,廖貅武.信号成本与服务外包供应商信号传递关系的博弈模型,中国管理科学,2007,(1).

[73]梁建英,李垣,廖貅武.影响医院联盟中知识转移成功的因素分析,预测,2007,(1).

[74]廖貅武,李垣,董广茂,一种处理语言评价信息的多属性群决策方法,系统工程理论与实践,2006,(9).

[75]廖貅武,李垣,雷宏振.确定多属性群决策协调权的模型和方法,管理科学学报,2006,(4).

[76]卢兵,岳亮,廖貅武.企业联盟中知识转移的影响因素分析—一个分析模型.预测,2006,(2).