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  • 张超
  • 最终学位:博士
  • 电子邮箱:czhang@sxu.edu.cn
  • 导师类型:博士生导师
  • 联系电话:0351-7010566
  • 所在院所:智能信息处理研究所
  • 研究方向:数据挖掘、粒计算、智能决策
  • 个人简介
  • 学术论文
  • 科研项目

张超,博士毕业于2138cn太阳集团古天乐系统工程专业、硕士毕业于香港大学电机电子工程专业。现为2138cn太阳集团古天乐智能信息处理研究所教授,博士生导师。研究方向为数据挖掘、粒计算、智能决策。山西省一流本科课程“数据科学导论”负责人。

近年来,先后主持国家自然科学基金面上项目、国家自然科学基金青年项目、中央引导地方科技发展资金项目、山西省重点研发计划等科研项目10余项,省级教改项目4项。在国际会议The ACM Web Conference,国际期刊IEEE Transactions on Consumer Electronics、IEEE Transactions on Computational Social Systems、IEEE Transactions on Knowledge and Data Engineering、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Fuzzy Systems、Information Fusion、International Journal of Approximate Reasoning,以及国内期刊《计算机研究与发展》、《控制与决策》等上发表学术论文100余篇,其中SCI期刊论文80余篇,主编专著2部,参编专著5部,获国家发明专利多项。获2024年度山西省科学技术奖(自然科学类)(排名第三),以第一完成人身份获山西省第十一次社会太阳集团优秀成果奖二等奖、山西省高等学校太阳集团优秀成果奖一等奖、“百部(篇)工程”一等奖、太原市自然科学优秀学术论文一等奖、中国粒计算与知识发现会议优秀学生论文奖、中国高校计算机教育大会优秀论文一等奖。博士学位论文获ACM中国理事会太原分会优秀博士论文。入选山西省“三晋英才”科技创新领域青年拔尖人才、山西省首批省级D类人才、山西省“三晋英才”支持计划青年优秀人才、山西省高等学校青年科研人员培育计划、山西省科技创新青年人才团队核心成员、2138cn太阳集团古天乐“文瀛青年学者”人才计划、2138cn太阳集团古天乐“优秀青年教师”,连续入选全球前2%顶尖科学家榜单。

中国人工智能学会粒计算与知识发现专委会委员、人工智能基础专委会委员。担任CCF B类期刊Information Processing & Management编委,CCF C类期刊Computational Intelligence副主编,EI期刊International Journal of Cognitive Computing in Engineering编委,《计算机工程》、《计算机科学与探索》、《数据采集与处理》、《工业工程》青年编委,《计算机工程》初审编辑。Applied Soft Computing年度“最佳审稿专家”,《计算机科学》年度“杰出审稿专家”。国家自然科学基金评审专家,国家社会科学基金评审专家,山西省工业和信息化厅、山西省商务厅、山西省科学技术厅评审专家。

积极引导学生参与科研实践,培养学生科研能力与创新能力。多次指导研究生获研究生国家奖学金、山西省研究生教育创新项目、优秀研究生、山西省优秀硕士学位论文。多次指导本科生参加国家级大学生创新创业训练计划等科研训练与学科竞赛,指导本科生以第一作者在中文核心及以上期刊发表论文10余篇,获第十九届“挑战杯”全国大学生课外学术科技作品竞赛“人工智能+”专项赛一等奖、第十五届中国大学生服务外包创新创业大赛一等奖等多个重要学科竞赛奖项。

张超教授更多信息请访问:

谷歌学术网站: https://scholar.google.com/citations?user=TPm3JMcAAAAJ

ORCID网站: https://orcid.org/0000-0001-6248-9962

[1] Bingjie Wang, Chao Zhang*, Wentao Li, Deyu Li. MF^3: Efficient multimodal federated learning with dual-path mamba-transformer for metro flow prediction. Proceedings of the ACM Web Conference, 2026, April 13-17, Dubai, United Arab Emirates, ACM, New York, NY, USA, doi: 10.1145/3774904.3792415

[2] Wenxia Chang, Chao Zhang*, Wentao Li, Deyu Li. MIGC-CMamba: Cross-domain mamba with multi-scale imaging and granular-ball computing for traffic flow prediction. Proceedings of the ACM Web Conference, 2026, April 13-17, Dubai, United Arab Emirates, ACM, New York, NY, USA, doi: 10.1145/3774904.3792359

[3] Anna Wang, Chao Zhang*, Arun Kumar Sangaiah, Deyu Li, Mohammed J. F. Alenazi, Majed Aborokbah. Leveraging dynamic trust semantics and behavioral cultural modeling for cooperative mental health monitoring group consensus: A social network evolution perspective. IEEE Transactions on Computational Social Systems, 2026, doi: 10.1109/TCSS.2026.3669595

[4] Chao Zhang*, Yating Wang, Weiping Ding, Wentao Li, Deyu Li. Balancing different objectives in multi-objective optimization consensus for social network large-scale group decision-making with unmanned aerial vehicle review filtering. Information Sciences, 2026, 732: 122945

[5] Chao Zhang*, Anna Wang, Jiahui Zhang, Wentao Li, Xingchen Hu. T-CT2CRP-SM: The exploration of dockless bike-sharing system rebalancing problems based on multi-modal signals in social networks. Signal Processing, 2026, 244: 110523

[6] Hanzhong Hou, Chao Zhang*, Deyu Li, Wentao Li. Game-theoretic multi-granularity consensus adjustment for social network group decision-making. International Journal of Approximate Reasoning, 2026, 190: 109610

[7] Rui Li, Chao Zhang*, Hamido Fujita, Wentao Li, Witold Pedrycz, Oscar Castillo. Three-way large-scale group decision-making under incomplete multi-scale information systems: A perspective of quantum social networks. Expert Systems with Applications, 2026, 298: 129666

[8] Wentao Li*, Chaojun Deng, Witold Pedrycz, Weiping Ding, Xingchen Hu, Chao Zhang, Tao Zhan*. Dominance-based feature selection approach to interval-valued ordered intuitionistic fuzzy data. Applied Soft Computing, 2026, 186: 114228

[9] Xinyu Liang, Chao Zhang*, Arun Kumar Sangaiah*, Turki Alghamdi, Majed Aborokbah. A holographic blockchain-enabled social group consensus method using graph convolutional networks with optimization-based sentiment analysis for IoT consumer electronics. IEEE Transactions on Consumer Electronics, 2025, 71(4): 11601-11612

[10] Chao Zhang, Xinyu Liang, Arun Kumar Sangaiah*, Deyu Li*. A conflict degree-guided quantum group consensus method based on graph convolutional networks with enhanced sentiment analysis for consumer electronics products. IEEE Transactions on Consumer Electronics, 2025, 71(2): 6787-6798

[11] Chao Zhang*, Wenxia Chang*, Arun Kumar Sangaiah*, Jaya Subalakshmi Ramamoorthi, Turki Alghamdi, Majed Aborokbah. Robust bi-level multi-scale group consensus: Integrating spatiotemporal online review influence analysis for portable consumer electronics in smart city tourism. IEEE Transactions on Consumer Electronics, 2025, 71(4): 11854-11866

[12] Rui Li, Chao Zhang*, Arun Kumar Sangaiah*, Jaya Subalakshmi Ramamoorthi, Turki Alghamdi, Majed Aborokbah. Generative artificial intelligence-guided quantum group consensus based on incentive behavioral optimization under multi-scale environments for consumer electronics in smart cities. IEEE Transactions on Consumer Electronics, 2025, doi: 10.1109/TCE.2025.3624313

[13] Rui Li, Chao Zhang*, Deyu Li, Wentao Li, Jianming Zhan. Improved evidential three-way decisions in incomplete multi-scale information systems. International Journal of Approximate Reasoning, 2025, 181: 109417

[14] Chao Zhang, Xiaochuan Li, Wenhui Bai*, Arun Kumar Sangaiah*, Deyu Li*. A stable intelligent model-based framework using graph convolutional networks and MULTIMOORA for clinical decision support systems. IEEE Transactions on Consumer Electronics, 2025, 71(1): 773-784

[15] Juanjuan Ding, Chao Zhang*, Deyu Li, Wentao Li, Jianming Zhan. A three-way large-scale group decision-making method integrating sentiment analysis and quantum interference-based prospect theory for the selection of new energy vehicles. Expert Systems with Applications, 2025, 275: 126940

[16] Chao Zhang, Huiwen Ye, Arun Kumar Sangaiah*, Wenhui Bai*, Turki Alghamdi, Majed Aborokbah. Urban digital twin in daily fire risk prediction: A group consensus model based on social network hybrid opinion dynamics using spatial-temporal satellite remote sensing data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18: 27905-27922

[17] Chao Zhang*, Yating Wang, Arun Kumar Sangaiah*, Mohammed J. F. Alenazi, Majed Aborokbah. An incomplete three-way consensus algorithm for unmanned aerial vehicle purchase using optimization-driven sentiment analysis. Future Generation Computer Systems, 2025, 168: 107761

[18] Chao Zhang*, Qifei Wen, Arun Kumar Sangaiah, Mohammed J. F. Alenazi, Majed Aborokbah. Managing consensus behaviors via sentiment analysis for GenAI-driven consumer services. IEEE Consumer Electronics Magazine, 2025, 14(5): 123-132

[19] Xiaoyi Zhang, Qi Liu*, Chao Zhang*, Jianming Zhan. New fuzzy rough set models based on implication operators. Computational and Applied Mathematics, 2025, 44(1): 125

[20] Wentao Li, Hamido Fujita, Chao Zhang*, Shunfeng Su. Editorial: Fuzzy big data-driven computational intelligence models and applications. International Journal of Fuzzy Systems, 2025, 27(2): 522-527

[21] Wentao Li, Bowen Yang, Witold Pedrycz, Chao Zhang, Tao Zhan*. Adaptive hyper-box granulation with justifiable granularity for feature selection. IEEE Transactions on Knowledge and Data Engineering, 2025, 37(12): 6847-6862

[22] Wentao Li, Lingwei Wei, Witold Pedrycz, Weiping Ding, Chao Zhang, Tao Zhan*, Shuyin Xia. Granular-ball regeneration clustering with principle of justifiable granularity. IEEE Transactions on Neural Networks and Learning Systems, 2025, 36(10): 18173-18187

[23] Tao Zhan, Wentao Li*, Chao Zhang, Yinghua Shen, Oscar Castillo. Enhancing stability and robust H∞ control in consumer electronics through discrete impulsive switched systems. IEEE Transactions on Consumer Electronics, 2025, 71(1): 154-164

[24] Feng Cao, Xiao Kong, Arun Kumar Sangaiah*, Deyu Li*, Yuhua Qian, Chao Zhang, Hexiang Bai. MCFS-UC: A novel mobile robot navigation feature selection method for optimal sensor readings in IIoT environments. IET Communications, 2025, 19(1): e12579

[25] Mingwei Cai, Jianming Zhan*, Chao Zhang, Qi Liu. Fusion k-means clustering and multi-head self-attention mechanism for a multivariate time prediction model with feature selection. International Journal of Machine Learning and Cybernetics, 2025, 16(12): 9979-9997

[26] Wentao Li*, Deyu Li, Huiyan Zhang, Chao Zhang, Peng Shi. Multigranulation-based double-quantitative rough sets for multi-source event-based decision systems. Transactions of the Institute of Measurement and Control, 2025, 47(13): 2676-2697

[27] Chao Zhang, Haonan Hou, Arun Kumar Sangaiah*, Deyu Li, Wentao Li. Enhancing high temperature prediction via six-fold strategy consensus-reaching processes: A case study using FY-3E spatio-temporal remote sensing satellite data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17: 16377-16391

[28] Juanjuan Ding, Chao Zhang*, Deyu Li*, Jianming Zhan, Wentao Li, Yiyu Yao. Three-way decisions in generalized intuitionistic fuzzy environments: Survey and challenges. Artificial Intelligence Review, 2024, 57(2): 38

[29] Chao Zhang, Qifei Wen, Deyu Li*, Arun Kumar Sangaiah*, Mingwei Lin. Intelligent evaluation system for new energy vehicles based on sentiment analysis: An MG-PL-3WD method. Engineering Applications of Artificial Intelligence, 2024, 133: 108485

[30] Chao Zhang, Jingjing Zhang, Arun Kumar Sangaiah*, Deyu Li*, Wentao Li. Evaluating edge artificial intelligence-driven supply chain management platforms using collaborative large-scale fuzzy information fusion. Applied Soft Computing, 2024, 159: 111686

[31] Wenhui Bai, Chao Zhang*, Yanhui Zhai*, Arun Kumar Sangaiah*. A robust incomplete large-scale group decision-making model for metaverse metro operations and maintenance. Applied Soft Computing, 2024, 156: 111472

[32] Chao Zhang*, Bingjie Wang, Wentao Li, Deyu Li. Incorporating artificial intelligence in detecting crop diseases: Agricultural decision-making based on group consensus model with MULTIMOORA and evidence theory. Crop Protection, 2024, 179: 106632

[33] Wenhui Bai, Chao Zhang*, Yanhui Zhai*, Arun Kumar Sangaiah*, Baoli Wang, Wentao Li. Cognitive analysis of medical decision-making: An extended MULTIMOORA-based multigranulation probabilistic model with evidential reasoning. Cognitive Computation, 2024, 16(6): 3149-3167

[34] Juanjuan Ding, Chao Zhang*, Deyu Li*, Arun Kumar Sangaiah*. Hyperautomation for air quality evaluations: A perspective of evidential three-way decision-making. Cognitive Computation, 2024, 16(5): 2437-2453

[35] Meihui Zhong, Mingwei Lin*, Chao Zhang*, Zeshui Xu. A survey on graph neural networks for intrusion detection systems: Methods, trends and challenges. Computers & Security, 2024, 141: 103821

[36] Lun Guo, Jianming Zhan*, Chao Zhang, Zeshui Xu. A large-scale group decision-making method fusing three-way clustering and regret theory under fuzzy preference relations. IEEE Transactions on Fuzzy Systems, 2024, 32(9): 4846-4860

[37] Yibin Xiao, Jianming Zhan*, Chao Zhang, Weizhi Wu. Three-way decision method within prospect theory via intuitionistic fuzzy numbers in multi-scale decision information systems. IEEE Transactions on Fuzzy Systems, 2024, 32(9): 4820-4834

[38] Tao Zhan, Wentao Li*, Chao Zhang. Discrete impulsive signal observer for fractional order control systems and its consumer electronic circuit application. IEEE Transactions on Consumer Electronics, 2024, 70(1): 3341-3348

[39] Yibin Xiao, Jianming Zhan*, Chao Zhang, Peide Liu. A sequential three-way decision-based group consensus method with regret theory under interval multi-scale decision information systems. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(2): 1670-1686

[40] Shaoxia Zhang*, Yanhui Zhai, Deyu Li, Chao Zhang. Learning multi-granularity decision implication in correlative data from a logical perspective. International Journal of Approximate Reasoning, 2024, 173: 109250

[41] Yu Wang, Jianming Zhan*, Chao Zhang, Muhammet Deveci*. Considering personalized individual semantics with ordinal and cardinal consensus reaching processes via three-way decision and regret theory. Applied Soft Computing, 2024, 162: 111851

[42] Haidong Zhang*, Jiaxin Song, Chao Zhang, Yanping He. Regret-based three-way decisions with set pair analysis in incomplete information systems. Information Sciences, 2024, 677: 120896

[43] Rongtao Zhang, Xueling Ma*, Chao Zhang, Weiping Ding, Jianming Zhan*. GA-FCFNN: A new forecasting method combining feature selection methods and feedforward neural networks using genetic algorithms. Information Sciences, 2024, 669: 120566

[44] Yibin Xiao, Jianming Zhan*, Chao Zhang, Peide Liu. A preference group consensus method with three-way decisions and regret theory under multi-scale information systems. Information Sciences, 2024, 660: 120126

[45] Yu Wang, Jianming Zhan*, Chao Zhang, Zeshui Xu. A group consensus model with prospect theory under probabilistic linguistic term sets. Information Sciences, 2024, 653: 119800

[46] Hong Chen, Mingwei Lin*, Jiaqi Liu, Hengshuo Yang, Chao Zhang, Zeshui Xu. NT-DPTC: A non-negative temporal dimension preserved tensor completion model for missing traffic data imputation. Information Sciences, 2024, 653: 119757

[47] Wentao Li, Chaojun Deng, Witold Pedrycz, Oscar Castillo, Chao Zhang, Tao Zhan*. Double-quantitative feature selection approach for multi-granularity ordered decision systems. IEEE Transactions on Artificial Intelligence, 2024, 5(5): 2385-2396

[48] Feng Cao*, Chang Liu, Deyu Li, Yuhua Qian, Chao Zhang, Hu Zhang. Local and global feature adaptive adjustment network for remote sensing image scene classification. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024: 5580-5584

[49] Chao Zhang, Juanjuan Ding, Jianming Zhan, Arun Kumar Sangaiah*, Deyu Li*. Fuzzy intelligence learning based on bounded rationality in IoMT systems: A case study in Parkinson’s disease. IEEE Transactions on Computational Social Systems, 2023, 10(4): 1607-1621

[50] Chao Zhang, Jingjing Zhang, Wentao Li*, Witold Pedrycz, Deyu Li*. A regret theory-based multi-granularity three-way decision model with incomplete T-spherical fuzzy information and its application in forest fire management. Applied Soft Computing, 2023, 145: 110539

[51] Juanjuan Ding, Chao Zhang*, Deyu Li*, Mingwei Lin. Three-way group decisions with evidential reasoning in incomplete hesitant fuzzy information systems for liver disease diagnosis. Applied Intelligence, 2023, 53(24): 29693-29712

[52] Wenjie Wang, Jianming Zhan*, Chao Zhang, Enrique Herrera-Viedma, Gang Kou. A regret-theory-based three-way decision method with a priori probability tolerance dominance relation in fuzzy incomplete information systems. Information Fusion, 2023, 89: 382-396

[53] Haoxiang Zhou, Wentao Li*, Chao Zhang, Tao Zhan. Dynamic maintenance of updating rough approximations in interval-valued ordered decision systems. Applied Intelligence, 2023, 53(19): 22161-22178

[54] Chao Zhang, Xiaochuan Li, Arun Kumar Sangaiah*, Wentao Li, Baoli Wang*, Feng Cao, Xuekui Shangguan*. Collaborative fuzzy linguistic learning to low-resource and robust decision system based on bounded rationality. ACM Transactions on Asian and Low-Resource Language Information Processing, 2023, doi: 10.1145/3592605

[55] Chao Zhang*, Haonan Hou, Arun Kumar Sangaiah*, Deyu Li, Feng Cao, Baoli Wang. Efficient mobile robot navigation based on federated learning and three-way decisions. International Conference on Neural Information Processing. Singapore: Springer Nature Singapore, 2023: 408-422

[56] Yu Wang, Jianming Zhan*, Chao Zhang. A three-way decision method based on prospect theory under probabilistic linguistic term sets. Information Sciences, 2023, 645: 119342

[57] Chenglong Zhu, Xueling Ma*, Chao Zhang, Weiping Ding, Jianming Zhan*. Information granules-based long-term forecasting of time series via BPNN under three-way decision framework. Information Sciences, 2023, 634: 696-715

[58] Chao Zhang*, Juanjuan Ding, Jianming Zhan, Deyu Li. Incomplete three-way multi-attribute group decision making based on adjustable multigranulation Pythagorean fuzzy probabilistic rough sets. International Journal of Approximate Reasoning, 2022, 147: 40-59

[59] Chao Zhang, Wenhui Bai, Deyu Li*, Jianming Zhan. Multiple attribute group decision making based on multigranulation probabilistic models, MULTIMOORA and TPOP in incomplete q-rung orthopair fuzzy information systems. International Journal of Approximate Reasoning, 2022, 143: 102-120

[60] Erliang Yao, Deyu Li*, Yanhui Zhai, Chao Zhang. Multi-label feature selection based on relative discernibility pair matrix. IEEE Transactions on Fuzzy Systems, 2022, 30(7): 2388-2401

[61] Xin Wen, Deyu Li*, Chao Zhang. A weighted ML-KNN based on discernibility of attributes to heterogeneous sample pairs. Information Processing & Management, 2022, 59: 103053

[62] Yanhui Zhai, Jianjun Qi, Deyu Li*, Chao Zhang, Weihua Xu. The structure theorem of three-way concept lattice. International Journal of Approximate Reasoning, 2022, 146: 157-173

[63] Xinru Han, Chao Zhang, Jianming Zhan*. A three-way decision method under probabilistic linguistic term sets and its application to Air Quality Index. Information Sciences, 2022, 617: 254-276

[64] Chao Zhang, Juanjuan Ding, Deyu Li*, Jianming Zhan. A novel multi-granularity three-way decision making approach in q-rung orthopair fuzzy information systems. International Journal of Approximate Reasoning, 2021, 138: 161-187

[65] Wenjie Wang, Jianming Zhan*, Chao Zhang. Three-way decisions based multi-attribute decision making with probabilistic dominance relations. Information Sciences, 2021, 559: 75-96

[66] Chao Zhang, Deyu Li*, Jiye Liang, Baoli Wang. MAGDM-oriented dual hesitant fuzzy multigranulation probabilistic models based on MULTIMOORA. International Journal of Machine Learning and Cybernetics, 2021, 12(5): 1219-1241

[67] Chao Zhang, Deyu Li*, Xiangping Kang, Dong Song, Arun Kumar Sangaiah, Said Broumi. Neutrosophic fusion of rough set theory: An overview. Computers in Industry, 2020, 115: 103117

[68] Chao Zhang, Deyu Li*, Jiye Liang. Interval-valued hesitant fuzzy multi-granularity three-way decisions in consensus processes with applications to multi-attribute group decision making. Information Sciences, 2020, 511: 192-211

[69] Chao Zhang, Deyu Li*, Jiye Liang. Multi-granularity three-way decisions with adjustable hesitant fuzzy linguistic multigranulation decision-theoretic rough sets over two universes. Information Sciences, 2020, 507: 665-683

[70] Chao Zhang, Deyu Li*, Yanhui Zhai, Yuanhao Yang. Multigranulation rough set model in hesitant fuzzy information systems and its application in person-job fit. International Journal of Machine Learning and Cybernetics, 2019, 10(4): 719-729

[71] Chao Zhang, Deyu Li*, Jiye Liang. Hesitant fuzzy linguistic rough set over two universes model and its applications. International Journal of Machine Learning and Cybernetics, 2018, 9(4): 577-588

[72] Chao Zhang, Deyu Li*, Yimin Mu, Dong Song. An interval-valued hesitant fuzzy multigranulation rough set over two universes model for steam turbine fault diagnosis. Applied Mathematical Modelling, 2017, 42: 693-704

[73] 张超*, 李德玉. 考虑关联性与优先关系的区间犹豫模糊图决策. 计算机研究与发展, 2019, 56(11): 2438-2447

[74] 张超, 李德玉*, 翟岩慧. 双论域上的犹豫模糊语言多粒度粗糙集及其应用. 控制与决策, 2017, 32(1): 105-110

[75] 张超*, 翟岩慧, 李德玉. 新工科背景下思政教育融入数据科学导论课程教学探索. 计算机教育, 2023(4): 108-112

[1] 国家自然科学基金面上项目: 面向群决策的多粒度融合建模理论与方法研究(项目编号: 62272284, 主持), 时间: 2023-2026

[2] 国家自然科学基金青年项目: 多属性群决策的多粒度三支建模理论与方法(项目编号: 61806116, 主持), 时间: 2019-2021

[3] 中央引导地方科技发展资金项目: 基于可调多粒度的三支大群体共识建模关键技术研究(项目编号: YDZJSX2024D015, 主持), 时间: 2024-2027

[4] 山西省科技合作交流专项: 基于量子多粒度群共识的可信数据空间隐私增强技术研究(主持), 时间: 2026-2028

[5] 山西省重点研发计划(国际科技合作)项目: 基于多粒度三支计算的山西转型综改商务智能技术研究(项目编号: 201903D421041, 主持), 时间: 2019-2022

[6] 山西省应用基础研究计划面上青年基金: 面向多属性群决策的多粒度三支建模研究(项目编号: 201801D221175, 主持), 时间: 2018-2020

[7] 山西省高等学校青年科研人员培育计划: (国际合作项目, 主持), 时间: 2019-2021

[8] 山西省高等学校优秀成果培育项目: Pythagorean Fuzzy Multigranulation Rough Set over Two Universes and Its Applications in Merger and Acquisition (项目编号: 2019SK036, 主持), 时间: 2019-2021

[9] 山西省研究生教育教学改革课题: 山西国际化研究生培养体系的构建与实践研究(项目编号: 2025JG024, 主持), 时间: 2025-2027

[10] 山西省高等学校教学改革创新项目: 面向新工科人才培养的数据科学导论课程教学改革路径研究(项目编号: J20240178, 主持), 时间: 2024-2026

[11] 山西省高等学校教学改革创新项目: 新工科背景下《数据科学导论》课程思政建设路径研究(项目编号: J20220061, 主持), 时间: 2022-2024

[12] 山西省研究生教育教学改革课题: 基于项目驱动的计算机学科研究生主动融入山西转型综改示范区建设路径研究(项目编号: 2021YJJG041, 主持), 时间: 2021-2023

[13] 山西省高等学校科技创新项目: 多属性群决策的多粒度决策粗糙集模型研究(项目编号: 201802014, 主持), 时间: 2018-2020

[14] 太行山西省实验室开放课题专项资金: 基于量子群共识的智慧政务隐私增强关键技术研究(项目编号: KFKT-25010500, 主持), 时间: 2026-2026

[15] 2138cn太阳集团古天乐-小店区产学研合作项目: 信创环境下智能信息匹配与知识发现技术研发及应用(项目编号: 202003S08, 主持), 时间: 2020-2022

[16] 山西省科技创新青年人才团队: 多粒度信创计算(项目编号: 202204051001015, 子课题负责人), 时间: 2022-2025

[17] 国家自然科学基金面上项目: 基于形式概念分析的关联数据知识表示与推理研究(项目编号: 62072294, 参与), 时间: 2021-2024

[18] 国家自然科学基金面上项目: 基于决策蕴涵的知识表示和推理研究(项目编号: 61972238, 参与), 时间: 2020-2023

[19] 国家自然科学基金面上项目: 基于标记概念监督的多标记粒计算理论与算法研究(项目编号: 61672331, 参与), 时间: 2017-2020

[20] 山西省基础研究计划(自由探索类)面上项目: 基于信息增强的多粒度可解释推荐技术研究(项目编号: 202403021221021, 参与), 时间: 2025-2027

[21] 山西省应用基础研究计划面上青年基金: 基于深度特征建模复杂降质因素的图像增强算法研究(项目编号: 201901D211176, 参与), 时间: 2019-2022

[22] 山西省筹资金资助回国留学人员科研项目: 基于多机协同与知识迁移的数据标注关键技术研究(项目编号: 2022-007, 参与), 时间: 2022-2025

[23] 山西省高等学校教学改革创新项目: 融入课程思政的软件工程课程教学改革研究与实践(项目编号: J20230035, 参与), 时间: 2023-2025

[24] 山西省高等学校教学改革创新项目: 新工科背景下基于PBL模式的数字图像处理课程教学优化探索(项目编号: J2021083, 参与), 时间: 2021-2023