刘胜全
发布者:     发布时间：2025-09-17    浏览次数：

刘胜全

教授、博士生导师

研究领域：智能信息处理，语义Web，计算机网络安全

计算机科学与技术国家一流专业负责人

办公室＆实验室：博达校区信息楼A333，信息楼A519

电子邮件：liu@xju.edu.cn

联系电话：(+86)0991-8582510

教育背景

  1. 1992.9-1995.6，北京交通大学，计算机应用，硕士

  2. 1982.9-1986.7，新疆大学，数学，学士

工作简历

  1. 2026.3—至今 计算机科学与技术学院教授

  2. 2018.6—2026.2 计算机科学与技术学院，副院长

  3. 2013.3-2018.6 网络与信息技术中心，副主任

  4. 2004.5-2013.2 现代教育技术中心 ，副主任

  5. 2000.6-2004.4 现代教育技术中心，网络部主任

  6. 1995.6-2000.5 计算机系，网络教研室主任

  7. 1986.9-1995.5 计算与数据中心，教师

社会工作

  1. 中国过程控制专委会委员

  2. 新疆网信办智库专家

  3. 新疆 “IT三会”委员

  4. 电气电子工程师学会（IEEE）会员

  5. 美国计算机学会（ACM）会员

研究内容

  1. 自然语言处理：偏向于纯文本信息抽取、多模态信息抽取

  2. 网络安全：偏向于工业互联网安全、网络安全态势感知

  3. 图像处理：农作物、农田目标识别与检测

  4. 智能决策与调度优化：农事生产决策和农机调度组合优化

主持项目

  1. 基于群体协同的智慧农场关键技术与智能装备研发, 新疆维吾尔自治区重大科技专项（项目编号：2022A02012），3200万，2022/12-2025/12，已结题

  2. 智能农事决策与调度管理系统，科技部项目-国家科技重大专项子课题（项目编号：SQ2022AAA010308），115万，2022/12-2025/11。

  3. 国家通用语言文字智能学习应用系统开发，自治区教育厅项目，（项目编号：202204120020），100万，2022/06-2023/06。

  4. 舆情本体概念间非分类关系抽取方法研究，国家自然科学基金项目（项目编号：61966034）， 38万，2020/01-2023/12。

  5. 面向***的话题发现与热点跟踪关键技术，新疆维吾尔自治区高校科研计划自然科学重点项目，（项目编号：XJEDU2019I004），10万，2019/08—2021/07。

  6. 可动态配置的RFID网络与下一代互联网的融合方法的研究，教育科研网国家网络中心创新项目，10万，2016/04-2018/03 。

  7. 基于动态演化的维文舆情本体研究，自治区自然科学基金项目，（项目编号：2014211A016）, 7万，2014/01-2016/12。

  8. 农村综合信息服务平台关键技术开发与示范子项目，自治区科技厅项目，（项目编号：200931103）， 20万，2009/10-2011/09。

  9. ECR通用型电子商务管理系统，自然科学横向课题，（项目编号：2002991201），20万，2002/04-2003/03。

奖励情况

  1. 农村远程教育及文化共享工程LINUX支撑平台研究与应用，新疆维吾尔自治区科技进步二等奖，排名第八，2010

  2. 中国农产品（电子商务）交易市场软件开发，新疆大学第七届自然科学优秀成果奖二等奖，排名第一，2005

学术成果

近五年发表论文

2026年

  1. Bo Kong, Liruiz Jia, Yi Liang, Chao Liu, Dongfang Han, Tianwei Yan, Yuan Liu, Shengquan Liu*，UG-UMRE: Uncertainty-Guided Modality Augmentation and Distributional Calibration for Unified Multimodal Relation Extraction[C]//34th ACM International Conference on Multimedia(ACM MM 2026). (CCF A类国际推荐会议)

  2. Jia, L., Liu, J., Kong, B., Liu, Y., & Liu, S*. UF-YOLO: Unified Feature Modeling for Robust Cotton Apical Bud Detection in Agricultural Videos[J]. Expert Systems with Applications, 2026: 133658.(中科院一区TOP，CCF C类国际推荐期刊)

  3. Nannan Liu; Shengquan Liu*; Kan Feng; Liruizhi Jia; Bo Kong. A classification method for winter wheat growth stages based on an improved version 8 of the you only look once[J]. Engineering Applications of Artificial Intelligence, 2026, 163: 113091.(中科院一区TOP，CCF C类国际推荐期刊)

  4. Kong B , Liu S* , Jia L ,et al.MINIGE-MNER: A multi-stage interaction network inspired by gene editing for multimodal named entity recognition[J].Neural Networks, 2026, 194(c):108106.(中科院二区TOP，CCF B类国际推荐期刊)

  5. Jia L, Kong B, Liu Y, Liu S*. Optimization of Large-Scale Grain Transport Vehicle Scheduling: A Fusion of Graph Isomorphism Networks and Adaptive Multi-Agent Policy[J]. Data Intelligence，2026.(中科院二区)

  6. Wenren Dong,Yuan Liu, Qin Zhang,Liruizhi Jia, Bo Kong,Shengquan Liu*, IrrigaReflex: A Feedback-Driven Closed-Loop Decision Method for Agricultural Irrigation[C]//2026 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML PKDD ).(CCF B类国际推荐会议)

  7. Qin Zhang,Shengquan Liu*,Wenren Dong,Bo Kong,Liruizhi Jia,Guangxin Yu, STSMNet: Regime-Aware Dual-Temporal Modeling with Stabilized Dynamic Graph Propagation for Multi-Step Soil Moisture Forecastin[C]//2026 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML PKDD).(CCF B类国际推荐会议)

  8. Yuqi Gao,liruizhi Jia,Qin Rao,Bo Kong,Yuan Liu,Shengquan Liu*.SSCA-Net: Spatial-Semantic Alignment for Farmland Remote Sensing Segmentation[C]//2026 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2026.(CCF B类国际推荐会议)

  9. Jia, L. , Bi, X. , Kong, B. , Liu, Y. , Feng, K. , & Liu, S*. SEGA-PointNet: A Semantic Enhancement and Global Aggregation Network for Maize Organ Segmentation from 3D Point Clouds[C]//2026 IEEE International Symposium on Circuits and Systems (ISCAS).(CCF B类国际推荐会议)

  10. Song, Z. , Kong, B. , Zhang, W. , Jia, L. , Huang, J. , Wang, H. & Liu, S*. Agri-Mix:Mutual Information-Guided Hierarchical Fusion for Agricultural Disease Multimodal Relation Extraction[C]//ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).(CCF B类国际推荐会议)

  11. Li, Y. , Jia, L. , Liu, C. , Kong, B. , Liu, Y. , & Liu, S*. IGCNET: Dual-Branch Implicit Feature and Global Context Network for Agricultural Parcel Delineation[C]//ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).(CCF B类国际推荐会议)

  12. Zhang, Q., Liu, S*., Dong, W., Kong, B., Jia, L., & Yu, G. A Hierarchical Multi-Agent Reinforcement Learning Method for Coordinated Irrigation Triggering and Irrigation Amount Decision-Making[C]//International Conference on Intelligent Computing(ICIC). Singapore: Springer Nature Singapore, 2026: 221-231.(CCF C类国际推荐会议)

  13. Liu, J., Jia, L., Hu, J., Kong, B., & Liu, S*. CTM-YOLO: Camouflage-Aware Temporal Memory YOLO[C]//International Conference on Intelligent Computing(ICIC). Singapore: Springer Nature Singapore, 2026: 264-274.(CCF C类国际推荐会议)

  14. Zhang, W., Kong, B., Song, Z., Jiang, S., Liu, Y., Jia, L., & Liu, S*. ESBR: Event-Conditioned Structured Boundary Reasoning for Overlapping Event Extraction[C]//International Conference on Intelligent Computing(ICIC). Singapore: Springer Nature Singapore, 2026: 106-117.(CCF C类国际推荐会议)

  15. Hu, J., Jia, I., Liu, I., Kong, O., Liu, U., & Liu, S*. MGG-YOLO: A Unified Multi-Scale and Edge-Aware Framework for Pest Detection in Complex Agricultural Scenes[C]//International Conference on Intelligent Computing(ICIC). Singapore: Springer Nature Singapore, 2026: 370-382.(CCF C类国际推荐会议)

  16. Jia, L. , Kang, X. , Zhang, X. , Kong, B. , Liu, Y. , & Liu, S*. Collaborative Multi-Task Scheduling of Agricultural Machinery Using Deep Reinforcement Learning[C]//2026 29th International Conference on Computer Supported Cooperative Work in Design (CSCWD).(CCF C类国际推荐会议)

  17. Zhang, X. , Jia, L. , Kang, X. , Kong, B. , Liu, Y. , & Liu, S*. TopoAttn-MultiAgent: A Deep Reinforcement Learning Approach for Optimizing Collaborative Agricultural Machinery Scheduling[C]//2026 29th International Conference on Computer Supported Cooperative Work in Design (CSCWD).(CCF C类国际推荐会议)

2025年

  1. Liruizhi Jia; Xiaoli Zhang; Bo Kong; Jiale Hu; Yutian Wu; Shengquan Liu*. SREM-Net: A Novel Leaf Disease Classification Model for Field Crops Based on Stylistic and Multiscale Feature Extraction[J]. Agronomy-Basel, 2025, 16(1): 58.(中科院二区)

  2. Fengshun Wei; Shengquan Liu*; Bo Kong; Liruizhi Jia; Shouhao Yu; Lu Wang. Cross-Domain Few-Shot Agricultural Pest and Disease Named Entity Recognition Based on a Pseudo-Label Filtering Self-Training Decomposition Framework[C],Data Intelligence，2025.(中科院二区)

  3. Chen Shao; Shengquan Liu*; Kan Feng; Nannan Liu; Bo Kong; Lirui Jia.Research on the Recognition Method for the Transitional Growth Stage in Winter Wheat[C],Data Intelligence，2025.(中科院二区)

  4. Bo Kong; Liruizhi Jia; Shengquan Liu*; Dongfang Han. ZS-HPDG: Hybrid Prompt-Tuning and Generation Data for Better Zero-Shot Relation Extraction[C],Data Intelligence，2025.(中科院二区)

  5. Wenren Dong; Yuan Liu; Qin Zhang; Liruizhi Jia; Bo Kong; Shengquan Liu*. ZS-HPDG: Hybrid Prompt-Tuning and Generation Data for Better Zero-Shot Relation Extraction[C],Data Intelligence，2025.(中科院二区)

  6. Jia L, Zhang Q, Liu S*, et al. Multi-station agricultural machinery scheduling based on spatiotemporal clustering and learnable multi-objective evolutionary algorithm[J]. AgriEngineering, 2025, 7(6): 197.(中科院三区)

  7. Yu S , Liu S* , Jiang S ,et al.ME-CWNER: Multi-metadata Embedding Based Chinese Named Entity Recognition for Wheat Diseases and Pests[C]//International Conference on Intelligent Computing(ICIC).Springer, Singapore, 2025.(CCF C类国际推荐会议)

  8. Jia L , Liu S *, Kong B ,et al.REIA: Entity Relation Extraction Based on Interaction Policy and Data Augmentation[C]//2025 International Joint Conference on Neural Networks (IJCNN).(CCF C类国际推荐会议)

  9. Liu B , Jia L , Liu S* ,et al.DCHAS: Dual-Channel Heterogeneous Agent System for Optimizing Agricultural Irrigation Decisions[C]//2025 IEEE International Symposium on Circuits and Systems (ISCAS).(CCF C类国际推荐会议)

2024年

  1. Kong B, Liu S*, He L, et al. CSMA-CNER: Multi-modal Chinese NER task with Cross-and Self-Modality Attention[C]//2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2024: 1-6.(CCF B类国际推荐会议)

  2. Zhang C, Jia L, Liu S*, et al. Dynamic job allocation method of multiple agricultural machinery cooperation based on improved ant colony algorithm[J]. Scientific reports, 2024, 14(1): 22414.(中科院二区)

  3. Zhang J, Liu S*, Liu Z. Attribution classification method of APT malware based on multi-feature fusion[J]. PLoS One, 2024, 19(6): e0304066.(中科院三区)

  4. Dou G , Jia L , Liu S*,et al.Farmland Segmentation and Multiple Agricultural Machines Cooperative Scheduling Method Under Sudden Disasters[J].2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2024:3745-3750.(CCF C类国际推荐会议)

  5. Li L , Jia L , Liu S* ,et al.Multi-task Scheduling of Multiple Agricultural Machinery via Reinforcement Learning and Genetic Algorithm[C]//International Conference on Intelligent Computing(ICIC).Springer, Singapore, 2024.(CCF C类国际推荐会议)

  6. Liu Z , Liu S* , Zhang J .An Intrusion Detection Method for Industrial Internet Fusing Multi-Scale TCN and Transformer Network[C]//International Conference on Intelligent Computing(ICIC).Springer, Singapore, 2024.(CCF C类国际推荐会议)

  7. Jian Z , Liu S* , Yin H .A Multi-granularity Contrastive Learning for Distantly Supervised Relation Extraction[C]//International Conference on Intelligent Computing(ICIC).Springer, Singapore, 2024.(CCF C类国际推荐会议)

  8. Jian Z , Liu S* , Gao W ,et al.Distantly Supervised Relation Extraction based on Non-taxonomic Relation and Self-Optimization[J].2024 International Joint Conference on Neural Networks (IJCNN), 2024:1-9.(CCF C类国际推荐会议)

  9. Liu Z , Liu S* , Zhang J .An Industrial Intrusion Detection Method Based on Hybrid Convolutional Neural Networks with Improved TCN[J].Computers, Materials & Continua, 2024, 78(1).(中科院四区)

  10. Kong L , Liu S* .REACT: Relation Extraction Method Based on Entity Attention Network and Cascade Binary Tagging Framework[J].Applied Sciences (2076-3417), 2024, 14(7).(中科院四区)

  11. Zhang Z , Liu S* , Jian Z ,et al.Research on Chinese Named Entity Recognition Based on Lexical Information and Spatial Features[J].Applied Sciences (2076-3417), 2024, 14(6).(中科院四区)

  12. Yue L , Liu S* , Zhao M ,et al.Research on Distant Supervision Relation Extraction based on Attention Graph Enhancement and Dynamic Loss[J].Proceedings of the International Conference on Modeling, Natural Language Processing and Machine Learning, 2024:139-146. EI

  13. Zhang J, Liu S*, Liu Z. Research on APT Malware Detection Based on BERT-Transformer-TextCNN Modeling[C]//proceedings of the 2024 international conference on generative artificial intelligence and information security ( GAIIS). 2024: 235-242. EI

  14. 赵明,刘胜全*,岳柳.基于SENT改进的远程监督关系抽取方法[J].现代电子技术,2024,47(16):51-57. (中文核心)

  15. 刘胜全*,刘博.基于深度强化学习的工业网络入侵检测研究[J].东北师大学报(自然科学版),2024,56(1):80-86.(中文核心)

  16. 马前, 刘胜全, 刘艳, 郑明明, 解舒淇 . 基于注意力的 VAE-ConvLSTM 模型的剩余寿命预测研究[J]. 控制工程, 2024, 31(3): 545-552.(中文核心)

2023年

  1. Yin H, Liu S*, Jian Z. Distantly supervised relation extraction via contextual information interaction and relation embeddings[J]. Symmetry, 2023, 15(9): 1788.(中科院三区)

  2. Sun W, Liu S*, Liu Y, et al. Information extraction network based on multi-granularity attention and multi-scale self-learning[J]. Sensors, 2023, 23(9): 4250.(中科院三区)

  3. Cheng H, Liu S*, Sun W, et al. A neural topic modeling study integrating SBERT and data augmentation[J]. Applied Sciences, 2023, 13(7): 4595.(中科院四区)

  4. Zhang Z, Liu S*, Cheng J. Exploring prompts in few-shot cross-linguistic topic classification scenarios[J]. Applied Sciences, 2023, 13(17): 9944.(中科院四区)

  5. Sun W, Liu S*, Liu Y, et al. Named Entity Recognition Networks Based on Syntactically Constrained Attention[J]. Applied Sciences, 2023, 13(6): 3993.(中科院四区)

  6. 郑明明,刘胜全*,马前.基于可变形卷积融合双注意力机制的缺陷检测方法[J].东北师大学报(自然科学版),2023,55(2):52-61.(中文核心)

  7. 杨雳,刘胜全*,贾李睿智,等.基于融合LDA与双层CNN的文本分类研究[J].电子测量技术,2023,46(7):1-6.(中文核心)

  8. 贾李睿智,刘胜全*,刘源,等.基于分层ERNIE模型的中文嵌套命名实体识别[J].东北师大学报(自然科学版),2023,55(1):97-103.(中文核心)

2022年

  1. Guangyao Wang,Shengquan Liu*,Fuyuan Wei.Weighted graph convolution over dependency trees for nontaxonomic relation extraction on public opinion information，APPLIED INTELLIGENCE，JUL 2023.SCI.(中科院二区)

  2. LINGXIN WANG,SHENGQUAN LIU*,LONGYE QIAO,WEIWEI SUN, QI SUN, AND HUAQING CHENG.A Cross-Lingual Sentence Similarity Calculation Method With Multifeature Fusion,IEEE Access，Vol.10,30666-30675,2022.(中科院三区)

  3. 刘源,刘胜全*,刘艳.基于多任务联合学习的入侵检测方法,东北师大学报·自然科学版,2022,54(1),72-78(中文核心)

  4. 刘源,刘胜全*,常超义,孙伟智.基于依存图卷积的实体关系抽取模型，现代电子技术，2022,45(13):111-117.(中文核心)

专利

  1. 新疆大学. 一种基于多粒度对比学习的远程监督关系抽取方法:CN118643160B[P]. 2026-07-03.

  2. 新疆大学. 一种SDN的物联网异构网络通信设备及数据传递方法:CN 113114494 B[P]. 2024-03-01.