百晓学者学者目录

朱庆生

重庆大学计算机学院

个人简介

朱庆生，重庆大学计算机学院教授，现任重庆计算机学会理事长。研究方向包括计算机软件及计算机应用、轻工业手工业、天文学。代表性成果有基于自然邻居的标记分布学习、2米环形太阳望远镜研制进展、一种启发式确定聚类数方法等。

精选作品

期刊论文

  1. Hao-Tian Cao, Qingsheng Zhu (2026). Attention and Mamba Based Iterative Registration Network for Low-Overlap and Large-Scale Point Cloud. Computers, Materials & Continua.DOI
  2. Haotian Cao, Yong Bi, Qingsheng Zhu (2026). Real-time antenna deformation monitoring simulation system of submillimeter-wave telescope via two-stage point cloud registration network. Journal of Instrumentation.DOI
  3. Weiqi Hu, Qingsheng Zhu (2026). Hybrid Rack–Machine-Learning Pointing Correction for a 1-m Robotic Telescope. Astronomical Techniques and Instruments.DOI
  4. 景有鲜，朱庆生（2024）. 基于关键点密度优化的ORB算法. 《计算机科学》.
  5. 王焱，杨永兴，李金鹏，毕勇，朱庆生（2024）. 大型太阳望远镜镜面视宁度的实验研究. 《红外与激光工程》.
  6. 周明强，代开浪，吴全旺，朱庆生（2023）. 异构信息网络的注意力感知多通道图卷积评分预测模型. 《计算机科学》.
  7. 朱苏州，朱庆生，徐伟（2023）. 基于C#的船舶光学载荷参数测试系统设计. 《舰船科学技术》.
  8. 张景源，陈北北，杨永兴，朱庆生，李金鹏，赵金标（2023）. 融合遗传算法和BP神经网络的光斑定位方法. 《中国光学(中英文)》.
  9. 朱庆生（2023）. Java程序设计. 《清华大学出版社》.
  10. Junnan Li, Qingsheng Zhu (2023). OALDPC: oversampling approach based on local density peaks clustering for imbalanced classification. Applied intelligence (Boston).DOI
  11. Junnan Li, Mingqiang Zhou, Qingsheng Zhu, Quanwang Wu (2022). A framework based on local cores and synthetic examples generation for self-labeled semi-supervised classification. Pattern Recognition.DOI
  12. Hong Ling Xie, Qiao Tang, Qingsheng Zhu (2022). A Multiplier Bootstrap Approach to Designing Robust Algorithms for Contextual Bandits. IEEE Transactions on Neural Networks and Learning Systems.DOI
  13. Jiangmei Luo, Qingsheng Zhu, Junnan Li, Dongdong Cheng, Mingqiang Zhou (2022). A Novel Clustering Algorithm with Dynamic Boundary Extraction Strategy Based on Local Gravitation. Lecture notes in computer science.DOI
  14. 胡晓炜，朱庆生（2021）. 机架模型下指向误差数据的筛选与分析. Astronomical Techniques and Instruments.DOI
  15. 亢超，李文祥，黄屾，管恒睿，赵金标，朱庆生（2021）. 基于深度学习的主动光学校正算法研究. 《光学学报》.
  16. Jinxin Shi, Qingsheng Zhu, Junnan Li (2021). A novel hierarchical clustering algorithm with merging strategy based on shared subordinates. Applied Intelligence.DOI
  17. Mingze Zhong, Hong Ling Xie, Qingsheng Zhu (2021). Quantifying Assimilate-Contrast Effects in Online Rating Systems.DOI
  18. Jinxin Shi, Qingsheng Zhu, Junnan Li, Ji Liu, Dongdong Cheng (2021). Hierarchical Clustering Based on Local Cores and Sharing Concept. IEEE Annual Computers, Software, and Applications Conference (COMPSAC).DOI
  19. Qiao Tang, Hong Ling Xie, Yunni Xia, Jia Lee, Qingsheng Zhu (2021). Robust Contextual Bandits via Bootstrapping. Proceedings of the AAAI Conference on Artificial Intelligence.DOI
  20. Junnan Li, Qingsheng Zhu, Quanwang Wu, Zhiyong Zhang, Yanlu Gong, Ziqing He, Fan Zhu (2021). SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution. Knowledge-Based Systems.DOI
  21. Junnan Li, Qingsheng Zhu, Quanwang Wu, Zhu Fan (2021). A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors. Information Sciences.DOI
  22. Zhiyong Zhang, Qingsheng Zhu, Fan Zhu, Junnan Li, Dong-Dong Cheng, Yi Liu, Jiangmei Luo (2021). Density decay graph-based density peak clustering. Knowledge-Based Systems.DOI
  23. 胡晓炜，朱庆生，沙孝鸣，周小军，毕勇，郑锋华，武帅，吴承志（2020）. 应用于人卫激光测距光尖图像处理方法研究. 《激光与红外》.
  24. 姚成亮，朱庆生（2020）. 基于自然邻居的标记分布学习. 《计算机科学》.
  25. Renmin Wang, Qingsheng Zhu, Jiangmei Luo, Fan Zhu (2020). Local dynamic neighborhood based outlier detection approach and its framework for large-scale datasets. Egyptian Informatics Journal.DOI
  26. Junnan Li, Qingsheng Zhu, Quanwang Wu, Dongdong Cheng (2020). An effective framework based on local cores for self-labeled semi-supervised classification. Knowledge-Based Systems.DOI
  27. Junnan Li, Qingsheng Zhu, Quanwang Wu (2020). A parameter-free hybrid instance selection algorithm based on local sets with natural neighbors. Applied Intelligence.DOI
  28. Meng Yuan, Qingsheng Zhu (2020). Spectral Clustering Algorithm Based on Fast Search of Natural Neighbors. IEEE Access.DOI
  29. Mingqiang Zhou, Dandan Liu, Yan-Hui Zheng, Qingsheng Zhu, Ping Guo (2020). A text sentiment classification model using double word embedding methods. Multimedia tools and applications.DOI
  30. Junnan Li, Qingsheng Zhu (2020). A boosting Self-Training Framework based on Instance Generation with Natural Neighbors for K Nearest Neighbor. Applied intelligence (Boston).DOI
  31. 朱庆生（2019）. 2米环形太阳望远镜研制进展. 《中国天文学会2019年学术年会摘要集》.DOI
  32. 孙光灵，朱庆生，李茜茹（2019）. 建筑工地高分辨率无人机全景图像关键帧选取与拼接. 《巢湖学院学报》.
  33. 史佳昕，朱庆生（2019）. 基于共享自然近邻的自适应谱聚类算法. 《数智技术研究与应用》.
  34. Renmin Wang, Qingsheng Zhu (2019). LSOF: Novel Outlier Detection Approach Based on Local Structure. IEEE International Conference on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom).DOI
  35. Junnan Li, Qingsheng Zhu, Quanwang Wu (2019). A self-training method based on density peaks and an extended parameter-free local noise filter for k nearest neighbor. Knowledge-Based Systems.DOI
  36. Dongdong Cheng, Qingsheng Zhu, Jinlong Huang, Quanwang Wu, Lijun Yang (2019). Clustering with Local Density Peaks-Based Minimum Spanning Tree. IEEE Transactions on Knowledge and Data Engineering.DOI
  37. Quanwang Wu, MengChu Zhou, Qingsheng Zhu, Yunni Xia, Junhao Wen (2019). MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows. IEEE Transactions on Automation Science and Engineering.DOI
  38. Lijun Yang, Qingsheng Zhu, Jinlong Huang, Quanwang Wu, Dongdong Cheng, Xiaolu Hong (2019). Constraint nearest neighbor for instance reduction. Soft Computing.DOI
  39. Ahmed Mateen, Qingsheng Zhu, S. Afsar (2019). Record keeping system of bugs for software quality assurance.
  40. Renmin Wang, Qingsheng Zhu (2019). Density Peaks Clustering Based on Local Minimal Spanning Tree. IEEE Access.DOI
  41. Ahmed Mateen, Qingsheng Zhu, S. Afsar, Javaria Maqsood (2019). An Improved Technique for Data Retrieval in Distributed Systems.
  42. Junnan Li, Qingsheng Zhu (2019). Semi-Supervised Self-Training Method Based on an Optimum-Path Forest. IEEE Access.DOI
  43. Shi-Qi Ye, Qingsheng Zhu (2019). DBSCAN Clustering Algorithm Based on Locality Sensitive Hashing. Journal of Physics, Conference Series.DOI
  44. Ahmed Mateen, Qingsheng Zhu, S. Afsar, Akmal Rehan, Imran Mumtaz, W. Ahmad (2019). ACCESS CONTROL MODEL FOR DATA STORED ON CLOUD COMPUTING.
  45. Ahmed Mateen, Qingsheng Zhu, S. Afsar (2019). ENHANCING PRODUCTIVITY OF CLOUD APPLICATIONS IN CLUSTER COMPUTI NG.
  46. 卢建云，朱庆生，吴全旺（2018）. 一种启发式确定聚类数方法. 《小型微型计算机系统》.
  47. Ahmed Mateen, Qingsheng Zhu, Salman Afsar (2018). Comparitive Analysis of Manual vs Automotive Testing for Software Quality.DOI
  48. Ahmed Mateen, Qingsheng Zhu, Salman Afsar, Warda Rashid (2018). Optimization of Fog Computing Based Radio Access Networks.DOI
  49. Dongdong Cheng, Qingsheng Zhu, Jinlong Huang, Quanwang Wu, Lijun Yang (2018). A Novel Cluster Validity Index Based on Local Cores. IEEE Transactions on Neural Networks and Learning Systems.DOI
  50. Ji Feng, Yan Wei, Qingsheng Zhu (2018). Natural neighborhood-based classification algorithm without parameter k. Big Data Mining and Analytics.DOI
  51. Renyu Liu, Qingsheng Zhu (2018). A Network Anomaly Detection Algorithm based on Natural Neighborhood Graph.DOI
  52. Lijun Yang, Qingsheng Zhu, Jinlong Huang, Dongdong Cheng, Quanwang Wu, Xiaolu Hong (2018). Natural neighborhood graph-based instance reduction algorithm without parameters. Applied Soft Computing.DOI
  53. Jianyun Lu, Qingsheng Zhu, Quanwang Wu (2018). A novel data clustering algorithm using heuristic rules based on k -nearest neighbors chain. Engineering Applications of Artificial Intelligence.DOI
  54. Yuandou Wang, Jiajia Jiang, Yunni Xia, Quanwang Wu, Xin Luo, Qingsheng Zhu (2018). A Multi-stage Dynamic Game-Theoretic Approach for Multi-Workflow Scheduling on Heterogeneous Virtual Machines from Multiple Infrastructure-as-a-Service Clouds. Lecture notes in computer science.DOI
  55. Ahmed Mateen, Qingsheng Zhu, S. Afsar, Muhammad Usman (2018). IoT and Wireless Sensor Network Monitoring for Campus Security.DOI
  56. Weiling Li, Yunni Xia, Mengchu Zhou, Xiaoning Sun, Qingsheng Zhu (2018). Fluctuation-Aware and Predictive Workflow Scheduling in Cost-Effective Infrastructure-as-a-Service Clouds. IEEE Access.DOI
  57. Dong-Dong Cheng, Qingsheng Zhu, Jin-Long Huang, Quanwang Wu, Li-Jun Yang (2018). A hierarchical clustering algorithm based on noise removal. International Journal of Machine Learning and Cybernetics.DOI
  58. Dong-Dong Cheng, Qingsheng Zhu, Jin-Long Huang, Quanwang Wu, Li-Jun Yang (2018). A local cores-based hierarchical clustering algorithm for data sets with complex structures. Neural computing & applications (Print).DOI
  59. Ahmed Mateen, Qingsheng Zhu, Ahmad Bilal (2018). Optimized Approach for Secure Data Sharing in Distributed Database.
  60. Ahmed Mateen, Qingsheng Zhu, F. Shahzad (2018). Requirement Engineering and Software Product Line Scoping Paradigm.
  61. 朱庆生（2017）. 1m口径人卫激光测距望远镜. 《中国天文学会2017年学术年会》.
  62. Ji Feng, Cheng Zhang, Qingsheng Zhu（2017）. 一种具有动态邻域特点的自适应最近邻居算法 (Adaptive Nearest Neighbor Algorithm with Dynamic Neighborhood). 《计算机科学》.DOI
  63. Qingsheng Zhu, Langjun Duan, Li-Jun Yang（2017）. 基于自然邻居和最小生成树的原型选择算法 (Prototype Selection Algorithm Based on Natural Neighbor and MST). 《计算机科学》.DOI
  64. Quanwang Wu, Fuyuki Ishikawa, Qingsheng Zhu, Yunni Xia, Junhao Wen (2017). Deadline-Constrained Cost Optimization Approaches for Workflow Scheduling in Clouds. IEEE Transactions on Parallel and Distributed Systems.DOI
  65. Mingqiang Zhou, Rongchen Liu, Xin Yu Zhao, Qingsheng Zhu (2017). Link prediction algorithm based on local centrality of common neighbor nodes using multi-attribute ranking. International Conference on Computer Science and Education.DOI
  66. Wanbo Zheng, Yuandou Wang, Yunni Xia, Quanwang Wu, Lei Wu, Kunyin Guo, Weiling Li, Xin Luo, Qingsheng Zhu (2017). On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds. International Journal of Distributed Sensor Networks.DOI
  67. Quanwang Wu, MengChu Zhou, Qingsheng Zhu, Yunni Xia (2017). VCG Auction-Based Dynamic Pricing for Multigranularity Service Composition. IEEE Transactions on Automation Science and Engineering.DOI
  68. Xin Luo, MengChu Zhou, Shuai Li, Yunni Xia, Zhu‐Hong You, Qingsheng Zhu, HARETON K. N. LEUNG (2017). Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data. IEEE Transactions on Cybernetics.DOI
  69. Dongdong Cheng, Qingsheng Zhu, Jinlong Huang, Lijun Yang, Quanwang Wu (2017). Natural neighbor-based clustering algorithm with local representatives. Knowledge-Based Systems.DOI
  70. Jinlong Huang, Qingsheng Zhu, Lijun Yang, Dongdong Cheng, Quanwang Wu (2017). QCC: a novel clustering algorithm based on Quasi-Cluster Centers. Machine Learning.DOI
  71. Jinlong Huang, Qingsheng Zhu, Lijun Yang, Dongdong Cheng, Quanwang Wu (2017). A novel outlier cluster detection algorithm without top-n parameter. Knowledge-Based Systems.DOI
  72. Jianyun Lu, Qingsheng Zhu (2017). An Effective Algorithm Based on Density Clustering Framework. IEEE Access.DOI
  73. Wanbo Zheng, MengChu Zhou, Lei Wu, Yunni Xia, Xin Luo, Shanchen Pang, Qingsheng Zhu, Yanqing Wu (2017). Percentile Performance Estimation of Unreliable IaaS Clouds and Their Cost-Optimal Capacity Decision. IEEE Access.DOI
  74. Li-Jun Yang, Qingsheng Zhu, Jin-Long Huang, Dong-Dong Cheng（2017）. 適応編集された固有近傍アルゴリズム【Powered by NICT】.
  75. Dong-Dong Cheng, Qingsheng Zhu, Jin-Long Huang, Li-Jun Yang, Quanwang Wu（2017）. 地域の代表を用いた自然近傍ベースクラスタリングアルゴリズム【Powered by NICT】.
  76. Jin-Long Huang, Qingsheng Zhu, Li-Jun Yang, Dong-Dong Cheng, Quanwang Wu（2017）. 上位nパラメータのない新規な異常値クラスタ検出アルゴリズム【Powered by NICT】.
  77. 朱庆生，陈治，张程（2016）. 基于自然邻居流形排序图像检索技术研究. 《计算机应用研究》.
  78. Lijun Yang, Qingsheng Zhu, Jinlong Huang, Dongdong Cheng (2016). Adaptive edited natural neighbor algorithm. Neurocomputing.DOI
  79. Quanwang Wu, Fuyuki Ishikawa, Qingsheng Zhu, Yunni Xia (2016). Energy and Migration Cost-Aware Dynamic Virtual Machine Consolidation in Heterogeneous Cloud Datacenters. IEEE Transactions on Services Computing.DOI
  80. Lijun Yang, Qingsheng Zhu, Jinlong Huang, Dongdong Cheng, Cheng Zhang (2016). Natural Neighbor Reduction Algorithm for Instance-based Learning. International Journal of Cognitive Informatics and Natural Intelligence.DOI
  81. Qingsheng Zhu, Zhi Chen, Cheng Zhang (2016). Manifold-ranking Based Image Retrieval Using Natural Neighbor. International Journal of Database Theory and Application.DOI
  82. Xin Luo, MengChu Zhou, Zidong Wang, Yunni Xia, Qingsheng Zhu (2016). An Effective Scheme for QoS Estimation via Alternating Direction Method-Based Matrix Factorization. IEEE Transactions on Services Computing.DOI
  83. Lijun Yang, Qingsheng Zhu, Jinlong Huang, Dongdong Cheng (2016). An efficient reduction algorithm based on natural neighbor and nearest enemy. IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).DOI
  84. Qingsheng Zhu, Ji Feng, Jinlong Huang (2016). Weighted natural neighborhood graph: an adaptive structure for clustering and outlier detection with no neighborhood parameter. Cluster Computing.DOI
  85. Dongdong Cheng, Qingsheng Zhu, Jinlong Huang, Lijun Yang (2016). Natural neighbor-based clustering algorithm with density peeks.DOI
  86. Qingsheng Zhu, Qi Fang (2016). A Semi-supervised Intrusion Detection Algorithm Based on Natural Neighbor.DOI
  87. Qingsheng Zhu, Ji Feng, Jinlong Huang (2016). Natural neighbor: A self-adaptive neighborhood method without parameter K. Pattern Recognition Letters.DOI
  88. Quanwang Wu, Fuyuki Ishikawa, Qingsheng Zhu, Dong-Hoon Shin (2016). QoS-Aware Multigranularity Service Composition: Modeling and Optimization. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
  89. Jin-Long Huang, Qingsheng Zhu, Li-Jun Yang, Dongdong Chen (2016). QCC: A novel cluster algorithm based on Quasi-Cluster Centers. International Conference on Software Engineering and Knowledge Engineering.DOI
  90. Ji Feng, Qingsheng Zhu, Jin-Long Huang, Li-Jun Yang (2016). Extend natural neighbor: a novel classification method with self-adaptive neighborhood parameters in different stages. arXiv.org.
  91. 朱庆生，唐汇，冯骥（2015）. Delaunay三角剖分在离群点检测中的应用. 《计算机工程与应用》.
  92. Qingsheng Zhu, Dongdong Cheng, Jinlong Huang (2015). A Hierarchical Clustering Algorithm Based on Saturated Neighbor Graph. International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration (ICIICII).DOI
  93. Xing Jian, Qingsheng Zhu, Yunni Xia (2015). An interval-based fuzzy ranking approach for QoS uncertainty-aware service composition. Optik.DOI
  94. Jinlong Huang, Qingsheng Zhu, Lijun Yang, Ji Feng (2015). A non-parameter outlier detection algorithm based on Natural Neighbor. Knowledge-Based Systems.DOI
  95. Xin Luo, Yunni Xia, Qingsheng Zhu, MengChu Zhou (2015). A Hessian-Free Optimization-Based Approach to Latent-Factor-Based QoS Predictors with High Accuracy. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics.DOI
  96. Xin Luo, MengChu Zhou, Shuai Li, Yunni Xia, Zhu‐Hong You, Qingsheng Zhu, HARETON K. N. LEUNG (2015). An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems. IEEE Transactions on Industrial Informatics.DOI
  97. Xin Luo, MengChu Zhou, Shuai Li, Zhu‐Hong You, Yunni Xia, Qingsheng Zhu (2015). A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method. IEEE Transactions on Neural Networks and Learning Systems.DOI
  98. Xin Luo, MengChu Zhou, Yunni Xia, Qingsheng Zhu, Ahmed Chiheb Ammari, Ahmed Alabdulwahab (2015). Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models. IEEE Transactions on Neural Networks and Learning Systems.DOI
  99. Xin Luo, Zhu‐Hong You, MengChu Zhou, Shuai Li, HARETON K. N. LEUNG, Yunni Xia, Qingsheng Zhu (2015). A Highly Efficient Approach to Protein Interactome Mapping Based on Collaborative Filtering Framework. Scientific Reports.DOI
  100. Jiaqiang Wan, Qingsheng Zhu, Dajiang Lei, Jiaxi Lu (2015). Outlier detection based on transitive closure. Intelligent Data Analysis.DOI
  101. Yunni Xia, Mengchu Zhou, Xin Luo, Shanchen Pang, Qingsheng Zhu (2015). Stochastic Modeling and Performance Analysis of Migration-Enabled and Error-Prone Clouds. IEEE Transactions on Industrial Informatics.DOI
  102. Yunni Xia, Gang Zhou, Xin Luo, Ke Yu, Qingsheng Zhu (2015). Method, device and system for backup of cloud data central task.
  103. Yunni Xia, Kun-Yin Guo, Xin Luo, Ke Yu, Qingsheng Zhu (2015). Cloud data center host inspection point setting method, device and system.
  104. Yunni Xia, Mengchu Zhou, Xin Luo, Qingsheng Zhu, Jia Li, Yu Huang (2015). Stochastic Modeling and Quality Evaluation of Infrastructure-as-a-Service Clouds. IEEE Transactions on Automation Science and Engineering.DOI
  105. Qingsheng Zhu, Y. Zhang, Huijun Liu (2015). Classification Algorithm Based on Natural Nearest Neighbor.DOI
  106. Qingwen Han, Yingxiang Zhu, Lingqiu Zeng, Lei Ye, Xueying He, Xiao-Ying Liu, Haotian Wu, Qingsheng Zhu (2015). A Road Hotspots Identification Method Based on Natural Nearest Neighbor Clustering. IEEE International Conference on Intelligent Transportation Systems.DOI
  107. Yunni Xia, Mengchu Zhou, Xin Luo, Shanchen Pang, Qingsheng Zhu (2015). A Stochastic Approach to Analysis of Energy-Aware DVS-Enabled Cloud Datacenters. IEEE Transactions on Systems, Man & Cybernetics. Systems.DOI
  108. 朱庆生，蒋天弘，周明强（2014）. 基于自然最近邻居的社团检测算法. 《计算机应用研究》.
  109. 朱庆生，唐汇，冯骥（2014）. 一种基于自然最近邻的离群检测算法. 《计算机科学》.
  110. Xin Luo, MengChu Zhou, HARETON K. N. LEUNG, Yunni Xia, Qingsheng Zhu, Zhu‐Hong You, Shuai Li (2014). An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering. IEEE Transactions on Automation Science and Engineering.DOI
  111. Qingsheng Zhu, Xiaogang Fan, Ji Feng (2014). Outlier detection based on k-neighborhood MST. IEEE International Conference on Information Reuse and Integration (IRI).DOI
  112. Quanwang Wu, Qingsheng Zhu, Xing Jian, Fuyuki Ishikawa (2014). Broker-based SLA-aware composite service provisioning. Journal of Systems and Software.DOI
  113. Jia Lee, Susumu Adachi, Yunni Xia, Qingsheng Zhu (2014). Emergence of universal global behavior from reversible local transitions in asynchronous systems. Information Sciences.DOI
  114. Xin Luo, MengChu Zhou, Yunni Xia, Qingsheng Zhu (2014). Predicting web service QoS via matrix-factorization-based collaborative filtering under non-negativity constraint. Wireless and Optical Communication Conference (WOCC).DOI
  115. Yunni Xia, Jingjing Lv, MengChu Zhou, Qingsheng Zhu, Xin Luo (2014). A time series and reduction based model for QoS prediction of service ontologies. IEEE International Conference on Networking, Sensing and Control (ICNSC).DOI
  116. Xin Luo, MengChu Zhou, Yunni Xia, Qingsheng Zhu (2014). An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems. IEEE Transactions on Industrial Informatics.DOI
  117. Quanwang Wu, Qingsheng Zhu, Xing Jian (2014). A robust decentralized reputation management system for service selection. Optik.DOI
  118. Jia Li, Xin Luo, Yunni Xia, Yakai Han, Qingsheng Zhu (2014). A time series and reduction‐based model for modeling and QoS prediction of service compositions. Concurrency and Computation Practice and Experience.DOI
  119. Qingsheng Zhu, Yanxia Wang, Huijun Liu (2014). Corner Detection Based on Eigenvalues product of Covariance Matrices over Edges.
  120. Qingsheng Zhu, Sulan Zhang, Lingqiu Zeng, Ji Liu (2014). Multi-Resolution Foliage Faithful to the Visual and Botanic Concepts.DOI
  121. Xiao-Feng Huang, Xin Luo, Qingsheng Zhu (2014). A Parallelization Improvement on the Regularized Matrix Factorization Based Collaborative Filtering: A Parallelization Improvement on the Regularized Matrix Factorization Based Collaborative Filtering.DOI
  122. Dong Wang, Qingsheng Zhu, Yi Xia (2014). Real-time Multiresolution Rendering for Dynamic Terrain. Journal of Software.DOI
  123. Sulan Zhang, Qingsheng Zhu, Ji Liu, Lingqiu Zeng (2014). Geometry Generation with L-Systems on Graphics Processing Units.DOI
  124. Song-Yang Li, Hong-Quan Qu, Qingsheng Zhu, Ji Liu, Lingqiu Zeng (2014). Model Virtual Plant Response to Water Deficits.DOI
  125. Qingsheng Zhu, Ying Zhang (2014). A clustering algorithm based on natural nearest neighbor.
  126. Quanwang Wu, Qingsheng Zhu, Peng Li (2013). A neural network based reputation bootstrapping approach for service selection. Enterprise Information Systems.DOI
  127. Xin Luo, Yunni Xia, Qingsheng Zhu, Yi Li (2013). Boosting the K-Nearest-Neighborhood based incremental collaborative filtering. Knowledge-Based Systems.DOI
  128. Yunni Xia, Xin Luo, Jia Li, Qingsheng Zhu (2013). A Petri-Net-Based Approach to Reliability Determination of Ontology-Based Service Compositions. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
  129. Yunni Xia, MengChu Zhou, Xin Luo, Qingsheng Zhu (2013). A comprehensive QoS determination model for Infrastructure-as-a-Service clouds. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE).DOI
  130. Quanwang Wu, Qingsheng Zhu, Mingqiang Zhou (2013). A correlation-driven optimal service selection approach for virtual enterprise establishment. Journal of Intelligent Manufacturing.DOI
  131. Yunni Xia, Jian Ding, Xin Luo, Qingsheng Zhu (2013). Dependability Prediction of WS-BPEL Service Compositions Using Petri Net and Time Series Models. IEEE International Symposium on Service-Oriented System Engineering (SOSE).DOI
  132. Yunni Xia, Xiang Zhang, Xin Luo, Qingsheng Zhu (2013). Modelling of Ontology-based Service Compositions using Petri Net. Elektronika ir Elektrotechnika.DOI
  133. Xin Huang, Jia Lee, Ruilong Yang, Qingsheng Zhu (2013). SIMPLE AND FLEXIBLE SELF-REPRODUCING STRUCTURES IN ASYNCHRONOUS CELLULAR AUTOMATA AND THEIR DYNAMICS. International Journal of Modern Physics C.DOI
  134. Quanwang Wu, Qingsheng Zhu, Xing Jian (2013). QoS-Aware Multi-granularity Service Composition Based on Generalized Component Services. Lecture notes in computer science.DOI
  135. Qingsheng Zhu, Song-Yang Li, Ji Liu, Lingqiu Zeng (2013). Using L-Systems for Simulating Virtual Plant Plasticity Related to Water Status.DOI
  136. Sulan Zhang, Qingsheng Zhu, Ji Liu, Lingqiu Zeng (2013). Parallel Interpretation of L-system Based on CUDA ⋆.
  137. Xin Huang, Qingsheng Zhu (2013). Self-Reproduction of Worms in Asynchronous Cellular Automata. Journal of Software.DOI
  138. 孙天昊，邓俊昆，陈飞，朱庆生（2012）. 基于增强学习协商策略的研究及优化. 《计算机工程与应用》.
  139. 葛垚，朱庆生，周明强（2012）. 用复方向滤波器组和BlockShrink方法实现图像去噪. 《重庆大学学报》.
  140. 朱庆生，孟贵超，葛垚（2012）. 基于增量主成份分析的在线视频镜头边界检测. 《计算机工程与科学》.
  141. Quanwang Wu, Qingsheng Zhu (2012). Transactional and QoS-aware dynamic service composition based on ant colony optimization. Future Generation Computer Systems.DOI
  142. Liang Ge, Junduo Yang, Qingsheng Zhu, Qiang Chen, Kang Lv, Qianqian Wang, Jie Pei, Xin Luo (2012). Cloud Backup Scheduling Algorithm Based on Cloud State Table and Cloud Resources Table. Web Information Systems and Applications Conference (WISA).DOI
  143. Xin Luo, Yunni Xia, Qingsheng Zhu (2012). Applying the learning rate adaptation to the matrix factorization based collaborative filtering. Knowledge-Based Systems.DOI
  144. Quanwang Wu, Qingsheng Zhu, Peng Li (2012). A Caching Mechanism for QoS-aware Service Composition. Journal of Web Engineering.
  145. Jie Caiming, Huijun Liu, Qingsheng Zhu (2012). Square symmetric neighborhood based local outlier detection algorithm. Jisuanji yingyong yanjiu.
  146. Qingsheng Zhu (2012). Analysis algorithm for cluster-based outlier. Jisuanji yingyong yanjiu.
  147. Qingsheng Zhu (2012). Research on reinforcement learning negotiation strategy and its optimization. Computer Engineering and Applications Journal.
  148. Qingsheng Zhu (2012). Credit-based repeated game model applied in transfer decision of opportunistic network. Journal of PLA University of Science and Technology.
  149. Jia Lee, Qingsheng Zhu (2012). A Direct Proof of Turing Universality of Delay-Insensitive Circuits. International Journal of Unconventional Computing.
  150. Gang Dai, Yunni Xia, Qingsheng Zhu (2012). A Sequential pattern based QoS prediction method for web service.DOI
  151. Song-Yang Li, Qingsheng Zhu, Ji Liu, Lingqiu Zeng (2012). Model Root System Growth Based on L -System Considering Hydrotropism.DOI
  152. 孙天昊，陈飞，朱庆生，曹峰（2011）. 基于贝叶斯分类的增强学习协商策略. 《计算机科学》.
  153. 朱庆生，郭明伟，屈洪春，黄启中（2011）. 生理过程模糊神经推理的虚拟植物. 《重庆大学学报》.
  154. 周明强，朱庆生，刘慧君，张程（2011）. 一种语义熵的社区划分模型及其应用研究. 《计算机科学》.
  155. Zou Xian-lin, Qingsheng Zhu (2011). An Automatic and Adaptive Multi-manifolds Learning Algorithm. International Journal of Digital Content Technology and its Applications.DOI
  156. Xin Luo, Huijun Liu, Gaopeng Gou, Yunni Xia, Qingsheng Zhu (2011). A parallel matrix factorization based recommender by alternating stochastic gradient decent. Engineering Applications of Artificial Intelligence.DOI
  157. Jia Lee, Katsunobu Imai, Qingsheng Zhu (2011). Fluctuation-driven computing on number-conserving cellular automata. Information Sciences.DOI
  158. Yunni Xia, Yi Liu, Ji Liu, Qingsheng Zhu (2011). Modeling and Performance Evaluation of BPEL Processes: A Stochastic-Petri-Net-Based Approach. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.DOI
  159. Xin Luo, Yunni Xia, Qingsheng Zhu (2011). Incremental Collaborative Filtering recommender based on Regularized Matrix Factorization. Knowledge-Based Systems.DOI
  160. Yunni Xia, Gang Dai, Fangfang Tang, Qingsheng Zhu (2011). A Stochastic-Petri-Net-Based Model for Ontology-Based Service Compositions.DOI
  161. Jun Chen, Qingsheng Zhu (2011). Modeling entities in interaction dataset for anomaly detection and explanation. IEEE International Conference on Communication Software and Networks.DOI
  162. Zou Xian-lin, Qingsheng Zhu, Jin Yi-fu (2011). An Adaptive Neighborhood Graph for LLE Algorithm without Free-Parameter. International Journal of Computer Applications.DOI
  163. Yunni Xia, Gang Dai, Jia Li, Tianhao Sun, Qingsheng Zhu (2011). A model‐driven approach to predicting dependability of WS‐CDL based service composition. Concurrency and Computation Practice and Experience.DOI
  164. Zou Xian-lin, Qingsheng Zhu (2011). Adaptive Neighborhood Graph for LTSA Learning Algorithm without FreeParameter. International Journal of Computer Applications.DOI
  165. Zou Xian-lin, Qingsheng Zhu (2011). Abnormal Structure in Regular Data Revealed by Isomap with Natural Nearest Neighbor. Communications in computer and information science.DOI
  166. Xian-Lin Zou, Qingsheng Zhu, Rui Long Yang (2011). Natural Nearest Neighbor for Isomap Algorithm without Free-Parameter.DOI
  167. Rui-Long Yang, Hong-Tao Xie, Qingsheng Zhu (2011). Sentence-based Suffix Tree Clustering for Web Documents.DOI
  168. Ping Gu, Feng Zhang, Qingsheng Zhu, Haibo Liu (2011). Hierarchical Document Classification based on Concept and Context.DOI
  169. Jia Lee, Xin Huang, Qingsheng Zhu (2011). Embedding Simple Reversed-Twin Elements into Self-Timed Reversible Cellular Automata.DOI
  170. Dajiang Lei, Qingsheng Zhu, Peng Yang, Yi-Fu Jin, Jun Chen, Hai-Zhuo Lin (2011). An Outlying Paraphrase Subspace Search Algorithm for Outlier Detection.DOI
  171. Ping Gu, Qingsheng Zhu, Haibo Liu, Feng Zhang (2011). Hierarchical Model Exploiting Context and Semantic Relationship for Document Classification.DOI
  172. Peng Yang, Qingsheng Zhu, Biao Huang (2011). Spectral clustering with density sensitive similarity function. Knowledge-Based Systems.DOI
  173. Hong-Tao Xie, Qingsheng Zhu, Hongchun Qu, Rui-Long Yang (2011). User-based Collaborative Recommendation Filtering Algorithm Using Extremely Valued Ratings.DOI
  174. Xin Luo, Qingsheng Zhu (2011). Cost-Sensitive Ensemble via Adaptive Weighted Cost Proportionate Sampling.DOI
  175. Rui-Long Yang, Qingsheng Zhu, Yunni Xia (2011). A Novel Weighted Phrase-Based Similarity for Web Documents Clustering. Journal of Software.DOI
  176. Tian-Hao Sun, Jun Deng, Qingsheng Zhu, Feng Cao (2011). Reinforcement learning negotiation strategy based on opponent classification. International Conference on Computer Science and Service System.DOI
  177. Qingsheng Zhu, Quanwang Wu, Gang Dai, Mingqiang Zhou (2011). An Approach for Transactional QoS-driven Service Composition.
  178. Ji Liu, Sulan Zhang, Lingqiu Zeng, Qingsheng Zhu, Song-Yang Li (2011). CUDA based Parallel Derivation of Parametric L-system.DOI
  179. 张程，朱庆生，陈自郁，刘慧君（2010）. 基于移动自组网的服务发现体系结构设计. 《计算机科学》.
  180. 朱庆生，罗大江，葛亮，刘金凤（2010）. 基于多幅图像的三维重建. 《计算机工程与设计》.
  181. 古平，朱庆生，曾一，付鹤岗（2010）. 面向过程的软件工程课程质量辅助评价与控制研究. 《计算机教育》.DOI
  182. 周明强，王冬，李双庆，胡军，朱庆生（2010）. 点强度优先的UDDI超级节点部署策略. 《计算机科学》.
  183. 朱庆生，许允催，曾令秋，方凡，吕中华（2010）. 基于L系统和三维Morphing的器官生长建模. 《计算机工程》.
  184. Peng Yang, Qingsheng Zhu (2010). Finding key attribute subset in dataset for outlier detection. Knowledge-Based Systems.DOI
  185. Shi-Chang Li, Qingsheng Zhu, Zhe Yan, Yang Hao-lan (2010). Ant colony optimization for nonlinear AVO inversion of network traffic allocation optimization. Expert Systems with Applications.DOI
  186. Shi-Chang Li, Yang Hao-Lan, Qingsheng Zhu (2010). Research on MANET Security Architecture Design. International Conference on Signal Acquisition and Processing.DOI
  187. Qingsheng Zhu (2010). Strategy of UDDI Superpeer Configuration Based on Vertex Weight Priority.
  188. Hongchun Qu, Qingsheng Zhu, H. Fu, Lingqiu Zeng, Mingwei Guo, Zhonghua Lu (2010). Automatic L-System Discovery for Virtual Plants by Branching Pattern Analysis of Unfoliaged Trees.DOI
  189. Peng Yang, Qingsheng Zhu (2010). Finding Key Knowledge Attribute Subspace of Outliers for High Dimensional Dataset. J. Convergence Inf. Technol..DOI
  190. Lingqiu Zeng, Hongchun Qu, Qingsheng Zhu, You-Lan Wang (2010). Incorporating Graph Automata into Plant Growth Simulation with Nutrients Transport. J. Digit. Content Technol. its Appl..DOI
  191. Rui-Long Yang, Qingsheng Zhu, Yunni Xia (2010). Weighted Suffix Tree Document Model for Web Documents Clustering.
  192. Jia Lee, Xin Huang, Qingsheng Zhu (2010). Decomposing Fredkin Gate into Simple Reversible Elements with Memory. J. Digit. Content Technol. its Appl..DOI
  193. Yuxiang Dong, Yunni Xia, Tian-Hao Sun, Qingsheng Zhu (2010). Modeling and performance evaluation of service choreography based on stochastic Petri net. Journal of Computers.DOI
  194. Qingsheng Zhu, Yanxia Wang, Huijun Liu (2010). Edges Extraction Method based on Fractal and Wavelet. Journal of Computers.DOI
  195. Qingsheng Zhu, Yanxia Wang, Huijun Liu (2010). Auto-Corner Detection Based on the Eigenvalues Product of Covariance Matrices over Multi-Regions of Support. Journal of Software.DOI
  196. 林文龙，刘业政，朱庆生，奚冬芹（2009）. 基于混合隐Markov链浏览模型的WEB用户聚类与个性化推荐. 《情报学报》, Vol. 28, No. 4.下载原文
  197. 葛亮，朱庆生，傅思思（2009）. 基于LBP/C纹理分析的立体匹配算法. 《计算机应用》.
  198. 朱庆生，曾令秋，屈洪春，刘骥（2009）. 基于粒子群算法的B样条曲线拟合. 《计算机科学》.
  199. 朱征宇，李力沛，罗颖，周智，朱庆生（2009）. 一种应用于中文文本聚类的适应值函数. 《计算机科学》.
  200. 朱庆生，胡章平，刘然，许小艳（2009）. 立体图像对的极线校正. 《计算机工程与设计》.
  201. 朱庆生，杨世泉，柳锋（2009）. 基于图像边缘摘要的快速模板匹配. 《计算机应用研究》.
  202. Cheng Zhang, Ziyu Chen, Qingsheng Zhu, Huijun Liu (2009). A Novel Clustering Framework for Web Service in MANET. Web Information Systems and Applications Conference (WISA).DOI
  203. Peng Yang, Qingsheng Zhu, Xun Zhong (2009). Subtractive Clustering Based RBF Neural Network Model for Outlier Detection. Journal of Computers.DOI
  204. Yuxiang Dong, Yunni Xia, Qingsheng Zhu, Yu Huang (2009). A Stochastic Approach to Predict Performance of Web Service Composition. International Symposium on Electronic Commerce and Security.DOI
  205. Qingsheng Zhu (2009). Fitness Function Applied to Chinese Text Clustering.
  206. Long Jiang, Shiquan Yang, M. Zhou, Xiao-Hua Liu, Qingsheng Zhu (2009). Mining Bilingual Data from the Web with Adaptively Learnt Patterns. Annual Meeting of the Association for Computational Linguistics.DOI
  207. Hongchun Qu, Qingsheng Zhu (2009). Automatic Approaches to Plant Meristem States Revelation and Branching Pattern Extraction: A Review.DOI
  208. Yun-Feng Li, Yu-kun Cao, Qingsheng Zhu (2009). The extraction method of leaf image based on the active contours.
  209. Yuxiang Dong, Yunni Xia, Qingsheng Zhu, Rui-Long Yang (2009). A Stochastic Approach to Predicting Performance of Web Service Composition. Journal of Computers.DOI
  210. 刘大鹏，朱庆生（2008）. 对话语音中实时说话人检测的研究. 《小型微型计算机系统》.
  211. 金义富，朱庆生（2008）. 常规挖掘算法在离群数据检测中的应用. 《计算机工程与应用》.
  212. 孙天昊，朱庆生，李双庆，周明强（2008）. 一种优化的基于增强学习协商策略. 《计算机工程与应用》.
  213. 朱庆生，张敏，柳锋（2008）. 基于HMAX特征的层次式柑桔溃疡病识别方法. 《计算机科学》.
  214. Ping Gu, Qingsheng Zhu, Cheng Zhang (2008). A multi-view approach to semi-supervised document classification with incremental Naive Bayes. Computers & Mathematics with Applications.DOI
  215. Yunni Xia, Qingsheng Zhu, Yu Huang, Zizhen Wang (2008). A novel reduction approach to analyzing QoS of workflow processes. Concurrency and Computation Practice and Experience.DOI
  216. Qingsheng Zhu (2008). Real-time Speaker Detection in Conversational Speech. Journal of Chinese Computer Systems.
  217. Qingsheng Zhu, Mingwei Guo, Hongchun Qu, Qing-Qing Deng (2008). Intelligent Growth Automaton of Virtual plant Based on Physiological Engine. Conference on Control Technology and Applications.DOI
  218. 孙天昊，朱庆生，李双庆（2007）. 一种基于等效置换的协商策略. 《重庆大学学报》.
  219. 何希平，朱庆生（2007）. 基于混沌的图像小波域加密算法. 《计算机应用》.
  220. 朱庆生，支丽欧，刘然，许小艳，谢洪涛，谢洪波，杨旸（2007）. 平面图像立体化关键技术研究. 《计算机科学》.
  221. 金义富，朱庆生，邢永康（2007）. 一种基于关键域子空间的离群数据聚类算法. 《计算机研究与发展》.
  222. 朱庆生，叶飞（2007）. 改进的L系统植物建模方法. 《计算机工程与设计》.
  223. 孙天昊，朱庆生，李双庆（2007）. 一对多协商协调策略. 《计算机工程与应用》.
  224. Tianhao Sun, Qingsheng Zhu, Shuangqing Li, Mingqiang Zhou (2007). Open, Dynamic and Continuous One-to-Many Negotiation System. International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).DOI
  225. Min Zhang, Qingsheng Zhu, Feng Liu (2007). SceBoost Learning Algorithm for Feature Selection. International Conference on Natural Computation (ICNC).DOI
  226. Ping Gu, Qingsheng Zhu, Cheng Zhang (2007). A Multi-view Approach to Semi-supervised Document Classification with Incremental Naïve Bayes. International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).DOI
  227. Qingsheng Zhu (2007). Chaos-based algorithm for image encryption in wavelet domain. Journal of Computer Applications.
  228. Lingqiu Zeng, Qingsheng Zhu, Ji Liu (2007). Algorithm of Vein Surface of 3D Reconstruction for Ultrasonic Cervix Image. International Conference on Computing, Networking and Communications.DOI
  229. Yi-Fu Jin, Qingsheng Zhu, Yong-Kang Xing (2007). An Algorithm for Clustering of Outliers Based on Key Attribute Subspace.DOI
  230. Hongchun Qu, Qingsheng Zhu, Qing-Qing Deng, Lingqiu Zeng, Liang Ge (2007). Modelling and Constructing of Intelligent Physiological Engine Merging Artificial Life for Virtual Plants.DOI
  231. 金义富，朱庆生，邹咸林（2006）. 基于遗传算法的α-离群约简搜索算法. 《计算机科学》.
  232. 张晓芸，朱庆生（2006）. 基于KL变换的模糊C-均值聚类彩色图像分割. 《计算机科学》.
  233. 李云峰，朱庆生，古平，胡海清（2006）. 一种基于图像的植物器官重建. 《计算机工程与应用》.
  234. 龚小勇，朱庆生（2006）. 基于网格技术的企业应用集成框架的设计与实现. 《计算机应用研究》.
  235. 曾哲，朱庆生（2006）. 异步Web服务及其在.NET中的实现. 《计算机工程与设计》.
  236. 古平，朱庆生（2006）. 一种可并行的贝叶斯集合在线学习算法. 《计算机科学》.
  237. Tianhao Sun, Shuangqing Li, Qingsheng Zhu (2006). An Optimized Strategy of Service Negotiation. IEEE International Symposium on Service-Oriented System Engineering (SOSE).DOI
  238. Zhengyu Zhu, Xinghuan Chen, Qingsheng Zhu, Qihong Xie (2006). A GA-based query optimization method for web information retrieval. Applied Mathematics and Computation.DOI
  239. Qingsheng Zhu, Liang Ge (2006). A Changeable Data Structure Model for Dynamic e-Business Applications.DOI
  240. Xiping He, Qingsheng Zhu, Ping Gu (2006). A New Chaos-Based Encryption Method for Color Image. Lecture notes in computer science.DOI
  241. Xiping He, Qingsheng Zhu (2006). A Robust Wavelet-Domain Watermarking Algorithm for Color Image. International Conference on Machine Learning and Cybernetics.DOI
  242. Jin Yi-fu, Qingsheng Zhu, Yongkang Xing (2006). An Exceptional Reduction Algorithm for Outliers Analyzing in High-Dimension Space. World Congress on Intelligent Control and Automation.DOI
  243. Ping Gu, Qingsheng Zhu, Xiping He (2006). Concept Based Text Classification Using Labeled and Unlabeled Data. Lecture notes in computer science.DOI
  244. Yi-Fu Jin, Qingsheng Zhu (2006). Grey Interpolation Reasoning Approach for Missing Value in Series Data.
  245. 朱庆生，邹景华（2005）. 基于本体论的论文检索. 《计算机科学》.
  246. 朱庆生，葛亮（2005）. 新一代Web应用框架JSF. 《计算机科学》.
  247. 朱庆生，邹景华，张江（2005）. 基于动态网站的语义数据挖掘模型研究. 《计算机工程与应用》.
  248. Qingsheng Zhu, Yunfeng Li, Xiping He (2005). A NEURAL NETWORK-BASED COLOR DOCUMENT SEGMENTATION APPROACH.DOI
  249. Ping Gu, Qingsheng Zhu, Yunfeng Li (2005). AN ERROR-DRIVEN LEARNING ALGORITHM FOR BAYESIAN NETWORK CLASSIFIERS.DOI
  250. Xiaoyun Zhang, Qingsheng Zhu, Liang GE (2005). FUZZY C-CLUSTERING BASED ON KL TRANSFORMING FOR COLOR IMAGE SEGMENTATION.DOI
  251. Yunfeng Li, Qingsheng Zhu, Yukun Cao (2005). A Request Dispatching Policy for Web Server Cluster. IEEE International Conference on e-Technology, e-Commerce and e-Service.DOI
  252. Yunfeng Li, Yukun Cao, Qingsheng Zhu, Zhengyu Zhu (2005). A Novel Framework for Web Page Classification Using Two-Stage Neural Network. Lecture notes in computer science.DOI
  253. Zhengyu Zhu, Qihong Xie, Xinghuan Chen, Qingsheng Zhu (2005). A Web Personalized Service Based on Dual GAs. Lecture notes in computer science.DOI
  254. Yun-Feng Li, Qingsheng Zhu, Yu-kun Cao, Chengliang Wang (2005). A Leaf Vein Extraction Method Based On Snakes Technique. International Conference on Neural Networks and Brain.DOI
  255. Xi-Ping He, Qingsheng Zhu (2005). A Speedy Simulation Method of Naturally Burning Flame.
  256. Xi-Ping He, Qingsheng Zhu (2005). Simulation Algorithms of Water Wave Caused by Moving Body.
  257. 陈飞舟，王茜，朱庆生（2004）. SPKI证书结构及其应用. 《重庆大学学报》.
  258. 黎星星，黄小琴，朱庆生（2004）. 电子商务推荐系统研究. 《计算机工程与科学》.
  259. 付新，朱庆生（2004）. 动态工作流系统结构与应用初探. 《’2004计算机应用技术交流会议论文集》.
  260. 朱庆生，林杰，张敏（2004）. 一种优化的文档图像分割方法. 《计算机科学》.
  261. 黄小琴，黎星星，朱庆生（2004）. 分布式应用开发中的Java技术分析与比较. 《计算机工程与设计》.
  262. 朱庆生，林杰，张敏（2004）. 基于图层分割的文档图像压缩方法. 《计算机工程与设计》.
  263. 朱庆生，罗佳（2004）. 测试面向对象系统的配置管理. 《计算机科学》.
  264. Yunfeng Li, Qingsheng Zhu, Yukun Cao (2004). Automatic metadata generation based on neural network.DOI
  265. Yunfeng Li, Xianli Li, Qingsheng Zhu, Yukun Cao (2004). A MULTIRESOLUTION APPROACH FOR PAGE SEGMENTATION BASED ON WAVELETS.DOI
  266. Qingsheng Zhu (2004). An Exploration of the Recommender Systems in E-Commerce. Computer Engineering and Science.
  267. Qingsheng Zhu (2004). Research on Content Delivery Network Based on Software Agent Technology. Jisuanji gongcheng.
  268. Qingsheng Zhu (2004). Analysis and comparison of Java technologies in development of distributed applications.
  269. Yu-kun Cao, Yun-Feng Li, Qingsheng Zhu, Yin-bin Liu (2004). Modeling Leaves Based on Real Image.
  270. 朱征宇，朱庆生，王茜（2003）. 一种基于虚拟XML技术的XQuery查询器系统框架. 《计算机科学》.
  271. 黄小琴，黎星星，朱庆生（2003）. 对等网络技术的新发展——JXTA. 《计算机科学》.
  272. 朱庆生，舒润震，朱征宇（2003）. 一种文档图像多尺度分割算法. 《计算机科学》.
  273. 王茜，王富强，傅鹤岗，朱庆生（2003）. 基于SPKI电子支付中的银行端访问控制. 《计算机科学》.
  274. 朱征宇，朱庆生（2003）. 状态自动机矩阵模型的代数性质. 《计算机工程与应用》.
  275. 朱庆生，李唯唯，王茜，傅鹤岗（2003）. 一种基于SPKI的匿名支付方案. 《计算机科学》.
  276. 葛垚，朱庆生（2003）. 基于.NET的网上银行服务系统的设计与开发. 《计算机工程》.
  277. Qingsheng Zhu (2003). Building a better recommender system in E-commerce. 《重庆大学学报：英文版》.
  278. Qingsheng Zhu (2003). Design and Development of Online System for Bank Service with .NET. Jisuanji gongcheng.
  279. 朱征宇，朱庆生，张宏森（2002）. 基于内容模块化的网页快速浏览技术. 《计算机工程与应用》.
  280. 王茜，朱庆生，付鹤岗，吴中福（2002）. 电子商务中的知识管理. 《计算机科学》.
  281. 杨小帆，黄向生，何中市，朱庆生，陈蜀宇（2002）. 离散小波变换图像压缩技术综述. 《计算机科学》.
  282. 杨小帆，何中市，柏森，陈蜀宇，朱庆生（2002）. JPEG2000的编码原理及其优缺点. 《计算机科学》.
  283. 张程，朱庆生（2002）. 采用流媒体技术实现网络中的视频和音频传播. 《计算机工程与设计》.
  284. 朱庆生，吴中福（2002）. 图像兴趣域最大位移法压缩编码技术. 《计算机科学》.
  285. 朱庆生，王茜，傅鹤岗，吴中福（2002）. 基于文档分割的图像兴趣域检测及编码方法. 《电子学报》.
  286. Zhengyu Zhu, Qingsheng Zhu, Yukun Cao (2002). A new semantic expression method for web pages based on OCDB.DOI
  287. Qingsheng Zhu (2002). Using flowing-media technology to implement the transmit of video and audio in the web. Jisuanji gongcheng yu sheji.
  288. 朱征宇，朱庆生，王茜（2001）. 基于扩展标记图的虚拟网页技术. 《计算机科学》.
  289. 朱征宇，朱庆生（2001）. 有限自动机研究的矩阵模型方法. 《计算机科学》.
  290. 张程，朱庆生（2001）. 用PHP实现Web与数据库的互连. 《计算机工程与科学》.
  291. 杨晓红，朱庆生（2001）. 组件化程序设计方法及组件标准. 《重庆大学学报》.
  292. 李波，朱庆生（2000）. 具有开-关通信源的ATM网络信元丢失分析. 《重庆大学学报》.
  293. 王茜，朱庆生，吴中福（2000）. 安全电子商务应用环境. 《计算机科学》.
  294. 李波，朱庆生（2000）. 一种多媒体数据存储、查询、检索的新方法. 《计算机工程与科学》.
  295. 李波，朱庆生（1999）. 基于小波变换的VBR分层编码算法. 《计算机工程与科学》.
  296. 李波，朱庆生（1999）. ATM 环境中的 VBR 分层编码算法. 《重庆大学学报》.
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  302. Qingsheng Zhu. roduct of Covariance Matrices over M ulti-R egions of S upport.
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书籍章节

  1. Dajiang Lei, Qingsheng Zhu, Jun Chen, Hai Xiang Lin, Peng Yang (2011). Automatic K-Means Clustering Algorithm for Outlier Detection. Lecture notes in electrical engineering.DOI
  2. Qingsheng Zhu, Yang Peng (2010). Density Sensitive Based Spectral Clustering. Lecture notes in electrical engineering.DOI

研究方向

计算机软件及计算机应用轻工业手工业天文学

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