複製鏈接
請複製以下鏈接發送給好友

朱慶生

(博士,教授,博士生導師)

鎖定
朱慶生,男,博士,重慶大學計算機學院黨委書記、重點實驗室主任、教授,博士生導師。
主持完成國家自然科學基金3項、國家科技支撐計劃2項、國家863計劃2項、教育部及重慶市省部級科研項目10餘項;先後獲得原廣電部科技進步一等獎、中國國防科技進步二等獎、四川省和重慶市科技進步獎共7項;獲權國家發明專利12項、國家軟件著作權6項;發表學術論文被SCI收錄90餘篇。作為大會主席或程序委員會主席承辦了IEEE國際會議ITAIC2014、ICISME2012等4個會議,每年都擔任若干國際會議的程序委員。
主持國家精品資源共享課程《Java程序設計》、主編國家級規劃教材《Java程序設計》等教材3部,主持完成重慶市重大教改項目和重點教改項目各1項,獲得重慶市教學成果一等獎和四川省教學成果二等獎各一項。已培養畢業博士生36人、畢業碩士生97人。 [1] 
中文名
朱慶生
畢業院校
重慶大學
學位/學歷
博士
專業方向
計算機
任職院校
重慶大學計算機學院

朱慶生研究方向

面向服務的軟件工程、數據挖掘與離羣檢測、機器學習與知識工程 [1] 

朱慶生社會兼職

教育部優秀青年教師,重慶市學術技術帶頭人。目前擔任全國高校計算機教育研究會副理事長、中國計算機學會理事、重慶計算機學會理事長、重慶市人工智能學會副理事長、軟件理論與技術重慶市重點實驗室主任、重慶市信息化領導小組諮詢專家。曾先後擔任中國計算機學會常務理事和教育專委會副主任、全國高校計算機教育研究會秘書長、全國工科電子類專業教學指導委員會成員、重慶市電子商務協會副理事長、ACM重慶分會副主席、重慶大學計算機學院院長、黨委書記。 [1] 

朱慶生人物經歷

1978年進入重慶大學計算機專業學習,先後獲得學士、碩士、博士學位。大學畢業後一直在重慶大學計算機學院/系工作。期間,1993-1994年在英國牛津大學和倫敦大學做訪問學者,從師於時任英國計算機學會理事長Roger Johnson教授;2001-2002年在美國伊利諾大學芝加哥分校做訪問教授,合作導師Carl Chang教授時任IEEE計算機學會主席。 [1] 

朱慶生學術成果

朱慶生論文

[1] Cheng Dongdong; Zhu Qingsheng. A Novel Cluster Validity Index Based on Local Cores.IEEE TRANS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 2019, 30(4): 985-999
[2] Lu Jianyun; Zhu Qingsheng. A novel data clustering algorithm using heuristic rules based on k-nearest neighbors chain.ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 2018, 72: 213-227
[3] Wu Quanwang; Zhou MengChu; Zhu Qingsheng; Xia Yunni. VCG Auction-Based Dynamic Pricing for Multigranularity Service Composition.IEEE TRANS ON AUTOMATION SCIENCE AND ENGINEERING. 2018, 15(2): 796-805
[4] Yang Lijun; Zhu Qingsheng. Natural neighborhood graph-based instance reduction algorithm without parameters,APPLIED SOFT COMPUTING.2018, 70: 279-287
[5] Luo Xin; Zhou MengChu; Li Shuai;Xia YunNi;Zhu, QingSheng. Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data.IEEE TRANS ON CYBERNETICS. 2018,48(4): 1216-1228
[6] Wu Quanwang; Zhou MengChu; Zhu Qingsheng; Xia, Yunni. Deadline-Constrained Cost Optimization Approaches for Workflow Scheduling in Clouds.IEEE TRANS ON PARALLEL AND DISTRIBUTED SYSTEMS.2018, 28(12): 3401-3412
[7] Lu Jianyun; Zhu Qingsheng. An Effective Algorithm Based on Density Clustering Framework.IEEE ACCESS.2017, 5: 4991-5000
[8] Huang Jinlong; Zhu Qingsheng. A novel outlier cluster detection algorithm without top-n parameter.KNOWLEDGE-BASED SYSTEMS. 2017, 121: 32-40
[9] Huang Jinlong; Zhu Qingsheng. QCC: a novel clustering algorithm based on Quasi-Cluster Centers.MACHINE LEARNING.2017, 106(3): 337-357
[10] Yang Lijun; Zhu Qingsheng. Adaptive edited natural neighbor algorithm.NEUROCOMPUTING. 2017, 230: 427-433
[11] Cheng Dongdong; Zhu Qingsheng. Natural neighbor-based clustering algorithm with local representatives.KNOWLEDGE-BASED SYSTEMS.2017, 123: 238-253
[12] Wu Quanwang; Ishikawa Fuyuki; Zhu Qingsheng. QoS-Aware Multigranularity Service Composition: Modeling and Optimization.IEEE TRANS ON SYSTEMS MAN CYBERNETICS -SYSTEMS2016, 46(11): 1565-1577
[13] Zhu Qingsheng; Feng Ji; Huang Jinlong. Weighted natural neighborhood graph: an adaptive structure for clustering and outlier detection with no neighborhood parameter.CLUSTER COMPUTING. 2016, 19(3): 1385-1397
[14] Yang Lijun; Zhu Qingsheng. Natural Neighbor Reduction Algorithm for Instance-based Learning.INTERNATIONAL JOURNAL OF COGNITIVE INFORMATICS AND NATURAL INTELLIGENCE. 2016, 10(4): 59-73
[15] Luo Xin; Zhou MengChu; Li Shuai; You Zhuhong; Xia Yunni; Zhu Qingsheng. A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method.IEEE TRANS ON NEURAL NETWORKS AND LEARNING SYSTEMS.2016, 27(3): 579-592
[16] Zhu Qingsheng; Feng Ji; Huang Jinlong. Natural neighbor: A self-adaptive neighborhood method without parameter K.PATTERN RECOGNITION LETTERS, 2016, 80: 30-36
[17] Luo Xin; Zhou MengChu; Xia Yunni; Zhu Qingsheng. Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models.IEEE TRANS ON NEURAL NETWORKS AND LEARNING SYSTEMS.2016, 27(3): 524-537
[18] Huang Jinlong; Zhu Qingsheng. A Non-parameter Outlier Detection Algorithm based on Natural Neighbor.KNOWLEDGE-BASED SYSTEMS.2016, v 92: 71-77
[19] Luo Xin; Zhou MengChu; Leung Hareton; Xia Yunni; Zhu Qingsheng. An Incremental and Static Combined Scheme for Matrix-Factorization-Based Collaborative Filtering.IEEE TRANS ON AUTOMATION SCIENCE AND ENGINEERING.2016, 13(1): 333-343
[20] Wu Quanwang; Zhu Qingsheng; Li Peng. A Neural Network based Reputation Bootstrapping Approach for Service Selection.Enterprise Information Systems.2015, 9(7): 768-784
[21] Luo Xin; Zhou Mengchu; Li Shuai; Xia Yunni; You Zhuhong; Zhu Qingsheng. An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems.IEEE TRANS ON INDUSTRIAL INFORMATICS.2015, 11(4): 946-956
[22] Li Songyang; Gao Jixun; Zhu Qingsheng. A Dynamic Root Simulation Model in Response to Soil Moisture Heterogeneity.MATHEMATICS AND COMPUTERS IN SIMULATION.2015, v113: 40-50
[23] Xia YunNi; Zhou MengChu; Luo Xin; Zhu Qingsheng. Stochastic Modeling and Performance Analysis of Migration-Enabled and Error-Prone Clouds.IEEE TRANS ON INDUSTRIAL INFORMATICS.2015, 11(2): 495-504
[24] Xia Yunni; Zhou Mengchu; Luo Xin; Pang Shanchen; Zhu Qingsheng. A Stochastic Approach to Analysis of Energy-aware DVS-enabled Cloud Datacenters.IEEE Trans on Systems, Man, and Cybernetics: Systems.2015, 45(1): 73-83
[25] Xia Yunni; Zhou Mengchu; Luo Xin; Zhu Qingsheng. Stochastic Modeling and Quality Evaluation of Infrastructure-as-a-Service Clouds.IEEE Trans on Automation Science and Engineering.2015, 12(1): 162-170
[26] Wan Jiaqiang; Zhu Qingsheng. Outlier Detection based on Transitive Closure.Intelligent Data Analysis.2015, 19(1): 145-160
[27] Wu Quanwang; Zhu Qingsheng. A Correlation-driven Optimal Service Selection Approach for Virtual Enterprise Establishment.Journal of Intelligent Manufacturing.2014, 25(6): 1441-1453
[28] Wu Quanwang; Zhu Qingsheng. Broker-based SLA-aware composite service provisioning.Journal of Systems and Software. 2014. v96: 194-201
[29] Wu Quanwang; Zhu Qingsheng. A Robust Decentralized Reputation Management System for Service Selection.International Journal for Light and Electron Optics.2014, 125(11): 2692-2701
[30] Zhu Qingsheng; Zhang Sulan; Zeng Lingqiu. Multi-Resolution Foliage Faithful to the Visual and Botanic Concepts.JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE. 2014, 11(4): 1007-1017
[31] Luo Xin; Zhou Mengchu; Xia Yunni; Zhu Qingsheng. An Efficient Non-Negative Matrix-Factorization -Based Approach to Collaborative Filtering for Recommender Systems.IEEE TRANS ON INDUSTRIAL INFORMATICS.2014, 10(2): 1273-1284
[32] Xia Yunni; Luo Xin; Li Jia; Zhu Qingsheng. A Petri-Net-Based Approach to Reliability Determination of Ontology-Based Service Compositions.IEEE TRANS ON SYSTEMS MAN CYBERNETICS- SYSTEMS. 2013, 43(5): 1240-1247
[33] Luo Xin; Xia Yunni; Zhu Qingsheng.Boosting the K-Nearest-Neighborhood based incremental collaborative filtering.KNOWLEDGE-BASED SYSTEMS. 2013, v53: 90-99
[34] Huang Xin; Lee Jia; Yang Ruilong; Zhu Qingsheng. Simple and Flexible Self-Reproducing Structures in Asynchronous Cellular Automata and Their Dynamics.INTERNATIONAL JOURNAL OF MODERN PHYSICS C. 2013, 24(3)
[35] Zhu Qingsheng; Li Songyang; Liu Ji. Using L-Systems for Simulating Virtual Plant Plasticity Related to Water Status.JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE. 2013, 10(3): 561-568
[36] Wu Quanwang; Zhu Qingsheng.Transactional and QoS-aware dynamic service composition based on ant colony optimization.FUTURE GENERATION COMPUTER SYSTEMS. 2013, 29(5): 1112-1119
[37] Luo Xin; Xia Yunni; Zhu Qingsheng. Applying the learning rate adaptation to the matrix factorization based collaborative filtering.KNOWLEDGE-BASED SYSTEMS.2013, v37: 154-164
[38] Lee Jia; Imai Katsunobu; Zhu Qingsheng. Fluctuation-driven computing on number-conserving cellular automata.INFORMATION SCIENCES. 2012, v187: 266-276
[39] Lee Jia; Zhu Qingsheng. A Direct Proof of Turing Universality of Delay-Insensitive Circuits.INTERNATIONAL JOURNAL OF UNCONVENTIONAL COMPUTING. 2012, 8(2): 107-118
[40] Xia Yunni; Liu Yi; Liu Ji; Zhu Qingsheng. Modeling and Performance Evaluation of BPEL Processes: A Stochastic-Petri-Net-Based Approach.IEEE TRANS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS. 2012, 42(2): 503-510 [1] 

朱慶生專利

[1] 朱慶生;曾令秋;葛亮;劉驥;屈洪春.基於Web的虛擬植物可視化系統及虛擬植物構建方法,2011.12.28,ZL200910104108.4
[2] 朱慶生,葛亮,劉驥,曾令秋,李松陽.虛擬植物生長的展示方法,2012.01.11,ZL201010204666.0
[3] 夏雲霓,陳鵬,楊瑞龍,朱慶生. DAML-S組合服務可靠性分析方法,2014.05.07,zl201110351649.4已市場化交易
[4] 朱慶生,張程,劉慧君,周明強,曾令秋.一種固定區域內幼童位置監控和搜索系統,2014.11.19,ZL201210066736.X
[5] 夏雲霓,陳鵬,羅辛,劉傑,朱慶生.一種web服務連接成功率的預測方法,2015.01.07, ZL201210245592.4已市場化交易
[6] 夏雲霓,陳鵬,羅辛,吳磊,朱慶生.一種基於時間序列的Web服務響應時間預測方法,2015.01.07, ZL201210168757.2
[7] 韓慶文,曾令秋,賀雪瑩,朱慶生.基於道路異常區域評估的路徑選擇方法及系統,2016.03.02,ZL201310722747.3
[8] 羅辛,葛亮,夏雲霓,朱慶生.一種用户-商品點擊率自適應預測裝置和預測方法,2016.03.23, ZL201310162681.7
[9] 朱慶生,姚成亮,慄銘瑤.一種基於KNN的密度峯值聚類方法,2018.12,28,CN201811617176.6
[10] 朱慶生,慄銘瑤,姚成亮.一種基於密度的層次聚類方法,2019.3.27,CN201910237841.7 [1] 

朱慶生教材

朱慶生,古平.國家級規劃教材《Java程序設計》第二版.清華大學出版社. 2017 [1] 

朱慶生項目

[1] 國家自然科學基金面上項目,61272194,自然最近鄰居的特性分析與應用研究,主持,2013/01-2016/12
[2] 國家科技支撐計劃重點項目,2011BAH25B00,統籌城鄉現代服務關鍵技術研究與支撐平台構建,主持,2011/010-2014/9
[3] 國家自然科學基金面上項目,61073058,結構離羣特徵分析與釋義空間建模研究,主持2011/01-2013/12
[4] 國家自然科學基金面上項目,60773082,生理引擎驅動的虛擬植物多分辨率展示關鍵技術研究,主持,2008/01-2010/12
[5] 國家科技支撐計劃課題,2007BAH08B04,重慶“便民e站”服務平台,主持,2008/01-2010/12
[6] 重慶市人工智能技術創新重大主題專項重點研發項目,CSTC2017rgun-zdyfx0040,基於城市感知大數據的公共安全事件智能監測關鍵技術與示範應用,主持,2018/01-2020/12 [1] 
參考資料
  • 1.    朱慶生  .重慶大學計算機學院[引用日期2017-04-27]