朱慶生

朱慶生，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；大學畢業后一直在重慶大學計算機學院（系）工作。期間，1993至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（現任歐洲信息學會主席）；1998年在香港浸會大學計算機系做客座研究員；2001至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（他2014年獲CCF海外傑出貢獻獎）。

朱慶生同志主要從事多媒體信息技術、軟體方法和重用技術、電子商務等領域的研究。先後承擔了國家自然科學基金、國家863、教育部、航天部和重慶市科委下達的20餘項部委科研任務。主編教材有《多媒體電腦實用技術》、《信息系統開發方法及原理》、《全國計算機等級考試輔導教材》等，先後在《電子學報》、《計算機輔助設計與圖形學學報》等核心刊物和IEEE重要國際會議上發表論文50餘篇，其中被SCIE/EI等檢索系統收錄11篇。曾擔任中國西部地區計算機技術學術交流會和全國計算機教學研討會等全國性會議的程序委員會主席；曾擔任The 11 th Joint International Computer Conference ― JICC2005國際會議程序委員會主席（Co-Chair）和 The 5 th Int. Conf. for Young Computer Scientists —ICYCS99和The 3rd Int. Conf. on Wavelet Analysis and Its Applications ― ICWAA2003等國際會議的程序委員會委員。已招收和培養碩士研究生36人，博士生4人。

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10餘項、國家軟體著作權6項；合作發表學術論文被SCI收錄80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，曾擔任若干國際會議的程序委員。

主持國家精品課程和國家精品資源共享課程《Java程序設計》教育部-IBM精品課程和重慶市精品課程《Java并行編程實踐》，主編國家“十一五”規劃教材《Java程序設計》等教材，主持重慶市重大和重點教改項目各1項。已培養畢業博士生32人、畢業碩士生87人。

[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;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.一種用戶-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，栗銘瑤.一種基於KNN的密度峰值聚類方法，2018.12,28，CN201811617176.6

[10] 朱慶生，栗銘瑤，姚成亮.一種基於密度的層次聚類方法，2019.3.27，CN201910237841.7

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] 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，結構離群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解析度展示關鍵技術研究，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] 重慶市人工智慧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

朱慶生同志是中國計算機學會和中國電子學會高級會員，當前任中國計算機學會常務理事兼教育委員會副主任和多媒體專委會常委，全國高等學校計算機教育研究會學術委員會主任，全國核心刊物《計算機科學》和《重慶大學學報（英文版）》雜誌編委，重慶計算機學會理事長，重慶市信息化領導小組諮詢專家，重慶市自然科學類職稱評審委員會成員。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、重慶市人工智慧學會副理事長、ACM重慶分會副主席、軟體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、電子部全國工科電子類教學指導委員會委員、重慶市電子商務協會副理事長。