Qingsheng ZHU
Professor
Email: qszhu@wnmb900.com
Dr. Qingsheng ZHU is a professor of Computer Science of Chongqing University and director of Key Lab. of Software Theory & Technology in Chongqing. He was a visiting scholar at the University of London from 1993 to 1994 and a visiting professor at the University of Illinois at Chicago from 2001 to 2002. He obtained an Outstanding Young Teacher awarded by Ministry of Education of China in 1996 and an Academic Leader of Computer Science awarded by Chongqing Government in 2008.
He was responsible for 3 National Natural Science Foundation of China, 2 National Science and Technology Support Programs, and 2 National 863 Programs. He has also finished more than 10 projects from Ministry of Education or Chongqing Science and Technology Bureau. He won 7 science and technology awards and has 13 authorized Chinese patents. He published over 100 papers in SCI journals. His research interests are service-oriented software engineering, machine learning, data mining and outlier detection.
Selected Papers
[1] Cheng Dongdong; Zhu Qingsheng; Huang Jinlong; Wu Quanwang; Yang Lijun. Clustering with local density peaks-based minimum spanning tree. IEEE TRANS ON KNOWLEDGE AND DATA ENGINEERING. 2020. DOI:10.1109/TKDE.2019.2930056
[2] Wu, Quanwang; Zhou MengChu; Zhu Qingsheng; Xia Yunni. MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows. IEEE TRANS ON AUTOMATION SCIENCE AND ENGINEERING. 2020, 17(1): 166-176
[3] Wu Quanwang; Fuyuki Ishikawa; Zhu Qingsheng; Xia yunni. Energy and Migration Cost-Aware Dynamic Virtual Machine Consolidation in Heterogeneous Cloud Datacenters. IEEE TRANS ON SERVICES COMPUTING, 2019, 12(4): 550-563
[4] 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
[5] Luo Xin; Zhou Mengchu; Wang Zidong; Xia Yunni; Zhu Qingsheng. An Effective Scheme for QoS Estimation via Alternating Direction Method-Based Matrix Factorization. IEEE TRANS ON SERVICES COMPUTING, 2019, 12(4): 503-518
[6] 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
[7] Luo Xin; Zhou MengChu; Li Shuai; ; . 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
[8] 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
[9] Huang, Jinlong; Zhu, Qingsheng. A Novel Outlier Cluster Detection Algorithm without Top-n Parameter. KNOWLEDGE-BASED SYSTEMS. 2017, 121: 32-40
[10] Cheng Dongdong; Zhu Qingsheng. Natural Neighbor-based Clustering Algorithm with Local Representatives. KNOWLEDGE-BASED SYSTEMS. 2017, 123: 238-253
[11] Wu, Quanwang; Ishikawa, Fuyuki; Zhu, Qingsheng. QoS-Aware Multigranularity Service Composition: Modeling and Optimization. IEEE TRANS ON SYSTEMS MAN CYBERNETICS -SYSTEMS 2016, 46(11): 1565-1577
[12] 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
[13] Zhu, Qingsheng; Feng, Ji; Huang, Jinlong. Natural neighbor: A self-adaptive neighborhood method without parameter K. PATTERN RECOGNITION LETTERS, 2016, 80: 30-36
[14] 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
[15] Huang Jinlong; Zhu Qingsheng. A Non-parameter Outlier Detection Algorithm based on Natural Neighbor. KNOWLEDGE-BASED SYSTEMS. 2016, v 92: 71-77
[16] 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
[17] 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
[18] 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
[19] 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
[20] 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
Hosted Projects
Ÿ National Natural Science Foundation of China (61272194): Characteristic Analysis and Application of Natural Nearest Neighbor (PI)
Ÿ National Natural Science Foundation of China (61073058): Features Analysis and Interpretation Space Modeling of Structural Outlier (PI)
Ÿ National Natural Science Foundation of China (60773082): Multi-resolution Display of Virtual Plant Driven by Physiological Engine (PI)
Ÿ National Science and Technology Support Programs(2011BAH25B00): Key Technologies and Support Platform for Servicing both urban and rural (PI)
Ÿ National Science and Technology Support Programs(2007BAH08B04): A Service Platform of Chongqing - E-station that is Convenient for Common People (PI)
Ÿ Key R&D Project of Chongqing(CSTC2017rgun-zdyfx0040): Research on Key Technologies and its Application of Intelligent Monitoring of Public Safety Incidents based on Urban Perceived Big-data (PI)
Professional Activities
Ÿ Vice-president, Computer Education Research Association of China Universities, 2020-
Ÿ President, Chongqing Association of Computer (CQAC), 2015-
Ÿ Vice-president, Chongqing Association of Artificial Intelligence (CQAAI), 2018-
Ÿ Standing committee member, China Computer Society (CCF), 2005-2012
Ÿ Vice chairman, ACM Chongqing Branch, China, 2013-2018
Ÿ Vice-chairman, 2019 China University Computer Education Conference, Nanjing, 2019
Ÿ Outstanding member, China Computer Federation (CCF)
