World's Best Scientists 2026 revealed!
Qingsheng Zhu

Qingsheng Zhu

D-Index & Metrics

Computer Science

D-Index
37
Citations
5985
World Ranking
10741
National Ranking
1322

Overview

Qingsheng Zhu is affiliated with Chongqing University in China. Their research primarily focuses on computer science, with a significant number of publications in artificial intelligence and related subfields including electrical and electronic engineering, computer vision and pattern recognition, management science and operations research, and computer networks and communications.

Their work spans several main topics, reflecting diverse interests within computer science:

  • Anomaly Detection Techniques and Applications
  • Machine Learning and Data Classification
  • Imbalanced Data Classification Techniques
  • Text and Document Classification Technologies
  • Advanced Graph Neural Networks
  • Network Security and Intrusion Detection
  • Video Surveillance and Tracking Methods

Qingsheng Zhu has published several papers in notable journals, often collaborating with coauthors including Junnan Li, Quanwang Wu, Fan Zhu, Dongdong Cheng, and Mingqiang Zhou. The most frequent collaborator is Junnan Li, with whom they have co-authored nine papers.

Recent publications include:

  • "A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors" (2021), published in Information Sciences
  • "SMOTE-NaN-DE: Addressing the noisy and borderline examples problem in imbalanced classification by natural neighbors and differential evolution" (2021), published in Knowledge-Based Systems
  • "An effective framework based on local cores for self-labeled semi-supervised classification" (2020), published in Knowledge-Based Systems
  • "A boosting Self-Training Framework based on Instance Generation with Natural Neighbors for K Nearest Neighbor" (2020), published in Applied Intelligence
  • "A parameter-free hybrid instance selection algorithm based on local sets with natural neighbors" (2020), published in Applied Intelligence

Frequent publication venues for Qingsheng Zhu include:

  • Applied Intelligence
  • Knowledge-Based Systems
  • SSRN Electronic Journal
  • Information Sciences
  • Pattern Recognition

Best Publications

  • An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems

    Xin Luo;Mengchu Zhou;Yunni Xia;Qingsheng Zhu

  • A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method

    Xin Luo;MengChu Zhou;Shuai Li;Zhuhong You

  • Natural neighbor: A self-adaptive neighborhood method without parameter K

    Unknown

  • Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models

    Xin Luo;MengChu Zhou;Yunni Xia;Qingsheng Zhu

  • Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data

    Xin Luo;MengChu Zhou;Shuai Li;YunNi Xia

  • Incremental Collaborative Filtering recommender based on Regularized Matrix Factorization

    Xin Luo;Yunni Xia;Qingsheng Zhu

  • Deadline-Constrained Cost Optimization Approaches for Workflow Scheduling in Clouds

    Quanwang Wu;Fuyuki Ishikawa;Qingsheng Zhu;Yunni Xia

  • A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors

    Junnan Li;Qingsheng Zhu;Quanwang Wu;Zhu Fan

  • A non-parameter outlier detection algorithm based on Natural Neighbor

    Jinlong Huang;Qingsheng Zhu;Lijun Yang;Ji Feng

  • Stochastic Modeling and Quality Evaluation of Infrastructure-as-a-Service Clouds

    Yunni Xia;MengChu Zhou;Xin Luo;Qingsheng Zhu

  • Energy and Migration Cost-Aware Dynamic Virtual Machine Consolidation in Heterogeneous Cloud Datacenters

    Quanwang Wu;Fuyuki Ishikawa;Qingsheng Zhu;Yunni Xia

  • An Effective Scheme for QoS Estimation via Alternating Direction Method-Based Matrix Factorization

    Xin Luo;MengChu Zhou;Zidong Wang;Yunni Xia

  • An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering

    Xin Luo;MengChu Zhou;Hareton Leung;Yunni Xia

  • MOELS: Multiobjective Evolutionary List Scheduling for Cloud Workflows

    Quanwang Wu;MengChu Zhou;Qingsheng Zhu;Yunni Xia

  • Clustering with Local Density Peaks-Based Minimum Spanning Tree

    Dongdong Cheng;Qingsheng Zhu;Jinlong Huang;Quanwang Wu

  • Transactional and QoS-aware dynamic service composition based on ant colony optimization

    Quanwang Wu;Qingsheng Zhu

  • A novel outlier cluster detection algorithm without top-n parameter

    Jinlong Huang;Qingsheng Zhu;Lijun Yang;DongDong Cheng

  • An Efficient Second-Order Approach to Factorize Sparse Matrices in Recommender Systems

    Xin Luo;Mengchu Zhou;Shuai Li;Yunni Xia

  • A Novel Cluster Validity Index Based on Local Cores

    Dongdong Cheng;Qingsheng Zhu;Jinlong Huang;Quanwang Wu

  • Fluctuation-Aware and Predictive Workflow Scheduling in Cost-Effective Infrastructure-as-a-Service Clouds

    Weiling Li;Yunni Xia;Mengchu Zhou;Xiaoning Sun

  • Applying the learning rate adaptation to the matrix factorization based collaborative filtering

    Xin Luo;Yunni Xia;Qingsheng Zhu

Frequent Co-Authors

Xin Luo
Xin Luo Chinese Academy of Sciences
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Shuai Li
Shuai Li University of Oulu
Zhu-Hong You
Zhu-Hong You Chinese Academy of Sciences
Hareton Leung
Hareton Leung Hong Kong Polytechnic University
Ahmed Alabdulwahab
Ahmed Alabdulwahab King Abdulaziz University
Zidong Wang
Zidong Wang Brunel University London

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education in Computer Science offers flexible and accessible options for students from all backgrounds. Whether starting your journey or looking to advance your career, various online degrees are available to suit your goals.

Many learners consider best masters degree to get in areas like Artificial Intelligence, Data Science, or Cybersecurity, as these programs lead to rewarding tech careers. Alternatively, those seeking a quicker entry into the workforce may find value in online associates degrees, which offer foundational skills and can often be completed in two years or less.

Cost is an important factor for many students. There are a variety of cheapest online degrees in Computer Science that combine affordability with quality education. Additionally, students with a non-traditional academic background can consider online colleges that accept 2.0 gpa, making higher education more attainable for all.

Ultimately, these flexible online pathways help open the door to new career opportunities in technology — no matter your starting point.

Best Scientists Citing Qingsheng Zhu

Trending Scientists