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Changjun Jiang

Changjun Jiang

D-Index & Metrics

Computer Science

D-Index
47
Citations
7551
World Ranking
6580
National Ranking
882

Overview

Changjun Jiang is a researcher affiliated with Tongji University in China, primarily working within the domain of Computer Science. Their scholarly activity includes a substantial number of publications, totaling 241 in this field, reflecting a focused research career.

Their contributions span several subfields of study, with particular emphasis on Artificial Intelligence, Information Systems, and Computer Networks and Communications. Additional areas of research interest include Computer Vision and Pattern Recognition, as well as Electrical and Electronic Engineering.

The main research topics covered by their work include:

  • Imbalanced Data Classification Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Graph Neural Networks
  • Privacy-Preserving Technologies in Data
  • Vehicular Ad Hoc Networks (VANETs)
  • Anomaly Detection Techniques and Applications
  • Business Process Modeling and Analysis

Changjun Jiang has co-authored numerous publications with recurring collaborators such as Guang Chen, Junli Wang, Zhijun Ding, Guanjun Liu, and Chungang Yan, indicating sustained research partnerships.

The researcher has published frequently in venues including:

  • arXiv (Cornell University)
  • IEEE Transactions on Computational Social Systems
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Neurocomputing

Some recent papers include:

  • "Explaining the black-box model: A survey of local interpretation methods for deep neural networks" (2020, Neurocomputing)
  • "A hybrid method with dynamic weighted entropy for handling the problem of class imbalance with overlap in credit card fraud detection" (2021, Expert Systems with Applications)
  • "Deep Representation Learning With Full Center Loss for Credit Card Fraud Detection" (2020, IEEE Transactions on Computational Social Systems)
  • "Elastic Scheduling for Microservice Applications in Clouds" (2020, IEEE Transactions on Parallel and Distributed Systems)
  • "Improved TrAdaBoost and its Application to Transaction Fraud Detection" (2020, IEEE Transactions on Computational Social Systems)

Changjun Jiang is also an author of a book published by World Scientific titled Risk Control Theory of Online Transactions (2021).

Best Publications

  • Random forest for credit card fraud detection

    Unknown

  • Resource Allocation Strategy in Fog Computing Based on Priced Timed Petri Nets

    Lina Ni;Jinquan Zhang;Changjun Jiang;Chungang Yan

  • Composite Particle Swarm Optimizer With Historical Memory for Function Optimization

    Jie Li;JunQi Zhang;ChangJun Jiang;MengChu Zhou

  • Hadoop Performance Modeling for Job Estimation and Resource Provisioning

    Mukhtaj Khan;Yong Jin;Maozhen Li;Yang Xiang

  • Elastic Scheduling for Microservice Applications in Clouds

    Unknown

  • User Association for Load Balancing in Vehicular Networks: An Online Reinforcement Learning Approach

    Unknown

  • GAOM: Genetic Algorithm Based Ontology Matching

    Unknown

  • Transaction Fraud Detection Based on Total Order Relation and Behavior Diversity

    Unknown

  • Improving Performance of Heterogeneous MapReduce Clusters with Adaptive Task Tuning

    Dazhao Cheng;Jia Rao;Yanfei Guo;Changjun Jiang

  • A Transaction and QoS-Aware Service Selection Approach Based on Genetic Algorithm

    ZhiJun Ding;JunJun Liu;YouQing Sun;ChangJun Jiang

  • Improved TrAdaBoost and its Application to Transaction Fraud Detection

    Lutao Zheng;Guanjun Liu;Chungang Yan;Changjun Jiang

  • Two Simple Deadlock Prevention Policies for ${ m S}^{3}{ m PR}$ Based on Key-Resource/Operation-Place Pairs

    GuanJun Liu;ChangJun Jiang;MengChu Zhou

  • Modeling and Analysis of Real-Time Cooperative Systems Using Petri Nets

    Yu Yue Du;Chang Jun Jiang;Meng Chu Zhou

  • Modeling and Validating E-Commerce Business Process Based on Petri Nets

    WangYang Yu;ChunGang Yan;ZhiJun Ding;ChangJun Jiang

  • A Novel Method for Calculating Service Reputation

    Yan Wu;ChunGang Yan;ZhiJun Ding;GuanJun Liu

  • SDCoR: Software Defined Cognitive Routing for Internet of Vehicles

    Unknown

  • Constraint-Aware Approach to Web Service Composition

    PengWei Wang;ZhiJun Ding;ChangJun Jiang;MengChu Zhou

  • Resource and Deadline-Aware Job Scheduling in Dynamic Hadoop Clusters

    Dazhao Cheng;Jia Rao;Changjun Jiang;Xiaobo Zhou

  • Improved Rule Installation for Real-Time Query Service in Software-Defined Internet of Vehicles

    Xin Wang;Cheng Wang;Junqi Zhang;Mengchu Zhou

  • FLEP: Enabling Flexible and Efficient Preemption on GPUs

    Bo Wu;Xu Liu;Xiaobo Zhou;Changjun Jiang

  • Automatic Web Service Composition Based on Uncertainty Execution Effects

    PengWei Wang;ZhiJun Ding;ChangJun Jiang;MengChu Zhou

  • A Petri Net-Based Model for Verification of Obligations and Accountability in Cooperative Systems

    YuYue Du;ChangJun Jiang;MengChu Zhou

  • Automatic Web service composition based on Horn clauses and Petri nets

    Xianfei Tang;Changjun Jiang;Mengchu Zhou

  • LASS: Local-Activity and Social-Similarity Based Data Forwarding in Mobile Social Networks

    Zhong Li;Cheng Wang;Siqian Yang;Changjun Jiang

  • Heterogeneity-Aware Workload Placement and Migration in Distributed Sustainable Datacenters

    Dazhao Cheng;Changjun Jiang;Xiaobo Zhou

  • Objectives and State-of-the-Art of Location-Based Social Network Recommender Systems

    Zhijun Ding;Xiaolun Li;Changjun Jiang;Mengchu Zhou

Frequent Co-Authors

Huaiqing Wang
Huaiqing Wang City University of Hong Kong
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology

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