Chongsheng Zhang

Orcid: 0000-0003-1632-7238

Affiliations:
  • Henan University, Department of Data Science, KaiFeng, China
  • INRIA, France (former)


According to our database1, Chongsheng Zhang authored at least 43 papers between 2008 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism.
Inf. Sci., February, 2024

On mask-based image set desensitization with recognition support.
Appl. Intell., January, 2024

TextFuse: Fusing Deep Scene Text Detection Models for Enhanced Performance.
Multim. Tools Appl., 2024

2023
A personalized federated learning-based fault diagnosis method for data suffering from network attacks.
Appl. Intell., October, 2023

Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity.
Pattern Recognit., July, 2023

Correction to: An empirical study on the joint impact of feature selection and data resampling on imbalance classification.
Appl. Intell., April, 2023

An empirical study on the joint impact of feature selection and data resampling on imbalance classification.
Appl. Intell., March, 2023

A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization.
Neural Networks, January, 2023

SACA-UNet:Medical Image Segmentation Network Based on Self-Attention and ASPP.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving.
IEEE Trans. Artif. Intell., 2022

OBM-CNN: a new double-stream convolutional neural network for shield pattern segmentation in ancient oracle bones.
Appl. Intell., 2022

Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Parallel High Utility Itemset Mining.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

2021
Street View Text Recognition With Deep Learning for Urban Scene Understanding in Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2021

An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification.
CoRR, 2021

2020
Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem.
IEEE Access, 2020

AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
On Incremental Learning for Gradient Boosting Decision Trees.
Neural Process. Lett., 2019

Multi-Imbalance: An open-source software for multi-class imbalance learning.
Knowl. Based Syst., 2019

ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views.
CoRR, 2019

Gridvoronoi: An Efficient Spatial Index for Nearest Neighbor Query Processing.
IEEE Access, 2019

2018
An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme.
Knowl. Based Syst., 2018

An empirical evaluation of high utility itemset mining algorithms.
Expert Syst. Appl., 2018

2017
An up-to-date comparison of state-of-the-art classification algorithms.
Expert Syst. Appl., 2017

Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
A parameter-free label propagation algorithm for person identification in stereo videos.
Neurocomputing, 2016

2014
The anti-bouncing data stream model for web usage streams with intralinkings.
Inf. Sci., 2014

Big Data in Ubiquitous Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2014

A system for efficient and simultaneous processing of moving K nearest neighbor and spatial keyword queries.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

"Real-time" Instance Selection for Biomedical Data Classification.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Real-Time Biomedical Instance Selection.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
A New Metric for Modeling the Uneven Sleeping Problem in Coordinated Sensor Node Scheduling.
Int. J. Distributed Sens. Networks, 2013

Mining frequent itemsets over tuple-evolving data streams.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2012
Modeling and Clustering Users with Evolving Profiles in Usage Streams.
Proceedings of the 19th International Symposium on Temporal Representation and Reasoning, 2012

A Double-Ensemble Approach for Classifying Skewed Data Streams.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Discovering Highly Informative Feature Set over High Dimensions.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2010
ABS: The Anti Bouncing Model for Usage Data Streams.
Proceedings of the ICDM 2010, 2010

Extraction d'itemsets distinctifs dans les flux de données.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Discovering Highly Informative Feature Sets from Data Streams.
Proceedings of the Database and Expert Systems Applications, 21st International Conference, 2010

2008
Energy-level based Routing Algorithm of Multi-sink Sensor Networks.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

On Efficient Processing of Multiple KNN Queries in Constrained Spatial Networks.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Mining Top-n Local Outliers in Constrained Spatial Networks.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008


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