Chongsheng Zhang

According to our database, Chongsheng Zhang authored at least 47 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Neighbor-Enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks.

Xiangyu Wei, Wei Wang, Chongsheng Zhang, Weiping Ding, Bin Wang, Yaguan Qian, Zhen Han, Chunhua Su

ACM Trans. Knowl. Discov. Data, September, 2024

RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism.

Weiping Ding, Ying Sun, Jiashuang Huang, Hengrong Ju, Chongsheng Zhang, Guang Yang, Chin-Teng Lin

Inf. Sci., February, 2024

On mask-based image set desensitization with recognition support.

Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou

Appl. Intell., January, 2024

TextFuse: Fusing Deep Scene Text Detection Models for Enhanced Performance.

Xianjin Shi, Guowen Peng, Xiajiong Shen, Chongsheng Zhang

Multim. Tools Appl., 2024

imFTP: Deep imbalance learning via fuzzy transition and prototypical learning.

Yaxin Hou, Weiping Ding, Chongsheng Zhang

Inf. Sci., 2024

Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild.

Fares Bougourzi, Fadi Dornaika, Chongsheng Zhang

CoRR, 2024

A Systematic Review on Long-Tailed Learning.

Chongsheng Zhang, George Almpanidis, Gaojuan Fan, Binquan Deng, Yanbo Zhang, Ji Liu, Aouaidjia Kamel, Paolo Soda, João Gama

CoRR, 2024

2023

A personalized federated learning-based fault diagnosis method for data suffering from network attacks.

Zhiqiang Zhang, Funa Zhou, Chongsheng Zhang, Chenglin Wen, Xiong Hu, Tianzhen Wang

Appl. Intell., October, 2023

Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity.

Fadi Dornaika, D. Sun, Karim Hammoudi, Jinan Charafeddine, Adnane Cabani, Chongsheng Zhang

Pattern Recognit., July, 2023

Correction to: An empirical study on the joint impact of feature selection and data resampling on imbalance classification.

Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding

Appl. Intell., April, 2023

An empirical study on the joint impact of feature selection and data resampling on imbalance classification.

Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding

Appl. Intell., March, 2023

A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization.

Fadi Dornaika, Jingjun Bi, Chongsheng Zhang

Neural Networks, January, 2023

SACA-UNet:Medical Image Segmentation Network Based on Self-Attention and ASPP.

Gaojuan Fan, Jie Wang, Chongsheng Zhang

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data.

Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu

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.

Chongsheng Zhang, Yuefeng Tao, Kai Du, Weiping Ding, Bin Wang, Ji Liu, Wei Wang

IEEE Trans. Artif. Intell., 2022

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

Weize Gao, Shanxiong Chen, Chongsheng Zhang, Bofeng Mo, Xuxing Liu

Appl. Intell., 2022

Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme.

Chongsheng Zhang, Bin Wang, Ke Chen, Ruixing Zong, Bofeng Mo, Yi Men, George Almpanidis, Shanxiong Chen, Xiangliang Zhang

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.

Gaojuan Fan, Huaiyuan Xiao, Chongsheng Zhang, George Almpanidis, Philippe Fournier-Viger, Hamido Fujita

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.

Chongsheng Zhang, Weiping Ding, Guowen Peng, Feifei Fu, Wei Wang

IEEE Trans. Intell. Transp. Syst., 2021

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

Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador Garcia

CoRR, 2021

2020

Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem.

Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Chongsheng Zhang, Alberto Cano

IEEE Access, 2020

AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining.

Chongsheng Zhang, Ruixing Zong, Shuang Cao, Yi Men, Bofeng Mo

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

On Incremental Learning for Gradient Boosting Decision Trees.

Chongsheng Zhang, Yuan Zhang, Xianjin Shi, George Almpanidis, Gaojuan Fan, Xiajiong Shen

Neural Process. Lett., 2019

Multi-Imbalance: An open-source software for multi-class imbalance learning.

Chongsheng Zhang, Jingjun Bi, Shixin Xu, Enislay Ramentol, Gaojuan Fan, Baojun Qiao, Hamido Fujita

Knowl. Based Syst., 2019

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

Chongsheng Zhang, Guowen Peng, Yuefeng Tao, Feifei Fu, Wei Jiang, George Almpanidis, Ke Chen

CoRR, 2019

Gridvoronoi: An Efficient Spatial Index for Nearest Neighbor Query Processing.

Chongsheng Zhang, George Almpanidis, Faegheh Hasibi, Gaojuan Fan

IEEE Access, 2019

2018

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

Jingjun Bi, Chongsheng Zhang

Knowl. Based Syst., 2018

An empirical evaluation of high utility itemset mining algorithms.

Chongsheng Zhang, George Almpanidis, Wanwan Wang, Changchang Liu

Expert Syst. Appl., 2018

2017

An up-to-date comparison of state-of-the-art classification algorithms.

Chongsheng Zhang, Changchang Liu, Xiangliang Zhang, George Almpanidis

Expert Syst. Appl., 2017

Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain.

Chongsheng Zhang, Jingjun Bi, Paolo Soda

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.

Chongsheng Zhang, Jingjun Bi, Changchang Liu, Ke Chen

Neurocomputing, 2016

2014

The anti-bouncing data stream model for web usage streams with intralinkings.

Chongsheng Zhang, Florent Masseglia, Yves Lechevallier

Inf. Sci., 2014

Big Data in Ubiquitous Wireless Sensor Networks.

Fu Xiao, Chongsheng Zhang, Zhi-jie Han

Int. J. Distributed Sens. Networks, 2014

A system for efficient and simultaneous processing of moving K nearest neighbor and spatial keyword queries.

Chongsheng Zhang

Proceedings of the Conference on Scientific and Statistical Database Management, 2014

"Real-time" Instance Selection for Biomedical Data Classification.

Chongsheng Zhang, Roberto D'Ambrosio, Paolo Soda

Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Real-Time Biomedical Instance Selection.

Chongsheng Zhang, Roberto D'Ambrosio, Paolo Soda

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.

Gaojuan Fan, Chongsheng Zhang

Int. J. Distributed Sens. Networks, 2013

Mining frequent itemsets over tuple-evolving data streams.

Chongsheng Zhang, Yuan Hao, Mirjana Mazuran, Carlo Zaniolo, Hamid Mousavi, Florent Masseglia

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2012

Modeling and Clustering Users with Evolving Profiles in Usage Streams.

Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang

Proceedings of the 19th International Symposium on Temporal Representation and Reasoning, 2012

A Double-Ensemble Approach for Classifying Skewed Data Streams.

Chongsheng Zhang, Paolo Soda

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Discovering Highly Informative Feature Set over High Dimensions.

Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2010

ABS: The Anti Bouncing Model for Usage Data Streams.

Chongsheng Zhang, Florent Masseglia, Yves Lechevallier

Proceedings of the ICDM 2010, 2010

Extraction d'itemsets distinctifs dans les flux de données.

Chongsheng Zhang, Florent Masseglia

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

Discovering Highly Informative Feature Sets from Data Streams.

Chongsheng Zhang, Florent Masseglia

Proceedings of the Database and Expert Systems Applications, 21st International Conference, 2010

2008

Energy-level based Routing Algorithm of Multi-sink Sensor Networks.

Zhongbo Wu, Chongsheng Zhang, Hong Chen

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

On Efficient Processing of Multiple KNN Queries in Constrained Spatial Networks.

Chongsheng Zhang, Zhongbo Wu, Bo Qu, Hong Chen, Xing Hao

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Mining Top-n Local Outliers in Constrained Spatial Networks.

Chongsheng Zhang, Zhongbo Wu, Bo Qu, Hong Chen

Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008