Chongsheng Zhang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 28

Top Topics

Class Imbalance

Feature Selection

Learning Scheme

Top Venues

Expert Syst. Appl.

Publications

Weiping Ding, Ying Sun, Jiashuang Huang, Hengrong Ju, Chongsheng Zhang, Guang Yang, Chin-Teng Lin
RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism. Inf. Sci. 657 (2024)
Xianjin Shi, Guowen Peng, Xiajiong Shen, Chongsheng Zhang
TextFuse: Fusing Deep Scene Text Detection Models for Enhanced Performance. Multim. Tools Appl. 83 (8) (2024)
Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou
On mask-based image set desensitization with recognition support. Appl. Intell. 54 (1) (2024)
Yaxin Hou, Weiping Ding, Chongsheng Zhang
imFTP: Deep imbalance learning via fuzzy transition and prototypical learning. Inf. Sci. 679 (2024)
Gaojuan Fan, Jie Wang, Chongsheng Zhang
SACA-UNet:Medical Image Segmentation Network Based on Self-Attention and ASPP. CBMS (2023)
Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding
Correction to: An empirical study on the joint impact of feature selection and data resampling on imbalance classification. Appl. Intell. 53 (7) (2023)
Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou
On Mask-based Image Set Desensitization with Recognition Support. CoRR (2023)
Zhiqiang Zhang, Funa Zhou, Chongsheng Zhang, Chenglin Wen, Xiong Hu, Tianzhen Wang
A personalized federated learning-based fault diagnosis method for data suffering from network attacks. Appl. Intell. 53 (19) (2023)
Fadi Dornaika, Jingjun Bi, Chongsheng Zhang
A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization. Neural Networks 158 (2023)
Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu
Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data. AAAI (2023)
Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador García, Weiping Ding
An empirical study on the joint impact of feature selection and data resampling on imbalance classification. Appl. Intell. 53 (5) (2023)
Chongsheng Zhang, Yuefeng Tao, Kai Du, Weiping Ding, Bin Wang, Ji Liu, Wei Wang
Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving. IEEE Trans. Artif. Intell. 3 (2) (2022)
Chongsheng Zhang, Bin Wang, Ke Chen, Ruixing Zong, Bofeng Mo, Yi Men, George Almpanidis, Shanxiong Chen, Xiangliang Zhang
Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme. KDD (2022)
Weize Gao, Shanxiong Chen, Chongsheng Zhang, Bofeng Mo, Xuxing Liu
OBM-CNN: a new double-stream convolutional neural network for shield pattern segmentation in ancient oracle bones. Appl. Intell. 52 (11) (2022)
Gaojuan Fan, Huaiyuan Xiao, Chongsheng Zhang, George Almpanidis, Philippe Fournier-Viger, Hamido Fujita
Parallel High Utility Itemset Mining. IEA/AIE (2022)
Chongsheng Zhang, Weiping Ding, Guowen Peng, Feifei Fu, Wei Wang
Street View Text Recognition With Deep Learning for Urban Scene Understanding in Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 22 (7) (2021)
Chongsheng Zhang, Paolo Soda, Jingjun Bi, Gaojuan Fan, George Almpanidis, Salvador Garcia
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification. CoRR (2021)
Chongsheng Zhang, Ruixing Zong, Shuang Cao, Yi Men, Bofeng Mo
AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining. IJCAI (2020)
Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Chongsheng Zhang, Alberto Cano
Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem. IEEE Access 8 (2020)
Chongsheng Zhang, Yuan Zhang, Xianjin Shi, George Almpanidis, Gaojuan Fan, Xiajiong Shen
On Incremental Learning for Gradient Boosting Decision Trees. Neural Process. Lett. 50 (1) (2019)
Chongsheng Zhang, Guowen Peng, Yuefeng Tao, Feifei Fu, Wei Jiang, George Almpanidis, Ke Chen
ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views. CoRR (2019)
Chongsheng Zhang, George Almpanidis, Faegheh Hasibi, Gaojuan Fan
Gridvoronoi: An Efficient Spatial Index for Nearest Neighbor Query Processing. IEEE Access 7 (2019)
Chongsheng Zhang, Jingjun Bi, Shixin Xu, Enislay Ramentol, Gaojuan Fan, Baojun Qiao, Hamido Fujita
Multi-Imbalance: An open-source software for multi-class imbalance learning. Knowl. Based Syst. 174 (2019)
Chongsheng Zhang, George Almpanidis, Wanwan Wang, Changchang Liu
An empirical evaluation of high utility itemset mining algorithms. Expert Syst. Appl. 101 (2018)
Jingjun Bi, Chongsheng Zhang
An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme. Knowl. Based Syst. 158 (2018)
Chongsheng Zhang, Changchang Liu, Xiangliang Zhang, George Almpanidis
An up-to-date comparison of state-of-the-art classification algorithms. Expert Syst. Appl. 82 (2017)
Chongsheng Zhang, Jingjun Bi, Paolo Soda
Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain. BIBM (2017)
Chongsheng Zhang, Jingjun Bi, Changchang Liu, Ke Chen
A parameter-free label propagation algorithm for person identification in stereo videos. Neurocomputing 218 (2016)
Chongsheng Zhang, Roberto D'Ambrosio, Paolo Soda
Real-Time Biomedical Instance Selection. CBMS (2014)
Fu Xiao, Chongsheng Zhang, Zhi-jie Han
Big Data in Ubiquitous Wireless Sensor Networks. Int. J. Distributed Sens. Networks 10 (2014)
Chongsheng Zhang, Roberto D'Ambrosio, Paolo Soda
"Real-time" Instance Selection for Biomedical Data Classification. DaWaK (2014)
Chongsheng Zhang, Florent Masseglia, Yves Lechevallier
The anti-bouncing data stream model for web usage streams with intralinkings. Inf. Sci. 278 (2014)
Chongsheng Zhang
A system for efficient and simultaneous processing of moving K nearest neighbor and spatial keyword queries. SSDBM (2014)
Chongsheng Zhang, Yuan Hao, Mirjana Mazuran, Carlo Zaniolo, Hamid Mousavi, Florent Masseglia
Mining frequent itemsets over tuple-evolving data streams. SAC (2013)
Gaojuan Fan, Chongsheng Zhang
A New Metric for Modeling the Uneven Sleeping Problem in Coordinated Sensor Node Scheduling. Int. J. Distributed Sens. Networks 9 (2013)
Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang
Discovering Highly Informative Feature Set over High Dimensions. ICTAI (2012)
Chongsheng Zhang, Paolo Soda
A Double-Ensemble Approach for Classifying Skewed Data Streams. PAKDD (1) (2012)
Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang
Modeling and Clustering Users with Evolving Profiles in Usage Streams. TIME (2012)
Chongsheng Zhang, Florent Masseglia
Extraction d'itemsets distinctifs dans les flux de données. EGC (2010)
Chongsheng Zhang, Florent Masseglia
Discovering Highly Informative Feature Sets from Data Streams. DEXA (1) (2010)
Chongsheng Zhang, Florent Masseglia, Yves Lechevallier
ABS: The Anti Bouncing Model for Usage Data Streams. ICDM (2010)
Zhongbo Wu, Chongsheng Zhang, Hong Chen
Energy-level based Routing Algorithm of Multi-sink Sensor Networks. ICNSC (2008)
Chongsheng Zhang, Zhongbo Wu, Bo Qu, Hong Chen, Xing Hao
On Efficient Processing of Multiple KNN Queries in Constrained Spatial Networks. FSKD (4) (2008)
Chongsheng Zhang, Zhongbo Wu, Bo Qu, Hong Chen
Mining Top-n Local Outliers in Constrained Spatial Networks. ADMA (2008)