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ORCIDChongsheng Zhang
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- affiliation: Henan University, Department of Data Science, KaiFeng, China
- affiliation (former): INRIA, France
- unicode name: 张重生
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Journal Articles
- 2024
[j24]Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou:
On mask-based image set desensitization with recognition support. Appl. Intell. 54(11-12): 886-898 (2024)- [j23]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: 120007 (2024) - [j22]Yaxin Hou, Weiping Ding, Chongsheng Zhang:
imFTP: Deep imbalance learning via fuzzy transition and prototypical learning. Inf. Sci. 679: 121071 (2024) - [j21]Xianjin Shi, Guowen Peng, Xiajiong Shen, Chongsheng Zhang:
TextFuse: Fusing Deep Scene Text Detection Models for Enhanced Performance. Multim. Tools Appl. 83(8): 22433-22454 (2024) - [j20]Xiangyu Wei, Wei Wang, Chongsheng Zhang, Weiping Ding, Bin Wang, Yaguan Qian, Zhen Han, Chunhua Su:
Neighbor-Enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks. ACM Trans. Knowl. Discov. Data 18(8): 204:1-204:25 (2024) - 2023
- [j19]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): 5449-5461 (2023) - [j18]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): 8506 (2023) - [j17]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): 22834-22849 (2023) - [j16]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: 188-196 (2023) - [j15]Fadi Dornaika, D. Sun, Karim Hammoudi, Jinan Charafeddine, Adnane Cabani, Chongsheng Zhang:
Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity. Pattern Recognit. 139: 109481 (2023) - 2022
- [j14]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): 12241-12257 (2022) - [j13]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): 297-308 (2022) - 2021
- [j12]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): 4727-4743 (2021) - 2020
- [j11]Asma Belhadi, Youcef Djenouri, Jerry Chun-Wei Lin, Chongsheng Zhang, Alberto Cano:
Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem. IEEE Access 8: 10569-10583 (2020) - 2019
- [j10]Chongsheng Zhang, George Almpanidis, Faegheh Hasibi, Gaojuan Fan:
Gridvoronoi: An Efficient Spatial Index for Nearest Neighbor Query Processing. IEEE Access 7: 120997-121014 (2019) - [j9]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: 137-143 (2019) - [j8]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): 957-987 (2019) - 2018
- [j7]Chongsheng Zhang, George Almpanidis, Wanwan Wang, Changchang Liu:
An empirical evaluation of high utility itemset mining algorithms. Expert Syst. Appl. 101: 91-115 (2018) - [j6]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: 81-93 (2018) - 2017
- [j5]Chongsheng Zhang, Changchang Liu, Xiangliang Zhang, George Almpanidis:
An up-to-date comparison of state-of-the-art classification algorithms. Expert Syst. Appl. 82: 128-150 (2017) - 2016
- [j4]Chongsheng Zhang, Jingjun Bi, Changchang Liu, Ke Chen:
A parameter-free label propagation algorithm for person identification in stereo videos. Neurocomputing 218: 72-78 (2016) - 2014
- [j3]Fu Xiao, Chongsheng Zhang, Zhi-jie Han:
Big Data in Ubiquitous Wireless Sensor Networks. Int. J. Distributed Sens. Networks 10 (2014) - [j2]Chongsheng Zhang, Florent Masseglia, Yves Lechevallier:
The anti-bouncing data stream model for web usage streams with intralinkings. Inf. Sci. 278: 757-772 (2014) - 2013
- [j1]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)
Conference and Workshop Papers
- 2023
- [c19]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: 6602-6611 - [c18]Gaojuan Fan, Jie Wang, Chongsheng Zhang:
SACA-UNet:Medical Image Segmentation Network Based on Self-Attention and ASPP. CBMS 2023: 317-322 - 2022
- [c17]Gaojuan Fan, Huaiyuan Xiao, Chongsheng Zhang, George Almpanidis, Philippe Fournier-Viger, Hamido Fujita:
Parallel High Utility Itemset Mining. IEA/AIE 2022: 819-830 - [c16]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: 4482-4492 - 2020
- [c15]Chongsheng Zhang, Ruixing Zong, Shuang Cao, Yi Men, Bofeng Mo:
AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining. IJCAI 2020: 5309-5311 - 2017
- [c14]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: 933-938 - 2014
- [c13]Chongsheng Zhang, Roberto D'Ambrosio, Paolo Soda:
Real-Time Biomedical Instance Selection. CBMS 2014: 507-508 - [c12]Chongsheng Zhang, Roberto D'Ambrosio, Paolo Soda:
"Real-time" Instance Selection for Biomedical Data Classification. DaWaK 2014: 394-404 - [c11]Chongsheng Zhang:
A system for efficient and simultaneous processing of moving K nearest neighbor and spatial keyword queries. SSDBM 2014: 50:1-50:4 - 2013
- [c10]Chongsheng Zhang, Yuan Hao, Mirjana Mazuran, Carlo Zaniolo, Hamid Mousavi, Florent Masseglia:
Mining frequent itemsets over tuple-evolving data streams. SAC 2013: 267-274 - 2012
- [c9]Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang:
Discovering Highly Informative Feature Set over High Dimensions. ICTAI 2012: 1059-1064 - [c8]Chongsheng Zhang, Paolo Soda:
A Double-Ensemble Approach for Classifying Skewed Data Streams. PAKDD (1) 2012: 254-265 - [c7]Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang:
Modeling and Clustering Users with Evolving Profiles in Usage Streams. TIME 2012: 133-140 - 2010
- [c6]Chongsheng Zhang, Florent Masseglia:
Discovering Highly Informative Feature Sets from Data Streams. DEXA (1) 2010: 91-104 - [c5]Chongsheng Zhang, Florent Masseglia:
Extraction d'itemsets distinctifs dans les flux de données. EGC 2010: 187-198 - [c4]Chongsheng Zhang, Florent Masseglia, Yves Lechevallier:
ABS: The Anti Bouncing Model for Usage Data Streams. ICDM 2010: 1169-1174 - 2008
- [c3]Chongsheng Zhang, Zhongbo Wu, Bo Qu, Hong Chen:
Mining Top-n Local Outliers in Constrained Spatial Networks. ADMA 2008: 725-732 - [c2]Chongsheng Zhang, Zhongbo Wu, Bo Qu, Hong Chen, Xing Hao:
On Efficient Processing of Multiple KNN Queries in Constrained Spatial Networks. FSKD (4) 2008: 261-265 - [c1]Zhongbo Wu, Chongsheng Zhang, Hong Chen:
Energy-level based Routing Algorithm of Multi-sink Sensor Networks. ICNSC 2008: 977-982
Informal and Other Publications
- 2024
- [i5]Chongsheng Zhang, George Almpanidis, Gaojuan Fan, Binquan Deng, Yanbo Zhang, Ji Liu, Aouaidjia Kamel, Paolo Soda, João Gama:
A Systematic Review on Long-Tailed Learning. CoRR abs/2408.00483 (2024) - [i4]Fares Bougourzi, Fadi Dornaika, Chongsheng Zhang:
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild. CoRR abs/2408.13774 (2024) - 2023
- [i3]Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou:
On Mask-based Image Set Desensitization with Recognition Support. CoRR abs/2312.08975 (2023) - 2021
- [i2]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 abs/2109.00201 (2021) - 2019
- [i1]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 abs/1903.10412 (2019)
Coauthor Index
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