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

Chongsheng Zhang, Yaxin Hou, Ke Chen, Shuang Cao, Gaojuan Fan, Ji Liu.
AAAI Conference on Artificial Intelligence (AAAI), 2023

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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.
The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(SIGKDD 2022): 4482-4492. CCF-A类顶级国际会议.

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

Fadi Dornaika, Jingjun Bi, Chongsheng Zhang.
Neural Networks, 158: 188-196 (2023). SCI 一区.

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

Fadi Dornaika, Danyang Sun, Karim Hammoudi, Jama Charafeddine, Adnane Cabani, Chongsheng Zhang.
Pattern Recognition, 2023, 109481. SCI 一区

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 Transactions on Artificial Intelligence,2022

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 Transactions on Intelligent Transportation Systems [J], 22(7): 4727-4743 (2021). SCI 二区.

AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining

Chongsheng Zhang, Ruixing Zong, Shuang Cao, Yi Men, Bofeng Mo.
The Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2020): 5309-5311. CCF-A类顶级国际会议.

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

Chongsheng Zhang, Jingjun Bi
Knowledge-Based Systems, 174: 137-143 (2019). SCI 二区. ESI高被引论文、ESI热点论文.

On Incremental Learning for Gradient Boosting Decision Trees

Chongsheng Zhang, Yuan Zhang, et al.
Neural Processing Letters, 50(1): 957-987 (2019).

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

Jingjun Bi, Chongsheng Zhang(*).
Knowledge-Based Systems, 158: 81-93 (2018). SCI 二区. ESI高被引论文、ESI热点论文. (Spotlight)

An empirical evaluation of high utility itemset mining algorithms

Chongsheng Zhang, George Almpanidis, Wanwan Wang, and Changchang Liu.
Expert Systems with applications, 101: 91-115 (2018). SCI 二区， JCR-TOP.

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

Chongsheng Zhang, Changchang Liu, Xiangliang Zhang, George Almpanidis.
Expert Systems with Applications, 82: 128-150 (2017). SCI 二区， JCR-TOP. ESI高被引论文、ESI热点论文. 引用次数：约400次.

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

Chongsheng Zhang, Jingjun Bi, Paolo Soda.
2017 IEEE International Conference on Bioinformatics and Biomedicine(BIBM 2017): 933-938. CCF-B类国际会议

Identity-aware convolutional neural networks for facial expression recognition

Chongsheng Zhang, Pengyou Wang, Ke Chen, and Joni-Kristian Kämäräinen.
Journal of Systems engineering and Electronics (Oral)

Turning wingbeat sounds into spectrum images for acoustic insect classification

Chongsheng Zhang, Pengyou Wang, Hui Guo, Gaojuan Fan, Ke Chen, and Joni-Kristian Kämäräinen.
Electronics Letters

A parameter-free label propagation algorithm for person identification in stereo videos

Chongsheng Zhang, Jingjun Bi, Changchang Liu, Ke Chen.
Neurocomputing

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

Chongsheng Zhang, Florent Masseglia, Yves Lechevallier.
Information Sciences

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

Chongsheng Zhang.
International Conference on Scientific and Statistical Database Management

Mining frequent itemsets over tuple-evolving data streams

Chongsheng Zhang, Yuan Hao, Mirjana Mazuran, Carlo Zaniolo, Hamid Mousavi, Florent Masseglia.
The 28th Annual ACM Symposium on Applied Computing (SAC 2013): 267-274.

Discovering Highly Informative Feature Set over High Dimensions

Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang
IEEE 24th International Conference on Tools with Artificial Intelligence (ICTAI 2012): 1059-1064. CCF-C类国际会议.

A Double-Ensemble Approach for Classifying Skewed Data Streams

Chongsheng Zhang, Paolo Soda.
The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012): 254-265. CCF-C类国际会议.

Modeling and Clustering Users with Evolving Profiles in Usage Streams

Chongsheng Zhang, Florent Masseglia, Xiangliang Zhang.
The 19th International Symposium on Temporal Representation and Reasoning (TIME 2012)

Discovering Highly Informative Feature Sets from Data Streams

Chongsheng Zhang, Florent Masseglia.
21st International Conference on Database and Expert Systems Applications (DEXA 2010)

ABS: The Anti Bouncing Model for Usage Data Streams

Chongsheng Zhang, Florent Masseglia, Yves Lechevallier.
The 10th IEEE International Conference on Data Mining (ICDM 2010)

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.
Applied Intelligence, 53(5): 5449-5461 (2023). SCI 二区

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.
Applied Intelligence, 53(19): 22834-22849 (2023). SCI 二区

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.
Applied Intelligence, 52(11): 12241-12257 (2022). SCI 二区

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

Gaojuan Fan, Jie Wang, Chongsheng Zhang(*).
The 36th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2023): 317-322.

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"Real-time" Instance Selection for Biomedical Data Classification

Chongsheng Zhang, Roberto D'Ambrosio, Paolo Soda.
The 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2014): 394-404.