Mining Top-n Local Outliers in Constrained Spatial Networks. - Chongsheng Zhang; Zhongbo Wu; Bo Qu; Hong Chen 001 (ADMA, 2008)

On Efficient Processing of Multiple KNN Queries in Constrained Spatial Networks. - Chongsheng Zhang; Zhongbo Wu; Bo Qu; Hong Chen 001; Xing Hao (FSKD (4), 2008)

Energy-level based Routing Algorithm of Multi-sink Sensor Networks. - Zhongbo Wu; Chongsheng Zhang; Hong Chen 001 (ICNSC, 2008)

Discovering Highly Informative Feature Sets from Data Streams. - Chongsheng Zhang; Florent Masseglia (DEXA (1), 2010)

Extraction d'itemsets distinctifs dans les flux de données. - Chongsheng Zhang; Florent Masseglia (EGC, 2010)

ABS: The Anti Bouncing Model for Usage Data Streams. - Chongsheng Zhang; Florent Masseglia; Yves Lechevallier (ICDM, 2010)

Discovering Highly Informative Feature Set over High Dimensions. - Chongsheng Zhang; Florent Masseglia; Xiangliang Zhang 001 (ICTAI, 2012)

A Double-Ensemble Approach for Classifying Skewed Data Streams. - Chongsheng Zhang; Paolo Soda (PAKDD (1), 2012)

Modeling and Clustering Users with Evolving Profiles in Usage Streams. - Chongsheng Zhang; Florent Masseglia; Xiangliang Zhang 001 (TIME, 2012)

Mining frequent itemsets over tuple-evolving data streams. - Chongsheng Zhang; Yuan Hao; Mirjana Mazuran; Carlo Zaniolo; Hamid Mousavi 001; Florent Masseglia (SAC, 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)

Real-Time Biomedical Instance Selection. - Chongsheng Zhang; Roberto D'Ambrosio; Paolo Soda (CBMS, 2014)

"Real-time" Instance Selection for Biomedical Data Classification. - Chongsheng Zhang; Roberto D'Ambrosio; Paolo Soda (DaWaK, 2014)

A system for efficient and simultaneous processing of moving K nearest neighbor and spatial keyword queries. - Chongsheng Zhang (SSDBM, 2014)

Big Data in Ubiquitous Wireless Sensor Networks. - Fu Xiao 001; Chongsheng Zhang; Zhi-jie Han 001 (Int. J. Distributed Sens. Networks, 2014)

The anti-bouncing data stream model for web usage streams with intralinkings. - Chongsheng Zhang; Florent Masseglia; Yves Lechevallier (Inf. Sci., 2014)

A parameter-free label propagation algorithm for person identification in stereo videos. - Chongsheng Zhang; Jingjun Bi; Changchang Liu; Ke Chen 004 (Neurocomputing, 2016)

Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain. - Chongsheng Zhang; Jingjun Bi; Paolo Soda (BIBM, 2017)

An up-to-date comparison of state-of-the-art classification algorithms. - Chongsheng Zhang; Changchang Liu; Xiangliang Zhang 001; George Almpanidis (Expert Syst. Appl., 2017)

An empirical evaluation of high utility itemset mining algorithms. - Chongsheng Zhang; George Almpanidis; Wanwan Wang; Changchang Liu (Expert Syst. Appl., 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)

Gridvoronoi: An Efficient Spatial Index for Nearest Neighbor Query Processing. - Chongsheng Zhang; George Almpanidis; Faegheh Hasibi; Gaojuan Fan (IEEE Access, 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 004 (CoRR, 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)

On Incremental Learning for Gradient Boosting Decision Trees. - Chongsheng Zhang; Yuan Zhang; Xianjin Shi; George Almpanidis; Gaojuan Fan; Xiajiong Shen (Neural Process. Lett., 2019)

AI-Powered Oracle Bone Inscriptions Recognition and Fragments Rejoining. - Chongsheng Zhang; Ruixing Zong; Shuang Cao; Yi Men; Bofeng Mo (IJCAI, 2020)

Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem. - Asma Belhadi; Youcef Djenouri; Jerry Chun-Wei Lin; Chongsheng Zhang; Alberto Cano 001 (IEEE Access, 2020)

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)

Street View Text Recognition With Deep Learning for Urban Scene Understanding in Intelligent Transportation Systems. - Chongsheng Zhang; Weiping Ding 001; Guowen Peng; Feifei Fu; Wei Wang 012 (IEEE Trans. Intell. Transp. Syst., 2021)

Parallel High Utility Itemset Mining. - Gaojuan Fan; Huaiyuan Xiao; Chongsheng Zhang; George Almpanidis; Philippe Fournier-Viger; Hamido Fujita (IEA/AIE, 2022)

Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme. - Chongsheng Zhang; Bin Wang 063; Ke Chen 004; Ruixing Zong; Bofeng Mo; Yi Men; George Almpanidis; Shanxiong Chen; Xiangliang Zhang 001 (KDD, 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)

Character-Level Street View Text Spotting Based on Deep Multisegmentation Network for Smarter Autonomous Driving. - Chongsheng Zhang; Yuefeng Tao; Kai Du; Weiping Ding 001; Bin Wang 062; Ji Liu 003; Wei Wang 012 (IEEE Trans. Artif. Intell., 2022)

Quality-Aware Self-Training on Differentiable Synthesis of Rare Relational Data. - Chongsheng Zhang; Yaxin Hou; Ke Chen 004; Shuang Cao; Gaojuan Fan; Ji Liu 003 (AAAI, 2023)

SACA-UNet:Medical Image Segmentation Network Based on Self-Attention and ASPP. - Gaojuan Fan; Jie Wang; Chongsheng Zhang (CBMS, 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, 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 001 (Appl. Intell., 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 001 (Appl. Intell., 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., 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., 2023)

Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild. - Fares Bougourzi; Fadi Dornaika; Chongsheng Zhang (CoRR, 2024)

imFTP: Deep imbalance learning via fuzzy transition and prototypical learning. - Yaxin Hou; Weiping Ding 001; Chongsheng Zhang (Inf. Sci., 2024)

TextFuse: Fusing Deep Scene Text Detection Models for Enhanced Performance. - Xianjin Shi; Guowen Peng; Xiajiong Shen; Chongsheng Zhang (Multim. Tools Appl., 2024)

On mask-based image set desensitization with recognition support. - Qilong Li; Ji Liu 003; Yifan Sun; Chongsheng Zhang; Dejing Dou (Appl. Intell., 2024)

RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism. - Weiping Ding 001; Ying Sun; Jiashuang Huang; Hengrong Ju; Chongsheng Zhang; Guang Yang 006; Chin-Teng Lin (Inf. Sci., 2024)

Neighbor-Enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks. - Xiangyu Wei; Wei Wang 012; Chongsheng Zhang; Weiping Ding 001; Bin Wang 062; Yaguan Qian; Zhen Han 001; Chunhua Su (ACM Trans. Knowl. Discov. Data, 2024)

Spatio-temporal invariant descriptors for skeleton-based human action recognition. - Aouaidjia Kamel; Chongsheng Zhang; Ioannis Pitas (Inf. Sci., 2025)

Open-set long-tailed recognition via orthogonal prototype learning and false rejection correction. - Binquan Deng; Aouaidjia Kamel; Chongsheng Zhang (Neural Networks, 2025)

UCR: A unified character-radical dual-supervision framework for accurate Chinese character recognition. - Qilong Li; Chongsheng Zhang (Pattern Recognit., 2025)

Improving action segmentation via explicit similarity measurement. - Aouaidjia Kamel; Wenhao Zhang; Aofan Li; Chongsheng Zhang (CoRR, 2025)

QuinNet: Quintuple u-shape networks for scale- and shape-variant lesion segmentation. - Gaojuan Fan; Jie Wang; Ruixue Xia; Funa Zhou; Chongsheng Zhang (Appl. Intell., 2025)

3D Human Pose Estimation via Spatial Graph Order Attention and Temporal Body Aware Transformer. - Aouaidjia Kamel; Aofan Li; Wenhao Zhang; Chongsheng Zhang (CoRR, 2025)

OBD-Finder: Explainable Coarse-to-Fine Text-Centric Oracle Bone Duplicates Discovery. - Chongsheng Zhang; Shuwen Wu; Yingqi Chen; Matthias Aßenmacher; Christian Heumann; Yi Men; Gaojuan Fan; João Gama 001 (CoRR, 2025)

PACAF-Net: pixel shuffling based fiderality-preserved up/downsampling and adaptive cross-attention fusion for effective medical image segmentation. - Yuanhang Cai; Aouaidjia Kamel; Chongsheng Zhang (Signal Image Video Process., 2025)

Q-BLAISE: Quantum-Resilient Blockchain and AI-Enhanced Security Protocol for Smart Grid IoT. - Hafiz Muhammad Sanaullah Badar; Shafiq Ahmed; Nadeem Iqbal Kajla 003; Gaojuan Fan; Chongsheng Zhang (IEEE Trans. Consumer Electron., 2025)

A Systematic Review on Long-Tailed Learning. - Chongsheng Zhang; George Almpanidis; Gaojuan Fan; Binquan Deng; Yanbo Zhang; Ji Liu 003; Aouaidjia Kamel; Paolo Soda; João Gama 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)