Kejia Zhang

According to our database, Kejia Zhang authored at least 54 papers between 2007 and 2025.

Collaborative distances:

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

2025

Contrastive learning for next-basket recommendation.

Shaoqiang Zhu, Qiang Wang, Kejia Zhang, Haiwei Pan

World Wide Web (WWW), August, 2025

Predictive control approach incorporating incremental learning.

Jian Chen, Haiwei Pan, Kejia Zhang, Haiyan Lan, Xu Xu, Wenhui Luo

Appl. Intell., April, 2025

Prototype-based Personalized Federated Learning for medical image classification.

Chunling Chen, Haiwei Pan, Kejia Zhang, Zhe Li, Fengming Yu

Knowl. Based Syst., 2025

Diffusion-based adversarial attack method against person re-identification.

Kejia Zhang, Yingxin Qin, Haiwei Pan, Baoying Ma

Expert Syst. Appl., 2025

A Federated Fairness-Aware Incentive Mechanism for medical image classification.

Chunling Chen, Haiwei Pan, Kejia Zhang, Zhe Li, Fengming Yu

Eng. Appl. Artif. Intell., 2025

Anatomy-Aware Mixture of Experts for Medical Vision-Language Pre-training.

Kun Shi, Haiwei Pan, Kejia Zhang

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

UoloNet: based on multi-tasking enhanced small target medical segmentation model.

Kejia Zhang, Lan Zhang, Haiwei Pan

Artif. Intell. Rev., February, 2024

CTS: A Consistency-Based Medical Image Segmentation Model.

Kejia Zhang, Lan Zhang, Haiwei Pan, Baolong Yu

CoRR, 2024

MambaDFuse: A Mamba-based Dual-phase Model for Multi-modality Image Fusion.

Zhe Li, Haiwei Pan, Kejia Zhang, Yuhua Wang, Fengming Yu

CoRR, 2024

Contextual Feature-Based Medical Visual Question Answering Aided by Learnable Matrix.

Cheng Gong, Haiwei Pan, Haiyan Lan, Kejia Zhang, Shuning He, Xiteng Jia

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Classifier Retraining with Gaussian-distributed Prototypes for Class-Imbalanced Federated Medical Image Classification.

Haiwei Pan, Chunling Chen, Kejia Zhang, Zhe Li, Fengming Yu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Reinforcement Learning from Clip.

Shaoqiang Zhu, Kejia Zhang, Haiwei Pan

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Open World Semi-supervised Learning Based on Multi-scale Enhanced Feature.

Tianming Zhang, Kejia Zhang, Haiwei Pan, Yuechun Feng

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

PW-CM: A Medical Image Segmentation Based on Consistency Model by Using Patches and Wavelet Transforms.

Lan Zhang, Kejia Zhang, Haiwei Pan

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

LPLA : The Adversarial Attack Against License Plate Recognition Systems.

Kejia Zhang, Yingxin Qin, Haiwei Pan

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Similarity Retrieval and Medical Cross-Modal Attention Based Medical Report Generation.

Xinxin Dong, Haiwei Pan, Haiyan Lan, Kejia Zhang, Chunling Chen

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Adversarial attack for object detectors under complex conditions.

Yingxin Qin, Kejia Zhang, Haiwei Pan

Comput. Secur., November, 2023

Multiscale and Multisubgraph-Based Segmentation Method for Ocean Remote Sensing Images.

Qianna Cui, Haiwei Pan, Kejia Zhang, Xiaokun Li, Haoyu Sun

IEEE Trans. Geosci. Remote. Sens., 2023

Malignant melanoma dermoscopy image classification method based on multi-modal medical features.

Xiaofei Bian, Haiwei Pan, Kejia Zhang, Peng Liu, Chunling Chen

IET Image Process., 2023

Enriching Semantic Features for Medical Report Generation.

Qi Luan, Haiwei Pan, Kejia Zhang, Kun Shi, Xiteng Jia

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Design and Implementation of Key-Value Database for Ship Virtual Test Platform Based on Distributed System.

Qingyu Meng, Kejia Zhang, Haiwei Pan, Maocai Yuan, Baoying Ma

Proceedings of the Data Science, 2023

Multi-level Relational Reasoning and Attention Network for Medical Visual Question Answering.

Xiteng Jia, Haiwei Pan, Kejia Zhang, Yuechun Feng, Shuning He, Cheng Gong

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Dual-Path Side Information Fusion for Sequential Recommendation.

Yu Zhang, Haiwei Pan, Kejia Zhang, Tianming Zhang, Qingquan Ren, Wenjie Li

Proceedings of the IEEE International Conference on Big Data, 2023

A Weak Supervision-based Robust Pretraining Method for Medical Visual Question Answering.

Shuning He, Haiwei Pan, Kejia Zhang, Cheng Gong, Zhe Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Skin lesion image classification method based on extension theory and deep learning.

Xiaofei Bian, Haiwei Pan, Kejia Zhang, Pengyuan Li, Jinbao Li, Chunling Chen

Multim. Tools Appl., 2022

AMAM: An Attention-based Multimodal Alignment Model for Medical Visual Question Answering.

Haiwei Pan, Shuning He, Kejia Zhang, Bo Qu, Chunling Chen, Kun Shi

Knowl. Based Syst., 2022

CMSuG: Competitive mechanism-based superpixel generation method for image segmentation.

Qianna Cui, Haiwei Pan, Xiaokun Li, Kejia Zhang, Weipeng Chen

J. Intell. Fuzzy Syst., 2022

NeDSeM: Neutrosophy Domain-Based Segmentation Method for Malignant Melanoma Images.

Xiaofei Bian, Haiwei Pan, Kejia Zhang, Chunling Chen, Peng Liu, Kun Shi

Entropy, 2022

M2FNet: Multi-granularity Feature Fusion Network for Medical Visual Question Answering.

He Wang, Haiwei Pan, Kejia Zhang, Shuning He, Chunling Chen

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

VMEKNet: Visual Memory and External Knowledge Based Network for Medical Report Generation.

Weipeng Chen, Haiwei Pan, Kejia Zhang, Xin Du, Qianna Cui

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

MACNet: Multi-Attention and Context Network for Polyp Segmentation.

Xiuzhen Hao, Haiwei Pan, Kejia Zhang, Chunling Chen, Xiaofei Bian, Shuning He

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Automatic Report Generation Method based on Multiscale Feature Extraction and Word Attention Network.

Xin Du, Haiwei Pan, Kejia Zhang, Shuning He, Xiaofei Bian, Weipeng Chen

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

Air Quality Prediction Model Based on Spatiotemporal Data Analysis and Metalearning.

Kejia Zhang, Xu Zhang, Hongtao Song, Haiwei Pan, Bangju Wang

Wirel. Commun. Mob. Comput., 2021

MuVAM: A Multi-View Attention-based Model for Medical Visual Question Answering.

Haiwei Pan, Shuning He, Kejia Zhang, Bo Qu, Chunling Chen, Kun Shi

CoRR, 2021

Channel Context and Dual-Domain Attention Based U-Net for Skin Lesion Attributes Segmentation.

XueLian Mu, Haiwei Pan, Kejia Zhang, Teng Teng, Xiaofei Bian, Chunling Chen

Proceedings of the Data Science, 2021

2020

WISE: Word-Level Interaction-Based Multimodal Fusion for Speech Emotion Recognition.

Guang Shen, Riwei Lai, Rui Chen, Yu Zhang, Kejia Zhang, Qilong Han, Hongtao Song

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019

DOAMI: A distributed on-line algorithm to minimize interference for routing in wireless sensor networks.

Kejia Zhang, Qilong Han, Zhipeng Cai, Guisheng Yin, Junyu Lin

Theor. Comput. Sci., 2019

A Novel Method for Location Privacy Protection in LBS Applications.

Dan Lu, Qilong Han, Kejia Zhang, Haitao Zhang, Bisma Gull

Secur. Commun. Networks, 2019

A multi-focus image fusion algorithm in 5G communications.

Jianguo Sun, Wenshan Wang, Kejia Zhang, Liguo Zhang, Yun Lin, Qilong Han, Qingan Da, Liang Kou

Multim. Tools Appl., 2019

Secure Mining of Association Rules in Distributed Datasets.

Qilong Han, Dan Lu, Kejia Zhang, Hongtao Song, Haitao Zhang

IEEE Access, 2019

A Prediction Method for Destination Based on the Semantic Transfer Model.

Qilong Han, Dan Lu, Kejia Zhang, Xiaojiang Du, Mohsen Guizani

IEEE Access, 2019

2018

Research on Trajectory Data Releasing Method via Differential Privacy Based on Spatial Partition.

Qilong Han, Zuobin Xiong, Kejia Zhang

Secur. Commun. Networks, 2018

HRR: a data cleaning approach preserving local differential privacy.

Qilong Han, Qianqian Chen, Liguo Zhang, Kejia Zhang

Int. J. Distributed Sens. Networks, 2018

Spatio-temporal Trajectory Dataset Privacy Based on Network Traffic Control.

Qilong Han, Qianqian Chen, Kejia Zhang, Xiaojiang Du, Nadra Guizani

CoRR, 2018

Lclean: A Plausible Approach to Individual Trajectory Data Sanitization.

Qilong Han, Dan Lu, Kejia Zhang, Xiaojiang Du, Mohsen Guizani

IEEE Access, 2018

2017

RiPPAS: A Ring-Based Privacy-Preserving Aggregation Scheme in Wireless Sensor Networks.

Kejia Zhang, Qilong Han, Zhipeng Cai, Guisheng Yin

Sensors, 2017

Optimal Task Recommendation for Spatial Crowdsourcing with Privacy Control.

Dan Lu, Qilong Han, Hongbin Zhao, Kejia Zhang

Proceedings of the Data Science, 2017

2016

OFDP: a distributed algorithm for finding disjoint paths with minimum total length in wireless sensor networks.

Kejia Zhang, Qilong Han, Guisheng Yin, Haiwei Pan

J. Comb. Optim., 2016

2015

Metric and Distributed On-Line Algorithm for Minimizing Routing Interference in Wireless Sensor Networks.

Kejia Zhang, Qilong Han, Zhipeng Cai, Guisheng Yin, Junyu Lin

Proceedings of the Combinatorial Optimization and Applications, 2015

2014

DFDP: A Distributed Algorithm for Finding Disjoint Paths in Wireless Sensor Networks with Correctness Guarantee.

Kejia Zhang, Guisheng Yin, Qilong Han, Junyu Lin

Int. J. Distributed Sens. Networks, 2014

OFDP: A Distributed Algorithm for Finding Disjoint Paths with Minimum Total Energy Cost in Wireless Sensor Networks.

Kejia Zhang, Hong Gao, Guisheng Yin, Qilong Han

Proceedings of the Wireless Algorithms, Systems, and Applications, 2014

Protecting Location Privacy Based on Historical Users over Road Networks.

Qilong Han, Hongbin Zhao, Zhiqiang Ma, Kejia Zhang, Haiwei Pan

Proceedings of the Wireless Algorithms, Systems, and Applications, 2014

2011

Finding multiple induced disjoint paths in general graphs.

Kejia Zhang, Hong Gao, Jianzhong Li

Inf. Process. Lett., 2011

2007

Unsupervised Outlier Detection in Sensor Networks Using Aggregation Tree.

Kejia Zhang, Shengfei Shi, Hong Gao, Jianzhong Li

Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007