Efficient Sampling Methods for Shortest Path Query over Uncertain Graphs. - Yurong Cheng; Ye Yuan 001; Guoren Wang; Baiyou Qiao; Zhiqiong Wang (DASFAA (2), 2014)

Breast tumor detection in digital mammography based on extreme learning machine. - Zhiqiong Wang; Ge Yu 001; Yan Kang; Yingjie Zhao; Qixun Qu (Neurocomputing, 2014)

ELM ∗ : distributed extreme learning machine with MapReduce. - Junchang Xin; Zhiqiong Wang; Chen Chen 014; LinLin Ding; Guoren Wang; Yuhai Zhao (World Wide Web, 2014)

Elastic extreme learning machine for big data classification. - Junchang Xin; Zhiqiong Wang; Luxuan Qu; Guoren Wang (Neurocomputing, 2015)

A control scheme for autocorrelated bivariate binomial data. - Zhen He 001; Zhiqiong Wang; Fugee Tsung; Yanfen Shang (Comput. Ind. Eng., 2016)

A-ELM⁎: Adaptive Distributed Extreme Learning Machine with MapReduce. - Junchang Xin; Zhiqiong Wang; Luxuan Qu; Ge Yu 001; Yan Kang (Neurocomputing, 2016)

Breast tumor detection in double views mammography based on extreme learning machine. - Zhiqiong Wang; Qixun Qu; Ge Yu 001; Yan Kang (Neural Comput. Appl., 2016)

Batch images compression algorithm based on the common features. - Zhiqiong Wang; Zhixiang Lin; Lining Xu; Yue Zhao; Junchang Xin (CISP-BMEI, 2017)

Routing tree maintenance based on trajectory prediction in mobile sensor networks. - Junchang Xin; Teng Li; Pei Wang; Zhiqiong Wang (Memetic Comput., 2017)

NMR image segmentation based on Unsupervised Extreme Learning Machine. - Junchang Xin; Zhongyang Wang; Shuo Tian; Zhiqiong Wang (Multidimens. Syst. Signal Process., 2017)

Decentralized Data Integrity Verification Model in Untrusted Environment. - Kun Hao; Junchang Xin; Zhiqiong Wang; Zhuochen Jiang; Guoren Wang (APWeb/WAIM (2), 2018)

ElasticChain: Support Very Large Blockchain by Reducing Data Redundancy. - Dayu Jia; Junchang Xin; Zhiqiong Wang; Wei Guo 016; Guoren Wang (APWeb/WAIM (2), 2018)

Efficient Complex Social Event-Participant Planning Based on Heuristic Dynamic Programming. - Junchang Xin; Mo Li 004; Wangzihao Xu; Yizhu Cai; Minhua Lu; Zhiqiong Wang (DASFAA (2), 2018)

An Optimized Data Distribution Model for ElasticChain to Support Blockchain Scalable Storage. - Dayu Jia; Junchang Xin; Zhiqiong Wang; Wei Guo 016; Guoren Wang (ELM, 2018)

$ rho$ -Dominant Skyline Computation on Data Stream. - Zhiqiong Wang; Junchang Xin; Linlin Ding; Jianmin Ba; Xiaosong Gao (IEEE Access, 2018)

Nonparametric control schemes for profiles with attribute data. - Yanfen Shang; Zhiqiong Wang; Yang Zhang 078 (Comput. Ind. Eng., 2018)

Improved lung nodule diagnosis accuracy using lung CT images with uncertain class. - Zhiqiong Wang; Junchang Xin; Peishun Sun; Zhixiang Lin; Yudong Yao; Xiaosong Gao (Comput. Methods Programs Biomed., 2018)

Count data monitoring: Parametric or nonparametric? - Zhiqiong Wang; Peihua Qiu (Qual. Reliab. Eng. Int., 2018)

Accelerating Minimum Temporal Paths Query Based on Dynamic Programming. - Mo Li 004; Junchang Xin; Zhiqiong Wang; Huilin Liu (ADMA, 2019)

Blockchain-Based Outsourced Storage Schema in Untrusted Environment. - Kun Hao; Junchang Xin; Zhiqiong Wang; Keyan Cao; Guoren Wang (IEEE Access, 2019)

Breast Cancer Detection Using Extreme Learning Machine Based on Feature Fusion With CNN Deep Features. - Zhiqiong Wang; Mo Li 004; Huaxia Wang; Hanyu Jiang; Yudong Yao; Hao Zhang 017; Junchang Xin (IEEE Access, 2019)

Control charts for monitoring two-dimensional spatial count data with spatial correlations. - Yanfen Shang; Tao Li; Lisha Song; Zhiqiong Wang (Comput. Ind. Eng., 2019)

Nonparametric monitoring of multiple count data. - Peihua Qiu; Zhen He 001; Zhiqiong Wang (IISE Trans., 2019)

A unified distributed ELM framework with supervised, semi-supervised and unsupervised big data learning. - Zhiqiong Wang; Luxuan Qu; Junchang Xin; Hongxu Yang; Xiaosong Gao (Memetic Comput., 2019)

Distributed Local Bayesian Network for Gene Regulatory Network Reconstruction. - Luxuan Qu; Zhiqiong Wang; Yueyang Huo; Yuezhou Zhou; Junchang Xin; Wei Qian 001 (BigCom, 2020)

CrashSim: An Efficient Algorithm for Computing SimRank over Static and Temporal Graphs. - Mo Li 004; Farhana Murtaza Choudhury; Renata Borovica-Gajic; Zhiqiong Wang; Junchang Xin; Jianxin Li 001 (ICDE, 2020)

Dual-Enhanced Registration for Field of View Ultrasound Sonography. - Zijia Fan; Zhongyang Wang; Junchang Xin; Zhiqiong Wang; Lu Liu; Xia Zhang; Jiren Liu (IEEE Access, 2020)

Computer-Aided Diagnosis Based on Extreme Learning Machine: A Review. - Zhiqiong Wang; Yiqi Luo; Junchang Xin; Hao Zhang 017; Luxuan Qu; Zhongyang Wang; Yudong Yao; Wancheng Zhu; Xingwei Wang 001 (IEEE Access, 2020)

A Survey of Distributed and Parallel Extreme Learning Machine for Big Data. - Zhiqiong Wang; Ling Sui; Junchang Xin; Luxuan Qu; Yudong Yao (IEEE Access, 2020)

Outsourced data integrity verification based on blockchain in untrusted environment. - Kun Hao; Junchang Xin; Zhiqiong Wang; Guoren Wang (World Wide Web, 2020)

A Single Source Optimal Reachable Path Query Method for Gene Regulatory Network. - Zhaoyuan Zhang; Zhiqiong Wang; Ziheng Ding; Hanwen Wang; Keyi Liu; Weiyiqi Wang (CONF-CDS, 2021)

An optimization model of electronic medical record query processing on blockchain. - Yiming Lv; Wenxing Liu; Jie Zhong; Chuanbo Zhang; Kexin Wang; Zhiqiong Wang (ICAIIS, 2021)

Semi-supervised Surgical Tool Detection Based on Highly Confident Pseudo Labeling and Strong Augmentation Driven Consistency. - Wenjing Jiang; Tong Xia; Zhiqiong Wang; Fucang Jia (DGM4MICCAI/DALI@MICCAI, 2021)

Optimized Data Storage Method for Sharding-Based Blockchain. - Dayu Jia; Junchang Xin; Zhiqiong Wang; Guoren Wang (IEEE Access, 2021)

Dynamic Bayesian Network Modeling Based on Structure Prediction for Gene Regulatory Network. - Luxuan Qu; Zhiqiong Wang; Chan Li; Shanghui Guo; Junchang Xin; Yuezhou Zhou; Weiyiqi Wang (IEEE Access, 2021)

Computer-Aided Dementia Diagnosis Based on Hierarchical Extreme Learning Machine. - Zhongyang Wang; Junchang Xin; Zhiqiong Wang; Huizi Gu; Yue Zhao; Wei Qian 001 (Cogn. Comput., 2021)

Development and Validation of an Unsupervised Feature Learning System for Leukocyte Characterization and Classification: A Multi-Hospital Study. - Hong Yan; Xuanyu Mao; Xu Yang; Yongquan Xia; Chengbin Wang; Junjun Wang; Rui Xia; Xuejing Xu; Zhiqiang Wang; Zhiyang Li; Xie Zhao; Yan Li; et al. (Int. J. Comput. Vis., 2021)

Change-point detection in Phase I for autocorrelated Poisson profiles with random or unbalanced designs. - Shuguang He 001; Lisha Song; Yanfen Shang; Zhiqiong Wang (Int. J. Prod. Res., 2021)

SE-Chain: A Scalable Storage and Efficient Retrieval Model for Blockchain. - Dayu Jia; Junchang Xin; Zhiqiong Wang; Han Lei; Guoren Wang (J. Comput. Sci. Technol., 2021)

Nonparametric monitoring schemes in Phase II for ordinal profiles with application to customer satisfaction monitoring. - Ying Wang; Jinmeng Li; Yanhui Ma; Lisha Song; Zhiqiong Wang (Comput. Ind. Eng., 2022)

Hybrid High-order Brain Functional Networks for Schizophrenia-Aided Diagnosis. - Junchang Xin; Keqi Zhou; Zhongyang Wang; Zhiqiong Wang; Jinyi Chen; Xinlei Wang; Qi Chen (Cogn. Comput., 2022)

On efficient top-k transaction path query processing in blockchain database. - Kun Hao; Junchang Xin; Zhiqiong Wang; Zhongming Yao; Guoren Wang (Data Knowl. Eng., 2022)

A nonparametric CUSUM scheme for monitoring multivariate time-between-events-and-amplitude data with application to automobile painting. - Zhen He 001; Yuan Gao 022; Liang Qu; Zhiqiong Wang (Int. J. Prod. Res., 2022)

An importance measure of a CNC lathe considering failure correlations. - Dongwei Gu; Yuhong Zhong; Zhen Xu; Bingkun Chen; Zhiqiong Wang (Qual. Reliab. Eng. Int., 2022)

ELM-based data distribution model in ElasticChain. - Dayu Jia; Junchang Xin; Zhiqiong Wang; Han Lei; Guoren Wang (World Wide Web, 2022)

A Fine-Grained Verification Method for Blockchain Data Based on Merkle Path Sharding. - Liang Wen; Zhiqiong Wang; Tingyu Cui; Caiyun Shi; Baoting Li; Zhongming Yao (ADMA (4), 2023)

Efficient Blockchain Data Trusty Provenance Based on the W3C PROV Model. - Zhongming Yao; Zhiqiong Wang; Liang Wen; Kun Hao; Junming Xu (ADMA (5), 2023)

Influence Maximization in Attributed Social Network Based on Susceptibility Cascade Model. - Jinyi Chen; Junchang Xin; Shengnan Lei; Keqi Zhou; Baoting Li; Zhiqiong Wang (APWeb/WAIM (4), 2023)

Mining Discriminative Sub-network Pairs in Multi-frequency Brain Functional Networks. - Jinyi Chen; Junchang Xin; Zhongyang Wang; Xinlei Wang; Sihan Dong; Zhiqiong Wang (DASFAA (3), 2023)

HAEP: Heterogeneous Environment Aware Edge Partitioning for Power-Law Graphs. - Xian Zhang; Junchang Xin; Jinyi Chen; Beibei Wang; Zhiqiong Wang (DASFAA (3), 2023)

A Dynamic Cross-Scale Transformer with Dual-Compound Representation for 3D Medical Image Segmentation. - Ruixia Zhang; Zhiqiong Wang; Zhongyang Wang; Junchang Xin (ICASSP, 2023)

LGSleepNet: An Automatic Sleep Staging Model Based on Local and Global Representation Learning. - Qi Shen 002; Junchang Xin; Xinyao Liu; Zhongyang Wang; Chuangang Li; Zhihong Huang; Zhiqiong Wang (IEEE Trans. Instrum. Meas., 2023)

An evolving graph convolutional network for dynamic functional brain network. - Xinlei Wang; Junchang Xin; Zhongyang Wang; Qi Chen; Zhiqiong Wang (Appl. Intell., 2023)

Efficient and Secure Data Sharing Scheme on Interoperable Blockchain Database. - Kun Hao; Junchang Xin; Zhiqiong Wang; Zhongming Yao; Guoren Wang (IEEE Trans. Big Data, 2023)

Deep learning in medical image super resolution: a review. - Hujun Yang; Zhongyang Wang; Xinyao Liu; Chuangang Li; Junchang Xin; Zhiqiong Wang (Appl. Intell., 2023)

Effective and efficient community search with size constraint on bipartite graphs. - Keqi Zhou; Junchang Xin; Jinyi Chen; Xian Zhang; Beibei Wang; Zhiqiong Wang (Inf. Sci., 2023)

Multi-scale Context-Aware Networks Based on Fragment Association for Human Activity Recognition. - Zhiqiong Wang; Hanyu Liu; Boyang Zhao; Qi Shen 002; Mingzhe Li; Ningfeng Que; Mingke Yan; Junchang Xin (IJCAI, 2024)

Robust Sleep Staging over Incomplete Multimodal Physiological Signals via Contrastive Imagination. - Qi Shen 002; Junchang Xin; Bing Tian Dai; Shudi Zhang; Zhiqiong Wang (NeurIPS, 2024)

A data-driven monitoring scheme for multivariate multimodal data. - Zhiqiong Wang; Renping Gong; Lisha Song; Shu-Guang He; Yuan Gao (Comput. Ind. Eng., 2024)

Graph kernel of brain networks considering functional similarity measures. - Xinlei Wang; Junchang Xin; Zhongyang Wang; Luxuan Qu; Jiani Li; Zhiqiong Wang (Comput. Biol. Medicine, 2024)

Gene regulatory networks optimisation method based on joint evaluation of network structure and node attribute. - Luxuan Qu; Junchang Xin; Yinghui Xiang; Mingcan Wang; Zhiqiong Wang (Int. J. Simul. Process. Model., 2024)

BIC-LP: A Hybrid Higher-Order Dynamic Bayesian Network Score Function for Gene Regulatory Network Reconstruction. - Junchang Xin; Mingcan Wang; Luxuan Qu; Qi Chen; Weiyiqi Wang; Zhiqiong Wang (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Novel nonparametric control charts for monitoring dispersion of count data. - Zhiqiong Wang; Qingxia Wu; Peihua Qiu (Qual. Reliab. Eng. Int., 2024)

CPD-NSL: A Two-Stage Brain Effective Connectivity Network Construction Method Based on Dynamic Bayesian Network. - Zhiqiong Wang; Qi Chen; Zhongyang Wang; Xinlei Wang; Luxuan Qu; Junchang Xin (Cogn. Comput., 2024)

VGQ: Enabling Verifiable Graph Queries on Blockchain Systems. - Zhongming Yao; Tianyi Li 005; Junchang Xin; Yushuai Li; Chenxu Wang 001; Zhiqiong Wang; Divesh Srivastava; Christian S. Jensen (ICDE, 2025)

Multi-task self-supervised learning framework via contrastive restoration for sleep apnea syndrome detection using single-lead ECG. - Qi Shen 002; Guanzheng Liu; Zhiqiong Wang; Xinyao Liu; Junchang Xin (Biomed. Signal Process. Control., 2025)

Phase I change-point detection for ordinal profiles with arbitrary design: A nonparametric method and its application to warranty claims analysis. - Zhiqiong Wang; Lu Zhang; Ying Wang; Lisha Song; Yangyang Zang; Young-Mok Bae (Comput. Ind. Eng., 2025)

Automatic medical report generation based on deep learning: A state of the art survey. - Xinyao Liu; Junchang Xin; Qi Shen 002; Zhihong Huang; Zhiqiong Wang (Comput. Medical Imaging Graph., 2025)

Label correlated contrastive learning for medical report generation. - Xinyao Liu; Junchang Xin; Bingtian Dai; Qi Shen 002; Zhihong Huang; Zhiqiong Wang (Comput. Methods Programs Biomed., 2025)

Inferring Gene Regulatory Networks via Directed Graph Contrastive Representation Learning. - Kaifu Long; Luxuan Qu; Weiyiqi Wang; Zhiqiong Wang; Mingcan Wang; Junchang Xin (Knowl. Based Syst., 2025)

RLBayes: a Bayesian Network Structure Learning Algorithm via Reinforcement Learning-Based Search Strategy. - Mingcan Wang; Junchang Xin; Luxuan Qu; Qi Chen; Zhiqiong Wang (CoRR, 2025)

End-to-End Clustering Enhanced Contrastive Learning for Radiology Reports Generation. - Xinyao Liu; Junchang Xin; Qi Shen 002; Chuangang Li; Zhihong Huang; Zhiqiong Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Identifying key nodes for enhancing community stability in bipartite networks. - Jinyi Chen; Farhana Murtaza Choudhury; Junchang Xin; Zhiqiong Wang (World Wide Web (WWW), 2025)

BCT-Net: semantic-guided breast cancer segmentation on BUS. - Junchang Xin; Yaqi Yu; Qi Shen 002; Shudi Zhang; Na Su; Zhiqiong Wang (Medical Biol. Eng. Comput., 2025)

Efficient stable community search in temporal signed graphs. - Jinyi Chen; Junchang Xin; Farhana Choudhury; Keqi Zhou; Zhiqiong Wang (Knowl. Inf. Syst., 2025)

A Bayesian network based framework for ripple effect analysis in cross-tier shipbuilding supply chains. - Yiqi Zhang; Yanhui Ma; Le Wang; Zhiqiong Wang; Lixia Zhang (Expert Syst. Appl., 2026)