Spectral clustering-based local and global structure preservation for feature selection. - Sihang Zhou 001; Xinwang Liu 002; Chengzhang Zhu; Qiang Liu 004; Jianping Yin (IJCNN, 2014)

A binary feature selection framework in kernel spaces. - Chengzhang Zhu; Xinwang Liu 002; Sihang Zhou 001; Qiang Liu 004; Jianping Yin (IJCNN, 2014)

A Novel Feature Selection Method Based on Category Distribution and Phrase Attributes. - Yi Zheng 002; Weihong Han; Chengzhang Zhu (ISCTCS, 2014)

An Improved Retinal Vessel Segmentation Method Based on Supervised Learning. - Chengzhang Zhu; Beiji Zou 001; Yao Xiang; Jinkai Cui; Hui Wu (CAD/Graphics, 2015)

CIS: Community-based information sharing mechanism for automotive IoT. - Qiang Liu 004; Chengzhang Zhu; Xiping Hu; Wentao Zhao (WF-IoT, 2015)

Surroundedness based multiscale saliency detection. - Beiji Zou 001; Qing Liu 003; Zailiang Chen 001; Hongpu Fu; Chengzhang Zhu (J. Vis. Commun. Image Represent., 2015)

Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF. - Lili Zhao; Kuan Li; Mao Wang; Jianping Yin; En Zhu; Chengkun Wu; Siqi Wang 001; Chengzhang Zhu (Comput. Biol. Medicine, 2016)

MI-ELM: Highly efficient multi-instance learning based on hierarchical extreme learning machine. - Qiang Liu 004; Sihang Zhou 001; Chengzhang Zhu; Xinwang Liu 002; Jianping Yin (Neurocomputing, 2016)

Natural scene text detection by multi-scale adaptive color clustering and non-text filtering. - Hui Wu; Beiji Zou 001; Yu-qian Zhao; Zailiang Chen 001; Chengzhang Zhu; Jianjing Guo (Neurocomputing, 2016)

Random Fourier extreme learning machine with ℓ2, 1-norm regularization. - Sihang Zhou 001; Xinwang Liu 002; Qiang Liu 004; Siqi Wang 001; Chengzhang Zhu; Jianping Yin (Neurocomputing, 2016)

Coupled Bayesian Matrix Factorization in Recommender Systems. - Xueci Zhao; Chengzhang Zhu; Lizhi Cheng (DSAA, 2017)

Model-Aware Representation Learning for Categorical Data with Hierarchical Couplings. - Jianglong Song; Chengzhang Zhu; Wentao Zhao; Wenjie Liu; Qiang Liu 004 (ICANN (2), 2017)

Retinal vessel segmentation in colour fundus images using Extreme Learning Machine. - Chengzhang Zhu; Beiji Zou 001; Rongchang Zhao; Jinkai Cui; Xuanchu Duan; Zailiang Chen 001; Yixiong Liang (Comput. Medical Imaging Graph., 2017)

Crime Hotspot Detection and Monitoring Using Video Based Event Modeling and Mapping Techniques. - Beiji Zou 001; Mohammed Nurudeen; Chengzhang Zhu; Rongchang Zhao (Int. J. Comput. Intell. Syst., 2017)

A highly efficient human activity classification method using mobile data from wearable sensors. - Lihuan Yuan; Qiang Liu 004; Mengchi Lu; Sihang Zhou 001; Chengzhang Zhu; Jianping Yin (Int. J. Sens. Networks, 2017)

Retinal Blood Vessel Segmentation Using Extreme Learning Machine. - Fan Guo 001; Da Xiang; Beiji Zou 001; Chengzhang Zhu; Shengnan Wang (J. Adv. Comput. Intell. Intell. Informatics, 2017)

Supervised Vessels Classification Based on Feature Selection. - Beiji Zou 001; Yao Chen; Chengzhang Zhu; Zailiang Chen 001; Zi-Qian Zhang (J. Comput. Sci. Technol., 2017)

An Approach for Glaucoma Detection Based on the Features Representation in Radon Domain. - Beiji Zou 001; Qilin Chen; Rongchang Zhao; Ping-Bo Ouyang; Chengzhang Zhu; Xuanchu Duan (ICIC (2), 2018)

Multi-Label Classification Scheme Based on Local Regression for Retinal Vessel Segmentation. - Qi He; Beiji Zou 001; Chengzhang Zhu; Xiyao Liu 001; Hongpu Fu; Lei Wang 017 (ICIP, 2018)

CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering. - Quangui Zhang; Longbing Cao; Chengzhang Zhu; Zhiqiang Li; Jinguang Sun (IJCAI, 2018)

Two-stage Unsupervised Multiple Kernel Extreme Learning Machine. - Guohan Zhao; Lingyun Xiang; Chengzhang Zhu; Feng Li 065 (IJCNN, 2018)

Detecting Abnormality without Knowing Normality: A Two-stage Approach for Unsupervised Video Abnormal Event Detection. - Siqi Wang 001; Yijie Zeng; Qiang Liu 004; Chengzhang Zhu; En Zhu; Jianping Yin (ACM Multimedia, 2018)

Classified optic disc localization algorithm based on verification model. - Beiji Zou 001; Changlong Chen; Chengzhang Zhu; Xuanchu Duan; Zailiang Chen 001 (Comput. Graph., 2018)

Crime prediction and mapping based on real time video analysis. - Mohammed Nurudeen; Beiji Zou 001; Chengzhang Zhu; Rongchang Zhao (J. Ambient Intell. Smart Environ., 2018)

Model-aware categorical data embedding: a data-driven approach. - Wentao Zhao; Qian Li 006; Chengzhang Zhu; Jianglong Song; Xinwang Liu 002; Jianping Yin (Soft Comput., 2018)

Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings. - Chengzhang Zhu; Longbing Cao; Qiang Liu 004; Jianping Yin; Vipin Kumar 001 (IEEE Trans. Knowl. Data Eng., 2018)

A Novel Indoor Localization Algorithm for Efficient Mobility Management in Wireless Networks. - Yalong Xiao; Shigeng Zhang; Jianxin Wang 001; Chengzhang Zhu (Wirel. Commun. Mob. Comput., 2018)

Bi-Level Masked Multi-scale CNN-RNN Networks for Short Text Representation. - Qian Li 006; Qiang Wu 001; Chengzhang Zhu; Jian Zhang 002 (ICDAR, 2019)

An Inferable Representation Learning for Fraud Review Detection with Cold-start Problem. - Qian Li 006; Qiang Wu 001; Chengzhang Zhu; Jian Zhang 002; Wentao Zhao (IJCNN, 2019)

Unsupervised User Behavior Representation for Fraud Review Detection with Cold-Start Problem. - Qian Li 006; Qiang Wu 001; Chengzhang Zhu; Jian Zhang 002; Wentao Zhao (PAKDD (1), 2019)

A novel glaucomatous representation method based on Radon and wavelet transform. - Beiji Zou 001; Changlong Chen; Rongchang Zhao; Ping-Bo Ouyang; Chengzhang Zhu; Qilin Chen; Xuanchu Duan (BMC Bioinform., 2019)

Automatic Diabetic Retinopathy Screening via Cascaded Framework Based on Image- and Lesion-Level Features Fusion. - Chengzhang Zhu; Rong Hu; Beiji Zou 001; Rongchang Zhao; Changlong Chen; Yalong Xiao (J. Comput. Sci. Technol., 2019)

Non-IID representation learning on complex categorical data - Chengzhang Zhu (2019)

Web Security Education in A Multidisciplinary Learning Context. - Qiang Liu 004; Wentao Zhao; Minghui Wu 001; Chengzhang Zhu (ACM TUR-C, 2020)

Mix2Vec: Unsupervised Mixed Data Representation. - Chengzhang Zhu; Qi Zhang 020; Longbing Cao; Arman Abrahamyan (DSAA, 2020)

Expose Your Mask: Smart Ponzi Schemes Detection on Blockchain. - Shuhui Fan; Shaojing Fu; Haoran Xu; Chengzhang Zhu (IJCNN, 2020)

A Simple yet Effective Unsupervised Adversarial Example Generation Framework for Vulnerability Assessment on Deep Learning. - Rongkun Zhang; Dan Liu; Wentao Zhao; Qiang Liu 004; Chengzhang Zhu (NCTCS, 2020)

Spam Detection in Reviews Using LSTM-Based Multi-Entity Temporal Features. - Lingyun Xiang; Guoqing Guo; Qian Li; Chengzhang Zhu; Jiuren Chen; Haoliang Ma (Intell. Autom. Soft Comput., 2020)

Non-rigid retinal image registration using an unsupervised structure-driven regression network. - Beiji Zou 001; Zhiyou He; Rongchang Zhao; Chengzhang Zhu; Wangmin Liao; Shuo Li 001 (Neurocomputing, 2020)

Cluster-Based Distribution Alignment For Generalizable Person Re-Identification. - Chengzhang Zhu; Zhe Chang; Yalong Xiao; Beiji Zou 001; Bozhou Li; Shu Liu 002 (ICME Workshops, 2021)

HFBT: An Efficient Hierarchical Fault-tolerant Method for Cloud Storage System. - Ling Xiao 003; Beiji Zou 001; Chengzhang Zhu; Meng Zeng; Zhi Chen 015 (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Sensing Anomalies like Humans: A Hominine Framework to Detect Abnormal Events from Unlabeled Videos. - Siqi Wang 001; Guang Yu; Zhiping Cai; En Zhu; Xinwang Liu 002; Jianping Yin; Chengzhang Zhu (CoRR, 2021)

Personalized next-best action recommendation with multi-party interaction learning for automated decision-making. - Longbing Cao; Chengzhang Zhu (CoRR, 2021)

Table2Vec: Automated Universal Representation Learning to Encode All-round Data DNA for Benchmarkable and Explainable Enterprise Data Science. - Longbing Cao; Chengzhang Zhu (CoRR, 2021)

Multi-Label Classification Scheme Based on Local Regression for Retinal Vessel Segmentation. - Beiji Zou 001; Yulan Dai; Qi He; Chengzhang Zhu; Geng Liu; Yu Su; Rui Tang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

MeDA: Using Blockchain for Patient-Controlled Medical Data Auditing in Institutions. - Beiji Zou 001; Fanbo Nie; Ling Xiao 003; Tao Zhang; Chengzhang Zhu (CCGRID, 2022)

GRVT: Toward Effective Grocery Recognition via Vision Transformer. - Shu Liu 002; Xiaoyu Wang; Chengzhang Zhu; Beiji Zou 001 (CGI, 2022)

A Learned Prefix Bloom Filter for Spatial Data. - Beiji Zou 001; Meng Zeng; Chengzhang Zhu; Ling Xiao 003; Zhi Chen 015 (DEXA (1), 2022)

Alps: An Adaptive Load Partitioning Scaling Solution for Stream Processing System on Skewed Stream. - Beiji Zou 001; Tao Zhang; Chengzhang Zhu; Ling Xiao 003; Meng Zeng; Zhi Chen 015 (DEXA (2), 2022)

Entity-level Attention Pooling and Information Gating for Document-level Relation Extraction. - Beiji Zou 001; Zhi Chen 015; Chengzhang Zhu; Ling Xiao 003; Meng Zeng (ICPR, 2022)

Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation. - Yang Li 111; Beiji Zou 001; Yulan Dai; Chengzhang Zhu; Fan Yang 054; Xin Li 079; Harrison X. Bai; Zhicheng Jiao (MICCAI (4), 2022)

UHRCS: A High-Throughput Platform for Real-time Cameras-Sampling based on UE4. - Zhijiang Shi; Shuai Ye; Chengzhang Zhu; Yuqi Zhu; Hao Li 039; Xinhai Xu (SMC, 2022)

OVS-Net: An effective feature extraction network for optical coherence tomography angiography vessel segmentation. - Chengzhang Zhu; Han Wang; Yalong Xiao; Yulan Dai; Zixi Liu; Beiji Zou 001 (Comput. Animat. Virtual Worlds, 2022)

Unsupervised Heterogeneous Coupling Learning for Categorical Representation. - Chengzhang Zhu; Longbing Cao; Jianping Yin (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Wavelet-aware Transformer Network for Multi-contrast Knee MRI Super-resolution. - Zexin Ji; Xiaoyan Kui; Shenghui Liao; Chengzhang Zhu; Yang Li 111; Yulan Dai; Beiji Zou 001 (BIBM, 2023)

Combining Gamification and Intelligent Tutoring Systems for Engineering Education. - Ryan Hare; Ying Tang 001; Chengzhang Zhu (FIE, 2023)

Engineering Human Body for Systematic and Computational Thinking. - Chengzhang Zhu; Jeong Eun Ahn; Luobin Cui; Ryan Hare; Ying Tang 001 (FIE, 2023)

A Framework for Identifying Diabetic Retinopathy Based on patch attention and lesion location. - Zhuoqun Xia; Hangyu Hu; Wenjing Li; Qisheng Jiang 002; Chengzhang Zhu; Ziwei Zou (IJCNN, 2023)

A Two-stream Channel Cross Enhancement Network for Diabetic Retinopathy Classification. - Zhuoqun Xia; Qisheng Jiang 002; Wenjing Li; Hangyu Hu; Chengzhang Zhu; Ziwei Zou (IJCNN, 2023)

Multi-scale deformable transformer for multi-contrast knee MRI super-resolution. - Beiji Zou 001; Zexin Ji; Chengzhang Zhu; Yulan Dai; Wensheng Zhang 002; Xiaoyan Kui (Biomed. Signal Process. Control., 2023)

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization. - Daniel D. Kim; Rajat S. Chandra; Jian Peng; Jing Wu; Xue Feng 001; Michael Atalay; Chetan Bettegowda; Craig K. Jones; Haris I. Sair; Wei-hua Liao; Chengzhang Zhu; Beiji Zou 001; et al. (CoRR, 2023)

MetaEdu: a new framework for future education. - Luobin Cui; Chengzhang Zhu; Ryan Hare; Ying Tang 001 (Discov. Artif. Intell., 2023)

PA-LBF: Prefix-Based and Adaptive Learned Bloom Filter for Spatial Data. - Meng Zeng; Beiji Zou 001; Xiaoyan Kui; Chengzhang Zhu; Ling Xiao 003; Zhi Chen 015; Jingyu Du (Int. J. Intell. Syst., 2023)

ESDedup: An efficient and secure deduplication scheme based on data similarity and blockchain for cloud-assisted medical storage systems. - Ling Xiao 003; Beiji Zou 001; Chengzhang Zhu; Fanbo Nie (J. Supercomput., 2023)

Combining external attention GAN with deep convolutional neural networks for real-fake identification of luxury handbags. - Jianbiao Peng; Beiji Zou 001; Chengzhang Zhu (Vis. Comput., 2023)

A two-stage deep learning framework for counterfeit luxury handbag detection in logo images. - Jianbiao Peng; Beiji Zou 001; Chengzhang Zhu (Signal Image Video Process., 2023)

Medical visual question answering with symmetric interaction attention and cross-modal gating. - Zhi Chen 015; Beiji Zou 001; Yulan Dai; Chengzhang Zhu; Guilan Kong; Wensheng Zhang 002 (Biomed. Signal Process. Control., 2023)

DE-JANet: A unified network based on dual encoder and joint attention for Alzheimer's disease classification using multi-modal data. - Yulan Dai; Beiji Zou 001; Chengzhang Zhu; Yang Li 111; Zhi Chen 015; Zexin Ji; Xiaoyan Kui; Wensheng Zhang 002 (Comput. Biol. Medicine, 2023)

Two-layer partitioned and deletable deep bloom filter for large-scale membership query. - Meng Zeng; Beiji Zou 001; Wensheng Zhang 002; Xuebing Yang; Guilan Kong; Xiaoyan Kui; Chengzhang Zhu (Inf. Syst., 2023)

Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation. - Xinze Li; Runlin Huang; Zhenghao Wu; Bohan Yang 016; Wentao Fan; Chengzhang Zhu; Weifeng Su (BIBM, 2024)

TTCNet: Transformer and Tubular Convolution Feature Attention Network for OCTA vessel segmentation. - Chengzhang Zhu; Zhangzheng Yang; Yalong Xiao; Tao Wu; Beiji Zou 001; Haoze Zhou (BIBM, 2024)

Reconstruction-Guided Multi-Stage Network For MRI Super-Resolution. - Zexin Ji; Beiji Zou 001; Xiaoyan Kui; Yang Li 111; Jun Liu 075; Wei Zhao 040; Chengzhang Zhu; Yulan Dai (CVDL, 2024)

An Effective Dual-Scale Hybrid Encoder Network for Medical Image Segmentation. - Chengzhang Zhu; Renmao Zhang; Yalong Xiao; Beiji Zou 001; Xian Chai; Zhangzheng Yang; Lan Hua; Xuanchu Duan (IJCNN, 2024)

A multi-feature-based intelligent redundancy elimination scheme for cloud-assisted health systems. - Ling Xiao 003; Beiji Zou 001; Xiaoyan Kui; Chengzhang Zhu; Wensheng Zhang 002; Xuebing Yang; Bob Zhang 001 (CAAI Trans. Intell. Technol., 2024)

The Evolution and Future Perspectives of Artificial Intelligence Generated Content. - Chengzhang Zhu; Luobin Cui; Ying Tang 001; Jiacun Wang (CoRR, 2024)

Deep learning-based magnetic resonance image super-resolution: a survey. - Zexin Ji; Beiji Zou 001; Xiaoyan Kui; Jun Liu 075; Wei Zhao 040; Chengzhang Zhu; Peishan Dai; Yulan Dai (Neural Comput. Appl., 2024)

Optic disc and cup segmentation based on information aggregation network with contour reconstruction. - Changlong Chen; Beiji Zou 001; Yuanqiong Chen; Chengzhang Zhu (Biomed. Signal Process. Control., 2025)

A Transformer utilizing bidirectional cross-attention for multi-modal classification of Age-Related Macular Degeneration. - Jianfeng Li; Zongda Wang; Yuanqiong Chen; Chengzhang Zhu; Mingqiang Xiong; Harrison Xiao Bai (Biomed. Signal Process. Control., 2025)

Multi-perspective feature compensation enhanced network for medical image segmentation. - Chengzhang Zhu; Renmao Zhang; Yalong Xiao; Beiji Zou 001; Zhangzheng Yang; Jianfeng Li; Xinze Li (Biomed. Signal Process. Control., 2025)

FEGGNN: Feature-Enhanced Gated Graph Neural Network for robust few-shot skin disease classification. - Abdulrahman Noman; Beiji Zou 001; Chengzhang Zhu; Mohammed Alhabib; Raeed Al-sabri (Comput. Biol. Medicine, 2025)

WIP: Enhancing Game-Based Learning with AI-Driven Peer Agents. - Chengzhang Zhu; Cecile H. Sam; Yanlai Wu; Ying Tang 001 (CoRR, 2025)

SEN-GAT: Synergistic Edge-Node graph attention networks for few-shot skin disease diagnosis. - Abdulrahman Noman; Beiji Zou 001; Chengzhang Zhu; Mohammed Alhabib; Ahmed Alasri (Digit. Signal Process., 2026)