Particle Swarm Optimisation in Feedforward Neural Network. - Chunkai Zhang; Huihe Shao (ANNIMAB, 2000)

An ANN's evolved by a new evolutionary system and its application. - Chunkai Zhang; Huihe Shao (CDC, 2000)

Particle swarm optimisation for evolving artificial neural network. - Chunkai Zhang; Huihe Shao; Yu Li (SMC, 2000)

A hybrid strategy: real-coded genetic algorithm and chaotic search. - Chun-kai Zhang; Hui-he Shao (SMC, 2001)

Ant Colony Optimization Combining with Mutual Information for Feature Selection in Support Vector Machines. - Chunkai Zhang; Hong Hu (Australian Conference on Artificial Intelligence, 2005)

An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information. - Chunkai Zhang; Hong Hu (FSKD (2), 2005)

An Evolved Recurrent Neural Network and Its Application. - Chunkai Zhang; Hong Hu (ICNC (1), 2005)

An evolved recurrent neural network and its application in the state estimation of the CSTR system. - Chunkai Zhang; Hong Hu (SMC, 2005)

Using PSO algorithm to evolve an optimum input subset for a SVM in time series forecasting. - Chunkai Zhang; Hong Hu (SMC, 2005)

Feature Selection in SVM Based on the Hybrid of Enhanced Genetic Algorithm and Mutual Information. - Chunkai Zhang; Hong Hu (MDAI, 2006)

An Evolved Recurrent Neural Network and Its Application. - Chunkai Zhang; Hong Hu (Trends in Neural Computation, 2007)

A Power-aware Adaptive Dynamic Routing Scheme for Wireless Ad Hoc Networks. - Li Zhang; Zhenwei Yu 002; Yang Zhang; Chun-Kai Zhang (ICNSC, 2008)

ResidualRanking: a robust Access-Point selection strategy for indoor location tracking. - Min Wang; Chunkai Zhang (SMC, 2009)

Application oriented data cleaning For RFID middleware. - Chunkai Zhang; Yuan Li; Yan Chen (SMC, 2011)

A new sampling approach for classification of imbalanced data sets with high density. - Pengfei Jia; Chunkai Zhang; Zhenyu He 001 (BigComp, 2014)

DBBoost-Enhancing Imbalanced Classification by a Novel Ensemble Based Technique. - Chunkai Zhang; Pengfei Jia (ICMB, 2014)

A Classification Method of Imbalanced Data Base on PSO Algorithm. - Junru Lu; Chunkai Zhang; Fengxing Shi (ICYCSEE (2), 2016)

Dynamic Attribute-Based Access Control in Cloud Storage Systems. - Zechao Liu; Zoe Lin Jiang; Xuan Wang 002; Siu-Ming Yiu; Chunkai Zhang; Xiaomeng Zhao (Trustcom/BigDataSE/ISPA, 2016)

A multi-view model for visual tracking via correlation filters. - Xin Li 034; Qiao Liu 001; Zhenyu He 001; Hongpeng Wang; Chunkai Zhang; Wen-Sheng Chen (Knowl. Based Syst., 2016)

Research on Classification Method of High-Dimensional Class-Imbalanced Data Sets Based on SVM. - Chunkai Zhang; Jianwei Guo; Junru Lu (DSC, 2017)

Time Series Discord Discovery Under Multi-party Privacy Preserving. - Chunkai Zhang; Haodong Liu; Ye Li (DSC, 2017)

A New Approach for Imbalanced Data Classification Based on Minimize Loss Learning. - Chunkai Zhang; Guoquan Wang; Ying Zhou; Jiayao Jiang (DSC, 2017)

An Approximate Approach to Frequent Itemset Mining. - Chunkai Zhang; Xudong Zhang; Panbo Tian (DSC, 2017)

Research of Detection Algorithm for Time Series Abnormal Subsequence. - Chunkai Zhang; Haodong Liu; Ao Yin (ICPCSEE (1), 2017)

Cancer classification with multi-task deep learning. - Qing Liao 001; Zoe Lin Jiang; Xuan Wang 002; Chunkai Zhang; Ye Ding (SPAC, 2017)

White-box traceable dynamic attribute based encryption. - Zechao Liu; Xuan Wang 002; Lei Cui; Zoe Lin Jiang; Chunkai Zhang (SPAC, 2017)

EHSBoost: Enhancing ensembles for imbalanced data-sets by evolutionary hybrid-sampling. - Chunkai Zhang; Jianwei Guo; Changqing Qi; Zoe Lin Jiang; Qing Liao 001; Lin Yao 004; Xuan Wang 002 (SPAC, 2017)

A novel privacy-preserving distributed anomaly detection method. - Chunkai Zhang; Haodong Liu; Ye Li; Ao Yin; Zoe Lin Jiang; Qing Liao 001; Xuan Wang 002 (SPAC, 2017)

Feature selection for high dimensional imbalanced class data based on F-measure optimization. - Chunkai Zhang; Guoquan Wang; Ying Zhou; Lin Yao 004; Zoe Lin Jiang; Qing Liao 001; Xuan Wang 002 (SPAC, 2017)

Mining inter-transaction association rules from multiple time-series data. - Chunkai Zhang; Xudong Zhang; Zoe Lin Jiang; Qing Liao 001; Lin Yao 004; Xuan Wang 002 (SPAC, 2017)

Deep convolutional neural networks for thermal infrared object tracking. - Qiao Liu 001; Xiaohuan Lu; Zhenyu He 001; Chunkai Zhang; Wen-Sheng Chen (Knowl. Based Syst., 2017)

A Novel Anomaly Detection Algorithm Based on Trident Tree. - Chunkai Zhang; Ao Yin; Yepeng Deng; Panbo Tian; Xuan Wang 002; Lifeng Dong (CLOUD, 2018)

Over-Sampling Algorithm Based on VAE in Imbalanced Classification. - Chunkai Zhang; Ying Zhou; Yingyang Chen; Yepeng Deng; Xuan Wang 002; Lifeng Dong; Haoyu Wei (CLOUD, 2018)

An Improved Measurement of the Imbalanced Dataset. - Chunkai Zhang; Ying Zhou; Yingyang Chen; Changqing Qi; Xuan Wang 002; Lifeng Dong (CLOUD, 2018)

Towards Secure Cloud Data Similarity Retrieval: Privacy Preserving Near-Duplicate Image Data Detection. - Yulin Wu 001; Xuan Wang 002; Zoe Lin Jiang; Xuan Li; Jin Li 002; Siu-Ming Yiu; Zechao Liu; Hainan Zhao; Chunkai Zhang (ICA3PP (4), 2018)

PPLDEM: A Fast Anomaly Detection Algorithm with Privacy Preserving. - Ao Yin; Chunkai Zhang; Zoe Lin Jiang; Yulin Wu 001; Xing Zhang; Keli Zhang; Xuan Wang 002 (ICA3PP (4), 2018)

An Improvement of PAA on Trend-Based Approximation for Time Series. - Chunkai Zhang; Yingyang Chen; Ao Yin; Zhen Qin; Xing Zhang; Keli Zhang; Zoe Lin Jiang (ICA3PP (2), 2018)

BOFE: Anomaly Detection in Linear Time Based on Feature Estimation. - Ao Yin; Chunkai Zhang (ICDM Workshops, 2018)

Fast Time Series Discords Detection with Privacy Preserving. - Chunkai Zhang; Ao Yin; Yulin Wu 001; Yingyang Chen; Xuan Wang 002 (TrustCom/BigDataSE, 2018)

Decision Tree Based Approaches for Detecting Protein Complex in Protein Protein Interaction Network (PPI) via Link and Sequence Analysis. - Aisha Sikandar; Waqas Anwar; Usama Ijaz Bajwa; Xuan Wang 002; Misba Sikandar; Lin Yao 004; Zoe Lin Jiang; Chunkai Zhang (IEEE Access, 2018)

Anomaly Subsequence Detection with Dynamic Local Density for Time Series. - Chunkai Zhang; Yingyang Chen; Ao Yin (DEXA (2), 2019)

A Multi-objective Examples Generation Approach to Fool the Deep Neural Networks in the Black-Box Scenario. - Yepeng Deng; Chunkai Zhang; Xuan Wang 002 (DSC, 2019)

An Efficient Parallel High Utility Sequential Pattern Mining Algorithm. - Chunkai Zhang; Yiwen Zu (HPCC/SmartCity/DSS, 2019)

An Adversarial Attack Based on Multi-objective Optimization in the Black-Box Scenario: MOEA-APGA II. - Chunkai Zhang; Yepeng Deng; Xin Guo; Xuan Wang 002; Chuanyi Liu (ICICS, 2019)

A Fast Algorithm for Hiding High Utility Sequential Patterns. - Chunkai Zhang; Yiwen Zu; Junli Nie; Linzi Du; Jingqi Du; Siyuan Hong; Wenping Wu (ISPA/BDCloud/SocialCom/SustainCom, 2019)

VCOS: A Novel Synergistic Oversampling Algorithm in Binary Imbalance Classification. - Chunkai Zhang; Ying Zhou; Yepeng Deng (IEEE Access, 2019)

Time Series Anomaly Detection with Variational Autoencoders. - Chunkai Zhang; Yingyang Chen (CoRR, 2019)

Multi-task deep convolutional neural network for cancer diagnosis. - Qing Liao 001; Ye Ding; Zoe Lin Jiang; Xuan Wang 002; Chunkai Zhang; Qian Zhang 001 (Neurocomputing, 2019)

Fast Eclat Algorithms Based on Minwise Hashing for Large Scale Transactions. - Chunkai Zhang; Panbo Tian; Xudong Zhang; Zoe Lin Jiang; Lin Yao 004; Xuan Wang 002 (IEEE Internet Things J., 2019)

Anomaly Detection Algorithm Based on Subspace Local Density Estimation. - Chunkai Zhang; Ao Yin (Int. J. Web Serv. Res., 2019)

Region-filtering correlation tracking. - Nana Fan; Jing Li 071; Zhenyu He 001; Chunkai Zhang; Xin Li 034 (Knowl. Based Syst., 2019)

HashEclat: an efficient frequent itemset algorithm. - Chunkai Zhang; Panbo Tian; Xudong Zhang; Qing Liao 001; Zoe Lin Jiang; Xuan Wang 002 (Int. J. Mach. Learn. Cybern., 2019)

Research on classification method of high-dimensional class-imbalanced datasets based on SVM. - Chunkai Zhang; Ying Zhou; Jianwei Guo; Guoquan Wang; Xuan Wang 002 (Int. J. Mach. Learn. Cybern., 2019)

Spatio-Temporal Attentive Network for Session-Based Recommendation. - Chunkai Zhang; Junli Nie (KSEM (2), 2020)

Reconstruct Anomaly to Normal: Adversarial Learned and Latent Vector-constrained Autoencoder for Time-series Anomaly Detection. - Chunkai Zhang; Wei Zuo; Xuan Wang 002 (CoRR, 2020)

TKUS: Mining Top-K High-Utility Sequential Patterns. - Chunkai Zhang; Zilin Du; Wensheng Gan; Philip S. Yu (CoRR, 2020)

An Efficient Algorithm for Extracting High-Utility Hierarchical Sequential Patterns. - Chunkai Zhang; Zilin Du; Yiwen Zu (Wirel. Commun. Mob. Comput., 2020)

Reconstruct Anomaly to Normal: Adversarially Learned and Latent Vector-Constrained Autoencoder for Time-Series Anomaly Detection. - Chunkai Zhang; Wei Zuo; Shaocong Li; Xuan Wang 002; Peiyi Han; Chuanyi Liu (PRICAI (2), 2021)

An efficient general black-box adversarial attack approach based on multi-objective optimization for high dimensional images. - Chunkai Zhang; Xin Guo; Yepeng Deng; Xuan Wang 002; Peiyi Han; Chuanyi Liu; Hanyu Zhang (Comput. Electr. Eng., 2021)

Utility-driven Mining of Contiguous Sequences. - Chunkai Zhang; Quanjian Dai; Zilin Du; Wensheng Gan; Jian Weng 001; Philip S. Yu (CoRR, 2021)

TKUS: Mining top-k high utility sequential patterns. - Chunkai Zhang; Zilin Du; Wensheng Gan; Philip S. Yu (Inf. Sci., 2021)

ADET: anomaly detection in time series with linear time. - Chunkai Zhang; Wei Zuo; Ao Yin; Xuan Wang 002; Chuanyi Liu (Int. J. Mach. Learn. Cybern., 2021)

Explainable Fuzzy Utility Mining on Sequences. - Wensheng Gan; Zilin Du; Weiping Ding 001; Chunkai Zhang; Han-Chieh Chao (IEEE Trans. Fuzzy Syst., 2021)

Log Sequence Anomaly Detection Based on Local Information Extraction and Globally Sparse Transformer Model. - Chunkai Zhang; Xinyu Wang; Hongye Zhang; Hanyu Zhang; Peiyi Han (IEEE Trans. Netw. Serv. Manag., 2021)

On-manifold adversarial attack based on latent space substitute model. - Chunkai Zhang; Xiaofeng Luo; Peiyi Han (Comput. Secur., 2022)

SEDGN: Sequence enhanced denoising graph neural network for session-based recommendation. - Chunkai Zhang; Wenjing Zheng; Quan Liu; Junli Nie; Hanyu Zhang (Expert Syst. Appl., 2022)

DSGNN: A dynamic and static intentions integrated graph neural network for session-based recommendation. - Chunkai Zhang; Quan Liu; Zeyu Zhang (Neurocomputing, 2022)

AAGCN: Adjacency-aware Graph Convolutional Network for person re-identification. - Honghu Pan; Yang Bai; Zhenyu He 001; Chunkai Zhang (Knowl. Based Syst., 2022)

On-Shelf Utility Mining of Sequence Data. - Chunkai Zhang; Zilin Du; Yuting Yang 005; Wensheng Gan; Philip S. Yu (ACM Trans. Knowl. Discov. Data, 2022)

LayerLog: Log sequence anomaly detection based on hierarchical semantics. - Chunkai Zhang; Xinyu Wang; Hongye Zhang; Jiahua Zhang; Hanyu Zhang; Chuanyi Liu; Peiyi Han (Appl. Soft Comput., 2023)

Discovering Utility-driven Interval Rules. - Chunkai Zhang; Maohua Lyu; Huaijin Hao; Wensheng Gan; Philip S. Yu (CoRR, 2023)

FinChain-BERT: A High-Accuracy Automatic Fraud Detection Model Based on NLP Methods for Financial Scenarios. - Xinze Yang; Chunkai Zhang; Yizhi Sun; Kairui Pang; Luru Jing; Shiyun Wa; Chunli Lv (Inf., 2023)

VESC: a new variational autoencoder based model for anomaly detection. - Chunkai Zhang; Xinyu Wang; Jiahua Zhang; Shaocong Li; Hanyu Zhang; Chuanyi Liu; Peiyi Han (Int. J. Mach. Learn. Cybern., 2023)

TUSQ: Targeted High-Utility Sequence Querying. - Chunkai Zhang; Quanjian Dai; Zilin Du; Wensheng Gan; Jian Weng 001; Philip S. Yu (IEEE Trans. Big Data, 2023)

BiasRec: A General Bias-Aware Social Recommendation Model. - Chunkai Zhang; Guoqing Li (DASFAA (6), 2024)

Generating Time Series by Using Latent Space. - Xinyu Cui; Chunkai Zhang (ICIC (LNAI 2), 2024)

Assisted decision making for conditional maintenance of distribution network equipment based on multi-task deep learning. - Zhenyu Luo; Tu Xiong; Minghui Chen; Mingzhu Kong; Chunkai Zhang (Int. J. Comput. Appl. Technol., 2024)

Multi-view contrastive learning with virtual social group influence for social recommendation. - Chunkai Zhang; Guoqing Li; Hanyu Zhang (Knowl. Based Syst., 2024)

HUSP-SP: Faster Utility Mining on Sequence Data. - Chunkai Zhang; Yuting Yang 005; Zilin Du; Wensheng Gan; Philip S. Yu (ACM Trans. Knowl. Discov. Data, 2024)

Totally-ordered Sequential Rules for Utility Maximization. - Chunkai Zhang; Maohua Lyu; Wensheng Gan; Philip S. Yu (ACM Trans. Knowl. Discov. Data, 2024)

TIRPMiner: An efficient algorithm for mining time interval-related pattern. - Chunkai Zhang; Huaijin Hao; Ryan Han-Yuan Zhang (Knowl. Based Syst., 2025)