Chunkai Zhang - researchr alias

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Viewing Publication 1 - 63 from 63

2024

Totally-ordered Sequential Rules for Utility MaximizationChunkai Zhang, Maohua Lyu, Wensheng Gan, Philip S. Yu. tkdd, 18(4), May 2024. [doi]

HUSP-SP: Faster Utility Mining on Sequence DataChunkai Zhang, Yuting Yang 0005, Zilin Du, Wensheng Gan, Philip S. Yu. tkdd, 18(1), January 2024. [doi]

2023

2022

2021

Explainable Fuzzy Utility Mining on SequencesWensheng Gan, Zilin Du, Weiping Ding 0001, Chunkai Zhang, Han-Chieh Chao. tfs, 29(12):3620-3634, 2021. [doi]

Reconstruct Anomaly to Normal: Adversarially Learned and Latent Vector-Constrained Autoencoder for Time-Series Anomaly DetectionChunkai Zhang, Wei Zuo, Shaocong Li, Xuan Wang 0002, Peiyi Han, Chuanyi Liu. pricai 2021: 515-529 [doi]

ADET: anomaly detection in time series with linear timeChunkai Zhang, Wei Zuo, Ao Yin, Xuan Wang 0002, Chuanyi Liu. mlc, 12(1):271-280, 2021. [doi]

Log Sequence Anomaly Detection Based on Local Information Extraction and Globally Sparse Transformer ModelChunkai Zhang, Xinyu Wang, Hongye Zhang, Hanyu Zhang, Peiyi Han. tnsm, 18(4):4119-4133, 2021. [doi]

An efficient general black-box adversarial attack approach based on multi-objective optimization for high dimensional imagesChunkai Zhang, Xin Guo, Yepeng Deng, Xuan Wang 0002, Peiyi Han, Chuanyi Liu, Hanyu Zhang. cee, 95:107402, 2021. [doi]

k high utility sequential patternsChunkai Zhang, Zilin Du, Wensheng Gan, Philip S. Yu. isci, 570:342-359, 2021. [doi]

2020

An Efficient Algorithm for Extracting High-Utility Hierarchical Sequential PatternsChunkai Zhang, Zilin Du, Yiwen Zu. wicomm, 2020, 2020. [doi]

Spatio-Temporal Attentive Network for Session-Based RecommendationChunkai Zhang, Junli Nie. ksem 2020: 131-139 [doi]

2019

A Multi-objective Examples Generation Approach to Fool the Deep Neural Networks in the Black-Box ScenarioYepeng Deng, Chunkai Zhang, Xuan Wang 0002. dsc 2019: 92-99 [doi]

Region-filtering correlation trackingNana Fan, Jing Li, Zhenyu He, Chunkai Zhang, Xin Li. kbs, 172:95-103, 2019. [doi]

Multi-task deep convolutional neural network for cancer diagnosisQing Liao, Ye Ding, Zoe L. Jiang, Xuan Wang, Chunkai Zhang, Qian Zhang. ijon, 348:66-73, 2019. [doi]

Anomaly Detection Algorithm Based on Subspace Local Density EstimationChunkai Zhang, Ao Yin. jwsr, 16(3):44-58, 2019. [doi]

Anomaly Subsequence Detection with Dynamic Local Density for Time SeriesChunkai Zhang, Yingyang Chen, Ao Yin. DEXA 2019: 291-305 [doi]

An Efficient Parallel High Utility Sequential Pattern Mining AlgorithmChunkai Zhang, Yiwen Zu. hpcc 2019: 2798-2803 [doi]

A Fast Algorithm for Hiding High Utility Sequential PatternsChunkai Zhang, Yiwen Zu, Junli Nie, Linzi Du, Jingqi Du, Siyuan Hong, Wenping Wu. ispa 2019: 1316-1322 [doi]

HashEclat: an efficient frequent itemset algorithmChunkai Zhang, Panbo Tian, Xudong Zhang, Qing Liao 0001, Zoe L. Jiang, Xuan Wang 0002. mlc, 10(11):3003-3016, 2019. [doi]

An Adversarial Attack Based on Multi-objective Optimization in the Black-Box Scenario: MOEA-APGA IIChunkai Zhang, Yepeng Deng, Xin Guo, Xuan Wang 0002, Chuanyi Liu. icics 2020: 603-612 [doi]

Fast Eclat Algorithms Based on Minwise Hashing for Large Scale TransactionsChunkai Zhang, Panbo Tian, Xudong Zhang, Zoe L. Jiang, Lin Yao, Xuan Wang. iotj, 6(2):3948-3961, 2019. [doi]

VCOS: A Novel Synergistic Oversampling Algorithm in Binary Imbalance ClassificationChunkai Zhang, Ying Zhou, Yepeng Deng. access, 7:145435-145443, 2019. [doi]

Research on classification method of high-dimensional class-imbalanced datasets based on SVMChunkai Zhang, Ying Zhou, Jianwei Guo, Guoquan Wang, Xuan Wang 0002. mlc, 10(7):1765-1778, 2019. [doi]

2018

Towards Secure Cloud Data Similarity Retrieval: Privacy Preserving Near-Duplicate Image Data DetectionYulin Wu, Xuan Wang, Zoe L. Jiang, Xuan Li, Jin Li, Siu-Ming Yiu, Zechao Liu, Hainan Zhao, Chunkai Zhang. ica3pp 2018: 374-388 [doi]

BOFE: Anomaly Detection in Linear Time Based on Feature EstimationAo Yin, Chunkai Zhang. icdm 2018: 1128-1133 [doi]

PPLDEM: A Fast Anomaly Detection Algorithm with Privacy PreservingAo Yin, Chunkai Zhang, Zoe L. Jiang, Yulin Wu, Xing Zhang, Keli Zhang, Xuan Wang. ica3pp 2018: 358-373 [doi]

An Improvement of PAA on Trend-Based Approximation for Time SeriesChunkai Zhang, Yingyang Chen, Ao Yin, Zhen Qin, Xing Zhang, Keli Zhang, Zoe L. Jiang. ica3pp 2018: 248-262 [doi]

Fast Time Series Discords Detection with Privacy PreservingChunkai Zhang, Ao Yin, Yulin Wu, Yingyang Chen, Xuan Wang. trustcom 2018: 1129-1139 [doi]

A Novel Anomaly Detection Algorithm Based on Trident TreeChunkai Zhang, Ao Yin, Yepeng Deng, Panbo Tian, Xuan Wang, Lifeng Dong. cloud2 2018: 295-306 [doi]

Over-Sampling Algorithm Based on VAE in Imbalanced ClassificationChunkai Zhang, Ying Zhou, Yingyang Chen, Yepeng Deng, Xuan Wang, Lifeng Dong, Haoyu Wei. cloud2 2018: 334-344 [doi]

An Improved Measurement of the Imbalanced DatasetChunkai Zhang, Ying Zhou, Yingyang Chen, Changqing Qi, Xuan Wang, Lifeng Dong. cloud2 2018: 365-376 [doi]

2017

Cancer classification with multi-task deep learningQing Liao, Lin Jiang, Xuan Wang, Chunkai Zhang, Ye Ding. spac 2017: 76-81 [doi]

Deep convolutional neural networks for thermal infrared object trackingQiao Liu, Xiaohuan Lu, Zhenyu He, Chunkai Zhang, Wen-Sheng Chen. kbs, 134:189-198, 2017. [doi]

White-box traceable dynamic attribute based encryptionZechao Liu, Xuan Wang, Lei Cui, Zoe L. Jiang, Chunkai Zhang. spac 2017: 526-530 [doi]

An Approximate Approach to Frequent Itemset MiningChunkai Zhang, Xudong Zhang, Panbo Tian. dsc 2017: 68-73 [doi]

Research of Detection Algorithm for Time Series Abnormal SubsequenceChunkai Zhang, Haodong Liu, Ao Yin. icycsee 2017: 12-26 [doi]

Time Series Discord Discovery Under Multi-party Privacy PreservingChunkai Zhang, Haodong Liu, Ye Li. dsc 2017: 467-474 [doi]

A novel privacy-preserving distributed anomaly detection methodChunkai Zhang, Haodong Liu, Ye Li, Ao Yin, Zoe L. Jiang, Qing Liao, Xuan Wang. spac 2017: 463-468 [doi]

Mining inter-transaction association rules from multiple time-series dataChunkai Zhang, Xudong Zhang, Zoe L. Jiang, Qing Liao, Lin Yao, Xuan Wang. spac 2017: 158-163 [doi]

EHSBoost: Enhancing ensembles for imbalanced data-sets by evolutionary hybrid-samplingChunkai Zhang, Jianwei Guo, Changqing Qi, Zoe L. Jiang, Qing Liao, Lin Yao, Xuan Wang. spac 2017: 118-123 [doi]

Research on Classification Method of High-Dimensional Class-Imbalanced Data Sets Based on SVMChunkai Zhang, Jianwei Guo, Junru Lu. dsc 2017: 60-67 [doi]

Feature selection for high dimensional imbalanced class data based on F-measure optimizationChunkai Zhang, Guoquan Wang, Ying Zhou, Lin Yao, Zoe L. Jiang, Qing Liao, Xuan Wang. spac 2017: 278-283 [doi]

A New Approach for Imbalanced Data Classification Based on Minimize Loss LearningChunkai Zhang, Guoquan Wang, Ying Zhou, Jiayao Jiang. dsc 2017: 82-87 [doi]

2016

2014

A new sampling approach for classification of imbalanced data sets with high densityPengfei Jia, Chunkai Zhang, Zhenyu He. bigcomp 2014: 217-222 [doi]

DBBoost-Enhancing Imbalanced Classification by a Novel Ensemble Based TechniqueChunkai Zhang, Pengfei Jia. medbiometrics 2014: 210-215 [doi]

2011

Application oriented data cleaning For RFID middlewareChunkai Zhang, Yuan Li, Yan Chen. SMC 2011: 1544-1549 [doi]

2009

ResidualRanking: a robust Access-Point selection strategy for indoor location trackingMin Wang, Chunkai Zhang. SMC 2009: 5035-5040 [doi]

2005

An evolved recurrent neural network and its application in the state estimation of the CSTR systemChunkai Zhang, Hong Hu. SMC 2005: 2139-2143 [doi]

Using PSO algorithm to evolve an optimum input subset for a SVM in time series forecastingChunkai Zhang, Hong Hu. SMC 2005: 3793-3796 [doi]

2000

An ANN's evolved by a new evolutionary system and its applicationChunkai Zhang, Huihe Shao. cdc 2000: 3562-3563 [doi]

Particle Swarm Optimisation in Feedforward Neural NetworkChunkai Zhang, Huihe Shao. annimab 2000: 327-332 [doi]

Particle swarm optimisation for evolving artificial neural networkChunkai Zhang, Huihe Shao, Yu Li. SMC 2000: 2487-2490 [doi]

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