Class-Level Logit Perturbation

Article

Li, Mengyang, Su, Fengguang, Wu, Ou and Zhang, Ji. 2023. "Class-Level Logit Perturbation." IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2023.3273355
Article Title

Class-Level Logit Perturbation

ERA Journal ID4458
Article CategoryArticle
AuthorsLi, Mengyang, Su, Fengguang, Wu, Ou and Zhang, Ji
Journal TitleIEEE Transactions on Neural Networks and Learning Systems
Number of Pages15
Year2023
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationUnited States
ISSN1045-9227
1941-0093
2162-237X
2162-2388
Digital Object Identifier (DOI)https://doi.org/10.1109/TNNLS.2023.3273355
Web Address (URL)https://ieeexplore.ieee.org/document/10130785
AbstractFeatures, logits, and labels are the three primary data when a sample passes through a deep neural network (DNN). Feature perturbation and label perturbation receive increasing attention in recent years. They have been proven to be useful in various deep learning approaches. For example, (adversarial) feature perturbation can improve the robustness or even generalization capability of learned models. However, limited studies have explicitly explored for the perturbation of logit vectors. This work discusses several existing methods related to class-level logit perturbation. A unified viewpoint between regular/irregular data augmentation and loss variations incurred by logit perturbation is established. A theoretical analysis is provided to illuminate why class-level logit perturbation is useful. Accordingly, new methodologies are proposed to explicitly learn to perturb logits for both the single-label and multilabel classification tasks. Meta-learning is also leveraged to determine the regular or irregular augmentation for each class. Extensive experiments on benchmark image classification datasets and their long-tail versions indicated the competitive performance of our learning method. As it only perturbs on logit, it can be used as a plug-in to fuse with any existing classification algorithms. All the codes are available at https://github.com/limengyang1992/lpl.
KeywordsAdversarial training
ANZSRC Field of Research 2020460299. Artificial intelligence not elsewhere classified
Public Notes

The accessible file is the accepted version of the paper. Please refer to the URL for the published version.

Byline AffiliationsTianjin University, China
University of Southern Queensland
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Xiao, Jing, Yang, Huan, Xie, Kun, Zhu, Jia and Zhang, Ji. 2022. "Learning discriminative representation with global and fine-grained features for cross-view gait recognition." CAAI Transactions on Intelligence Technology. 7 (2), pp. 187-199. https://doi.org/10.1049/cit2.12051
OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining
Wu, Youxi, Wang, Xiaohui, Li, Yan, Guo, Lei, Li, Zhao, Zhang, Ji and Wu, Xindong. 2022. "OWSP-Miner: Self-adaptive One-off Weak-gap Strong Pattern Mining." ACM Transactions on Management Information Systems. 13 (3), pp. 1-23. https://doi.org/10.1145/3476247
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes
Weng, Xi, Yan, Yan, Dong, Genshun, Shu, Chang, Wang, Biao, Wang, Hanzi and Zhang, Ji. 2022. "Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes." IEEE Transactions on Intelligent Transportation Systems. 23 (10), pp. 17224-17240. https://doi.org/10.1109/TITS.2022.3150350
Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest
Shao, Ming-Min, Jiang, Wen-Jun, Wu, Jie, Shi, Yu-Qing, Yum, TakShing and Zhang, Ji. 2022. "Improving Friend Recommendation for Online Learning with Fine-Grained Evolving Interest." Journal of Computer Science and Technology. 37 (6), pp. 1444-1463. https://doi.org/10.1007/s11390-021-2124-z
Sparse-Dyn: Sparse dynamic graph multirepresentation learning via event-based sparse temporal attention network
Pang, Yan, Shan, Ai, Wang, Zhen, Wang, Mengyu, Lin, Jianwei, Zhang, Ji, Huang, Teng and Liu, Chao. 2022. "Sparse-Dyn: Sparse dynamic graph multirepresentation learning via event-based sparse temporal attention network." International Journal of Intelligent Systems. 37 (11), pp. 8770-8789. https://doi.org/10.1002/int.22967
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification
Pang, Yan, Huang, Teng, Wang, Zhen, Lin, Jianwei, Hosseini, Poorya, Zhang, Ji, Liu, Chao and Ai, Shan. 2022. "Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification ." International Journal of Intelligent Systems. 37 (11), pp. 8747-8769. https://doi.org/10.1002/int.22966
An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection
Li, Jiamu, Zhang, Ji, Bah, Mohamed Jaward, Wang, Jian, Zhu, Youwen, Yang, Gaoming, Li, Lingling and Zhang, Kexin. 2022. "An Auto-Encoder with Genetic Algorithm for High Dimensional Data: Towards Accurate and Interpretable Outlier Detection." Algorithms. 15 (11). https://doi.org/10.3390/a15110429
Lightweight Mutual Authentication Scheme Enabled by Stateless Blockchain for UAV Networks
Kong, Lingjun, Chen, Bing, Hu, Feng and Zhang, Ji. 2022. "Lightweight Mutual Authentication Scheme Enabled by Stateless Blockchain for UAV Networks." Security and Communication Networks. 2022. https://doi.org/10.1155/2022/2330052
A Survey on Contact Tracing: The Latest Advancements and Challenges
Jiang, Ting, Zhang, Yang Zhang, Zhang, Minhao, Yu, Ting, Chen, Yizheng, Lu, Chenhao, Zhang, Ji, Li, Zhao, Gao, Jun and Zhou, Shuigeng. 2022. "A Survey on Contact Tracing: The Latest Advancements and Challenges." ACM Transactions on Spatial Algorithms and Systems. 8 (2), pp. 1-35. https://doi.org/10.1145/3494529
Message from the Program Chair
Zhang, Ji. 2022. "Message from the Program Chair." 2022 7th International Conference on Cyber Security and Information Engineering (ICCSIE). Brisbane, Australia 23 - 25 Sep 2022 Brisbane, Australia. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICCSIE56462.2022.00006
Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention
Hou, Linlin, Zhang, Ji, Wu, Ou, Yu, Ting, Wang, Zhen, Li, Zhao, Gao, Jianliang, Ye, Yingchun and Yao, Rujing. 2022. "Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention." Knowledge-Based Systems. 235. https://doi.org/10.1016/j.knosys.2021.107621
Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention
Wu, Yuxin, Xu, Zenghui, Li, Hongzhou, Gan, Yuquan, Ying, Josh Jia-Ching, Yu, Ting and Zhang, Ji. 2022. "Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention." 18th International Conference on Advanced Data Mining and Applications (ADMA 2022). Brisbane, Australia 28 - 30 Nov 2022 Switzerland. https://doi.org/10.1007/978-3-031-22064-7_8
Detecting relational states in online social networks
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Pham, Thuan, Zhu, Xiaodong, Li, Hongzhou and Chang, Liang. 2018. "Detecting relational states in online social networks." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 United States. https://doi.org/10.1109/BESC.2018.8697237
On link stability detection for online social networks
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Lin, Jerry Chun-Wei, Li, Hongzhou and Chang, Liang. 2018. "On link stability detection for online social networks." Hartmann, Sven, Ma, Hui, Hameurlain, Abdelkader, Pernul, Gunther and Wagner, Roland R. (ed.) 29th International Conference on Database and Expert Systems Applications (DEXA 2018). Regensburg, Germany 03 - 06 Sep 2018 Switzerland. Springer. https://doi.org/10.1007/978-3-319-98809-2_20
Learning relational fractals for deep knowledge graph embedding in online social networks
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Wang, Dianwei, Ying, Josh Jia-Ching and Wang, Xin. 2019. "Learning relational fractals for deep knowledge graph embedding in online social networks." Cheng, Reynold, mamoulis, Nikos, Sun, Yizhou and Huang, Xin (ed.) 20th International Conference on Web Information Systems Engineering (WISE 2019): Workshop, Demo and Tutorial. Hong Kong, China 19 - 22 Jan 2020 Singapore. Springer. https://doi.org/10.1007/978-3-030-34223-4_42
Mining multispectral aerial images for automatic detection of strategic bridge locations for disaster relief missions
Munawar, Hafiz Suliman, Zhang, Ji, Li, Hongzhou, Mo, Deqing and Chang, Liang. 2019. "Mining multispectral aerial images for automatic detection of strategic bridge locations for disaster relief missions." Leong, Hou U. and Lauw, Hady W. (ed.) 8th Workshop on Biologically-Inspired Techniques for Knowledge Discovery and Data Mining (BDM 2019), held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019). Macau, China 14 - 17 Apr 2019 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-030-26142-9_17
A metaheuristic algorithm for hiding sensitive itemsets
Lin, Jerry Chun-Wei, Zhang, Yuyu, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2018. "A metaheuristic algorithm for hiding sensitive itemsets." Hartmann, Sven, Ma, Hui, Hameurlain, Abdelkader, Pernul, Gunther and Wagner, Roland R. (ed.) 29th International Conference on Database and Expert Systems Applications (DEXA 2018). Regensburg, Germany 03 - 06 Sep 2018 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-319-98812-2_45
Twitter analysis for depression on social networks based on sentiment and stress
Tao, Xiaohui, Dharmalingam, Ravi, Zhang, Ji, Zhou, Xujuan, Li, Lin and Gururajan, Raj. 2019. "Twitter analysis for depression on social networks based on sentiment and stress." 6th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2019). Beijing, China 28 - 30 Oct 2019 United States. https://doi.org/10.1109/BESC48373.2019.8963550
Personalised drug prescription for dental clinics using word embedding
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Oh, Xue Ling and Goh, Elizabeth Zhixin. 2020. "Personalised drug prescription for dental clinics using word embedding." Hou U, Leong, Yang, Jian, Cai, Yi, Karlapalem, Kamalakar, Liu, An and Huang, Xin (ed.) 20th International Conference on Web Information Systems Engineering (WISE 2019): Workshop, Demo and Tutorial. Hong Kong, China 19 - 22 Jan 2020 Singapore. https://doi.org/10.1007/978-981-15-3281-8_5
MeKG: building a medical knowledge graph by data mining from MEDLINE
Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhou, Xujuan and Gururajan, Raj. 2019. "MeKG: building a medical knowledge graph by data mining from MEDLINE." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Switzerland. Springer. https://doi.org/10.1007/978-3-030-37078-7_16
An efficient and secure itinerary-based data aggregation algorithm for WSNs
Wang, Taochun, Zhang, Ji, Luo, Yonglong, Zuo, Kaizhong and Ding, Xintao. 2017. "An efficient and secure itinerary-based data aggregation algorithm for WSNs." 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-17). Sydney, Australia 01 - 04 Aug 2017 United States. https://doi.org/10.1109/Trustcom/BigDataSE/ICESS.2017.268
A recommender system with advanced time series medical data analysis for diabetes patients in a telehealth environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Lin, Jerry Chun-Wei, Chen, Fulong, Luo, Yonglong and Zheng, Xiaoyao. 2018. "A recommender system with advanced time series medical data analysis for diabetes patients in a telehealth environment." Hartmann, Sven, Ma, Hui, Hameurlain, Abdelkader, Pernul, Gunther and Wagner, Roland R. (ed.) 29th International Conference on Database and Expert Systems Applications (DEXA 2018). Regensburg, Germany 03 - 06 Sep 2018 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-319-98812-2_15
A genetic algorithm based technique for outlier detection with fast convergence
Zhu, Xiaodong, Zhang, Ji, Hu, Zewen, Li, Hongzhou, Chang, Liang, Zhu, Youwen, Lin, Jerry Chun-Wei and Qin, Yongrui. 2018. "A genetic algorithm based technique for outlier detection with fast convergence." Gan, Guojun, Li, Bohan, Li, Xue and Wang, Shuliang (ed.) 14th International Conference on Advanced Data Mining and Applications (ADMA 2018). Nanjing, China 16 - 18 Nov 2018 Switzerland. Springer. https://doi.org/10.1007/978-3-030-05090-0_8
Mining heterogeneous information graph for health status classification
Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhang, Wenping and Cai, Yi. 2018. "Mining heterogeneous information graph for health status classification." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 United States. https://doi.org/10.1109/BESC.2018.8697292
Exploring the use of a network model in drug prescription support for dental clinics
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Qin, Yongrui, Goh, Elizabeth Zhixin and Hu, Aimin. 2018. "Exploring the use of a network model in drug prescription support for dental clinics." 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2018). Kaohsiung, Taiwan 12 - 14 Nov 2018 Piscataway, NJ, United States. https://doi.org/10.1109/BESC.2018.00042
Graph-based multi-label disease prediction model learning from medical data and domain knowledge
Pham, Thuan, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Li, Yuefeng and Xie, Haoran. 2022. "Graph-based multi-label disease prediction model learning from medical data and domain knowledge." Knowledge-Based Systems. 235, pp. 1-15. https://doi.org/10.1016/j.knosys.2021.107662
Mobile-based learning of drug prescription for medical education using artificial intelligence techniques
Tao, Xiaohui, Goh, Wee Pheng, Zhang, Ji, Yong, Jianming, Goh, Elizabeth Zhixin and Oh, Xueling. 2021. "Mobile-based learning of drug prescription for medical education using artificial intelligence techniques." International Journal of Mobile Learning and Organisation. 15 (4), pp. 392-408. https://doi.org/10.1504/IJMLO.2021.118436
Using Machine Learning to Automate Mammogram Images Analysis
Tang, Xuejiao, Zhang, Liuhua, Zhang, Wenbin, Huang, Xin, Iosifidis, Vasileios, Liu, Zhen, Zhang, Mingli, Messina, Enza and Zhang, Ji. 2021. "Using Machine Learning to Automate Mammogram Images Analysis." Park, Taesung, Cho, Young-Rae, Hu, Xiaohua, Yoo, Illhoi, Woo, Hyun Goo, Wang, Jianxin, Facelli, Julio and Nam, Seungyoon (ed.) 2020 International Conference on Bioinformatics and Biomedicine (BIBM'20). Seoul, South Korea 16 - 19 Dec 2020 Piscataway, United States. https://doi.org/10.1109/BIBM49941.2020.9313247
Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks
Ghimire, Sujan, Yaseen, Zaher Mundher, Farooque, Aitazaz A., Deo, Ravinesh C., Zhang, Ji and Tao, Xiaohui. 2021. "Streamflow prediction using an integrated methodology based on convolutional neural network and long short‑term memory networks." Scientific Reports. 11, pp. 1-26. https://doi.org/10.1038/s41598-021-96751-4
A survey of privacy solutions using blockchain for recommender systems: current status, classification and open issues
Abduljabbar, Tamara Abdulmunim, Tao, Xiaohui, Zhang, Ji, Zhou, Xujuan, Li, Lin and Cai, Yi. 2021. "A survey of privacy solutions using blockchain for recommender systems: current status, classification and open issues." The Computer Journal. 64 (7), pp. 1104-1129. https://doi.org/10.1093/comjnl/bxab065
Extending Graph Pattern Matching with Regular Expressions
Wang, Xin, Wang, Yang, Xu, Yang, Zhang, Ji and Zhong, Xueyan. 2020. "Extending Graph Pattern Matching with Regular Expressions." Hartmann, Sven, Kung, Josef, Kotsis, Gabriele, Tjoa, A Min and Khalil, Ismail (ed.) 31st International Conference on Database and Expert Systems Applications (DEXA 2020). Bratislava, Slovakia 14 - 17 Sep 2020 Cham, Switzerland. https://doi.org/10.1007/978-3-030-59051-2_8
Bounded Pattern Matching Using Views
Wang, Xin, Wang, Yang, Zhang, Ji and Zhu, Yan. 2020. "Bounded Pattern Matching Using Views." Hartmann, Sven, Kung, Josef, Kotsis, Gabriele, Tjoa, A Min and Khalil, Ismail (ed.) 31st International Conference on Database and Expert Systems Applications (DEXA 2020). Bratislava, Slovakia 14 - 17 Sep 2020 Cham, Switzerland. https://doi.org/10.1007/978-3-030-59003-1_19
Predicting Workplace Injuries Using Machine Learning Algorithms
Sukumar, Divya, Zhang, Ji, Tao, Xiaohui, Wang, Xin and Zhang, Wenbin. 2020. "Predicting Workplace Injuries Using Machine Learning Algorithms." Webb, Geoff, Zhang, Zhongfei, Tseng, Vincent S., Williams, Graham, Vlachos, Michalis and Cao, Longbing (ed.) 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2020). Sydney, Australia 06 - 09 Oct 2020 Piscataway, United States. https://doi.org/10.1109/DSAA49011.2020.00104
Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams
Zhang, Wenbin, Zhang, Mingli, Zhang, Ji, Liu, Zhen, Chen, Zhiyuan, Wang, Jianwu, Raff, Edward and Messina, Enza. 2020. "Flexible and Adaptive Fairness-aware Learning in Non-stationary Data Streams." Alamaniotis, Miltos and Pan, Shimei (ed.) 32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020). Baltimore, United States 09 - 11 Nov 2020 Piscataway, United States. https://doi.org/10.1109/ICTAI50040.2020.00069
User authentication into electronic health record based on reliable lightweight algorithms
Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2021. "User authentication into electronic health record based on reliable lightweight algorithms." Cruz-Cunha, Maria Manuela and Mateus-Coelho, Nuno Ricardo (ed.) Handbook of research on cyber crime and information privacy. United States. IGI Global. pp. 700-738
Locally differentially private distributed algorithms for set intersection and union [Letter]
Xue, Qiao, Zhu, Youwen, Wang, Jian, Li, Xingxin and Zhang, Ji. 2020. "Locally differentially private distributed algorithms for set intersection and union [Letter]." Science China Information Sciences. https://doi.org/10.1007/s11432-018-9899-8
Proof Learning in PVS with Utility Pattern Mining
Nawaz, M. Saqib, Fournier-Viger, Philippe and Zhang, Ji. 2020. "Proof Learning in PVS with Utility Pattern Mining." IEEE Access. 8, pp. 119806-119818. https://doi.org/10.1109/ACCESS.2020.3004199
Deep interest shifting network with meta embeddings for fresh item recommendation
Li, Zhao, Wang, Haobo, Ding, Donghui, Hu, Shichang, Zhang, Zhen, Liu, Weiwei, Gao, Jianliang, Zhang, Zhiqiang and Zhang, Ji. 2020. "Deep interest shifting network with meta embeddings for fresh item recommendation." Complexity. https://doi.org/10.1155/2020/8828087
An efficient chain structure to mine high-utility sequential patterns
Lin, Jerry Chun-Wei, Li, Yuanfa, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2019. "An efficient chain structure to mine high-utility sequential patterns." 19th IEEE International Conference on Data Mining Workshops (ICDMW 2019). Beijing, China 08 - 11 Nov 2019 https://doi.org/10.1109/ICDMW.2019.00146
Identification of stress impact on personality density distributions
Lys, Brendan, Tao, Xiaohui, Machin, Tony, Zhang, Ji and Zhong, Ning. 2019. "Identification of stress impact on personality density distributions." Liang, Peipeng, Goel, Vinod and Shan, Chunlei (ed.) 12th International Conference on Brain Informatics (BI 2019). Haikou, China 13 - 15 Dec 2019 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-030-37078-7_26
SLIND: identifying stable links in online social networks
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Zheng, Xiaoyao, Luo, Yonglong and Lin, Jerry Chun-Wei. 2018. "SLIND: identifying stable links in online social networks." Pei, Jian, Sadiq, Shazia, Manolopoulos, Yannis and Li, Jianxin (ed.) 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018). Gold Coast, Australia 21 - 24 May 2018 Switzerland. https://doi.org/10.1007/978-3-319-91458-9_54
Anonymization of multiple and personalized sensitive attributes
Lin, Jerry Chun-Wei, Liu, Qiankun, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2018. "Anonymization of multiple and personalized sensitive attributes." Ordonez, Carlos and Bellatreche, Ladjel (ed.) 20th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2018). Regensburg, Germany 03 - 06 Sep 2018 Cham, Switzerland. https://doi.org/10.1007/978-3-319-98539-8_16
The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA)
Zhou, Xiangmin, Zhang, Ji and Zhang, Yanchun. 2019. "The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA)." 12th ACM International Conference on Web Search and Data Mining (WSDM 2019). Melbourne, Australia 11 - 15 Feb 2019 New York, United States. https://doi.org/10.1145/3289600.3291372
PPSF: an open-source privacy-preserving and security mining framework
Lin, Jerry Chun-Wei, Fournier-Viger, Philippe, Wu, Lintai, Gan, Wensheng, Djenouri, Youcef and Zhang, Ji. 2018. "PPSF: an open-source privacy-preserving and security mining framework." Tong, Hanghang, Li, Zhenhui (Jessie), Zhu, Feida and Yu, Jeffrey (ed.) 18th IEEE International Conference on Data Mining Workshops (ICDMW 2018). Singapore 17 - 20 Nov 2018 New York, United States. https://doi.org/10.1109/ICDMW.2018.00208
Feature-Based Learning in Drug Prescription System for Medical Clinics
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2020. "Feature-Based Learning in Drug Prescription System for Medical Clinics." Neural Processing Letters. 52, pp. 1703-1721. https://doi.org/10.1007/s11063-020-10296-7
A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Diykh, Mohammed and Lin, Jerry Chun-Wei. 2018. "A structural graph-coupled advanced machine learning ensemble model for disease risk prediction in a telehealthcare environment." Roy, Sanjiban Sekhar, Samui, Pijushi, Deo, Ravinesh and Ntalampiras, Stalampiras (ed.) Big data in engineering applications. Singapore. Springer. pp. 363-384
Enhanced sequence labeling based on latent variable conditional random fields
Lin, Jerry Chun-Wei, Shao, Yinan, Zhang, Ji and Yun, Unil. 2020. "Enhanced sequence labeling based on latent variable conditional random fields." Neurocomputing. 403, pp. 431-440. https://doi.org/10.1016/j.neucom.2020.04.102
SLIND+: stable LINk detection
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Li, Hongzhou, Chen, Fulong and Luo, Yonglong. 2020. "SLIND+: stable LINk detection." Hou U, Leong, Yang, Jian, Cai, Yi, Karlapalem, Kamalakar, Liu, An and Huang, Xin (ed.) 20th International Conference on Web Information Systems Engineering (WISE 2019): Workshop, Demo and Tutorial. Hong Kong, China 19 - 22 Jan 2020 Singapore. https://doi.org/10.1007/978-981-15-3281-8_8
A novel differential privacy recommendation method based on distributed framework
Zheng, Xiaoyao, Luo, Yonglong, Zhang, Ji, Sun, Liping and Chen, Fulong. 2018. "A novel differential privacy recommendation method based on distributed framework." Tong, Hanghang, Li, Zhenhui (Jessie), Zhu, Feida and Yu, Jeffrey (ed.) 2018 Workshop on Scalable and Applicable Recommendation Systems (SAREC 2018), in conjunction with the 18th IEEE International Conference on Data Mining (ICDM 2018). Singapore 17 - 20 Nov 2018 Los Alamitos, California. https://doi.org/10.1109/ICDMW.2018.00189
Mining health knowledge graph for health risk prediction
Tao, Xiaohui, Pham, Thuan, Zhang, Ji, Yong, Jianming, Goh, Wee Pheng, Zhang, Wenping and Cai, Yi. 2020. "Mining health knowledge graph for health risk prediction." World Wide Web. 23 (4), pp. 2341-2362. https://doi.org/10.1007/s11280-020-00810-1
REISCH: incorporating lightweight and reliable algorithms into healthcare applications of WSNs
Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2020. "REISCH: incorporating lightweight and reliable algorithms into healthcare applications of WSNs." Applied Sciences. 10 (6), pp. 1-36. https://doi.org/10.3390/app10062007
Constructing a knowledge-based heterogeneous information graph for medical health status classification
Pham, Thuan, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2020. "Constructing a knowledge-based heterogeneous information graph for medical health status classification." Health Information Science and Systems. 8 (1). https://doi.org/10.1007/s13755-020-0100-6
Relational intelligence recognition in online social networks - a survey
Zhang, Ji, Tan, Leonard, Tao, Xiaohui, Pham, Thuan and Chen, Bing. 2020. "Relational intelligence recognition in online social networks - a survey." Computer Science Review. 35. https://doi.org/10.1016/j.cosrev.2019.100221
A general extensible learning approach for multi-disease recommendations in a telehealth environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Zhu, Xiaodong, Li, Hongzhou, Chang, Liang and Deo, Ravinesh. 2020. "A general extensible learning approach for multi-disease recommendations in a telehealth environment ." Pattern Recognition Letters. 132, pp. 106-114. https://doi.org/10.1016/j.patrec.2018.11.006
Efficient chain structure for high-utility sequential pattern mining
Lin, Jerry Chun-Wei, Li, Yuanfa, Fournier-Viger, Philippe, Djenouri, Youcef and Zhang, Ji. 2020. "Efficient chain structure for high-utility sequential pattern mining." IEEE Access. 8, pp. 40714-40722. https://doi.org/10.1109/ACCESS.2020.2976662
FRIOD: a deeply integrated feature-rich interactive system for effective and efficient outlier detection
Zhu, Xiaodong, Zhang, Ji, Li, Hongzhou, Fournier-Viger, Philippe, Lin, Jerry Chun-Wei and Chang, Liang. 2017. "FRIOD: a deeply integrated feature-rich interactive system for effective and efficient outlier detection." IEEE Access. 5, pp. 25682-25695. https://doi.org/10.1109/ACCESS.2017.2771237
Mining of high average-utility patterns with item-level thresholds
Lin, Jerry Chun-Wei, Li, Ting, Fournier-Viger, Philippe, Zhang, Ji and Guo, Xiangmin. 2019. "Mining of high average-utility patterns with item-level thresholds." Journal of Internet Technology. 20 (1), pp. 187-194. https://doi.org/10.3966/160792642019012001017
High average-utility sequential pattern mining based on uncertain databases
Lin, Jerry Chun-Wei, Li, Ting, Pirouz, Matin, Zhang, Ji and Fournier-Viger, Philippe. 2020. "High average-utility sequential pattern mining based on uncertain databases." Knowledge and Information Systems. 62 (3), pp. 1199-1228. https://doi.org/10.1007/s10115-019-01385-8
Efficient and secure multi-dimensional geometric range query over encrypted data in cloud
Li, Xingxin, Zhu, Youwen, Wang, Jian and Zhang, Ji. 2019. "Efficient and secure multi-dimensional geometric range query over encrypted data in cloud." Journal of Parallel and Distributed Computing. 131, pp. 44-54. https://doi.org/10.1016/j.jpdc.2019.04.015
Knowledge graph embedding by dynamic translation
Chang, Liang, Zhu, Manli, Gu, Tianlong, Bin, Chenzhong, Qian, Junyan and Zhang, Ji. 2017. "Knowledge graph embedding by dynamic translation." IEEE Access. 5 (3), pp. 20898-20907. https://doi.org/10.1109/ACCESS.2017.2759139
PAX: using pseudonymization and anonymization to protect patients’ identities and data in the healthcare system
Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2019. "PAX: using pseudonymization and anonymization to protect patients’ identities and data in the healthcare system." International Journal of Environmental Research and Public Health. 16 (1490), pp. 1-36. https://doi.org/10.3390/ijerph16091490
Efficient and secure ECDSA algorithm and its applications: a survey
Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2019. "Efficient and secure ECDSA algorithm and its applications: a survey." International Journal of Communication Networks and Information Security. 11 (1), pp. 7-35.
A two-phase approach to mine short-periodic high utility itemsets in transactional databases
Lin, Jerry Chun-Wei, Zhang, Jiexiong, Fournier-Viger, Philippe, Hong, Tzung-Pei and Zhang, Ji. 2017. "A two-phase approach to mine short-periodic high utility itemsets in transactional databases." Advanced Engineering Informatics: the science of supporting knowledge-intensive activities. 33, pp. 29-43. https://doi.org/10.1016/j.aei.2017.04.007
RAMHU: A new robust lightweight scheme for mutual users authentication in healthcare applications
Al-Zubaidie, Mishall, Zhang, Zhongwei and Zhang, Ji. 2019. "RAMHU: A new robust lightweight scheme for mutual users authentication in healthcare applications." Security and Communication Networks. 2019, pp. 1-26. https://doi.org/10.1155/2019/3263902
A novel social network hybrid recommender system based on hypergraph topologic structure
Zheng, Xiaoyao, Luo, Yonglong, Sun, Liping, Ding, Xintao and Zhang, Ji. 2018. "A novel social network hybrid recommender system based on hypergraph topologic structure." World Wide Web. 21 (4), pp. 985-1013. https://doi.org/10.1007/s11280-017-0494-5
Exploiting highly qualified pattern with frequency and weight occupancy
Gan, Wensheng, Lin, Jerry Chun-Wei, Fournier-Viger, Philippe, Chao, Han-Chieh, Zhan, Justin and Zhang, Ji. 2018. "Exploiting highly qualified pattern with frequency and weight occupancy." Knowledge and Information Systems. 56 (1), pp. 165-196. https://doi.org/10.1007/s10115-017-1103-8
An infrastructure framework for privacy protection of community medical internet of things - transmission protection, storage protection and access control
Chen, Fulong, Luo, Yonglong, Zhang, Ji, Zhu, Junru, Zhang, Ziyang, Zhao, Chuanxin and Wang, Taochun. 2018. "An infrastructure framework for privacy protection of community medical internet of things - transmission protection, storage protection and access control." World Wide Web. 21 (1), pp. 33-57. https://doi.org/10.1007/s11280-017-0455-z
A tourism destination recommender system using users' sentiment and temporal dynamics
Zheng, Xiaoyao, Luo, Yonglong, Sun, Liping, Zhang, Ji and Chen, Fulong. 2018. "A tourism destination recommender system using users' sentiment and temporal dynamics." Journal of Intelligent Information Systems. 51 (3), pp. 557-578. https://doi.org/10.1007/s10844-018-0496-5
On relational learning and discovery in social networks: a survey
Zhang, Ji, Tan, Leonard and Tao, Xiaohui. 2018. "On relational learning and discovery in social networks: a survey." International Journal of Machine Learning and Cybernetics. 10 (8), pp. 2085-2102. https://doi.org/10.1007/s13042-018-0823-8
Drug prescription support in dental clinics through drug corpus mining
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji, Yong, Jianming, Zhang, Wenping and Xie, Haoran. 2018. "Drug prescription support in dental clinics through drug corpus mining." International Journal of Data Science and Analytics. 6 (4), pp. 341-349. https://doi.org/10.1007/s41060-018-0149-3
Mining drug properties for decision support in dental clinics
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2017. "Mining drug properties for decision support in dental clinics." Kim, J., Shim, K., Cao, L., Lee, J., Lin, X. and Moon, Y. (ed.) 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017). Jeju, South Korea 23 - 26 May 2017 Germany. Springer. https://doi.org/10.1007/978-3-319-57529-2_30
Coupling topic modelling in opinion mining for social media analysis
Zhou, Xujuan, Tao, Xiaohui, Rahman, Md Mostafijur and Zhang, Ji. 2017. "Coupling topic modelling in opinion mining for social media analysis." 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017). Leipzig, Germany 23 - 26 Aug 2017 New York, United States. https://doi.org/10.1145/3106426.3106459
A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Abbas, Wessam, Luo, Yonglong, Chen, Fulong and Tseng, Vincent S.. 2017. "A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset." Kim, Jinho, Shim, Kyuseok, Cao, Longbing, Lee, Jae-Gil, Lin, Xuemin and Moon, Yang-Sae (ed.) 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2017). Jeju, South Korea 23 - 26 May 2017 Switzerland. Springer. https://doi.org/10.1007/978-3-319-57454-7_51
A survey of itemset mining
Fournier-Viger, Philippe, Lin, Jerry Chun-Wei, Vo, Bay, Chi, Tin Truong, Zhang, Ji and Le, Hoai Bac. 2017. "A survey of itemset mining." WIREs Data Mining and Knowledge Discovery. 7 (4). https://doi.org/10.1002/widm.1207
Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment
Zhang, Ji, Lafta, Raid, Tao, Xiaohui, Li, Yan, Chen, Fulong, Luo, Yonglong and Zhu, Xiaodong. 2017. "Coupling a fast fourier transformation with a machine learning ensemble model to support recommendations for heart disease patients in a telehealth environment." IEEE Access. 5 (1), pp. 10674-10685. https://doi.org/10.1109/ACCESS.2017.2706318
Detecting global outliers from large distributed databases
Zhang, Ji, Cao, Jie and Zhu, Xiaodong. 2012. "Detecting global outliers from large distributed databases." Liu, Yanbing, Yue, Shigang, Leung, Frank H. F., Zhao, Guofeng and Wang, Lipo (ed.) 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2012). Chongqing, China 29 - 31 May 2012 Piscataway, NJ. United States. https://doi.org/10.1109/FSKD.2012.6233948
Fast local neighborhood search algorithm for the no-wait flow shop scheduling with total flow time minimization
Qi, Xuemei, Wang, Hongtao, Zhu, Haihong, Zhang, Ji, Chen, Fulong and Yang, Jie. 2016. "Fast local neighborhood search algorithm for the no-wait flow shop scheduling with total flow time minimization." International Journal of Production Research. 54 (16), pp. 4957-4972. https://doi.org/10.1080/00207543.2016.1150615
GO-PEAS: a scalable yet accurate grid-based outlier detection method using novel pruning searching techniques
Li, Hongzhou, Zhang, Ji, Luo, Yonglong, Chen, Fulong and Chang, Liang. 2016. "GO-PEAS: a scalable yet accurate grid-based outlier detection method using novel pruning searching techniques." Ray, T., Sarker, R. and Li, X. (ed.) 2nd Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2016). Canberra, Australia 02 - 05 Feb 2016 Switzerland. Springer. https://doi.org/10.1007/978-3-319-28270-1_11
Settlement analyses of underground circular tunneling in soft clay
Shiau, J. S., Sams, M. S., Zhang, J. and Kemp, R. J.. 2014. "Settlement analyses of underground circular tunneling in soft clay." Yoo, Chungsik, Park, Seong-Wan, Kim, Bumjoo and Ban, Hoki (ed.) 8th International Symposium on Geotechnical Aspects of Underground Construction in Soft Ground (TC204 ISSMGE IS-SEOUL 2014). Seoul, Korea 25 - 27 Aug 2014 Netherlands. https://doi.org/10.1201/b17240-63
IRS-HD: an intelligent personalized recommender system for heart disease patients in a tele-health environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan and Tseng, Vincent S.. 2016. "IRS-HD: an intelligent personalized recommender system for heart disease patients in a tele-health environment." Li, Jinyan, Li, Xue, Wang, Shuliang, Li, Jianxin and Sheng, Quan Z. (ed.) 12th International Conference on Advanced Data Mining and Applications (ADMA 2016). Gold Coast, QLD, Australia 12 - 15 Dec 2016 Switzerland. https://doi.org/10.1007/978-3-319-49586-6_58
Positive Influence Dominating Set Games
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui, Zhang, Ji, Yi, Xun and Yong, Jianming. 2014. "Positive Influence Dominating Set Games." Hou, Jiang-Liang, Trappey, Amy J. C., Wu, Chien-Wei, Chang, Kuo-Hao, Liao, Chuing-Shou, Shen, Wei-Ming, Barthes, Jean-Paul and Luo, Jun-Zhou (ed.) 18th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2014). Hsinchu, Taiwan 21 - 23 May 2014 United States. https://doi.org/10.1109/CSCWD.2014.6846890
PFrauDetector: a parallelized graph mining approach for efficient fraudulent phone call detection
Ying, Josh Jia-Ching, Zhang, Ji, Huang, Che-Wei, Chen, Kuan-Ta and Tseng, Vincent S.. 2016. "PFrauDetector: a parallelized graph mining approach for efficient fraudulent phone call detection." 22nd IEEE International Conference on Parallel and Distributed Systems (ICPADS 2016). Wuhan, China 13 - 16 Dec 2016 United States. https://doi.org/10.1109/ICPADS.2016.0140
NSSSD: a new semantic hierarchical storage for sensor data
Gheisari, Mehdi, Movassagh, Ali Akbar, Qin, Yongrui, Yong, Jianming, Tao, Xiaohui, Zhang, Ji and Shen, Haifeng. 2016. "NSSSD: a new semantic hierarchical storage for sensor data." 20th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2016). Nanchang, China 04 - 06 May 2016 United States. https://doi.org/10.1109/CSCWD.2016.7565984
Adopting hybrid descriptors to recognise leaf images for automatic plant specie identification
Al-kharaz, Ali A., Tao, Xiaohui, Zhang, Ji and Lafta, Raid. 2016. "Adopting hybrid descriptors to recognise leaf images for automatic plant specie identification." Li, Jinyan, Li, Xue, Wang, Shuliang, Li, Jianxin and Sheng, Quan Z. (ed.) 12th International Conference on Advanced Data Mining and Applications (ADMA 2016). Gold Coast, QLD, Australia 12 - 15 Dec 2016 Switzerland. https://doi.org/10.1007/978-3-319-49586-6_15
Sentiment analysis for depression detection on social networks
Tao, Xiaohui, Zhou, Xujuan, Zhang, Ji and Yong, Jianming. 2016. "Sentiment analysis for depression detection on social networks." Li, Jinyan, Li, Xue, Wang, Xue, Li, Jianxin and Sheng, Quan Z. (ed.) 12th International Conference on Advanced Data Mining and Applications (ADMA 2016). Gold Coast, QLD, Australia 12 - 15 Dec 2016 Switzerland. https://doi.org/10.1007/978-3-319-49586-6_59
Anonymity-based privacy preserving network data publication
Liu, Peng, Li, Yidong, Sang, Yingpeng and Zhang, Ji. 2016. "Anonymity-based privacy preserving network data publication." 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2016). Tianjin, China 23 - 26 Aug 2016 Los Alamitos, CA. United States. https://doi.org/10.1109/TrustCom.2016.0144
An intelligent recommender system based on predictive analysis in telehealthcare environment
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan, Tseng, Vincent S., Luo, Yonglong and Chen, Fulong. 2016. "An intelligent recommender system based on predictive analysis in telehealthcare environment." Web Intelligence. 14 (4), pp. 325-336. https://doi.org/10.3233/WEB-160348
An Intelligent Recommender System based on Short-term Risk Prediction for Heart Disease Patients
Lafta, Raid, Zhang, Ji, Tao, Xiaohui, Li, Yan and Tseng, Vincent S.. 2015. "An Intelligent Recommender System based on Short-term Risk Prediction for Heart Disease Patients." 4th International Workshop on Web Personalization, Recommender Systems and Social Media (WPRSM2015), Joint with WI-IAT 2015. Singapore 06 - 09 Dec 2015 Singapore. https://doi.org/10.1109/WI-IAT.2015.47
A study of drug interaction for personalised decision support in dental clinics
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2015. "A study of drug interaction for personalised decision support in dental clinics." 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2015). Singapore 06 - 09 Dec 2015 https://doi.org/10.1109/WI-IAT.2015.28
Efficient Algorithms for Scheduling XML Data in a Mobile Wireless Broadcast Environment
Qin, Yongrui, Wang, Hua, Zhang, Ji, Tao, Xiaohui, Zhang, Wei Emma, Taylor, Kerry and Sheng, Quan Z.. 2015. "Efficient Algorithms for Scheduling XML Data in a Mobile Wireless Broadcast Environment." 21st IEEE International Conference on Parallel and Distributed Systems (ICPADS 2015). Melbourne, Australia 14 - 17 Dec 2015 Australia. https://doi.org/10.1109/ICPADS.2015.96
Decision support systems for adoption in dental clinics: a survey
Goh, Wee Pheng, Tao, Xiaohui, Zhang, Ji and Yong, Jianming. 2016. "Decision support systems for adoption in dental clinics: a survey." Knowledge-Based Systems. 104, pp. 195-206. https://doi.org/10.1016/j.knosys.2016.04.022
A standardized design methodology for complex digital logic components of cyber-physical systems
Chen, F., Ye, H., Yang, J., Huang, Y., Zhang, J., Qi, X., Zhao, C., Zhu, J. and Zhou, W.. 2015. "A standardized design methodology for complex digital logic components of cyber-physical systems." Microprocessors and Microsystems. 39 (8), pp. 1245-1254. https://doi.org/10.1016/j.micpro.2015.08.012
Explore interregional EEG correlations changed by sport training using feature selection
Gao, Jia, Wang, Wei and Zhang, Ji. 2016. "Explore interregional EEG correlations changed by sport training using feature selection." Computational Intelligence and Neuroscience. 2016. https://doi.org/10.1155/2016/6184823
On efficient and robust anonymization for privacy protection on massive streaming categorical information
Zhang, Ji, Li, Hongzhou, Liu, Xuemei, Luo, Yonglong, Chen, Fulong, Wang, Hua and Chang, Liang. 2017. "On efficient and robust anonymization for privacy protection on massive streaming categorical information." IEEE Transactions on Dependable and Secure Computing. 14 (5), pp. 507-520. https://doi.org/10.1109/TDSC.2015.2483503
Finding weighted positive influence dominating set to make impact to negatives: a study on online social networks in the new millennium
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2014. "Finding weighted positive influence dominating set to make impact to negatives: a study on online social networks in the new millennium." Kaur, Harleen and Tao, Xiaohui (ed.) ICTs and the millennium development goals: a United Nations perspective. New York, NY. United States. Springer. pp. 67-81
A novel artificial immune algorithm for spatial clustering with obstacle constraint and its applications
Sun, Liping, Luo, Yonglong, Ding, Xintao and Zhang, Ji. 2014. "A novel artificial immune algorithm for spatial clustering with obstacle constraint and its applications." Computational Intelligence and Neuroscience. 2014. https://doi.org/10.1155/2014/160730
A dynamic subspace anomaly detection method using generic algorithm for streaming network data
Zhang, Ji and Li, Hongzhou. 2015. "A dynamic subspace anomaly detection method using generic algorithm for streaming network data." Gupta, Manish (ed.) Handbook of research on emerging developments in data privacy. Hershey, PA. United States. IGI Global. pp. 403-425
Detecting anomalies from big network traffic data using an adaptive detection approach
Zhang, Ji, Li, Hongzhou, Gao, Qigang, Wang, Hai and Luo, Yonglong. 2015. "Detecting anomalies from big network traffic data using an adaptive detection approach." Information Sciences. 318, pp. 91-110. https://doi.org/10.1016/j.ins.2014.07.044
Energy effective congestion control for multicast with network coding in wireless ad hoc network
Zhao, Chuanxin, Luo, Yonglong, Chen, Fulong, Zhang, Ji and Wang, Ruchuan. 2014. "Energy effective congestion control for multicast with network coding in wireless ad hoc network." Mathematical Problems in Engineering. https://doi.org/10.1155/2014/135945
Telemedicine and Telemonitoring in Healthcare
Alsgaer, Salmah F. A., Tao, Xiaohui, Zhang, Ji, Wang, Hua and Guo, Zhi. 2013. "Telemedicine and Telemonitoring in Healthcare." Imamura, Kazayuki, Usui, Shiro and Shirao, Tomoaki (ed.) 2013 International Conference on Brain and Health Informatics (BHI 2013). Maebashi, Japan 29 - 31 Oct 2013 Germany. https://doi.org/10.1007/978-3-319-02753-1_20
SIMS: Self-adaptive Intelligent Monitoring System for supporting home-based heart failure patients
Wang, Hua, Zhang, Ji, Soar, Jeffrey, Tao, Xiaohui and Huang, Wei. 2013. "SIMS: Self-adaptive Intelligent Monitoring System for supporting home-based heart failure patients." Biswas, Jit, Kobayashi, Hisato, Wong, Lawrence, Abdulrazak, Bessam and Mokhtari, Mounir (ed.) 11th International Conference on Smart Homes and Health Telematics (ICOST 2013): Inclusive Society: Health and Wellbeing in Ageing-Friendly Community: eHealth, Telemedicine, Chronic Disease Management and Care at Home. Singapore 19 - 21 Jun 2013 Heidelberg, Germany. Springer. https://doi.org/10.1007/978-3-642-39470-6_43
Minimising k-dominating set in arbitrary network graphs
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui, Zhang, Ji and Zhang, Jinhua. 2013. "Minimising k-dominating set in arbitrary network graphs." Motoda, Hiroshi, Wu, Zhaohui, Cao, Longbing, Zaiane, Osmar, Yao, Min and Wang, Wei (ed.) 9th International Conference on Advanced Data Mining and Applications (ADMA 2013). Hangzhou, China 14 - 16 Dec 2013 Heidelberg, Germany. Springer. https://doi.org/10.1007/978-3-642-53917-6_11
An efficient and robust privacy protection technique for massive streaming choice-based information
Zhang, Ji, Liu, Xuemei and Luo, Yonglong. 2013. "An efficient and robust privacy protection technique for massive streaming choice-based information." He, Qi and Iyengar, Arun (ed.) 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013). San Francisco, United States 27 Oct - 01 Nov 2013 New York, NY. United States. https://doi.org/10.1145/2505515.2507816
SODIT: An innovative system for outlier detection using multiple localized thresholding and interactive feedback
Zhang, Ji, Wang, Hua, Tao, Xiaohui and Sun, Lili. 2013. "SODIT: An innovative system for outlier detection using multiple localized thresholding and interactive feedback." 29th IEEE International Conference on Data Engineering (ICDE 2013). Brisbane, Australia 08 - 11 Apr 2013 Piscataway, NJ. United States. https://doi.org/10.1109/ICDE.2013.6544945
Finding a weighted positive influence dominating set in e-learning social networks
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui, Zhang, Ji and Zhu, Guohun. 2013. "Finding a weighted positive influence dominating set in e-learning social networks." International Journal of Computers and Technology. 10 (10), pp. 2136-2145.
A self-stabilizing algorithm for finding a minimal positive influence dominating set in social networks
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2013. "A self-stabilizing algorithm for finding a minimal positive influence dominating set in social networks." Wang, Hua and Zhang, Rui (ed.) 24th Australasian Database Conference (ADC 2013). Adelaide, Australia 29 Jan - 01 Feb 2013 Sydney, Australia.
Mapping semantic knowledge for unsupervised text categorisation
Tao, Xiaohui, Li, Yuefeng, Zhang, Ji and Yong, Jianming. 2013. "Mapping semantic knowledge for unsupervised text categorisation." Wang, Hua and Rui, Zhang (ed.) 24th Australasian Database Conference (ADC 2013). Adelaide, Australia 29 Jan - 01 Feb 2013 Sydney, Australia.
Outlier detection from large distributed databases
Zhang, Ji, Wang, Hua and Tao, Xiaohui. 2014. "Outlier detection from large distributed databases." World Wide Web. 17 (4), pp. 539-568. https://doi.org/10.1007/s11280-013-0218-4
A Self-Stabilizing Protocol for Minimal Weighted Dominating Sets in Arbitrary Networks
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2013. "A Self-Stabilizing Protocol for Minimal Weighted Dominating Sets in Arbitrary Networks." Shen, Weiming, Li, Weidong, Barthes, Jean-Paul, Luo, Junzhou, Zhu, Haibin, Yong, Jianming and Li, Xiaoping (ed.) IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013). Whistler, Canada 27 - 29 Jun 2013 United States. https://doi.org/10.1109/CSCWD.2013.6581012
Advancements of outlier detection: a survey
Zhang, Ji. 2013. "Advancements of outlier detection: a survey." ICST Transactions on Scalable Information Systems. 13 (1), pp. 1-26. https://doi.org/10.4108/trans.sis.2013.01-03.e2
An innovative outlier detection method using localized thresholds
Zhang, Ji, Cao, Jie and Zhu, Xiaodong. 2012. "An innovative outlier detection method using localized thresholds." Data and Knowledge Engineering. https://doi.org/10.1007/978-3-642-34679-8-7
Efficient and effective filtering of duplication detection in large database applications
Zhang, Ji. 2012. "Efficient and effective filtering of duplication detection in large database applications." Journal of Software. 7 (11), pp. 2424-2436. https://doi.org/10.4304/jsw.7.11.2424-2436
A self-stabilizing algorithm for finding a minimal K-dominating set in general networks
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2012. "A self-stabilizing algorithm for finding a minimal K-dominating set in general networks." Xiang, Yang, Pathan, Mukaddim, Tao, Xiaohui and Wan g, Hua (ed.) 3rd International Conference on Data and Knowledge Engineering (ICDKE 2012). Fujian, China 21 - 23 Nov 2012 Berlin, Germany. Springer. https://doi.org/10.1007/978-3-642-34679-8_8
Optimal timepoint sampling in high-throughput gene expression experiments
Rosa, Bruce A., Zhang, Ji, Major, Ian T., Qin, Wensheng and Chen, Jin. 2012. "Optimal timepoint sampling in high-throughput gene expression experiments." Bioinformatics. 28 (21), pp. 2773-2781. https://doi.org/10.1093/bioinformatics/bts511
Positive influence dominating set in e-learning social networks
Wang, Guangyuan, Wang, Hua, Tao, Xiaohui and Zhang, Ji. 2011. "Positive influence dominating set in e-learning social networks." Leung, H., Popescu, E., Cao, Y., Lau, R. W. H. and Nejdl, W. (ed.) 10th International Conference on Web-Based Learning (ICWL 2011): Advances in Web-Based Learning. Hong Kong, China 08 - 10 Dec 2011 Berlin, Germany. https://doi.org/10.1007/978-3-642-25813-8_9
A process provenance service system for scientific data analysis and sharing
Liu, Qing, Zhang, Ji, Forbes, James, Xu, Kai and Nair, Dinesh. 2011. "A process provenance service system for scientific data analysis and sharing." Zhang, Ji and Livraga, Gionvanni (ed.) 2nd International Conference on Data and Knowledge Engineering (ICDKE 2011). Milan, Italy 06 - 08 Sep 2011 Piscataway, NJ. United States. https://doi.org/10.1109/ICDKE.2011.6053921
Privacy aware access control with trust management in web service
Li, Min, Sun, Xiaoxun, Wang, Hua, Zhang, Yanchun and Zhang, Ji. 2011. "Privacy aware access control with trust management in web service." World Wide Web. 14 (4), pp. 407-430. https://doi.org/10.1007/s11280-011-0114-8
DISTRO: a system for detecting global outliers from distributed data streams with privacy protection
Zhang, Ji, Dekeyser, Stijn, Wang, Hua and Shu, Yanfeng. 2010. "DISTRO: a system for detecting global outliers from distributed data streams with privacy protection." Kitagawa, Hiroyuki, Ishikawa, Yoshiharu, Li, Qing and Watanabe, Chiemi (ed.) DASFAA 2010: 15th International Conference on Database Systems for Advanced Applications. Tsukuba, Japan 01 - 04 Apr 2010 Germany. Springer. https://doi.org/10.1007/978-3-642-12098-5_54
On memory and I/O efficient duplication detection for multiple self-clean data sources
Zhang, Ji, Shu, Yanfeng and Wang, Hua. 2010. "On memory and I/O efficient duplication detection for multiple self-clean data sources." Yoshikawa, M. (ed.) DASFAA 2010: 15th International Conference on Database Systems for Advanced Applications. Tsukuba, Japan 01 - 04 Apr 2010 Germany. Springer. https://doi.org/10.1007/978-3-642-14589-6_14
An information-driven framework for image mining
Zhang, Ji, Hsu, Wynne and Lee, Mong Li. 2001. "An information-driven framework for image mining." Mayr, Heinrich C., Lazansky, Jiri, Quirchmayr, Gerald and Vogel, Pavel (ed.) 12th International Conference on Database and Expert Systems Applications (DEXA'01). Munich, Germany 03 - 05 Sep 2001 Germany. Springer. https://doi.org/10.1007/3-540-44759-8_24
Building XML data warehouse based on frequent patterns in user queries
Zhang, Ji, Ling, Tok Wang, Bruckner, Robert and Tjoa, A. Min. 2003. "Building XML data warehouse based on frequent patterns in user queries." Kambayahsi, Yahiko, Mohania, Mukesh K. and Wob, Wolfram (ed.) 5th International Conference on Data Warehousing and Knowledge Discovery (DaWaK'03). Prague, Czech Republic 03 - 05 Sep 2003 Germany. Springer. https://doi.org/10.1007/978-3-540-45228-7_11
On efficient and effective association rule mining from XML data
Zhang, Ji, Ling, Tok Wang, Bruckner, Robert, Tjoa, A. Min and Liu, Han. 2004. "On efficient and effective association rule mining from XML data." Galindo, Fernando, Takizawa, Makoto and Traunmuller, Roland (ed.) 15th International Conference on Database and Expert Systems Applications (DEXA'04). Zaragoza, Spain 30 Aug - 03 Sep 2004 Germany. Springer. https://doi.org/10.1007/978-3-540-30075-5_48
PC-filter: a Robust filtering technique for duplicate record detection in large databases
Zhang, Ji, Ling, Tok Wang, Bruckner, Robert and Liu, Han. 2004. "PC-filter: a Robust filtering technique for duplicate record detection in large databases." Galindo, Fernando, Takizawa, Makoto and Traunmuller, Roland (ed.) 15th International Conference on Database and Expert Systems Applications (DEXA'04). Zaragoza, Spain 30 Aug - 03 Sep 2004 Germany. Springer. https://doi.org/10.1007/978-3-540-30075-5_47
Gene specific co-regulation discovery: an improved approach
Zhang, Ji, Liu, Qing and Xu, Kai. 2009. "Gene specific co-regulation discovery: an improved approach." Allen, G., Nabrzyski, J., Seidel, E., van Albada, G. D., Dongarra, J. and Sloot, P. M. A. (ed.) 2009 International Conference on Computational Science (ICCS 2009): Compute. Discover. Innovate.. Baton Rouge, United States of America 25 - 27 May 2009 Germany. Springer.
Detecting projected outliers in high-dimensional data streams
Zhang, Ji, Gao, Qigang, Wang, Hai, Liu, Qing and Xu, Kai. 2009. "Detecting projected outliers in high-dimensional data streams." Bhowmick, Sourav S., Kung, Josef and Wagner, Roland (ed.) 20th International Conference on Database and Expert Systems Applications (DEXA 2009). Linz, Austria 31 Aug - 04 Sep 2009 Germany. Springer. https://doi.org/10.1007/978-3-642-03573-9_53
Web service management system for bioinformatics research: a case study
Xu, Kai, Yu, Qi, Liu, Qing, Zhang, Ji and Bouguettaya, Athman. 2011. "Web service management system for bioinformatics research: a case study." Service Oriented Computing and Applications. 5 (1), pp. 1-15. https://doi.org/10.1007/s11761-011-0076-9
Detecting anomalies from high-dimensional wireless network data streams: a case study
Zhang, Ji, Gao, Qigang, Wang, Hai and Wang, Hua. 2011. "Detecting anomalies from high-dimensional wireless network data streams: a case study." Soft Computing. 15 (6), pp. 1195-1215. https://doi.org/10.1007/s00500-010-0575-1
Privacy-preserving protocols for string matching
Luo, Yonglong, Shi, Lei, Zhang, Caiyun and Zhang, Ji. 2010. "Privacy-preserving protocols for string matching." Xiang, Yang, Samarati, Pierangela, Hu, Jiankun, Zhou, Wanlei and Sadeghi, Ahmad-Reza (ed.) NSS 2010: 4th International Conference on Network and System Security . Melbourne, Australia 01 - 03 Sep 2010 Piscataway, NJ. United States. https://doi.org/10.1109/NSS.2010.24
An efficient and effective duplication detection method in large database applications
Zhang, Ji. 2010. "An efficient and effective duplication detection method in large database applications." Xiang, Yang, Samarati, Pierangela, Hu, Jiankun, Zhou, Wanlei and Sadeghi, Ahmad-Reza (ed.) NSS 2010: 4th International Conference on Network and System Security . Melbourne, Australia 01 - 03 Sep 2010 Los Alamitos, CA. United States. https://doi.org/10.1109/NSS.2010.78
A web-based interactive data visualization system for outlier subspace analysis
Liu, Dong, Gao, Qigang, Wang, Hai and Zhang, Ji. 2010. "A web-based interactive data visualization system for outlier subspace analysis." Debnath, Narayan (ed.) SEDE 2010: 19th International Conference on Software Engineering and Data Engineering. San Francisco, United States 16 - 18 Jun 2010 Cary, NC. United States.
Semi-bipartite graph visualization for gene ontology networks
Xu, Kai, Williams, Rohan, Hong, Seok-Hee, Liu, Qing and Zhang, Ji. 2010. "Semi-bipartite graph visualization for gene ontology networks." Eppstein, D. and Gansner, E. R. (ed.) GD 2009: 17th International Symposium on Graph Drawing. Chicago, United States 22 - 25 Sep 2009 Heidelberg, Germany. Springer. https://doi.org/10.1007/978-3-642-11805-0_24
FlowRecommender: a workflow recommendation technique for process provenance
Zhang, Ji, Liu, Qing and Xu, Kai. 2009. "FlowRecommender: a workflow recommendation technique for process provenance." Kennedy, Paul J., Ong, Kok-Leong and Christen, Peter (ed.) 8th Australasian Data Mining Conference (AusDM 2009): Data Mining and Analytics. Melbourne, Australia 01 - 04 Dec 2009 Melbourne, Australia.
Image mining: issues, frameworks and techniques
Zhang, Ji, Hsu, Wynne and Lee, Mong Li. 2001. "Image mining: issues, frameworks and techniques." Zaïane, Osmar R. and Simoff, Simeon J. (ed.) 2nd ACM SIGKDD International Workshop on Multimedia Data Mining (MDM/KDD'01). San Francisco, USA 26 Aug 2001 Canada.
HOS-Miner: a system for detecting outlying subspaces of high-dimensional data
Zhang, Ji, Lou, Meng, Ling, Tok Wang and Wang, Hai. 2004. "HOS-Miner: a system for detecting outlying subspaces of high-dimensional data." Nascimento, Mario A., Özsu, M. Tamer, Kossmann, Donald, Miller, Renee J., Blakeley, Jose A. and Schiefer, K. Bernhard (ed.) 30th International Conference on Very Large Data Bases (VLDB'04). Toronto, Canada 31 Aug - 03 Sep 2004 San Francisco, California, United States.
Detecting outlying subspaces for high-dimensional data: the new task, algorithms and performance
Zhang, Ji and Wang, Hai. 2006. "Detecting outlying subspaces for high-dimensional data: the new task, algorithms and performance." Knowledge and Information Systems. 10 (3), pp. 333-355.
Outlier detection for high-dimensional data streams
Zhang, Ji, Gao, Qigang and Wang, Hai. 2007. "Outlier detection for high-dimensional data streams." 5th Dalhousie Computer Science In-house Conference (DCSI'07). Halifax, Canada 05 Apr 2007 Halifax, Nova Scotia, Canada.
D-GridMST: clustering large distributed spatial databases
Zhang, Ji and Liu, Han. 2005. "D-GridMST: clustering large distributed spatial databases." Halgamuge, Saman K. and Wang, Lipo (ed.) Classification and clustering for knowledge discovery. Berlin, Germany. Springer. pp. 61-72
A novel dimensionality reduction technique based on independent component analysis for modeling microarray gene expression data
Liu, Han, Kustra, Rafal and Zhang, Ji. 2004. "A novel dimensionality reduction technique based on independent component analysis for modeling microarray gene expression data." Arabnia, Hamid R. (ed.) 2004 International Conference on Artificial Intelligence (ICAI'04). Las Vegas, United States 21 - 24 Jun 2004 Las Vegas, Nevada, USA.
A color indexing scheme using two-Level clustering processing for effective and efficient image retrieval
Zhang, Ji, Wang, Wei and Zhang, Sheng. 2005. "A color indexing scheme using two-Level clustering processing for effective and efficient image retrieval." Arabnia, Hamid R. and Scime, A. (ed.) 2005 International Conference on Data Mining (DMIN'05). Las Vegas, United States of America Jun 2005 Las Vegas, Nevada, USA.
Image mining: trends and developments
Hsu, Wynne, Lee, Mong Li and Zhang, Ji. 2002. "Image mining: trends and developments." Journal of Intelligent Information Systems. 19 (1), pp. 7-23. https://doi.org/10.1023/A:1015508302797
A framework for efficent association rule mining in XML data
Zhang, Ji, Liu, Han, Ling, Tok Wang, Bruckner, Robert and Tjoa, A. Min. 2006. "A framework for efficent association rule mining in XML data." Journal of Database Management. 17 (3), pp. 19-40.
Gene specific co-regulation discovery from gene microarray data
Zhang, Ji, Liu, Qing, Xu, Kai and de Souza, Paulo. 2008. "Gene specific co-regulation discovery from gene microarray data." Arthur, Jonathan and Ng, See-Kiong (ed.) 19th International Conference on Genome Informatics (GIW 2008). Gold Coast, Australia 01 - 03 Dec 2008
Discover gene specific local co-regulations from time-course gene expression data
Zhang, Ji, Gao, Qigang and Wang, Hai. 2008. "Discover gene specific local co-regulations from time-course gene expression data." Journal of Scientific Programming. 16 (1), pp. 31-47. https://doi.org/10.3233/SPR-2008-0243
A review of ontology and web service composition
Zhang, Ji. 2008. A review of ontology and web service composition. Australia. CSIRO Publishing.
Bio-SENSE: semantic web services for bioinformatics provenance
Bouguettaya, Athman, Hepburn, Mark, Liu, Qing, Xu, Kai and Zhang, Ji. 2008. "Bio-SENSE: semantic web services for bioinformatics provenance." Bird, Trevor (ed.) 2008 CSIRO ICT Centre Conference. Sydney, Australia 20 - 21 Nov 2008 Sydney, Australia.
Towards outlier detection for high-dimensional data streams using projected outlier analysis strategy
Zhang, Ji. 2008. Towards outlier detection for high-dimensional data streams using projected outlier analysis strategy. PhD Thesis Doctor of Philosophy. Dalhousie University, Canada.
X-warehouse: building query pattern-driven data warehouse for XML data
Zhang, Ji, Wang, Wei, Liu, Han and Zhang, Sheng. 2005. "X-warehouse: building query pattern-driven data warehouse for XML data." Ellis, Allan and Hagino, Tatsuya (ed.) 14th International World Wide Web Conference (WWW'05). Chiba, Japan 10 - 14 May 2005 New York, NY, USA.
XAR-Miner: efficient association rules mining for XML data
Zhang, Sheng, Zhang, Ji, Liu, Han and Wang, Wei. 2005. "XAR-Miner: efficient association rules mining for XML data." Ellis, Allan and Hagino, Tatsuya (ed.) 14th International World Wide Web Conference (WWW'05). Chiba, Japan 10 - 14 May 2005 New York, NY, USA.
Detecting outlying subspaces for high-dimensional data: a heuristic search approach
Zhang, Ji. 2005. "Detecting outlying subspaces for high-dimensional data: a heuristic search approach." 2005 SIAM International Workshop on Feature Selection for Data Mining: Interfacing Machine Learning and Statistics. Newport Beach, United States of America 23 Apr 2005
Outlying subspace detection for high-dimensional data
Zhang, Ji, Gao, Qigang and Wang, Hai. 2009. "Outlying subspace detection for high-dimensional data." Rivero, Laura C., Doorn, Jorge Horacio and Ferraggine, Viviana E. (ed.) Encyclopedia of database technologies and applications, 2nd ed.. Hershey, PA, United States. IGI Global. pp. 1-6
Grid-ODF: detecting outliers effectively and efficiently in large multi-dimensional databases
Wang, Wei, Zhang, Ji and Wang, Hai. 2005. "Grid-ODF: detecting outliers effectively and efficiently in large multi-dimensional databases." Hao, Y., Liu, J., Wang, Y., Cheung, Y.-M., Yin, H., Jiao, L., Ma, J. and Jiao, Y.-C. (ed.) 2005 IEEE International Conference on Computational Intelligence and Security (CIS'05). Xi'an, China 15 - 19 Dec 2005 Heidelberg, Germany.
Bio-Sense: a system for supporting sharing and exploration in bioinformatics using semantic web services
Bouguettaya, Athman, Hepburn, Mark, Liu, Qing, Xu, Kai and Zhang, Ji. 2008. "Bio-Sense: a system for supporting sharing and exploration in bioinformatics using semantic web services." 4th IEEE International Conference on eScience (eScience'08). Indianapolis, United States 10 - 12 Dec 2009 New York, United States.
Discover gene specific local co-regulations using progressive genetic algorithm
Zhang, Ji, Gao, Qigang and Wang, Hai. 2006. "Discover gene specific local co-regulations using progressive genetic algorithm." 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06). Washington D.C., United States 13 - 15 Nov 2006 New York, United States.
A novel method for detecting outlying subspaces in high-dimensional databases using genetic algorithm
Zhang, Ji, Gao, Qigang and Wang, Hai. 2006. "A novel method for detecting outlying subspaces in high-dimensional databases using genetic algorithm." 6th IEEE International Conference on Data Mining (ICDM 2006). Hong Kong, China 18 - 20 Dec 2006 New York, United States.
Anomaly detection in high-dimensional network data streams: a case study
Zhang, Ji, Gao, Qigang and Wang, Hai. 2008. "Anomaly detection in high-dimensional network data streams: a case study." 2008 IEEE International Conference on Intelligence and Security Informatics (ISI '08). Taipei, Taiwan 17 - 20 Jun 2008 New York, United States.
SPOT: a system for detecting projected outliers from high-dimensional data streams
Zhang, Ji, Gao, Qigang and Wang, Hai. 2008. "SPOT: a system for detecting projected outliers from high-dimensional data streams." 24th IEEE International Conference on Data Engineering (ICDE 2008). Cancun, Mexico 07 - 12 Apr 2008 New York, United States. https://doi.org/10.1109/ICDE.2008.4497638
Clustering in dynamic spatial databases
Zhang, Ji, Hsu, Wynne and Lee, Mong Li. 2005. "Clustering in dynamic spatial databases." Journal of Intelligent Information Systems. 24 (1), pp. 5-27. https://doi.org/10.1007/s10844-005-0265-0