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Jun Shen 0001

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affiliation: University of Wollongong, School of Information Systems and Technology, NSW, Australia
affiliation (PhD 2001): Southeast University, Nanjing, China

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2025
[j133]
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Jiangsong Xu, Jian Liu, Mingwei Lin, Jiayin Lin, Shenbao Yu, Liang Zhao, Jun Shen:
EPCTS: Enhanced Prompt-Aware Cross-Prompt Essay Trait Scoring. Neurocomputing 621: 129283 (2025)
[j132]
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Zhihan Lyu, James J. Park, Jun Shen, Houbing Song, Yi Zhang:
Guest Editorial: Generative Artificial Intelligence at the Edge in the Modern Internet of Things. IEEE Internet Things Mag. 8(1): 10-11 (2025)
[j131]
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Jessica Liu, Huaming Chen, Jun Shen, Kim-Kwang Raymond Choo:
FairCompass: Operationalizing Fairness in Machine Learning. IEEE Trans. Artif. Intell. 6(2): 281-291 (2025)
[j130]
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Zhao Su, Jun Shen, Yu Sun, Rizhen Hu, Qingguo Zhou, Binbin Yong:
Deep Spatio-Temporal Fuzzy Model for NDVI Forecasting. IEEE Trans. Fuzzy Syst. 33(1): 290-301 (2025)
[j129]
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Qian Liu, Yongxiang Xiao, Yaocheng Gui, Guilan Dai, Haoran Li, Xu Zhou, Aiai Ren, Guoqiang Zhou, Jun Shen:
MMF-RNN: A Multimodal Fusion Model for Precipitation Nowcasting Using Radar and Ground Station Data. IEEE Trans. Geosci. Remote. Sens. 63: 1-16 (2025)
[j128]
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Heng Zhou, Qingguo Zhou, Xiaorun Tang, Jun Shen, Binbin Yong, Yuanming Huang:
Electrical load forecasting based on the fusion of multi-scale features extracted by using neural ordinary differential equation. J. Supercomput. 81(1): 49 (2025)
[i22]
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  - journals/corr/abs-2501-15820
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Mingyuan Li, Jiahao Wang, Bo Du, Jun Shen, Qiang Wu:
FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities. CoRR abs/2501.15820 (2025)
2024
[j127]
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  - journals/aei/BeydounLGMS24
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Ghassan Beydoun, Graham Low, Asif Gill, Monir Moniruzzaman, Jun Shen:
Tailoring ontology retrieval for supporting requirements analysis. Adv. Eng. Informatics 59: 102231 (2024)
[j126]
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Guoqiang Zhou, Yuke Qin, Qiansen Hong, Haoran Li, Huaming Chen, Jun Shen:
GEMF: a novel geometry-enhanced mid-fusion network for PLA prediction. Briefings Bioinform. 25(4) (2024)
[j125]
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  - journals/dss/FahmidehAS24
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Mahdi Fahmideh, Babak Abedin, Jun Shen:
Towards an integrated framework for developing blockchain systems. Decis. Support Syst. 180: 114181 (2024)
[j124]
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  - journals/giq/BenmohamedSV24
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Nuria Benmohamed, Jun Shen, Elena Vlahu-Gjorgievska:
Public value creation through the use of open government data in Australian public sector: A quantitative study from employees' perspective. Gov. Inf. Q. 41(2): 101930 (2024)
[j123]
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Zhihan Lyu, James J. Park, Jun Shen, Houbing Song:
State-of-the-Art Human-Computer-Interaction in Metaverse. Int. J. Hum. Comput. Interact. 40(21): 6685-6689 (2024)
[j122]
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Zhihan Lyu, James J. Park, Jun Shen, Houbing Song, Yi Zhang:
Guest Editorial: Generative Artificial Intelligence at the Edge in The Modern Internet of Things. IEEE Internet Things Mag. 7(3): 12-14 (2024)
[j121]
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Jian Du, Haochong Li, Kaikai Lu, Jun Shen, Qi Liao, Jianqin Zheng, Rui Qiu, Yongtu Liang:
DeepPipe: A multi-stage knowledge-enhanced physics-informed neural network for hydraulic transient simulation of multi-product pipeline. J. Ind. Inf. Integr. 42: 100726 (2024)
[j120]
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  - journals/kbs/LiuZMBLSCSH24
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Wenzhen Liu, Guoqiang Zhou, Xiaoyu Mao, Shudi Bao, Haoran Li, Jiahua Shi, Huaming Chen, Jun Shen, Yuanming Huang:
Global disentangled graph convolutional neural network based on a graph topological metric. Knowl. Based Syst. 284: 111283 (2024)
[j119]
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  - journals/talip/LvLYSDLZY24
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Hui Lv, Hao Lv, Liu Yang, Jun Shen, La Duo, Yan Li, Qingguo Zhou, Binbin Yong:
Improved Tibetan Word Vectors Models Based on Position Information Fusion. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(11): 153:1-153:21 (2024)
[j118]
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Xiangping Cui, Zihao Zhang, Susan Zhang, Jun Shen, Wei Han, Hanqi Zhang:
Acceptance of Smart Teaching Tools and Its Influencing Factors Among University and College Teachers. IEEE Trans. Educ. 67(6): 954-963 (2024)
[j117]
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  - journals/tii/TelikaniRSSSGH24
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Akbar Telikani, Nima Esmi Rudbardeh, Shiva Soleymanpour, Asadollah Shahbahrami, Jun Shen, Georgi Gaydadjiev, Reza Hassanpour:
A Cost-Sensitive Machine Learning Model With Multitask Learning for Intrusion Detection in IoT. IEEE Trans. Ind. Informatics 20(3): 3880-3890 (2024)
[j116]
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Akbar Telikani, Arupa Sarkar, Bo Du, Jun Shen:
Machine Learning for UAV-Aided ITS: A Review With Comparative Study. IEEE Trans. Intell. Transp. Syst. 25(11): 15388-15406 (2024)
[j115]
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  - journals/tlt/FanYZS24
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Shujia Fan, Brian Yecies, Zeyang Ivy Zhou, Jun Shen:
Challenges and Opportunities for the Web 3.0 Metaverse Turn in Education. IEEE Trans. Learn. Technol. 17: 1989-2004 (2024)
[j114]
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Xiangping Cui, Chen Du, Jun Shen, Susan Zhang, Juan Xu:
Impact of Gamified Learning Experience on Online Learning Effectiveness. IEEE Trans. Learn. Technol. 17: 2130-2139 (2024)
[j113]
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  - journals/tlt/BaiLSZ24
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Yu Bai, Jun Li, Jun Shen, Liang Zhao:
Investigating the Efficacy of ChatGPT-3.5 for Tutoring in Chinese Elementary Education Settings. IEEE Trans. Learn. Technol. 17: 2156-2171 (2024)
[j112]
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  - journals/tmc/ManjangZSTZ24
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Ousman Manjang, Yanlong Zhai, Jun Shen, Jude Tchaye-Kondi, Liehuang Zhu:
Anchor Model-Based Hybrid Hierarchical Federated Learning With Overlap SGD. IEEE Trans. Mob. Comput. 23(12): 12540-12557 (2024)
[j111]
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  - journals/tmc/TchayeKondiZSTZ24
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Jude Tchaye-Kondi, Yanlong Zhai, Jun Shen, Akbar Telikani, Liehuang Zhu:
Adaptive Period Control for Communication Efficient and Fast Convergent Federated Learning. IEEE Trans. Mob. Comput. 23(12): 12572-12586 (2024)
[c175]
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  - conf/acis/Benmohamed0V24
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Nuria Benmohamed, Jun Shen, Elena Vlahu-Gjorgievska:
Factors Influencing the Public Value Creation from Open Government Data use in Australian public sector: A Qualitative Study. ACIS 2024
[c174]
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  - conf/adma/LiuZQSB24
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Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Jun Shen, Jiang Bian:
An Analyses of the Impact of Climatic and Environmental Conditions on COVID-19 Prevalence in Epidemic Areas in Australia, South Korea, and Italy. ADMA (4) 2024: 33-47
[c173]
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  - conf/adma/ZhaoGWMS24
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Qian Zhao, Anbang Guo, Yong Wang, Hao Meng, Jun Shen:
Enhancing Wind Speed and Direction Prediction with a Mean Squared Error Neural Network. ADMA (1) 2024: 120-130
[c172]
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  - conf/adma/GaoQMSWCL24
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Qin Gao, Linke Qin, Hao Meng, Jun Shen, Xiaosong Wang, Songsong Cui, Zhenrui Li:
Optimizing Recreation in Yellow River Mouth Park Based on Reference-Dependent Analysis. ADMA (1) 2024: 241-255
[c171]
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  - conf/cbd/HezavehiY0XY24
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Sasha Mahdavi Hezavehi, Jianming Yong, Jun Shen, Dongming Xu, Brian Yecies:
Toward Design Perspectives of AI Chatbots. CBD 2024: 284-289
[c170]
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  - conf/cloud/0050HW0N0ZZ24
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Xin Liu, Yuanyuan Huang, Tianyi Wang, Song Li, Weina Niu, Jun Shen, Qingguo Zhou, Xiaokang Zhou:
SQLStateGuard: Statement-Level SQL Injection Defense Based on Learning-Driven Middleware. SoCC 2024: 69-82
[c169]
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  - conf/cscwd/LiZHL0L24
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Wenqin Li, Xinrong Zheng, Ruihong Huang, Mingwei Lin, Jun Shen, Jiayin Lin:
Enhancing Privacy Protection for Online Learning Resource Recommendation with Machine Unlearning. CSCWD 2024: 3282-3287
[c168]
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  - conf/dasfaa/ZuLCS24
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Shuaishuai Zu, Li Li, Songtao Cai, Jun Shen:
CIKT: Causality Inspired Knowledge Tracing. DASFAA (4) 2024: 485-495
[c167]
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  - conf/ica2/MengZWSLX24
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Hao Meng, Qian Zhao, Xiaosong Wang, Jun Shen, Yunheng Luo, Fei Xie:
The Collaborative Intelligent Mathematics Tutoring Agent Platform. ICA 2024: 159-163
[c166]
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  - conf/icassp/ZuCTWLS24
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Shuaishuai Zu, Songtao Cai, Weitao Tang, Chuyu Wang, Li Li, Jun Shen:
GuessKT: Improving Knowledge Tracing via Considering Guess Behaviors. ICASSP 2024: 12811-12815
[c165]
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  - conf/ichi/LiuZQSJ0B24
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Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen, Jiang Bian:
Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk Prediction. ICHI 2024: 123-128
[c164]
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  - conf/icml/ZhuC0ZJX024
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Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen:
Iterative Search Attribution for Deep Neural Networks. ICML 2024
[c163]
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  - conf/isbi/LiSCDMPDS24
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Haoran Li, Jiahua Shi, Huaming Chen, Bo Du, Simon Maksour, Gabrielle Phillips, Mirella Dottori, Jun Shen:
FDNet: Frequency Domain Denoising Network For Cell Segmentation In Astrocytes Derived From Induced Pluripotent Stem Cells. ISBI 2024: 1-5
[c162]
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  - conf/nips/ZhaoBCJQLYLC0RX24
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Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu:
Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation. NeurIPS 2024
[c161]
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  - conf/pacis/Mian0V24
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Aris Suhada Mian, Jun Shen, Elena Vlahu-Gjorgievska:
A Bibliometric Analysis of Collaboration in Digital Transformation: The Use of IS Theories. PACIS 2024
[c160]
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  - conf/pacis/Virnandes0V24
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Sose Raeinaldo Virnandes, Jun Shen, Elena Vlahu-Gjorgievska:
Shaping Trust in Public Service: A Convergent Mixed-methods Investigation of Digital Government Transformation. PACIS 2024
[c159]
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  - conf/pkdd/ZhangLBJSLLS24
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Zhenhao Zhang, Yuxi Liu, Jiang Bian, Antonio Jimeno-Yepes, Jun Shen, Fuyi Li, Guodong Long, Flora D. Salim:
Boosting Patient Representation Learning via Graph Contrastive Learning. ECML/PKDD (9) 2024: 335-350
[c158]
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  - conf/sdm/ZhuCWZJC0Y24
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Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan:
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model. SDM 2024: 706-714
[c157]
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  - conf/vtc/SarkarSS0TY24
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Arupa Sarkar, Fendy Santoso, Jun Shen, Bo Du, Akbar Telikani, Jun Yan:
Evaluating Energy Consumption Prediction Models of a Quadcopter Unmanned Aerial Vehicle. VTC Fall 2024: 1-7
[c156]
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Arupa Sarkar, Fendy Santoso, Akbar Telikani, Jun Shen, Bo Du, Jun Yan:
Smart Verification of Unmanned Aerial Vehicle GPS Geolocation via Received Signal Strength Indicators. VTC Fall 2024: 1-6
[i21]
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  - journals/corr/abs-2401-06031
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Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan:
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model. CoRR abs/2401.06031 (2024)
[i20]
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  - journals/corr/abs-2402-02724
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Haoran Li, Jiahua Shi, Huaming Chen, Bo Du, Simon Maksour, Gabrielle Phillips, Mirella Dottori, Jun Shen:
FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells. CoRR abs/2402.02724 (2024)
[i19]
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  - journals/corr/abs-2404-11996
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Songtao Huang, Hongjin Song, Tianqi Jiang, Akbar Telikani, Jun Shen, Qingguo Zhou, Binbin Yong, Qiang Wu:
DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting. CoRR abs/2404.11996 (2024)
[i18]
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  - journals/corr/abs-2406-18610
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Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthelemy, Jun Shen, Min Xu:
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling. CoRR abs/2406.18610 (2024)
[i17]
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  - journals/corr/abs-2407-18005
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Bakheet Aljedaani, Aakash Ahmad, Mahdi Fahmideh, Arif Ali Khan, Jun Shen:
An Exploration Study on Developing Blockchain Systems the Practitioners Perspective. CoRR abs/2407.18005 (2024)
[i16]
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  - journals/corr/abs-2408-00210
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Qi Xiong, Xinman Zhang, Jun Shen:
A Prior Embedding-Driven Architecture for Long Distance Blind Iris Recognition. CoRR abs/2408.00210 (2024)
[i15]
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  - journals/corr/abs-2409-10911
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  - https://dblp.org/rec/journals/corr/abs-2409-10911
Jian Du, Haochong Li, Qi Liao, Jun Shen, Jianqin Zheng, Yongtu Liang:
A Knowledge-Inspired Hierarchical Physics-Informed Neural Network for Pipeline Hydraulic Transient Simulation. CoRR abs/2409.10911 (2024)
[i14]
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Ruiqiang Li, Brian Yecies, Qin Wang, Shiping Chen, Jun Shen:
Empowering Visual Artists with Tokenized Digital Assets with NFTs. CoRR abs/2409.11790 (2024)
2023
[j110]
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Pengju Shuai, Li Li, Sishun Liu, Jun Shen:
QDG: A unified model for automatic question-distractor pairs generation. Appl. Intell. 53(7): 8275-8285 (2023)
[j109]
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Susan Zhang, Jun Shen, Jun Yan:
Children's E-Learning Interactions and Perceived Outcomes with Educational Key Opinion Leaders in China. Commun. Assoc. Inf. Syst. 53: 20 (2023)
[j108]
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Mahdi Fahmideh, John C. Grundy, Aakash Ahmad, Jun Shen, Jun Yan, Davoud Mougouei, Peng Wang, Aditya Ghose, Anuradha Gunawardana, Uwe Aickelin, Babak Abedin:
Engineering Blockchain-based Software Systems: Foundations, Survey, and Future Directions. ACM Comput. Surv. 55(6): 110:1-110:44 (2023)
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Jaber Valizadeh, Shadi Boloukifar, Sepehr Soltani, Ehsan Jabalbarezi Hookerd, Farzaneh Fouladi, Anastasia Andreevna Rushchtc, Bo Du, Jun Shen:
Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic. Expert Syst. Appl. 214: 119009 (2023)
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Songtao Huang, Jun Shen, Qingquan Lv, Qingguo Zhou, Binbin Yong:
A Novel NODE Approach Combined with LSTM for Short-Term Electricity Load Forecasting. Future Internet 15(1): 22 (2023)
[j105]
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Zhiwei Ye, Ruihan Li, Wen Zhou, Mingwei Wang, Mengqing Mei, Zhe Shu, Jun Shen:
High-Dimensional Feature Selection Based on Improved Binary Ant Colony Optimization Combined with Hybrid Rice Optimization Algorithm. Int. J. Intell. Syst. 2023: 1-27 (2023)
[j104]
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Akbar Telikani, Asadollah Shahbahrami, Jun Shen, Georgi Gaydadjiev, Jerry Chun-Wei Lin:
An edge-aided parallel evolutionary privacy-preserving algorithm for Internet of Things. Internet Things 23: 100831 (2023)
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Wei Wei, Bochao An, Qiao Ke, Jun Shen:
A Blockchain-Based Multi-Users Oblivious Data Sharing Scheme for Digital Twin System in Industrial Internet of Things. IEEE J. Sel. Areas Commun. 41(10): 3318-3332 (2023)
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Qingliang Liu, Shuguo Yang, Jing Liu, Li Zhao, Pengcheng Xiong, Jun Shen:
An efficient video watermark method using blockchain. Knowl. Based Syst. 259: 110066 (2023)
[j101]
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Jiachen Shi, Guoqiang Zhou, Shudi Bao, Jun Shen:
MultiselfGAN: A Self-Guiding Neural Architecture Search Method for Generative Adversarial Networks With Multicontrollers. IEEE Trans. Cogn. Dev. Syst. 15(2): 544-554 (2023)
[j100]
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Wei Wei, Jun Shen, Akbar Telikani, Mahdi Fahmideh, Wei Gao:
Feasibility Analysis of Data Transmission in Partially Damaged IoT Networks of Vehicles. IEEE Trans. Intell. Transp. Syst. 24(4): 4577-4588 (2023)
[j99]
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Yafeng Zheng, Zhanghao Gao, Jun Shen, Xuesong Zhai:
Optimizing Automatic Text Classification Approach in Adaptive Online Collaborative Discussion-A Perspective of Attention Mechanism-Based Bi-LSTM. IEEE Trans. Learn. Technol. 16(5): 591-602 (2023)
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Xuesong Zhai, Xiaoyan Chu, Min Chen, Jun Shen, Feng-Lang Lou:
Can Edu-Metaverse Reshape Virtual Teaching Community (VTC) to Promote Educational Equity? An Exploratory Study. IEEE Trans. Learn. Technol. 16(6): 1130-1140 (2023)
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Jude Tchaye-Kondi, Yanlong Zhai, Jun Shen, Liehuang Zhu:
Privacy-Preserving Offloading in Edge Intelligence Systems With Inductive Learning and Local Differential Privacy. IEEE Trans. Netw. Serv. Manag. 20(4): 5026-5037 (2023)
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Dong Lu, Yanlong Zhai, Jun Shen, Mahdi Fahmideh, Jianqing Wu, Jude Tchaye-Kondi, Liehuang Zhu:
TreeNet Based Fast Task Decomposition for Resource-Constrained Edge Intelligence. IEEE Trans. Serv. Comput. 16(3): 2254-2266 (2023)
[j95]
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Guoqiang Zhou, Zhangxian Xu, Jiayin Lin, Shudi Bao, Liliang Zhou, Jun Shen:
Object-aware Policy Network in Deep Recommender Systems. J. Signal Process. Syst. 95(2-3): 271-280 (2023)
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Yanli Li, Chongbin Ye, Huaming Chen, Shiping Chen, Minhui Xue, Jun Shen:
Towards Better ML-Based Software Services: An Investigation of Source Code Engineering Impact. SSE 2023: 1-10
[c154]
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Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen:
DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution. ADMA (2) 2023: 456-470
[c153]
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Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo:
Improving Adversarial Transferability via Frequency-based Stationary Point Search. CIKM 2023: 3626-3635
[c152]
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Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo:
FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. CIKM 2023: 3657-3666
[c151]
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Qingguo Zhou, Xiaorun Tang, Qingquan Lv, Ziyuan Li, Jun Shen, Jinqiang Wang, Binbin Yong:
Ensemble Machine Learning Method for Photovoltaic Power Forecasting. CSCWD 2023: 332-337
[c150]
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  - conf/cscwd/AlZahrani0023
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Yazeed AlZahrani, Jun Shen, Jun Yan:
Energy-Efficient Data Consistency based Sampling Rate Optimization and Aggregation Method for IoT. CSCWD 2023: 1348-1353
[c149]
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Xiaochen Zhang, Jun Shen, Jun Yan:
Adult Learners' Online Engagement and Perceived Outcomes with Educational Key Opinion Leaders: a Two-Phase Study. CSCWD 2023: 1873-1877
[c148]
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Susan Zhang, Jun Shen, Jun Yan:
Novel E-Learning Experience and Perceptions with Impacts from Educational Key Opinion Leaders. FIE 2023: 1-6
[c147]
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Hanyue Zhang, Li Li, Jun Shen:
A Document-Level Relation Extraction Framework with Dynamic Pruning. ICANN (8) 2023: 13-25
[c146]
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Shuaishuai Zu, Chuyu Wang, Yafei Liu, Jun Shen, Li Li:
Contrastive Learning Augmented Graph Auto-Encoder. ICONIP (11) 2023: 280-291
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Hanyue Zhang, Li Li, Jun Shen:
PGLR: Pseudo Graph and Label Reuse for Entity Relation Extraction. IJCNN 2023: 1-8
[c144]
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Shuaishuai Zu, Li Li, Jun Shen:
CAKT: Coupling contrastive learning with attention networks for interpretable knowledge tracing. IJCNN 2023: 1-8
[c143]
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Cheng Zhang, Bo Du, Jun Shen:
Movement Patterns of Pedestrians and Cyclists at Signalized Segregated Crosswalks: A Case Study in Nanjing, China. ITSC 2023: 650-655
[c142]
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Qiang Wu, Mingyuan Li, Jun Shen, Linyuan Lü, Bo Du, Ke Zhang:
TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer. KDD 2023: 2639-2647
[c141]
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Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen:
Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning. ECML/PKDD (1) 2023: 147-163
[c140]
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  - conf/tale/GarshasbiGASH23
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Soheila Garshasbi, Sabine Graf, Mahmood Asgari, Jun Shen, Sarah K. Howard:
An Optimal Grouping and Regrouping Method for Effective Collaborative Learning: Leveraging the Group Dynamics. TALE 2023: 1-7
[c139]
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  - conf/web/Mian0V23
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Aris Suhada Mian, Jun Shen, Elena Vlahu-Gjorgievska:
The Determinants of Digital Government Transformation Through Collaborative Governance. WEB 2023: 15-24
[i13]
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Changyan Di, Qingguo Zhou, Jun Shen, Jinqiang Wang, Rui Zhou, Tianyi Wang:
The coupling effect between the environment and strategies drives the emergence of group cooperation. CoRR abs/2308.02888 (2023)
[i12]
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  - journals/corr/abs-2308-12575
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Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes, Jun Shen:
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction. CoRR abs/2308.12575 (2023)
[i11]
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  - journals/corr/abs-2310-10427
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Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen:
DANAA: Towards transferable attacks with double adversarial neuron attribution. CoRR abs/2310.10427 (2023)
[i10]
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  - journals/corr/abs-2312-16726
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Jessica Liu, Huaming Chen, Jun Shen, Kim-Kwang Raymond Choo:
FairCompass: Operationalising Fairness in Machine Learning. CoRR abs/2312.16726 (2023)
2022
[j94]
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Binbin Yong, Wei Wei, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Marcin Wozniak, Dawid Polap, Robertas Damasevicius:
Ensemble machine learning approaches for webshell detection in Internet of things environments. Trans. Emerg. Telecommun. Technol. 33(6) (2022)
[j93]
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Jiayin Lin, Geng Sun, Jun Shen, David E. Pritchard, Ping Yu, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun:
From computer vision to short text understanding: Applying similar approaches into different disciplines. Intell. Converged Networks 3(2): 161-172 (2022)
[j92]
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Ming Ma, Xiaorun Tang, Qingquan Lv, Jun Shen, Baixue Zhu, Jinqiang Wang, Binbin Yong:
Multi-features fusion for short-term photovoltaic power prediction. Intell. Converged Networks 3(4): 311-324 (2022)
[j91]
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Qi Xiong, Xinman Zhang, Shaobo He, Jun Shen:
Data Augmentation for Small Sample Iris Image Based on a Modified Sparrow Search Algorithm. Int. J. Comput. Intell. Syst. 15(1): 110 (2022)
[j90]
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Yuwen Liu, Zuolong Song, Xiaolong Xu, Wajid Rafique, Xuyun Zhang, Jun Shen, Mohammad Reza Khosravi, Lianyong Qi:
Bidirectional GRU networks-based next POI category prediction for healthcare. Int. J. Intell. Syst. 37(7): 4020-4040 (2022)
[j89]
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Akbar Telikani, Jun Shen, Jie Yang, Peng Wang:
Industrial IoT Intrusion Detection via Evolutionary Cost-Sensitive Learning and Fog Computing. IEEE Internet Things J. 9(22): 23260-23271 (2022)
[j88]
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Jude Tchaye-Kondi, Yanlong Zhai, Jun Shen, Dong Lu, Liehuang Zhu:
SmartFilter: An Edge System for Real-Time Application-Guided Video Frames Filtering. IEEE Internet Things J. 9(23): 23772-23785 (2022)
[j87]
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Zhihan Lv, Jaime Lloret Mauri, Houbing Song, Jun Shen, Wojciech Mazurczyk:
Guest Editorial: Secure Communications Over the Internet of Artificially Intelligent Things. IEEE Internet Things Mag. 5(1): 58-60 (2022)
[j86]
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Zhihan Lv, Jaime Lloret, Houbing Song, Jun Shen, Wojciech Mazurczyk:
Guest Editorial: Secure Communications Over the Internet of Artificially Intelligent Things: Part 2. IEEE Internet Things Mag. 5(2): 46-49 (2022)
[j85]
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  - journals/jcloudc/AsmawiIS22
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Tengku Nazmi Tengku Asmawi, Azlan B. Ismail, Jun Shen:
Cloud failure prediction based on traditional machine learning and deep learning. J. Cloud Comput. 11: 47 (2022)
[j84]
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Qiang Wu, Jianqing Wu, Jun Shen, Bo Du, Akbar Telikani, Mahdi Fahmideh, Chao Liang:
Distributed agent-based deep reinforcement learning for large scale traffic signal control. Knowl. Based Syst. 241: 108304 (2022)
[j83]
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Bi Wang, Jianqing Wu, Xuelian Li, Jun Shen, Yangjun Zhong:
Uncertainty quantification for operators in online reinforcement learning. Knowl. Based Syst. 258: 109998 (2022)
[j82]
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  - journals/sensors/XiongZWQS22
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Qi Xiong, Xinman Zhang, Xingzhu Wang, Naosheng Qiao, Jun Shen:
Robust Iris-Localization Algorithm in Non-Cooperative Environments Based on the Improved YOLO v4 Model. Sensors 22(24): 9913 (2022)
[j81]
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Jiachen Shi, Yi Fan, Guoqiang Zhou, Jun Shen:
Distributed GAN: Toward a Faster Reinforcement-Learning-Based Architecture Search. IEEE Trans. Artif. Intell. 3(3): 391-401 (2022)
[j80]
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Yi Fan, Xiulian Tang, Guoqiang Zhou, Jun Shen:
EfficientAutoGAN: Predicting the Rewards in Reinforcement-Based Neural Architecture Search for Generative Adversarial Networks. IEEE Trans. Cogn. Dev. Syst. 14(1): 234-245 (2022)
[j79]
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Geng Sun, Wei Wei, Tingru Cui, Dongming Xu, Shiping Chen, Alex Shvonski, Li Li, Jun Shen, Soheila Garshasbi:
Adapting New Learners and New Resources to Micro Open Learning via Online Computation. IEEE Trans. Comput. Soc. Syst. 9(6): 1807-1819 (2022)
[j78]
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Jianqing Wu, Yihui Wang, Bo Du, Qiang Wu, Yanlong Zhai, Jun Shen, Luping Zhou, Chen Cai, Wei Wei, Qingguo Zhou:
The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays. IEEE Trans. Intell. Transp. Syst. 23(3): 2445-2456 (2022)
[j77]
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Bo Du, Cheng Zhang, Jun Shen, Zuduo Zheng:
A Dynamic Sensitivity Model for Unidirectional Pedestrian Flow With Overtaking Behaviour and Its Application on Social Distancing's Impact During COVID-19. IEEE Trans. Intell. Transp. Syst. 23(8): 10404-10417 (2022)
[j76]
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Fang Liu, Liang Zhao, Jiayi Zhao, Qin Dai, Chunlong Fan, Jun Shen:
Educational Process Mining for Discovering Students' Problem-Solving Ability in Computer Programming Education. IEEE Trans. Learn. Technol. 15(6): 709-719 (2022)
[j75]
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Akbar Telikani, Amir H. Gandomi, Kim-Kwang Raymond Choo, Jun Shen:
A Cost-Sensitive Deep Learning-Based Approach for Network Traffic Classification. IEEE Trans. Netw. Serv. Manag. 19(1): 661-670 (2022)
[j74]
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Xiaoyu Xia, Feifei Chen, Qiang He, John C. Grundy, Mohamed Almorsy Abdelrazek, Jun Shen, Athman Bouguettaya, Hai Jin:
Formulating Cost-Effective Data Distribution Strategies Online for Edge Cache Systems. IEEE Trans. Parallel Distributed Syst. 33(10): 4270-4281 (2022)
[j73]
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Zhihan Lv, Gustavo Marfia, Fabio Poiesi, Neil Vaughan, Jun Shen:
Virtual-reality and intelligent hardware in digital twins. Virtual Real. Intell. Hardw. 4(4): ii-iv (2022)
[j72]
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Zhihan Lv, Gustavo Marfia, Fabio Poiesi, Neil Vaughan, Jun Shen:
Virtual-reality and intelligent hardware in Digital Twins. Virtual Real. Intell. Hardw. 4(6): ii-iii (2022)
[c138]
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Qingguo Zhou, Ming Lei, Peng Zhi, Rui Zhao, Jun Shen, Binbin Yong:
Towards Improving the Anti-attack Capability of the RangeNet++. ACCV (Workshops) 2022: 60-70
[c137]
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Nuria Benmohamed, Jun Shen, Tingru Cui:
Enablers and Inhibitors of Public Value Creation Through the Use of Open Government Data in Australian Public Sector. ACIS 2022: 9
[c136]
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Sose Raeinaldo Virnandes, Jun Shen, Elena Vlahu-Gjorgievska:
Generating Public Trust through Digital Government Transformation. ACIS 2022: 32
[c135]
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  - conf/cbd/AlZahraniSY22
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Yazeed AlZahrani, Jun Shen, Jun Yan:
Multi-Layer Efficient Data Classification Methods for Enterprise Business Applications. CBD 2022: 30-35
[c134]
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Hui Lv, Fenfang Li, Yatao Liang, La Duo, Jun Shen, Yan Li, Qingguo Zhou:
Text classification based on machine learning for Tibetan social network. CBD 2022: 145-150
[c133]
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Yazeed AlZahrani, Jun Shen, Jun Yan:
Spatial Goal Refinement Patterns for IoT Applications. EDGE 2022: 50-59
[c132]
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  - conf/edge/TelikaniSWY22
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Akbar Telikani, Jun Shen, Peng Wang, Jie Yang:
A privacy-aware data sharing framework for Internet of Things through edge computing platform. EDGE 2022: 114-122
[c131]
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Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu:
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control. ICML 2022: 26645-26654
[c130]
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Huan Wang, Lijuan Wang, Jun Shen:
Distributional Knowledge Transfer for Heterogeneous Federated Learning. ISPA/BDCloud/SocialCom/SustainCom 2022: 747-754
[c129]
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Huan Wang, Lijuan Wang, Jun Shen:
Logit Calibration for Non-IID and Long-Tailed Data in Federated Learning. ISPA/BDCloud/SocialCom/SustainCom 2022: 782-789
[c128]
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Cheng Zhang, Bo Du, Jun Shen, Xuecai Xu:
Empirical Investigation on Conflicts between Bus Passengers and Cyclists at Different Types of Bus Stops. ITSC 2022: 1850-1855
[i9]
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  - journals/corr/abs-2202-07875
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Mahdi Fahmideh, Jun Yan, Jun Shen, Aakash Ahmad, Davoud Mougouei, Anup Shrestha:
Knowledge Management for Cloud Computing Field. CoRR abs/2202.07875 (2022)
[i8]
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  - journals/corr/abs-2211-01025
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Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Akbar Telikani, Jianqing Wu, Shubin Xie:
DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL. CoRR abs/2211.01025 (2022)
2021
[j71]
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Huaming Chen, Fuyi Li, Lei Wang, Yaochu Jin, Chi-Hung Chi, Lukasz A. Kurgan, Jiangning Song, Jun Shen:
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions. Briefings Bioinform. 22(3) (2021)
[j70]
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Yi Fan, Guoqiang Zhou, Weifeng Zhang, Shudi Bao, Jun Shen:
Determining learning direction via multi-controller model for stably searching generative adversarial networks. Neurocomputing 464: 37-47 (2021)
[j69]
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Fei Xie, Jun Yan, Jun Shen:
A Novel PageRank-Based Fault Handling Strategy for Workflow Scheduling in Cloud Data Centers. Int. J. Web Serv. Res. 18(4): 1-26 (2021)
[j68]
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Tian Gao, Shanliang Zhu, Jing Liu, Jun Shen, Jialie Shen, Shuguo Yang, Pengcheng Xiong:
A new context-aware approach for automatic Chinese poetry generation. Knowl. Based Syst. 232: 107409 (2021)
[j67]
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Binbin Yong, Chen Wang, Jun Shen, Fucun Li, Hang Yin, Rui Zhou:
Automatic ventricular nuclear magnetic resonance image processing with deep learning. Multim. Tools Appl. 80(26): 34103-34119 (2021)
[j66]
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Yi Fan, Guoqiang Zhou, Jun Shen, Guilan Dai:
Toward gradient bandit-based selection of candidate architectures in AutoGAN. Soft Comput. 25(6): 4367-4378 (2021)
[j65]
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Yanlong Zhai, Wenxin Sun, Jianqing Wu, Liehuang Zhu, Jun Shen, Xiaojiang Du, Mohsen Guizani:
An Energy Aware Offloading Scheme for Interdependent Applications in Software-Defined IoV With Fog Computing Architecture. IEEE Trans. Intell. Transp. Syst. 22(6): 3813-3823 (2021)
[c127]
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Susan Zhang, Jun Shen, Jun Yan:
How Learning Evolved from Offline Classroom to Online Platforms with its Amplifier, Edu-KOLs: A Systematic Literature Review. ACIS 2021: 6
[c126]
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Abdulaziz Alghazi, Jun Shen, Samuel Fosso Wamba, Tingru Cui, Mengxiang Li:
A Strategic Alignment Perspective of Public-Sector Organisations in Saudi Arabia in the Digital Transformation Age (Quantitative Study). ACIS 2021: 82
[c125]
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Dong Lu, Yanlong Zhai, Jianqing Wu, Jun Shen:
TreeNet: A Hierarchical Deep Learning Model to Facilitate Edge Intelligence for Resource-Constrained Devices. CCGRID 2021: 525-534
[c124]
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Qingquan Lv, Ming Ma, XueTao Jiang, Meiyu Jiang, Binbin Yong, Jun Shen, Qingguo Zhou:
Photovoltaic Power Forecasting in Dunhuang based on Recurrent Neural Network. HPCC/DSS/SmartCity/DependSys 2021: 1346-1352
[c123]
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Wei Wei, Qiang Wu, Jianqing Wu, Bo Du, Jun Shen, Tinghong Li:
Multi-agent deep reinforcement learning for traffic signal control with Nash Equilibrium. HPCC/DSS/SmartCity/DependSys 2021: 1435-1442
[c122]
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Mahdi Fahmideh, Anuradha Gunawardana, Shiping Chen, Jun Shen, Brian Yecies:
Blockchain Developments and Innovations - An Analytical Evaluation of Software Engineering Approaches. ICIOT 2021: 58-76
[c121]
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Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Ping Yu, Tingru Cui, Li Li, Ghassan Beydoun:
MOOC Student Dropout Rate Prediction via Separating and Conquering Micro and Macro Information. ICONIP (6) 2021: 459-467
[c120]
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  - conf/tale/MukherjeeLTTS21
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Madhav Mukherjee, Ngoc-Thuy Le, William John Tibben, Pairat Thorncharoensri, Jun Shen:
A Novel Instructional Design Based on Cognitive Apprenticeship Model to Enhance Teaching Network Management. TALE 2021: 479-486
[i7]
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  - journals/corr/abs-2105-01877
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Mahdi Fahmideh, Jun Yan, Jun Shen, Davoud Mougouei, Yanlong Zhai, Aakash Ahmad:
A Comprehensive Framework for Analyzing IoT Platforms: A Smart City Industrial Experience. CoRR abs/2105.01877 (2021)
[i6]
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Mahdi Fahmideh, John Grundy, Aakash Ahmed, Jun Shen, Jun Yan, Davoud Mougouei, Peng Wang, Aditya Ghose, Anuradha Gunawardana, Uwe Aickelin, Babak Abedin:
Software Engineering for Blockchain Based Software Systems: Foundations, Survey, and Future Directions. CoRR abs/2105.01881 (2021)
[i5]
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Qiang Wu, Liang Zhang, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu:
Efficient Pressure: Improving efficiency for signalized intersections. CoRR abs/2112.02336 (2021)
[i4]
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  - journals/corr/abs-2112-07179
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Mahdi Fahmideh, Anuradha Gunawardana, Shiping Chen, Jun Shen, Brian Yecies:
Blockchain Developments and Innovations. CoRR abs/2112.07179 (2021)
[i3]
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  - journals/corr/abs-2112-10107
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Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Jianqing Wu, Bo Du:
Expression is enough: Improving traffic signal control with advanced traffic state representation. CoRR abs/2112.10107 (2021)
2020
[b1]
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Geng Sun, Jun Shen, Jiayin Lin:
Adaptive Micro Learning - Using Fragmented Time to Learn. Intelligent Information Systems 5, WorldScientific 2020, ISBN 9789811207457, pp. 1-152
[j64]
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Qingguo Zhou, Binbin Yong, Qingquan Lv, Jun Shen, Xin Wang:
Deep Autoencoder for Mass Spectrometry Feature Learning and Cancer Detection. IEEE Access 8: 45156-45166 (2020)
[j63]
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Muhammad Mudassar, Yanlong Zhai, Lejian Liao, Jun Shen:
A Decentralized Latency-Aware Task Allocation and Group Formation Approach With Fault Tolerance for IoT Applications. IEEE Access 8: 49212-49223 (2020)
[j62]
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Fang Feng, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Xuhui Yang:
Using Cost-Sensitive Learning and Feature Selection Algorithms to Improve the Performance of Imbalanced Classification. IEEE Access 8: 69979-69996 (2020)
[j61]
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Geng Sun, Jiayin Lin, Jun Shen, Tingru Cui, Dongming Xu, Mahesh Kayastha:
Refinement and augmentation for data in micro open learning activities with an evolutionary rule generator. Br. J. Educ. Technol. 51(5): 1843-1863 (2020)
[j60]
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Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi:
APEX2S: A two-layer machine learning model for discovery of host-pathogen protein-protein interactions on cloud-based multiomics data. Concurr. Comput. Pract. Exp. 32(23) (2020)
[j59]
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  - journals/eait/MiahMS20
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Shah Jahan Miah, Muhammed Miah, Jun Shen:
Editorial note: Learning management systems and big data technologies for higher education. Educ. Inf. Technol. 25(2): 725-730 (2020)
[j58]
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Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou:
A novel Monte Carlo-based neural network model for electricity load forecasting. Int. J. Embed. Syst. 12(4): 522-533 (2020)
[j57]
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Binbin Yong, Jun Shen, Xin Liu, Fucun Li, Huaming Chen, Qingguo Zhou:
An intelligent blockchain-based system for safe vaccine supply and supervision. Int. J. Inf. Manag. 52: 102024 (2020)
[j56]
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Huaming Chen, Jun Shen, Lei Wang, Jiangning Song:
A framework towards data analytics on host-pathogen protein-protein interactions. J. Ambient Intell. Humaniz. Comput. 11(11): 4667-4679 (2020)
[j55]
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Salim Zahir Alismaili, Mengxiang Li, Jun Shen, Pu Huang, Qiang He, Wu Zhan:
Organisational-Level Assessment of Cloud Computing Adoption: Evidence from the Australian SMEs. J. Glob. Inf. Manag. 28(2): 73-89 (2020)
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Jianqing Wu, Qiang Wu, Jun Shen, Chen Cai:
Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys. Sensors 20(12): 3354 (2020)
[j53]
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Qiang Wu, Jianqing Wu, Jun Shen, Binbin Yong, Qingguo Zhou:
An Edge Based Multi-Agent Auto Communication Method for Traffic Light Control. Sensors 20(15): 4291 (2020)
[j52]
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Binbin Yong, Liang Huang, Fucun Li, Jun Shen, Xin Wang, Qingguo Zhou:
A research of Monte Carlo optimized neural network for electricity load forecast. J. Supercomput. 76(8): 6330-6343 (2020)
[j51]
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Dian Shen, Junzhou Luo, Fang Dong, Jiahui Jin, Junxue Zhang, Jun Shen:
Facilitating Application-Aware Bandwidth Allocation in the Cloud with One-Step-Ahead Traffic Information. IEEE Trans. Serv. Comput. 13(2): 381-394 (2020)
[j50]
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Fang Dong, Junzhou Luo, Jiahui Jin, Jiyuan Shi, Ye Yang, Jun Shen:
Accelerating Skycube Computation with Partial and Parallel Processing for Service Selection. IEEE Trans. Serv. Comput. 13(6): 969-984 (2020)
[j49]
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Jiayin Lin, Geng Sun, Tingru Cui, Jun Shen, Dongming Xu, Ghassan Beydoun, Ping Yu, David Pritchard, Li Li, Shiping Chen:
From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning. World Wide Web 23(3): 1747-1767 (2020)
[c119]
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Huaming Chen, Fucun Li, Geng Sun, Xuyun Zhang, Xianjun Dong, Lei Wang, Kewen Liao, Haifeng Shen, Jun Shen:
A Service Computing Framework for Proteomics Analysis and Collaboration of Pathogenic Mechanism Studies. SCC 2020: 463-465
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  - conf/acsw/Xie0020
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Fei Xie, Jun Yan, Jun Shen:
A Bandwidth and Latency Based Replica Selection Mechanism for Data-Intensive Workflow Applications in the Multi-Cloud Environment. ACSW 2020: 13:1-13:8
[c117]
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Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun, Shiping Chen:
Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service. AIED (2) 2020: 168-173
[c116]
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Fucun Li, Ailing Yang, Huaming Chen, Geng Sun, Fang Wang, Yunzhou Xie, Jiaqi Li, Jun Shen:
Towards Industrial Internet of Things in Steel Manufacturing: A Multiple-Factor-based Detection System of Longitudinal Surface Cracks. IEEE BigData 2020: 4627-4635
[c115]
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Fei Xie, Jun Yan, Jun Shen:
A Utility-Based Fault Handling Approach for Efficient Job Rescue in Clouds. CLOUD 2020: 49-63
[c114]
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Huaming Chen, Yaochu Jin, Lei Wang, Chi-Hung Chi, Jun Shen:
HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction. IJCNN 2020: 1-8
[c113]
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Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun:
Deep Sequence Labelling Model for Information Extraction in Micro Learning Service. IJCNN 2020: 1-10
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Geng Sun, Jiayin Lin, Jun Shen, Tingru Cui, Dongming Xu, Huaming Chen:
Evolutionary Learner Profile Optimization Using Rare and Negative Association Rules for Micro Open Learning. ITS 2020: 432-440
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Kexin Huang, Ye Du, Li Li, Jun Shen, Geng Sun:
Pairwise-Based Hierarchical Gating Networks for Sequential Recommendation. KSEM (2) 2020: 64-75
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Nan Zhang, Ye Du, Ke Deng, Li Li, Jun Shen, Geng Sun:
Attention-Based Knowledge Tracing with Heterogeneous Information Network Embedding. KSEM (1) 2020: 95-103
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  - conf/pacbb/Chen00J20
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Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin:
Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions. PACBB 2020: 91-101
[c108]
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Aziz Ghazi, Tingru Cui, Jun Shen, Samuel Fosso Wamba, Mengxiang Li:
A Qualitative Study of the Strategic Alignment Perspective of Public-Sector Organisations in Saudi Arabia in the Digital Age. PACIS 2020: 93
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Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, David Pritchard, Dongming Xu, Li Li, Wei Wei, Ghassan Beydoun, Shiping Chen:
Attention-Based High-Order Feature Interactions to Enhance the Recommender System for Web-Based Knowledge-Sharing Service. WISE (1) 2020: 461-473
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Hiroyuki Mitsuhara, Yoshiko Goda, Yutato Ohashi, Ma. Mercedes T. Rodrigo, Jun Shen, Neelakantam Venkatarayalu, Gary Wong, Masanori Yamada, Chi-Un Lei:
IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020, Takamatsu, Japan, December 8-11, 2020. IEEE 2020, ISBN 978-1-7281-6942-2 [contents]
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  - journals/corr/abs-2010-14708
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Binbin Yong, XueTao Jiang, Jun Shen, Qingguo Zhou:
A methodology of weed-crop classification based on autonomous models choosing and ensemble. CoRR abs/2010.14708 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[j48]
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Shah Jahan Miah, Jun Shen, John W. Lamp, Don V. Kerr, John G. Gammack:
Emerging Insights of Health Informatics Research: A Literature Analysis for Outlining New Themes. Australas. J. Inf. Syst. 23 (2019)
[j47]
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Soheila Garshasbi, Yousef Mohammadi, Sabine Graf, Samira Garshasbi, Jun Shen:
Optimal learning group formation: A multi-objective heuristic search strategy for enhancing inter-group homogeneity and intra-group heterogeneity. Expert Syst. Appl. 118: 506-521 (2019)
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Qiang Wu, Jun Shen, Binbin Yong, Jianqing Wu, Fucun Li, Jinqiang Wang, Qingguo Zhou:
Smart fog based workflow for traffic control networks. Future Gener. Comput. Syst. 97: 825-835 (2019)
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Tien-Hsiung Weng, Teng-Xian Wang, Meng-Yen Hsieh, Hai Jiang, Jun Shen, Kuan-Ching Li:
Parallel fast Fourier transform in SPMD style of Cilk. Int. J. Embed. Syst. 11(6): 778-787 (2019)
[j44]
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Binbin Yong, Fucun Li, Qingquan Lv, Jun Shen, Qingguo Zhou:
Derivative-based acceleration of general vector machine. Soft Comput. 23(3): 987-995 (2019)
[c106]
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Binbin Yong, Zebang Shen, Yongqiang Wei, Jun Shen, Qingguo Zhou:
Short-Term Electricity Demand Forecasting Based on Multiple LSTMs. BICS 2019: 192-200
[c105]
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Hongyu Sun, Qiang He, Kewen Liao, Timos Sellis, Longkun Guo, Xuyun Zhang, Jun Shen, Feifei Chen:
Fast Anomaly Detection in Multiple Multi-Dimensional Data Streams. IEEE BigData 2019: 1218-1223
[c104]
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Huaming Chen, Lei Wang, Yaochu Jin, Chi-Hung Chi, Fucun Li, Huaiyuan Chu, Jun Shen:
Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions. IEEE BigData 2019: 2197-2204
[c103]
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Huaming Chen, Lei Wang, Chi-Hung Chi, Jun Shen:
Leveraging SMOTE in a Two-Layer Model for Prediction of Protein-Protein Interactions. CBD 2019: 133-138
[c102]
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Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, Ping Yu, Dongming Xu, Li Li:
A Survey of Segmentation, Annotation, and Recommendation Techniques in Micro Learning for Next Generation of OER. CSCWD 2019: 152-157
[c101]
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Wenxin Sun, Yanlong Zhai, Tianhong Bao, Muhammad Mudassar, Jun Shen, Kai Yang:
A Microservices Oriented Edge Computing Framework for LVC Simulation in the IoT Era. ICCMS 2019: 190-195
[c100]
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Wei Cui, Zhen Xue, Jun Shen, Geng Sun, Jianxin Li:
The Item Response Theory Model for an AI-based Adaptive Learning System. ITHET 2019: 1-6
[c99]
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Jianqing Wu, Luping Zhou, Chen Cai, Fang Dong, Jun Shen, Geng Sun:
Towards a General Prediction System for the Primary Delay in Urban Railways. ITSC 2019: 3482-3487
[c98]
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Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, Ping Yu, Dongming Xu, Li Li, Ghassan Beydoun:
Towards the Readiness of Learning Analytics Data for Micro Learning. SCC 2019: 66-76
[c97]
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Binbin Yong, Fei Qiao, Chen Wang, Jun Shen, Yongqiang Wei, Qingguo Zhou:
Ensemble Neural Network Method for Wind Speed Forecasting. SiPS 2019: 31-36
2018
[j43]
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  - journals/access/ChenGSWS18
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Huaming Chen, William W. Guo, Jun Shen, Lei Wang, Jiangning Song:
Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey. IEEE Access 6: 11760-11771 (2018)
[j42]
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Qingguo Zhou, Hongyu Sun, Rui Zhou, Geng Sun, Jun Shen, Kuan-Ching Li:
A collaborative and open solution for large-scale online learning. Comput. Appl. Eng. Educ. 26(6): 2266-2281 (2018)
[j41]
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  - journals/concurrency/DongSH18
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Fang Dong, Jun Shen, Qiang He:
Advances in cloud computing and big data analytics. Concurr. Comput. Pract. Exp. 30(20) (2018)
[j40]
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Lijuan Wang, Jun Shen:
Data-Intensive Service Provision Based on Particle Swarm Optimization. Int. J. Comput. Intell. Syst. 11(1): 330-339 (2018)
[j39]
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Jun Shen, Chih-Cheng Hung, Ghassan Beydoun, Yan Li, William W. Guo:
Data-Centric Intelligent Computing: Preface. Int. J. Comput. Intell. Syst. 11(1): 616-617 (2018)
[j38]
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Binbin Yong, Jun Shen, Zebang Shen, Huaming Chen, Xin Wang, Qingguo Zhou:
GVM based intuitive simulation web application for collision detection. Neurocomputing 279: 63-73 (2018)
[j37]
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Jiyuan Shi, Junzhou Luo, Fang Dong, Jiahui Jin, Jun Shen:
Fast multi-resource allocation with patterns in large scale cloud data center. J. Comput. Sci. 26: 389-401 (2018)
[j36]
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Qingguo Zhou, Chong Chen, Gaofeng Zhang, Huaming Chen, Dan Chen, Yingnan Yan, Jun Shen, Rui Zhou:
Real-Time Management of Groundwater Resources Based on Wireless Sensors Networks. J. Sens. Actuator Networks 7(1): 4 (2018)
[j35]
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Ruimin Li, Geoffrey Rose, Huaming Chen, Jun Shen:
Effective long-term travel time prediction with fuzzy rules for tollway. Neural Comput. Appl. 30(9): 2921-2933 (2018)
[j34]
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Geng Sun, Tingru Cui, Jianming Yong, Jun Shen, Shiping Chen:
MLaaS: A Cloud-Based System for Delivering Adaptive Micro Learning in Mobile MOOC Learning. IEEE Trans. Serv. Comput. 11(2): 292-305 (2018)
[c96]
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Geng Sun, Tingru Cui, Fang Dong, Dongming Xu, Jun Shen, Shiping Chen, Jiayin Lin:
(WIP) Evaluation of a Cloud-Based System for Delivering Adaptive Micro Open Education Resource to Fresh Learners. IEEE CLOUD 2018: 586-589
[c95]
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Xiaohui Zhao, Sira Yongchareon, Namwook Cho, Jun Shen, Saif Dewan:
Enabling Intelligent Business Processes with Context Awareness. SCC 2018: 153-160
[c94]
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  - conf/acis/AlghaziCWL018
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Abdulaziz Alghazi, Tingru Cui, Samuel Fosso Wamba, Mengxiang Li, Jun Shen:
Assessing the Determinants of Business Value Related to IT Projects: A Strategic Alignment Perspective of Public-Sector Organisations in Saudi Arabia. ACIS 2018: 11
[c93]
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Fucun Li, Jianqing Wu, Fang Dong, Jiayin Lin, Geng Sun, Huaming Chen, Jun Shen:
Ensemble Machine Learning Systems for the Estimation of Steel Quality Control. IEEE BigData 2018: 2245-2252
[c92]
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Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi:
Towards Biological Sequence Data Service with Insights. IEEE BigData 2018: 2847-2854
[c91]
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  - conf/cscwd/MahalleYT018
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Abhishek Mahalle, Jianming Yong, Xiaohui Tao, Jun Shen:
Data Privacy and System Security for Banking and Financial Services Industry based on Cloud Computing Infrastructure. CSCWD 2018: 407-413
[c90]
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  - conf/cscwd/WuZCSLY18
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Jianqing Wu, Luping Zhou, Chen Cai, Jun Shen, Sim Kim Lau, Jianming Yong:
Data Fusion for MaaS: Opportunities and Challenges. CSCWD 2018: 642-647
[c89]
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Fei Xie, Jun Yan, Jun Shen:
A Data Dependency and Access Threshold Based Replication Strategy for Multi-cloud Workflow Applications. ICSOC Workshops 2018: 281-293
[c88]
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Abdulaziz Alghazi, Mengxiang Li, Tingru Cui, Samuel Fosso Wamba, Jun Shen:
Misalignment between Business and IT Strategic Objectives in Saudi Arabia Public Sector Organisations. IoTBDS 2018: 212-220
[c87]
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Geng Sun, Tingru Cui, Dongming Xu, Jun Shen, Shiping Chen:
A Heuristic Approach for New-Item Cold Start Problem in Recommendation of Micro Open Education Resources. ITS 2018: 212-222
[c86]
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Tim M. Jackson, Sasha Nikolic, Jun Shen, Glen Xia:
Knowledge Sharing in Digital Learning Communities: A Comparative Review of Issues between Education and Industry. TALE 2018: 783-787
2017
[j33]
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Heikki Topi, Helena Karsten, Susan A. Brown, João Álvaro Carvalho, Brian Donnellan, Jun Shen, Bernard C. Y. Tan, Mark F. Thouin:
MSIS 2016 Global Competency Model for Graduate Degree Programs in Information Systems. Commun. Assoc. Inf. Syst. 40: 18 (2017)
[j32]
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Binbin Yong, Jun Shen, Hongyu Sun, Huaming Chen, Qingguo Zhou:
Parallel GPU-based collision detection of irregular vessel wall for massive particles. Clust. Comput. 20(3): 2591-2603 (2017)
[j31]
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Fang Dong, Jun Shen:
New trends and innovative methods in cloud computing and big data. Concurr. Comput. Pract. Exp. 29(19) (2017)
[j30]
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Geng Sun, Tingru Cui, William W. Guo, Shiping Chen, Jun Shen:
A Framework of MLaaS for Facilitating Adaptive Micro Learning through Open Education Resources in Mobile Environment. Int. J. Web Serv. Res. 14(4): 50-74 (2017)
[j29]
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Lijuan Wang, Jun Shen:
A Systematic Review of Bio-Inspired Service Concretization. IEEE Trans. Serv. Comput. 10(4): 493-505 (2017)
[c85]
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Qiang He, Xiaodong Zhu, Dongwei Li, Shuliang Wang, Jun Shen, Yun Yang:
Cost-Effective Big Data Mining in the Cloud: A Case Study with K-means. CLOUD 2017: 74-81
[c84]
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Geng Sun, Tingru Cui, Dongming Xu, Huaming Chen, Shiping Chen, Jun Shen:
Assisting Open Education Resource Providers and Instructors to Deal with Cold Start Problem in Adaptive Micro Learning: A Service Oriented Solution. SCC 2017: 196-203
[c83]
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Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Yan-Shan Tian, Qingguo Zhou:
Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland. ACSW 2017: 47:1-47:7
[c82]
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Huaming Chen, Jiangning Song, Geng Sun, Jun Shen, Lei Wang:
Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A Bioinformatics Survey. BigData Congress 2017: 177-184
[c81]
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Huaming Chen, Jun Shen, Lei Wang, Jiangning Song:
Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions. BigData Congress 2017: 368-375
[c80]
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Fei Xie, Jun Yan, Jun Shen:
Towards Cost Reduction in Cloud-Based Workflow Management through Data Replication. CBD 2017: 94-99
[c79]
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Huaming Chen, Jun Shen, Lei Wang, Jiangning Song:
Collaborative data analytics towards prediction on pathogen-host protein-protein interactions. CSCWD 2017: 269-274
[c78]
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Geng Sun, Tingru Cui, Jun Shen, Dongming Xu, Ghassan Beydoun, Shiping Chen:
Ontological Learner Profile Identification for Cold Start Problem in Micro Learning Resources Delivery. ICALT 2017: 16-20
[c77]
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Geng Sun, Tingru Cui, Ghassan Beydoun, Shiping Chen, Dongming Xu, Jun Shen:
Organizing Online Computation for Adaptive Micro Open Education Resource Recommendation. ICWL 2017: 177-182
[c76]
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Abdulaziz Alghazi, Mengxiang Li, Jun Shen, Samuel Fosso Wamba:
Aligning Business Strategy with IT Strategy from Business Model to Enterprise in Saudi Arabia Public Sector. PACIS 2017: 73
[c75]
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Salim Al-Ismaili, Mengxiang Li, Jun Shen, Qiang He, Abdulaziz Alghazi:
African Societal Challenges Transformation through IoT. PACIS 2017: 162
[c74]
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Zhuqing Xu, Fang Dong, Jiahui Jin, Junzhou Luo, Jun Shen:
GScheduler: Optimizing resource provision by using GPU usage pattern extraction in cloud environments. SMC 2017: 3225-3230
[c73]
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Abulaziz Alghazi, Mengxiang Li, Tingru Cui, Samuel Fosso Wamba, Jun Shen:
Exploration of the Misalignment Between Business and IT Strategic Objectives in Public-Sector Organisations: An Empirical Study in Saudi Arabia. WEB 2017: 15-28
2016
[j28]
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Qingguo Zhou, Jiong Wu, Ting Wu, Jun Shen, Rui Zhou:
Learning network storage curriculum with experimental case based on embedded systems. Comput. Appl. Eng. Educ. 24(2): 186-194 (2016)
[j27]
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Lijuan Wang, Jun Shen, Qingguo Zhou, Zhihao Shang, Huaming Chen, Hong Zhao:
An Evaluation of the Dynamics of Diluted Neural Network. Int. J. Comput. Intell. Syst. 9(6): 1191-1199 (2016)
[j26]
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Salim Al-Ismaili, Mengxiang Li, Jun Shen, Qiang He:
Cloud computing adoption decision modelling for SMEs: a conjoint analysis. Int. J. Web Grid Serv. 12(3): 296-327 (2016)
[j25]
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Geng Sun, Jun Shen:
Towards organizing smart collaboration and enhancing teamwork performance: a GA-supported system oriented to mobile learning through cloud-based online course. Int. J. Mach. Learn. Cybern. 7(3): 391-409 (2016)
[j24]
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Qingguo Zhou, Huaming Chen, Hong Zhao, Gaofeng Zhang, Jianming Yong, Jun Shen:
A Local Field Correlated and Monte Carlo Based Shallow Neural Network Model for Nonlinear Time Series Prediction. EAI Endorsed Trans. Scalable Inf. Syst. 3(8): e5 (2016)
[j23]
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Lijuan Wang, Jun Shen:
Multi-Phase Ant Colony System for Multi-Party Data-Intensive Service Provision. IEEE Trans. Serv. Comput. 9(2): 264-276 (2016)
[c72]
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Heikki Topi, Susan A. Brown, João Álvaro Carvalho, Brian Donnellan, Helena Karsten, Jun Shen, Bernard C. Y. Tan, Mark F. Thouin:
MSIS 2016: A Comprehensive Update of Graduate Level Curriculum Recommendation in Information Systems. AMCIS 2016
[c71]
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Huaming Chen, Jun Shen, Lei Wang, Jiangning Song:
Towards Data Analytics of Pathogen-Host Protein-Protein Interaction: A Survey. BigData Congress 2016: 377-388
[c70]
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Geng Sun, Tingru Cui, Ghassan Beydoun, Jun Shen, Shiping Chen:
Profiling and Supporting Adaptive Micro Learning on Open Education Resources. CBD 2016: 158-163
[c69]
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Chong Chen, Jun Shen, Gaofeng Zhang, Rui Zhao, Jingfeng Liu, Qingguo Zhou:
A Groundwater Management Tool for Solving the Pumping Yields Minimization Problem: A Case Study in the Heihe River Basin. CBD 2016: 289-295
[c68]
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Alva Muhammad, Qingguo Zhou, Ghassan Beydoun, Dongming Xu, Jun Shen:
Learning path adaptation in online learning systems. CSCWD 2016: 421-426
[c67]
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Zhe Sun, He Jin, Jianming Yong, Salim Al-Ismaili, Changyin Li, Jun Shen:
A High Availability Application Service Platform for nuclear power enterprises. CSCWD 2016: 613-618
[c66]
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Salim Al-Ismaili, Mengxiang Li, Qiang He, Jun Shen:
Cloud Computing Services Adoption in Australian SMEs: a Firm-Level Investigation. PACIS 2016: 8
[c65]
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Salim Al-Ismaili, Mengxiang Li, Jun Shen, Qiang He:
Cloud Computing Adoption Determinants: an Analysis of Australian SMEs. PACIS 2016: 209
[c64]
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Salim Alismaili, Mengxiang Li, Jun Shen, Qiang He:
A Consumer-Oriented Decision-Making Approach for Selecting the Cloud Storage Service: From PAPRIKA Perspective. WEB 2016: 1-12
[i1]
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Salim Alismaili, Mengxiang Li, Jun Shen, Qiang He:
A Multi Perspective Approach for Understanding the Determinants of Cloud Computing Adoption among Australian SMEs. CoRR abs/1606.00745 (2016)
2015
[j22]
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Lijuan Wang, Jun Shen, Junzhou Luo:
Bio-inspired cost-aware optimization for data-intensive service provision. Concurr. Comput. Pract. Exp. 27(18): 5662-5685 (2015)
[j21]
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Lijuan Wang, Jun Shen, Junzhou Luo:
Facilitating an ant colony algorithm for multi-objective data-intensive service provision. J. Comput. Syst. Sci. 81(4): 734-746 (2015)
[c63]
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Salim Alismaili, Mengxiang Li, Jun Shen, Qiang He:
A Multi Perspective Approach for Understanding the Determinants of Cloud Computing Adoption among Australian SMEs. ACIS 2015: 114
[c62]
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Huaming Chen, Hong Zhao, Jun Shen, Rui Zhou, Qingguo Zhou:
Supervised Machine Learning Model for High Dimensional Gene Data in Colon Cancer Detection. BigData Congress 2015: 134-141
[c61]
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Geng Sun, Tingru Cui, Jianming Yong, Jun Shen, Shiping Chen:
Drawing micro learning into MOOC: Using fragmented pieces of time to enable effective entire course learning experiences. CSCWD 2015: 308-313
[c60]
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Geng Sun, Tingru Cui, Kuan-Ching Li, Dongming Xu, Shiping Chen, Jun Shen, William W. Guo:
Towards Bringing Adaptive Micro Learning into MOOC Courses. ICALT 2015: 462-463
[c59]
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Geng Sun, Tingru Cui, William W. Guo, Ghassan Beydoun, Dongming Xu, Jun Shen:
Micro Learning Adaptation in MOOC: A Software as a Service and a Personalized Learner Model. ICWL 2015: 174-184
[c58]
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Geng Sun, Tingru Cui, Shiping Chen, William W. Guo, Jun Shen:
MLaaS: A Cloud System for Mobile Micro Learning in MOOC. IEEE MS 2015: 120-127
2014
[j20]
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Jun Shen, Ghassan Beydoun, Graham Low, Lijuan Wang:
Aligning ontology-based development with service oriented systems. Future Gener. Comput. Syst. 32: 263-273 (2014)
[j19]
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Geng Sun, Jun Shen:
Facilitating Social Collaboration in Mobile Cloud-Based Learning: A Teamworkas a Service (TaaS) Approach. IEEE Trans. Learn. Technol. 7(3): 207-220 (2014)
[c57]
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Lijuan Wang, Jun Shen, Qingguo Zhou, Ghassan Beydoun:
Ant-Inspired Multi-phase and Multi-party Negotiations in the Data-Intensive Service Provision. IEEE SCC 2014: 211-218
[c56]
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Lijuan Wang, Jun Shen, Junzhou Luo:
Multi-objective Ant Colony System for Data-Intensive Service Provision. CBD 2014: 45-52
[c55]
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Geng Sun, Jun Shen:
Collaborative Learning through TaaS: A Mobile System for Courses over the Cloud. ICALT 2014: 278-280
[c54]
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Xiaojian Zhu, Jun Shen:
Delay constrained maximum lifetime multicast based on particle swarm optimization in wireless ad hoc networks with directional antennas. ICNSC 2014: 255-260
[c53]
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Lijuan Wang, Jun Shen, Junzhou Luo:
Impacts of Pheromone Modification Strategies in Ant Colony for Data-Intensive Service Provision. ICWS 2014: 177-184
[c52]
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Yinlu Peng, Jun Shen, Xiaojian Zhu:
An HSM-based scalable network service model. WOCN 2014: 1-6
2013
[j18]
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Zhe Sun, Jun Shen, Jianming Yong:
A novel approach to data deduplication over the engineering-oriented cloud systems. Integr. Comput. Aided Eng. 20(1): 45-57 (2013)
[j17]
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Chattrakul Sombattheera, Jun Shen:
Towards optimal service composition upon QoS in agent cooperation. Int. J. Comput. Sci. Eng. 8(2): 119-132 (2013)
[j16]
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Azlan B. Ismail, Jun Yan, Jun Shen:
Incremental service level agreements violation handling with time impact analysis. J. Syst. Softw. 86(6): 1530-1544 (2013)
[j15]
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Zhe Sun, Jun Shen:
A high performance peer to cloud and peer model augmented with hierarchical secure communications. J. Syst. Softw. 86(7): 1790-1796 (2013)
[c51]
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Lijuan Wang, Junzhou Luo, Jun Shen, Fang Dong:
Cost and Time Aware Ant Colony Algorithm for Data Replica in Alpha Magnetic Spectrometer Experiment. BigData Congress 2013: 247-254
[c50]
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Lijuan Wang, Jun Shen:
Economical Data-Intensive Service Provision Supported with a Modified Genetic Algorithm. BigData Congress 2013: 355-362
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Lijuan Wang, Jun Shen, Changyan Di, Yan Li, Qingguo Zhou:
Towards minimizing cost for composite data-intensive services. CSCWD 2013: 293-298
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Geng Sun, Jun Shen, Junzhou Luo, Jianming Yong:
Evaluations of heuristic algorithms for teamwork-enhanced task allocation in mobile cloud-based learning. CSCWD 2013: 299-304
[c47]
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Geng Sun, Jun Shen:
Teamwork as a Service: A Cloud-Based System for Enhancing Teamwork Performance in Mobile Learning. ICALT 2013: 376-378
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Geng Sun, Jun Shen:
Enhancing Teamwork Performance in Mobile Cloud-Based Learning. ICWL Workshops 2013: 107-117
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Lijuan Wang, Jun Shen, Ghassan Beydoun:
Enhanced Ant Colony Algorithm for Cost-Aware Data-Intensive Service Provision. SERVICES 2013: 227-234
[c44]
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Lijuan Wang, Jun Shen, Junzhou Luo, Fang Dong:
An Improved Genetic Algorithm for Cost-Effective Data-Intensive Service Composition. SKG 2013: 105-112
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Geng Sun, Jun Shen:
Facilitating Collaborative Learning in TaaS: A Mobile Cloud System for Enhancing Teamwork Performance. SMC 2013: 681-686
[c42]
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Fang Dong, Junzhou Luo, Xia Zhu, Yuxiang Wang, Jun Shen:
A Personalized Hybrid Recommendation System Oriented to E-Commerce Mass Data in the Cloud. SMC 2013: 1020-1025
2012
[j14]
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Jun Shen, Soo Dong Kim, Nalini Venkatasubramanian:
Special issue: Service Oriented Computing and Applications. Comput. Syst. Sci. Eng. 27(2) (2012)
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Fang Dong, Junzhou Luo, Aibo Song, Jiuxin Cao, Jun Shen:
An effective data aggregation based adaptive long term CPU load prediction mechanism on computational grid. Future Gener. Comput. Syst. 28(7): 1030-1044 (2012)
[j12]
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Yiting Zhang, Ping Yu, Jun Shen:
The benefits of introducing electronic health records in residential aged care facilities: A multiple case study. Int. J. Medical Informatics 81(10): 690-704 (2012)
[j11]
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Jun Shen, Soo Dong Kim, Nalini Venkatasubramanian:
Guest editorial notes for selected papers from SOCA 2010. Serv. Oriented Comput. Appl. 6(2): 81-82 (2012)
[j10]
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Ahmed Al-Hmouz, Jun Shen, Rami Al-Hmouz, Jun Yan:
Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning. IEEE Trans. Learn. Technol. 5(3): 226-237 (2012)
[c41]
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Lina Azleny Kamaruddin, Jun Shen, Ghassan Beydoun:
Evaluating Usage of WSMO and OWL-S in Semantic Web Services. APCCM 2012: 53-58
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Lijuan Wang, Jun Shen, Jianming Yong:
A survey on bio-inspired algorithms for web service composition. CSCWD 2012: 569-574
[c39]
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Azizul Rahman Abdul Ghaffar, Ghassan Beydoun, Jun Shen, Will Tibben, Dongming Xu:
A Synthesis of a Knowledge Management Framework for Sports Event Management. ICSOFT 2012: 494-499
2011
[j9]
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Waqas Ahmed, Muhammad Ahtisham Aslam, Antonio A. Lopez-Lorca, Jun Shen, Ghassan Beydoun, Debbie Richards:
Using Ontologies to Synchronize Change in Relational Database Systems. J. Res. Pract. Inf. Technol. 43(2): 89-108 (2011)
[c38]
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Jun Shen, Ghassan Beydoun, Shuai Yuan, Graham Low:
Comparison of Bio-inspired Algorithms for Peer Selection in Services Composition. IEEE SCC 2011: 250-257
[c37]
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Azlan B. Ismail, Jun Yan, Jun Shen:
Analyzing Fault-Impact Region of Composite Service for Supporting Fault Handling Process. IEEE SCC 2011: 290-297
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Waqas Ahmed, Muhammad Ahtisham Aslam, Jun Shen, Jianming Yong:
A light weight approach for ontology generation and change synchronization between ontologies and source relational databases. CSCWD 2011: 208-214
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Zhe Sun, Jun Shen, Jianming Yong:
DeDu: Building a deduplication storage system over cloud computing. CSCWD 2011: 348-355
[c34]
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Jun Shen, Shu-Di Bao, Li-Cai Yang, Ye Li:
The PLR-DTW method for ECG based biometric identification. EMBC 2011: 5248-5251
[c33]
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Ahmed Al-Hmouz, Jun Shen, Jun Yan, Rami Al-Hmouz:
Modeling Mobile Learning System Using ANFIS. ICALT 2011: 378-380
[c32]
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Azizul Rahman Abdul Ghaffar, Ghassan Beydoun, Jun Shen, Will Tibben:
Towards Knowledge Management in Sports Event Management - Context Analysis of Malaysian Biannual Games with CommonKADS. ICSOFT (2) 2011: 377-383
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Jun Shen, Ghassan Beydoun, Graham Low:
An MAS-Based Implementation for Semantic Web Services Composition. ISD 2011: 231-241
2010
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Azlan B. Ismail, Jun Yan, Jun Shen:
An offer generation approach to SLA negotiation support in service oriented computing. Serv. Oriented Comput. Appl. 4(4): 277-289 (2010)
[c30]
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Ahmed Al-Hmouz, Jun Shen, Jun Yan, Rami Al-Hmouz:
Enhanced learner model for adaptive mobile learning. iiWAS 2010: 783-786

2000 – 2009

see FAQ

What is the meaning of the colors in the publication lists?

2009
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Azlan B. Ismail, Jun Yan, Jun Shen:
Dynamic Service Selection for Service Composition with Time Constraints. Australian Software Engineering Conference 2009: 183-190
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Jun Shen, Shuai Yuan:
QoS-Aware Peer Services Selection Using Ant Colony Optimisation. BIS (Workshops) 2009: 362-374
[c27]
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Jun Xu, Gang Xiao, Jiawei Lu, Qianhui Liang, Jun Shen:
Customizable Data Exchange Based on Web Service. ICEBE 2009: 522-525
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Ahmed Al-Hmouz, Jun Shen, Jun Yan:
A Machine Learning Based Framework for Adaptive Mobile Learning. ICWL 2009: 34-43
[c25]
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Shuai Yuan, Jun Shen, Aneesh Krishna:
Ant Inspired Scalable Peer Selection in Ontology-Based Service Composition. SERVICES II 2009: 95-102
[c24]
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Azlan B. Ismail, Jun Yan, Jun Shen:
Towards dynamic formation of temporal constraints for the service level agreements negotiation. SOCA 2009: 1-8
[c23]
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Azlan B. Ismail, Jun Yan, Jun Shen:
Verification of Composite Services with Temporal Consistency Checking and Temporal Satisfaction Estimation. WISE 2009: 343-350
2008
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Shuai Yuan, Jun Shen:
Mining e-services in P2P-based workflow enactments. Online Inf. Rev. 32(2): 163-178 (2008)
[j6]
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Anthony Tung Shuen Ho, Xunzhan Zhu, Jun Shen, Pina Marziliano:
Fragile Watermarking Based on Encoding of the Zeroes of the z-Transform. IEEE Trans. Inf. Forensics Secur. 3(3): 567-569 (2008)
[c22]
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Shuai Yuan, Jun Shen, Jun Yan:
A Practical Geographic Ontology for Spatial Web Services. IEEE SCC (2) 2008: 579-580
[c21]
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Jun Shen, Aneesh Krishna, Shuai Yuan, Ke Cai, Yuemin Qin:
A Pragmatic GIS-Oriented Ontology for Location Based Services. Australian Software Engineering Conference 2008: 562-569
[c20]
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Jun Shen, Shuai Yuan, Aneesh Krishna:
Dynamic Selection of Service Peers with Multiple Property Specifications. Business Process Management Workshops 2008: 609-620
[c19]
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Jun Shen, Shuai Yuan:
Modelling Quality and Spatial Characteristics for Autonomous e-Service Peers. CAiSE Forum 2008: 49-52
2007
[j5]
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Jun Shen, Yun Yang, Jun Yan:
A p2p based service flow system with advanced ontology-based service profiles. Adv. Eng. Informatics 21(2): 221-229 (2007)
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Jun Shen, Georg Grossmann, Yun Yang, Markus Stumptner, Michael Schrefl, Thomas Reiter:
Analysis of business process integration in Web service context. Future Gener. Comput. Syst. 23(3): 283-294 (2007)
[c18]
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Jun Shen, Qiming Tian, Xiaoyan Chen, Chun Ying, Ken Chen:
An Asset-Based Architecture Design Methodology for Rapid Telecom Service Delivery Platform Development. ASWEC 2007: 7-16
[c17]
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Muhammad Ahtisham Aslam, Jun Shen, Sören Auer, Michael Herrmann:
An Integration Life Cycle for Semantic Web Services Composition. CSCWD 2007: 490-495
[c16]
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Shuai Yuan, Jun Shen:
QoS-Aware Service Selection in P2P-Based Business Process Frameworks. CEC/EEE 2007: 675-682
2006
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Jun Shen, Hao Shen:
Embeddings of resolvable group divisible designs with block size 3. Des. Codes Cryptogr. 41(3): 269-298 (2006)
[c15]
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Jun Shen, Jun Yan, Yun Yang:
SwinDeW-S: Extending P2P Workflow Systems for Adaptive Composite Web Services. ASWEC 2006: 61-69
[c14]
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Yun Yang, Jun Shen, Jun Yan, Jinjun Chen:
Preface. Business Process Management Workshops 2006: 363-364
[c13]
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Muhammad Ahtisham Aslam, Sören Auer, Jun Shen, Michael Herrmann:
Expressing Business Process Models as OWL-S Ontologies. Business Process Management Workshops 2006: 400-415
2005
[c12]
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Qiu Chen, Jun Shen:
A SIP-Enabled Multimedia Service Framework for CERNET2. CIT 2005: 996-1003
[c11]
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Jun Shen, Yun Yang, Chengang Wan, Chuan Zhu:
From BPEL4WS to OWL-S: Integrating E-Business Process Descriptions. IEEE SCC 2005: 181-190
[c10]
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Jun Shen, Yun Yang, Jun Yan:
Adapting P2P based decentralised workflow system SwinDeW-S with Web service profile support. CSCWD (1) 2005: 535-540
2004
[j2]
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Jun Shen, Yun Yang:
Extending RDF in distributed knowledge-intensive applications. Future Gener. Comput. Syst. 20(1): 27-46 (2004)
[c9]
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Yun Yang, Wei Lai, Jun Shen, Xiaodi Huang, Jun Yan, Lukman Setiawan:
Effective Visualisation of Workflow Enactment. APWeb 2004: 794-803
[c8]
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Jun Shen, Yun Yang, Bharat Lalwani:
Mapping Web Services Specifications to Process Ontology: Opportunities and Limitations. FTDCS 2004: 229-235
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Anthony T. S. Ho, Xunzhan Zhu, Jun Shen:
Authentication of biomedical images based on zero location watermarking. ICARCV 2004: 973-976
2003
[j1]
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Junzhou Luo, Jun Shen:
Synchro-net system: A Petri net model for higher-layer protocols. Int. J. Comput. Math. 80(10): 1215-1225 (2003)
[c6]
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Anthony Tung Shuen Ho, Jun Shen, A. K. K. Chow, Jerry Woon:
Robust digital image-in-image watermarking algorithm using the fast Hadamard transform. ISCAS (3) 2003: 826-829
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Anthony T. S. Ho, Xunzhan Zhu, Jun Shen:
Slant transform watermarking for digital images. VCIP 2003: 1912-1920
2002
[c4]
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Jun Shen, Yun Yang:
RDF-Based Data Integration for Workflow Systems. ACIS 2002
[c3]
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Jun Shen, Yun Yang, Junzhou Luo:
A Petri Net Model for Session Services. EDCIS 2002: 303-314
[c2]
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Anthony Tung Shuen Ho, Jun Shen, Soon Hie Tan, A. C. Kot:
Digital image-in-image watermarking for copyright protection of satellite images using the fast Hadamard transform. IGARSS 2002: 3311-3313

1990 – 1999

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What is the meaning of the colors in the publication lists?

1999
[c1]
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Jun Shen, Junzhou Luo, Guanqun Gu:
An Object-Oriented Net Graph Model for Agent Group-Based Network Management. TOOLS (31) 1999: 126-132

Coauthor Index

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