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ORCIDJun Shen 0001
Person information
- affiliation: University of Wollongong, School of Information Systems and Technology, NSW, Australia
- affiliation (PhD 2001): Southeast University, Nanjing, China
Other persons with the same name
- Jun Shen — disambiguation page
- Jun Shen 0002
![[0000-0002-0361-0512]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0361-0512")
— Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China (and 1 more) - Jun Shen 0003 — Southeast University, School of Computer Science and Engineering, Nanjing, China
- Jun Shen 0004 — Bordeaux-3 University, Institute of Geodynamics, Image Laboratory, Talence, France (and 1 more)
- Jun Shen 0005 — Arizona State University, Tempe, USA
- Jun Shen 0006 — Xidian University, State Key Laboratory of Integrated Service Networks (ISN), Xi'an, China (and 1 more)
- Jun Shen 0007 — University of Rennes 1, France
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2020 – today
- 2023
[j103]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)- [j102]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) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]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) - [j96]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) - [j95]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) - [j94]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) - [j93]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) - [j92]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) - [c139]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 - [c138]Yazeed AlZahrani, Jun Shen, Jun Yan:
Energy-Efficient Data Consistency based Sampling Rate Optimization and Aggregation Method for IoT. CSCWD 2023: 1348-1353 - [c137]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 - [c136]Hanyue Zhang, Li Li, Jun Shen:
PGLR: Pseudo Graph and Label Reuse for Entity Relation Extraction. IJCNN 2023: 1-8 - [c135]Shuaishuai Zu, Li Li, Jun Shen:
CAKT: Coupling contrastive learning with attention networks for interpretable knowledge tracing. IJCNN 2023: 1-8 - [c134]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 - [c133]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 - 2022
- [j91]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) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - [j86]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) - [j85]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) - [j84]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) - [j83]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) - [j82]Bi Wang, Jianqing Wu, Xuelian Li, Jun Shen, Yangjun Zhong:
Uncertainty quantification for operators in online reinforcement learning. Knowl. Based Syst. 258: 109998 (2022) - [j81]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) - [j80]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) - [j79]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) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [j71]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) - [c132]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 - [c131]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 - [c130]Yazeed AlZahrani, Jun Shen, Jun Yan:
Multi-Layer Efficient Data Classification Methods for Enterprise Business Applications. CBD 2022: 30-35 - [c129]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 - [c128]Yazeed AlZahrani, Jun Shen, Jun Yan:
Spatial Goal Refinement Patterns for IoT Applications. EDGE 2022: 50-59 - [c127]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 - [c126]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 - [c125]Huan Wang, Lijuan Wang, Jun Shen:
Distributional Knowledge Transfer for Heterogeneous Federated Learning. ISPA/BDCloud/SocialCom/SustainCom 2022: 747-754 - [c124]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 - [c123]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]Mahdi Fahmideh, Jun Yan, Jun Shen, Aakash Ahmad, Davoud Mougouei, Anup Shrestha:
Knowledge Management for Cloud Computing Field. CoRR abs/2202.07875 (2022) - [i8]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
- [j70]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) - [j69]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) - [j68]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) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [c122]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 - [c121]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 - [c120]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 - [c119]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 - [c118]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 - [c117]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 - [c116]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 - [c115]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]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]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]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]Mahdi Fahmideh, Anuradha Gunawardana, Shiping Chen, Jun Shen, Brian Yecies:
Blockchain Developments and Innovations. CoRR abs/2112.07179 (2021) - [i3]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
- [j63]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) - [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - [j50]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) - [j49]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) - [j48]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) - [c114]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 - [c113]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 - [c112]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 - [c111]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 - [c110]Fei Xie, Jun Yan, Jun Shen:
A Utility-Based Fault Handling Approach for Efficient Job Rescue in Clouds. CLOUD 2020: 49-63 - [c109]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 - [c108]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 - [c107]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 - [c106]Kexin Huang, Ye Du, Li Li, Jun Shen, Geng Sun:
Pairwise-Based Hierarchical Gating Networks for Sequential Recommendation. KSEM (2) 2020: 64-75 - [c105]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 - [c104]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 - [c103]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 - [c102]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 - [e1]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] - [i2]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
- 2019
- [j47]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) - [j46]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) - [j45]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) - [j44]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) - [j43]Binbin Yong, Fucun Li, Qingquan Lv, Jun Shen, Qingguo Zhou:
Derivative-based acceleration of general vector machine. Soft Comput. 23(3): 987-995 (2019) - [c101]Binbin Yong, Zebang Shen, Yongqiang Wei, Jun Shen, Qingguo Zhou:
Short-Term Electricity Demand Forecasting Based on Multiple LSTMs. BICS 2019: 192-200 - [c100]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 - [c99]