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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
- Jun Shen 0008 — Sun Yat-Sen University, Department of Radiology, Sun Yat-Sen Memorial Hospital, Guangzhou, China
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2020 – today
- 2024
[j118]Ghassan Beydoun, Graham Low, Asif Gill, Monir Moniruzzaman, Jun Shen:
Tailoring ontology retrieval for supporting requirements analysis. Adv. Eng. Informatics 59: 102231 (2024)- [j117]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) - [j116]Mahdi Fahmideh, Babak Abedin, Jun Shen:
Towards an integrated framework for developing blockchain systems. Decis. Support Syst. 180: 114181 (2024) - [j115]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) - [j114]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) - [j113]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) - [j112]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) - [j111]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) - [c160]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 - [c159]Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen:
Iterative Search Attribution for Deep Neural Networks. ICML 2024 - [c158]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 - [c157]Aris Suhada Mian, Jun Shen, Elena Vlahu-Gjorgievska:
A Bibliometric Analysis of Collaboration in Digital Transformation: The Use of IS Theories. PACIS 2024 - [c156]Sose Raeinaldo Virnandes, Jun Shen, Elena Vlahu-Gjorgievska:
Shaping Trust in Public Service: A Convergent Mixed-methods Investigation of Digital Government Transformation. PACIS 2024 - [c155]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 - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]Qi Xiong, Xinman Zhang, Jun Shen:
A Prior Embedding-Driven Architecture for Long Distance Blind Iris Recognition. CoRR abs/2408.00210 (2024) - 2023
- [j110]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]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]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) - [j107]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) - [j106]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]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]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) - [j103]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) - [j102]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]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]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]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) - [j98]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) - [j97]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) - [j96]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]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) - [c154]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 - [c153]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 - [c152]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 - [c151]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 - [c150]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 - [c149]Yazeed AlZahrani, Jun Shen, Jun Yan:
Energy-Efficient Data Consistency based Sampling Rate Optimization and Aggregation Method for IoT. CSCWD 2023: 1348-1353 - [c148]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 - [c147]Susan Zhang, Jun Shen, Jun Yan:
Novel E-Learning Experience and Perceptions with Impacts from Educational Key Opinion Leaders. FIE 2023: 1-6 - [c146]Hanyue Zhang, Li Li, Jun Shen:
A Document-Level Relation Extraction Framework with Dynamic Pruning. ICANN (8) 2023: 13-25 - [c145]Shuaishuai Zu, Chuyu Wang, Yafei Liu, Jun Shen, Li Li:
Contrastive Learning Augmented Graph Auto-Encoder. ICONIP (11) 2023: 280-291 - [c144]Hanyue Zhang, Li Li, Jun Shen:
PGLR: Pseudo Graph and Label Reuse for Entity Relation Extraction. IJCNN 2023: 1-8 - [c143]Shuaishuai Zu, Li Li, Jun Shen:
CAKT: Coupling contrastive learning with attention networks for interpretable knowledge tracing. IJCNN 2023: 1-8 - [c142]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 - [c141]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 - [c140]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 - [c139]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 - [i12]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) - [i11]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]Jessica Liu, Huaming Chen, Jun Shen, Kim-Kwang Raymond Choo:
FairCompass: Operationalising Fairness in Machine Learning. CoRR abs/2312.16726 (2023) - 2022
- [j94]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]Sose Raeinaldo Virnandes, Jun Shen, Elena Vlahu-Gjorgievska:
Generating Public Trust through Digital Government Transformation. ACIS 2022: 32 - [c135]Yazeed AlZahrani, Jun Shen, Jun Yan:
Multi-Layer Efficient Data Classification Methods for Enterprise Business Applications. CBD 2022: 30-35 - [c134]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]Yazeed AlZahrani, Jun Shen, Jun Yan:
Spatial Goal Refinement Patterns for IoT Applications. EDGE 2022: 50-59 - [c132]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]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]Huan Wang, Lijuan Wang, Jun Shen:
Distributional Knowledge Transfer for Heterogeneous Federated Learning. ISPA/BDCloud/SocialCom/SustainCom 2022: 747-754 - [c129]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]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
- [j71]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]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]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]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]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]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]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]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]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]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]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]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]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]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]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]