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Author search results
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- Quan Z. Sheng
aka: Michael Sheng 0001, Quanzheng Sheng
Macquarie University, Sydney, Australia
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Publication search results
found 598 matches
- 2024
- Xiu Susie Fang, Xianzhi Wang, Quan Z. Sheng, Lina Yao:
Generalizing truth discovery by incorporating multi-truth features. Computing 106(5): 1557-1583 (2024) - Subhash Sagar, Adnan Mahmood, Quan Z. Sheng, Munazza Zaib, Farhan Sufyan:
Can we quantify trust? Towards a trust-based resilient SIoT network. Computing 106(2): 557-577 (2024) - Danfeng Sun, Junjie Hu, Huifeng Wu, Jia Wu, Jian Yang, Quan Z. Sheng, Schahram Dustdar:
A Comprehensive Survey on Collaborative Data-access Enablers in the IIoT. ACM Comput. Surv. 56(2): 50:1-50:37 (2024) - Lingqiang Meng, Zhizhong Liu, Dianhui Chu, Quan Z. Sheng, Jian Yu, Xiaoyu Song:
POI recommendation for occasional groups Based on hybrid graph neural networks. Expert Syst. Appl. 237(Part B): 121583 (2024) - Jiaqi Ge, Gaochao Xu, Jianchao Lu, Chenhao Xu, Quan Z. Sheng, Xi Zheng:
FedAGA: A federated learning framework for enhanced inter-client relationship learning. Knowl. Based Syst. 286: 111399 (2024) - Taotao Cai, Qi Lei, Quan Z. Sheng, Ningning Cui, Shuiqiao Yang, Jian Yang, Wei Emma Zhang, Adnan Mahmood:
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. IEEE Trans. Knowl. Data Eng. 36(5): 2151-2165 (2024) - Songwei Zhang, Tie Qiu, Weisheng Si, Quan Z. Sheng, Dapeng Oliver Wu:
TEAM: A Layered-Cooperation Topology Evolution Algorithm for Multi-Sink Internet of Things. IEEE Trans. Mob. Comput. 23(5): 3754-3768 (2024) - Yuanjiang Cao, Lina Yao, Le Pan, Quan Z. Sheng, Xiaojun Chang:
Guided Image-to-Image Translation by Discriminator-Generator Communication. IEEE Trans. Multim. 26: 1528-1538 (2024) - Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu:
A Comprehensive Survey on Community Detection With Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4682-4702 (2024) - Zhizhong Liu, Quan Z. Sheng, Dianhui Chu, Xiaofei Xu, Hedan Zheng, Kai Feng:
Proactive Recommendation of Composite Services in Multi-Access Edge Computing. IEEE Trans. Serv. Comput. 17(2): 631-644 (2024) - Mingyi Liu, Hanchuan Xu, Quan Z. Sheng, Zhongjie Wang:
QoSGNN: Boosting QoS Prediction Performance With Graph Neural Networks. IEEE Trans. Serv. Comput. 17(2): 645-658 (2024) - Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang, Munazza Zaib, Ahoud Alhazmi:
Distractor Generation for Multiple-Choice Questions: A Survey of Methods, Datasets, and Evaluation. CoRR abs/2402.01512 (2024) - Chonghe Zhao, Yipeng Zhou, Shengli Zhang, Taotao Wang, Quan Z. Sheng, Song Guo:
DEthna: Accurate Ethereum Network Topology Discovery with Marked Transactions. CoRR abs/2402.03881 (2024) - 2023
- Lashmi Kondoth, Rajan Shankaran, Quan Z. Sheng, Richard Han:
Wireless Network-on-Chip Security Review: Attack Taxonomy, Implications, and Countermeasures. IEEE Access 11: 122876-122892 (2023) - Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny:
Learning Distributed Representations and Deep Embedded Clustering of Texts. Algorithms 16(3): 158 (2023) - Pasquale De Meo, Qun Jin, Jianguo Yao, Michael Sheng:
Guest Editorial: Special issue on machine learning and deep learning algorithms for complex networks. CAAI Trans. Intell. Technol. 8(1): 1-2 (2023) - Yan Yan, Zichao Sun, Adnan Mahmood, Yiming Cong, Fei Xu, Quan Z. Sheng:
ST-Resnet: a deep learning-based privacy preserving differential publishing method for location statistics. Computing 105(11): 2363-2387 (2023) - Tian Wang, Yuzhu Liang, Xuewei Shen, Xi Zheng, Adnan Mahmood, Quan Z. Sheng:
Edge Computing and Sensor-Cloud: Overview, Solutions, and Directions. ACM Comput. Surv. 55(13s): 281:1-281:37 (2023) - Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, Quan Z. Sheng:
Multi-document Summarization via Deep Learning Techniques: A Survey. ACM Comput. Surv. 55(5): 102:1-102:37 (2023) - Zhizhong Liu, Hedan Zheng, Dianhui Chu, Quan Z. Sheng, Jian Yu, Xiaofei Xu:
Towards dynamic reconfiguration of composite services via failure estimation of general and domain quality of services. Future Gener. Comput. Syst. 143: 76-92 (2023) - Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Abdulwahab Aljubairy, Munazza Zaib, Salma Abdalla Hamad, Nguyen Hoang Tran, Nguyen Lu Dang Khoa:
HeteGraph: graph learning in recommender systems via graph convolutional networks. Neural Comput. Appl. 35(18): 13047-13063 (2023) - Sarah Ali Siddiqui, Adnan Mahmood, Quan Z. Sheng, Hajime Suzuki, Wei Ni:
Towards a Machine Learning Driven Trust Management Heuristic for the Internet of Vehicles. Sensors 23(4): 2325 (2023) - Tarique Anwar, Surya Nepal, Cécile Paris, Jian Yang, Jia Wu, Quan Z. Sheng:
Tracking the Evolution of Clusters in Social Media Streams. IEEE Trans. Big Data 9(2): 701-715 (2023) - Adnan Mahmood, Quan Z. Sheng, Wei Emma Zhang, Yan Wang, Subhash Sagar:
Toward a Distributed Trust Management System for Misbehavior Detection in the Internet of Vehicles. ACM Trans. Cyber Phys. Syst. 7(3): 16:1-16:25 (2023) - Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Quan Z. Sheng, Shoujin Wang, Xiaoshui Huang, Zhenmei Yu:
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation. IEEE Trans. Cybern. 53(11): 6776-6787 (2023) - Shuo Yu, Feng Xia, Shihao Li, Mingliang Hou, Quan Z. Sheng:
Spatio-temporal Graph Learning for Epidemic Prediction. ACM Trans. Intell. Syst. Technol. 14(2): 36:1-36:25 (2023) - Sarah Ali Siddiqui, Adnan Mahmood, Quan Z. Sheng, Hajime Suzuki, Wei Ni:
Trust in Vehicles: Toward Context-Aware Trust and Attack Resistance for the Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. 24(9): 9546-9560 (2023) - Taotao Cai, Shuiqiao Yang, Jianxin Li, Quan Z. Sheng, Jian Yang, Xin Wang, Wei Emma Zhang, Longxiang Gao:
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks. IEEE Trans. Knowl. Data Eng. 35(7): 7030-7044 (2023) - Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng:
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. IEEE Trans. Knowl. Data Eng. 35(10): 9878-9889 (2023) - Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu:
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning. IEEE Trans. Knowl. Data Eng. 35(12): 12012-12038 (2023)
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