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ORCIDQuan Z. Sheng
Michael Sheng 0001 – Quanzheng Sheng
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- affiliation: Macquarie University, Sydney, Australia
- affiliation: University of Adelaide, Australia
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2020 – today
- 2025
[j243]Zhenyu Yang
, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò:
State of the Art and Potentialities of Graph-level Learning. ACM Comput. Surv. 57(2): 28:1-28:40 (2025)- [j242]Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Michael Sheng:
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. ACM Comput. Surv. 57(2): 40:1-40:37 (2025) - [j241]Muhammad Sajjad Akbar, Zawar Hussain, Muhammad Ikram, Quan Z. Sheng, Subhas Chandra Mukhopadhyay:
On challenges of sixth-generation (6G) wireless networks: A comprehensive survey of requirements, applications, and security issues. J. Netw. Comput. Appl. 233: 104040 (2025) - [j240]Yang Zhang, Yufei Wang, Quan Z. Sheng, Lina Yao, Haihua Chen, Kai Wang, Adnan Mahmood, Wei Emma Zhang, Munazza Zaib, Subhash Sagar, Rongying Zhao:
Deep learning meets bibliometrics: A survey of citation function classification. J. Informetrics 19(1): 101608 (2025) - [j239]Xiaoxiao Ma, Fanzhen Liu, Jia Wu, Jian Yang, Shan Xue, Quan Z. Sheng:
Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives. IEEE Trans. Knowl. Data Eng. 37(2): 881-895 (2025) - [e36]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15387, Springer 2025, ISBN 978-981-96-0810-2 [contents] - [e35]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15388, Springer 2025, ISBN 978-981-96-0813-3 [contents] - [e34]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15389, Springer 2025, ISBN 978-981-96-0820-1 [contents] - [e33]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15390, Springer 2025, ISBN 978-981-96-0839-3 [contents] - [e32]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15391, Springer 2025, ISBN 978-981-96-0846-1 [contents] - [e31]Quan Z. Sheng, Gill Dobbie, Jing Jiang, Xuyun Zhang, Wei Emma Zhang, Yannis Manolopoulos, Jia Wu, Wathiq Mansoor, Congbo Ma:
Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3-5, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15392, Springer 2025, ISBN 978-981-96-0849-2 [contents] - [e30]Walid Gaaloul, Michael Sheng, Qi Yu, Sami Yangui:
Service-Oriented Computing - 22nd International Conference, ICSOC 2024, Tunis, Tunisia, December 3-6, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15404, Springer 2025, ISBN 978-981-96-0804-1 [contents] - [e29]Walid Gaaloul, Michael Sheng, Qi Yu, Sami Yangui:
Service-Oriented Computing - 22nd International Conference, ICSOC 2024, Tunis, Tunisia, December 3-6, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15405, Springer 2025, ISBN 978-981-96-0807-2 [contents] - 2024
- [b5]Subhash Sagar, Adnan Mahmood, Quan Z. Sheng:
Towards Resilient Social IoT Sensors and Networks - A Trust Management Approach. Springer 2024, ISBN 978-3-031-60700-4, pp. 1-114 - [j238]Dongyuan Su, Yipeng Zhou, Laizhong Cui, Quan Z. Sheng:
Communication cost-aware client selection in online federated learning: A Lyapunov approach. Comput. Networks 249: 110517 (2024) - [j237]Subhash Sagar, Adnan Mahmood, Quan Z. Sheng, Wei Emma Zhang, Yang Zhang, Jitander Kumar Pabani:
Understanding the trustworthiness management in the social Internet of Things: A survey. Comput. Networks 251: 110611 (2024) - [j236]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) - [j235]Xiu Susie Fang, Xianzhi Wang, Quan Z. Sheng, Lina Yao:
Generalizing truth discovery by incorporating multi-truth features. Computing 106(5): 1557-1583 (2024) - [j234]Michael Sheng, Taotao Cai, Adnan Mahmood:
Special issue on link prediction in complex networks. Computing 106(7): 2079 (2024) - [j233]Yan Yan, Pengbin Yan, Adnan Mahmood, Fei Xu, Quan Z. Sheng:
Towards achieving geo-indistinguishability for 3D GPS location: A 3D Laplace mechanism approach. Concurr. Comput. Pract. Exp. 36(14) (2024) - [j232]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) - [j231]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) - [j230]Yuhang Sun, Zhizhong Liu, Quan Z. Sheng, Dianhui Chu, Jian Yu, Hongxiang Sun:
Similar modality completion-based multimodal sentiment analysis under uncertain missing modalities. Inf. Fusion 110: 102454 (2024) - [j229]Zhizhong Liu, Lingqiang Meng, Quan Z. Sheng, Dianhui Chu, Jian Yu, Xiaoyu Song:
POI recommendation for random groups based on cooperative graph neural networks. Inf. Process. Manag. 61(2): 103676 (2024) - [j228]Fariba Lotfi, Mansour Jamzad, Hamid Beigy, Helia Farhood, Quan Z. Sheng, Amin Beheshti:
Knowledge graph construction in hyperbolic space for automatic image annotation. Image Vis. Comput. 151: 105293 (2024) - [j227]Yan Yan, Pengbin Yan, Adnan Mahmood, Yang Zhang, Quan Z. Sheng:
Achieving local differential location privacy protection in 3D space via Hilbert encoding and optimized random response. J. King Saud Univ. Comput. Inf. Sci. 36(6): 102085 (2024) - [j226]Xiaoxin Su, Yipeng Zhou, Laizhong Cui, Quan Z. Sheng, Yinggui Wang, Song Guo:
Fast-Convergent Wireless Federated Learning: A Voting-Based TopK Model Compression Approach. IEEE J. Sel. Areas Commun. 42(11): 3048-3063 (2024) - [j225]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) - [j224]Yao Liu, Zesheng Ye, Rui Wang, Binghao Li, Quan Z. Sheng, Lina Yao:
Uncertainty-aware pedestrian trajectory prediction via distributional diffusion. Knowl. Based Syst. 296: 111862 (2024) - [j223]Mingkai Tian, Guorong Li, Yuankai Qi, Shuhui Wang, Quan Z. Sheng, Qingming Huang:
Rethink video retrieval representation for video captioning. Pattern Recognit. 156: 110744 (2024) - [j222]Nasrin Shabani, Jia Wu, Amin Beheshti, Quan Z. Sheng, Jin Foo, Venus Haghighi, Ambreen Hanif, Maryam Shahabikargar:
A Comprehensive Survey on Graph Summarization With Graph Neural Networks. IEEE Trans. Artif. Intell. 5(8): 3780-3800 (2024) - [j221]Tieliang Gao, Li Duan, Lufeng Feng, Wei Ni, Quan Z. Sheng:
A Novel Blockchain-based Responsible Recommendation System for Service Process Creation and Recommendation. ACM Trans. Intell. Syst. Technol. 15(4): 79:1-79:24 (2024) - [j220]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) - [j219]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) - [j218]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) - [j217]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) - [j216]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) - [j215]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) - [c274]Zhi Jin, Michael Sheng:
IEEE 2024 World Congress on Services. CLOUD 2024: xiii-xiv - [c273]Adnan Mahmood, Quan Z. Sheng:
Software Engineering Education - An Australian Higher Education Perspective. SSE 2024: 268-272 - [c272]Zhaoyang Zhang, Hongtang Cao, Xiaoyu Wang, Yang Zhang, Quan Z. Sheng:
Ontology-Driven Archival Knowledge Graph Construction Leveraging Large Language Models. ACIS 2024 - [c271]Xiu Susie Fang, Haiyan Zhuo, Quan Z. Sheng, Yihong Zhang, Tiancheng Zhu, Xinyang Du, Guohao Sun:
Truth Discovery in Social Sensing Based on Propagation Pattern and Multi-Modal Semantic Consistency Analysis. ADMA (5) 2024: 63-78 - [c270]Saqr Khalil Saeed Thabet, Behnaz Soltani, Yipeng Zhou, Quan Z. Sheng, Shiting Wen:
Towards Efficient Decentralized Federated Learning: A Survey. ADMA (2) 2024: 208-222 - [c269]Kasun Eranda Wijethilake, Adnan Mahmood, Quan Z. Sheng:
FedCLF - Towards Efficient Participant Selection for Federated Learning in Heterogeneous IoV Networks. ADMA (2) 2024: 223-238 - [c268]Fahmida Islam, Adnan Mahmood, Noorain Mukhtiar, Kasun Eranda Wijethilake, Quan Z. Sheng:
FairEquityFL - A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks. ADMA (2) 2024: 254-269 - [c267]Manoj Madushanka Perera, Adnan Mahmood, Kasun Eranda Wijethilake, Quan Z. Sheng:
Towards Adaptive Context Management for Intelligent Conversational Question Answering. ADMA (5) 2024: 360-375 - [c266]Behnaz Soltani, Venus Haghighi, Yipeng Zhou, Quan Z. Sheng, Lina Yao:
DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection. CIKM 2024: 2108-2117 - [c265]Haojie Zhuang, Wei Emma Zhang, Jian Yang, Weitong Chen, Quan Z. Sheng:
Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations. CIKM 2024: 3591-3601 - [c264]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 (Extended Abstract). ICDE 2024: 5723-5724 - [c263]Zekun Xu, Yipeng Zhou, Quan Z. Sheng, Chao Li, Tongtong Lou, Weipeng Jing:
Adaptive Global-local Fusion Network Based Deep Unsupervised Hashing for Remote Sensing Image Retrieval. ICME 2024: 1-6 - [c262]Jiahao Liu, Yipeng Zhou, Di Wu, Miao Hu, Mohsen Guizani, Quan Z. Sheng:
FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees. ICML 2024 - [c261]Zhaoyang Zhang, Yang Zhang, Quan Z. Sheng, Adnan Mahmood, Yimeng Feng, Xiaoyu Wang, Yaolin Zhou:
Multimodal Archival Data Ecosystems. ICWS 2024: 73-83 - [c260]Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu:
Graph Neural Networks for Brain Graph Learning: A Survey. IJCAI 2024: 8170-8178 - [c259]Chonghe Zhao, Yipeng Zhou, Shengli Zhang, Taotao Wang, Quan Z. Sheng, Song Guo:
DEthna: Accurate Ethereum Network Topology Discovery with Marked Transactions. INFOCOM 2024: 1711-1720 - [c258]Yao Liu, Ruoyu Wang, Yuanjiang Cao, Quan Z. Sheng, Lina Yao:
Multi-agent Traffic Prediction via Denoised Endpoint Distribution. IROS 2024: 13648-13655 - [c257]Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral:
Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification. MICCAI (10) 2024: 229-239 - [c256]Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Elaf Alhazmi, Adnan Mahmood:
Learning Contrastive Representations for Dense Passage Retrieval in Open-Domain Conversational Question Answering. WISE (1) 2024: 3-13 - [c255]Venus Haghighi, Nasrin Shabani, Behnaz Soltani, Lina Yao, Quan Z. Sheng, Jian Yang, Amin Beheshti:
Robust Graph Learning Against Camouflaged Malicious Actors. WISE (2) 2024: 146-161 - [e28]Rong N. Chang, Carl K. Chang, Jingwei Yang, Nimanthi L. Atukorala, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Tevfik Kosar, Santonu Sarkar, Sreekrishnan Venkateswaran, Shangguang Wang, Xuanzhe Liu, Seetharami Seelam, Chandra Narayanaswami, Ziliang Zong:
17th IEEE International Conference on Cloud Computing, CLOUD 2024, Shenzhen, China, July 7-13, 2024. IEEE 2024, ISBN 979-8-3503-6853-6 [contents] - [e27]Rong N. Chang, Carl K. Chang, Jingwei Yang, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Nimanthi L. Atukorala, Hongyue Wu, Shiqiang Wang, Shuiguang Deng, Nirmit Desai, Gopal Pingali, Javid Taheri, K. V. Subramaniam, Feras M. Awaysheh, Kaoutar El Maghaouri, Yingjie Wang:
IEEE International Conference on Edge Computing and Communications, EDGE 2024, Shenzhen, China, July 7-13, 2024. IEEE 2024, ISBN 979-8-3503-6849-9 [contents] - [e26]Rong N. Chang, Carl K. Chang, Jingwei Yang, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Ismael Faro, Frank Leymann, Johanna Barzen, Salvador de la Puente, Sebastian Feld, Manuel Wimmer, Nimanthi Atukorala, Hongyue Wu, David Elkouss, José García-Alonso, Aritra Sarkar:
IEEE International Conference on Quantum Software, QSW 2024, Shenzhen, China, July 7-13, 2024. IEEE 2024, ISBN 979-8-3503-6847-5 [contents] - [i87]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) - [i86]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) - [i85]Xianzhi Zhang, Yipeng Zhou, Di Wu, Shazia Riaz, Quan Z. Sheng, Miao Hu, Linchang Xiao:
A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges. CoRR abs/2405.01844 (2024) - [i84]Yao Liu, Ruoyu Wang, Yuanjiang Cao, Quan Z. Sheng, Lina Yao:
Multi-agent Traffic Prediction via Denoised Endpoint Distribution. CoRR abs/2405.07041 (2024) - [i83]Yunchuan Ma, Laiyun Qing, Guorong Li, Yuankai Qi, Quan Z. Sheng, Qingming Huang:
Retrieval Enhanced Zero-Shot Video Captioning. CoRR abs/2405.07046 (2024) - [i82]Yao Liu, Quan Z. Sheng, Lina Yao:
Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising. CoRR abs/2405.07164 (2024) - [i81]Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu:
Graph Neural Networks for Brain Graph Learning: A Survey. CoRR abs/2406.02594 (2024) - [i80]Jiating Ma, Yipeng Zhou, Qi Li, Quan Z. Sheng, Laizhong Cui, Jiangchuan Liu:
The Power of Bias: Optimizing Client Selection in Federated Learning with Heterogeneous Differential Privacy. CoRR abs/2408.08642 (2024) - [i79]Huitong Jin, Yipeng Zhou, Laizhong Cui, Quan Z. Sheng:
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training. CoRR abs/2408.09478 (2024) - [i78]Xianzhi Zhang, Yipeng Zhou, Di Wu, Quan Z. Sheng, Miao Hu, Linchang Xiao:
PPVF: An Efficient Privacy-Preserving Online Video Fetching Framework with Correlated Differential Privacy. CoRR abs/2408.14735 (2024) - [i77]Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Quan Z. Sheng:
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. CoRR abs/2408.14851 (2024) - [i76]Congbo Ma, Hu Wang, Zitai Qiu, Shan Xue, Jia Wu, Jian Yang, Preslav Nakov, Quan Z. Sheng:
Learning To Sample the Meta-Paths for Social Event Detection. CoRR abs/2411.12588 (2024) - [i75]Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Jia Wu, Jian Yang, Michael Sheng, Lina Yao:
Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference. CoRR abs/2411.17361 (2024) - [i74]Xianzhi Zhang, Yipeng Zhou, Miao Hu, Di Wu, Pengshan Liao, Mohsen Guizani, Michael Sheng:
BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation. CoRR abs/2412.02934 (2024) - 2023
- [j214]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) - [j213]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) - [j212]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) - [j211]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) - [j210]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) - [j209]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) - [j208]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) - [j207]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) - [j206]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) - [j205]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) - [j204]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) - [j203]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) - [j202]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) - [j201]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) - [j200]Guohao Sun, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Quan Z. Sheng, Xiaofang Zhou:
Partition-Aware Graph Pattern Based Node Matching With Updates. IEEE Trans. Knowl. Data Eng. 35(2): 1922-1937 (2023) - [j199]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) - [j198]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) - [j197]Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian:
Modeling User Demand Evolution for Next-Basket Prediction. IEEE Trans. Knowl. Data Eng. 35(11): 11585-11598 (2023) - [j196]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) - [j195]Subhash Sagar, Adnan Mahmood, Kai Wang, Quan Z. Sheng, Jitander Kumar Pabani, Wei Emma Zhang:
Trust-SIoT: Toward Trustworthy Object Classification in the Social Internet of Things. IEEE Trans. Netw. Serv. Manag. 20(2): 1210-1223 (2023) - [j194]Quan Z. Sheng, Arun Kumar Sangaiah, Ankit Chaudhary:
Guest Editors' Introduction for Special Issue on Applications of Computational Linguistics in Multimedia IoT Services. ACM Trans. Internet Techn. 23(2): 24:1-24:3 (2023) - [j193]Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng:
Gradient Boosted Neural Decision Forest. IEEE Trans. Serv. Comput. 16(1): 330-342 (2023) - [j192]Zhizhong Liu, Quan Z. Sheng, Zhenxing Zhang, Xiaofei Xu, Dianhui Chu, Jian Yu, Shuang Wang:
Accurate and Reliable Service Recommendation Based on Bilateral Perception in Multi-Access Edge Computing. IEEE Trans. Serv. Comput. 16(2): 886-899 (2023) - [j191]Yanjun Shu, Jianhang Zhang, Wei Emma Zhang, Decheng Zuo, Quan Z. Sheng:
IQSrec: An Efficient and Diversified Skyline Services Recommendation on Incomplete QoS. IEEE Trans. Serv. Comput. 16(3): 1934-1948 (2023) - [j190]Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Nguyen Hoang Tran, Nguyen Lu Dang Khoa:
CupMar: A deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation. World Wide Web (WWW) 26(2): 713-732 (2023) - [c254]Chen Chen, Yufei Wang, Yang Zhang, Quan Z. Sheng, Kwok-Yan Lam:
Separate-and-Aggregate: A Transformer-Based Patch Refinement Model for Knowledge Graph Completion. ADMA (2) 2023: 62-77 - [c253]