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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
- 2024
[j214]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)- 2023
- [j213]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) - [j212]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) - [j211]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) - [j210]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) - [j209]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) - [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) - [c253]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 - [c252]Xiu Fang, Chenling Shen, Quan Z. Sheng, Guohao Sun, Yating Tang, Haiyan Zhuo:
A Multi-truth Discovery Approach Based on Confidence Interval Estimation of Truths. ADMA (5) 2023: 599-615 - [c251]Anne H. H. Ngu, Awatif Yasmin, Tarek Mahmud, Adnan Mahmood, Quan Z. Sheng:
Demo: P-Fall: Personalization Pipeline for Fall Detection. CHASE 2023: 173-174 - [c250]Xiaofei Xu, Quan Z. Sheng, Boualem Benatallah, Zhong Chen, Robert Gazda, Abdulmotableb Ei Saddik, Munindar P. Singh:
Metaverse Services: The Way of Services Towards the Future. ICWS 2023: 179-185 - [c249]Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue:
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. ICWS 2023: 731-739 - [c248]Wei Emma Zhang, Perry Chen, Jian Yang, Jianwen Su, Quan Z. Sheng:
Data Product-Oriented Services for Data Ecosystem. ICWS 2023: 755-762 - [c247]Yunchao Yang, Yipeng Zhou, Miao Hu, Di Wu, Quan Z. Sheng:
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning. IJCAI 2023: 4478-4485 - [c246]Xiu Susie Fang, Quan Z. Sheng, Guohao Sun, Shan Chang, Hongya Wang, Jian Yang:
Multi-Truth Discovery While Being Aware of Unbalanced Data Distribution. IJCNN 2023: 1-10 - [c245]Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Adnan Mahmood:
Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering. IJCNN 2023: 1-7 - [c244]Yang Zhang, Yufei Wang, Quan Z. Sheng, Adnan Mahmood, Wei Emma Zhang, Rongying Zhao:
Hybrid Data Augmentation for Citation Function Classification. IJCNN 2023: 1-8 - [c243]Xiaoxiao Ma, Jia Wu, Jian Yang, Quan Z. Sheng:
Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping. KDD 2023: 1631-1642 - [c242]Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao:
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. SIGIR 2023: 1874-1878 - [c241]Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Subhash Sagar, Adnan Mahmood, Yang Zhang:
Learning to Select the Relevant History Turns in Conversational Question Answering. WISE 2023: 334-348 - [c240]Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su:
Minimum Entropy Principle Guided Graph Neural Networks. WSDM 2023: 114-122 - [e25]Claudio A. Ardagna, Boualem Benatallah, Hongyi Bian, Carl K. Chang, Rong N. Chang, Jing Fan, Geoffrey C. Fox, Zhi Jin, Xuanzhe Liu, Heiko Ludwig, Michael Sheng, Jian Yang:
IEEE International Conference on Web Services, ICWS 2023, Chicago, IL, USA, July 2-8, 2023. IEEE 2023, ISBN 979-8-3503-0485-5 [contents] - [i73]Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin Hancock, Pietro Liò:
A Comprehensive Survey of Graph-level Learning. CoRR abs/2301.05860 (2023) - [i72]Yuanjiang Cao, Lina Yao, Le Pan, Quan Z. Sheng, Xiaojun Chang:
Guided Image-to-Image Translation by Discriminator-Generator Communication. CoRR abs/2303.03598 (2023) - [i71]Fatemeh Mosaiyebzadeh, Seyedamin Pouriyeh, Reza M. Parizi, Quan Z. Sheng, Meng Han, Liang Zhao, Giovanna Sannino, Daniel Macêdo Batista:
Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey. CoRR abs/2303.14544 (2023) - [i70]Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Adnan Mahmood:
Keeping the Questions Conversational: Using Structured Representations to Resolve Dependency in Conversational Question Answering. CoRR abs/2304.07125 (2023) - [i69]Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao:
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. CoRR abs/2304.07922 (2023) - [i68]Yunchao Yang, Yipeng Zhou, Miao Hu, Di Wu, Quan Z. Sheng:
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning. CoRR abs/2305.05221 (2023) - [i67]Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue:
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. CoRR abs/2306.01771 (2023) - [i66]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. CoRR abs/2307.05627 (2023) - [i65]Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Subhash Sagar, Adnan Mahmood, Yang Zhang:
Learning to Select the Relevant History Turns in Conversational Question Answering. CoRR abs/2308.02294 (2023) - [i64]Sricharan Donkada, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Nasrin Dehbozorgi, Nazmus Sakib, Quan Z. Sheng:
Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review. CoRR abs/2308.13714 (2023) - [i63]Yuanjiang Cao, Quan Z. Sheng, Julian J. McAuley, Lina Yao:
Reinforcement Learning for Generative AI: A Survey. CoRR abs/2308.14328 (2023) - [i62]Yang Zhang, Yufei Wang, Kai Wang, Quan Z. Sheng, Lina Yao, Adnan Mahmood, Wei Emma Zhang, Rongying Zhao:
When Large Language Models Meet Citation: A Survey. CoRR abs/2309.09727 (2023) - [i61]Jianchao Lu, Yuzhe Tian, Yang Zhang, Jiaqi Ge, Quan Z. Sheng, Xi Zheng:
LGL-BCI: A Lightweight Geometric Learning Framework for Motor Imagery-Based Brain-Computer Interfaces. CoRR abs/2310.08051 (2023) - [i60]Subhash Sagar, Adnan Mahmood, Quan Z. Sheng, Munazza Zaib, Farhan Sufyan:
Can we Quantify Trust? Towards a Trust-based Resilient SIoT Network. CoRR abs/2310.19173 (2023) - 2022
- [j189]May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng:
A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions. Comput. J. 65(8): 2098-2132 (2022) - [j188]Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Nguyen Lu Dang Khoa, Nguyen Hoang Tran:
Deep Conversational Recommender Systems: Challenges and Opportunities. Computer 55(4): 30-39 (2022) - [j187]Adnan Mahmood, Sarah Ali Siddiqui, Quan Z. Sheng, Wei Emma Zhang, Hajime Suzuki, Wei Ni:
Trust on wheels: Towards secure and resource efficient IoV networks. Computing 104(6): 1337-1358 (2022) - [j186]Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Defu Lian:
A Survey on Session-based Recommender Systems. ACM Comput. Surv. 54(7): 154:1-154:38 (2022) - [j185]Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng:
Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems. Frontiers Big Data 5 (2022) - [j184]Xiu Fang, Suxin Si, Guohao Sun, Quan Z. Sheng, Wenjun Wu, Kang Wang, Hang Lv:
Selecting Workers Wisely for Crowdsourcing When Copiers and Domain Experts Co-exist. Future Internet 14(2): 37 (2022) - [j183]Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang, Jorge Ortiz, Seyedamin Pouriyeh:
Non-invasive Techniques for Monitoring Different Aspects of Sleep: A Comprehensive Review. ACM Trans. Comput. Heal. 3(2): 24:1-24:26 (2022) - [j182]Yan Yan, Zichao Sun, Adnan Mahmood, Fei Xu, Zhuoyue Dong, Quan Z. Sheng:
Achieving Differential Privacy Publishing of Location-Based Statistical Data Using Grid Clustering. ISPRS Int. J. Geo Inf. 11(7): 404 (2022) - [j181]Chaoran Huang, Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Zhongjie Wang, Xiaofei Xu:
Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence. IEEE Internet Comput. 26(5): 68-75 (2022) - [j180]Anne H. H. Ngu, Jesuloluwa S. Eyitayo, Guowei Yang, Colin Campbell, Quan Z. Sheng, Jianyuan Ni:
An IoT Edge Computing Framework Using Cordova Accessor Host. IEEE Internet Things J. 9(1): 671-683 (2022) - [j179]Liang Zhao, Maria Valero, Seyedamin Pouriyeh, Lei Li, Quan Z. Sheng:
Communication-Efficient Semihierarchical Federated Analytics in IoT Networks. IEEE Internet Things J. 9(14): 12614-12627 (2022) - [j178]Dong Chen, Sira Yongchareon, Edmund M.-K. Lai, Quan Z. Sheng, Veronica Liesaputra:
Locally Weighted Ensemble-Detection-Based Adaptive Random Forest Classifier for Sensor-Based Online Activity Recognition for Multiple Residents. IEEE Internet Things J. 9(15): 13077-13085 (2022) - [j177]Kan Ngamakeur, Sira Yongchareon, Jian Yu, Quan Z. Sheng:
Deep CNN-LSTM Network for Indoor Location Estimation Using Analog Signals of Passive Infrared Sensors. IEEE Internet Things J. 9(22): 22582-22594 (2022) - [j176]Dong Chen, Sira Yongchareon, Edmund M.-K. Lai, Jian Yu, Quan Z. Sheng, Yafeng Li:
Transformer With Bidirectional GRU for Nonintrusive, Sensor-Based Activity Recognition in a Multiresident Environment. IEEE Internet Things J. 9(23): 23716-23727 (2022) - [j175]Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Yang Zhang:
Conversational question answering: a survey. Knowl. Inf. Syst. 64(12): 3151-3195 (2022) - [j174]Yang Zhang, Rongying Zhao, Yufei Wang, Haihua Chen, Adnan Mahmood, Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng:
Towards employing native information in citation function classification. Scientometrics 127(11): 6557-6577 (2022) - [j173]Yang Zhang, Rongying Zhao, Yufei Wang, Haihua Chen, Adnan Mahmood, Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng:
Correction to: Towards employing native information in citation function classification. Scientometrics 127(11): 6579 (2022) - [j172]Ollencio D'Souza, Subhas Chandra Mukhopadhyay, Michael Sheng:
Health, Security and Fire Safety Process Optimisation Using Intelligence at the Edge. Sensors 22(21): 8143 (2022) - [j171]Muhammad Sajjad Akbar, Zawar Hussain, Michael Sheng, Rajan Shankaran:
Wireless Body Area Sensor Networks: Survey of MAC and Routing Protocols for Patient Monitoring under IEEE 802.15.4 and IEEE 802.15.6. Sensors 22(21): 8279 (2022) - [j170]Alireza Jolfaei, Muhammad Usman, Manuel Roveri, Michael Sheng, Marimuthu Palaniswami, Krishna Kant:
Guest Editorial: Computational Intelligence for Human-in-the-Loop Cyber Physical Systems. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 2-5 (2022) - [j169]Brij B. Gupta, Dharma P. Agrawal, Muhammad Sajjad, Michael Sheng, Javier Del Ser:
Guest Editorial Artificial Intelligence and Deep Learning for Intelligent and Sustainable Traffic and Vehicle Management (VANETs). IEEE Trans. Intell. Transp. Syst. 23(10): 19575-19577 (2022) - [j168]Xiaoxiao Ma, Shan Xue, Jia Wu, Jian Yang, Cécile Paris, Surya Nepal, Quan Z. Sheng:
Deep Multi-Attributed-View Graph Representation Learning. IEEE Trans. Netw. Sci. Eng. 9(5): 3762-3774 (2022) - [j167]Shuang Wang, Xiaoping Li, Quan Z. Sheng, Amin Beheshti:
Performance Analysis and Optimization on Scheduling Stochastic Cloud Service Requests: A Survey. IEEE Trans. Netw. Serv. Manag. 19(3): 3587-3602 (2022) - [j166]Xuezheng Liu, Zhicong Zhong, Yipeng Zhou, Di Wu, Xu Chen, Min Chen, Quan Z. Sheng:
Accelerating Federated Learning via Parallel Servers: A Theoretically Guaranteed Approach. IEEE/ACM Trans. Netw. 30(5): 2201-2215 (2022) - [j165]Zhizhong Liu, Quan Z. Sheng, Xiaofei Xu, Dianhui Chu, Wei Emma Zhang:
Context-Aware and Adaptive QoS Prediction for Mobile Edge Computing Services. IEEE Trans. Serv. Comput. 15(1): 400-413 (2022) - [j164]Yipeng Zhou, Yao Fu, Zhenxiao Luo, Miao Hu, Di Wu, Quan Z. Sheng, Shui Yu:
The Role of Communication Time in the Convergence of Federated Edge Learning. IEEE Trans. Veh. Technol. 71(3): 3241-3254 (2022) - [j163]Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng:
eRiskCom: an e-commerce risky community detection platform. VLDB J. 31(5): 1085-1101 (2022) - [j162]Nan Wang, Shoujin Wang, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun:
Exploiting intra- and inter-session dependencies for session-based recommendations. World Wide Web 25(1): 425-443 (2022) - [c239]Mingyi Liu, Zhongjie Wang, Tianyu Jiang, Xiaofei Xu, Quan Z. Sheng, Stephan Reiff-Marganiec:
External Service Sensing in an Uncertain World. COMPSAC 2022: 368-373 - [c238]Jianchao Lu, Yuzhe Tian, Shuang Wang, Michael Sheng, Xi Zheng:
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition. DSAA 2022: 1-8 - [c237]Haojie Zhuang, Wei Emma Zhang, Jian Yang, Congbo Ma, Yutong Qu, Quan Z. Sheng:
Learning From the Source Document: Unsupervised Abstractive Summarization. EMNLP (Findings) 2022: 4194-4205 - [c236]Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal:
DAGAD: Data Augmentation for Graph Anomaly Detection. ICDM 2022: 259-268 - [c235]Bing Huang, Boyu Zhang, Quan Z. Sheng, Kwok-Yan Lam:
A Multi-task Learning Approach for Predicting Intentions Using Smart Home IoT Services. ICSOC 2022: 413-421 - [c234]Yanjun Shu, Jianhang Zhang, Decheng Zuo, Quan Z. Sheng:
Interval-Valued Skyline Web Service Selection on Incomplete QoS. ICWS 2022: 361-366 - [c233]Xiu Susie Fang, Quan Z. Sheng, Jian Yang, Guohao Sun, Xianzhi Wang, Yihong Zhang:
Resolving Conflicts among Unbalanced Multi-Source Data When Multi-Value Objects Exist. INFOCOM Workshops 2022: 1-2 - [c232]Behnaz Soltani, Venus Haghighi, Adnan Mahmood, Quan Z. Sheng, Lina Yao:
A survey on participant selection for federated learning in mobile networks. MobiArch@MobiCom 2022: 19-24 - [c231]Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal:
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. NeurIPS 2022 - [c230]Kai Wang, Yu Liu, Quan Z. Sheng:
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings. WWW 2022: 838-849 - [i59]Kai Wang, Yu Liu, Quan Z. Sheng:
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings. CoRR abs/2201.00565 (2022) - [i58]Subhash Sagar, Adnan Mahmood, Quan Z. Sheng, Jitander Kumar Pabani, Wei Emma Zhang:
Understanding the Trustworthiness Management in the Social Internet of Things: A Survey. CoRR abs/2202.03624 (2022) - [i57]Taotao Cai, Quan Z. Sheng, Xiangyu Song, Jian Yang, Wei Emma Zhang, Jia Wu, Philip S. Yu:
A Survey on Location-Driven Influence Maximization. CoRR abs/2204.08005 (2022) - [i56]Subhash Sagar, Adnan Mahmood, Kai Wang, Quan Z. Sheng, Wei Emma Zhang:
Trust-SIoT: Towards Trustworthy Object Classification in the Social Internet of Things. CoRR abs/2205.03226 (2022) - [i55]Taotao Cai, Qi Lei, Quan Z. Sheng, Shuiqiao Yang, Jian Yang, Wei Emma Zhang:
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. CoRR abs/2205.05236 (2022) - [i54]Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal:
Graph-level Neural Networks: Current Progress and Future Directions. CoRR abs/2205.15555 (2022) - [i53]Muhammad Sajjad Akbar, Zawar Hussain, Quan Z. Sheng, Subhas Mukhopadhyay:
6G Survey on Challenges, Requirements, Applications, Key Enabling Technologies, Use Cases, AI integration issues and Security aspects. CoRR abs/2206.00868 (2022) - [i52]Behnaz Soltani, Venus Haghighi, Adnan Mahmood, Quan Z. Sheng, Lina Yao:
A Survey on Participant Selection for Federated Learning in Mobile Networks. CoRR abs/2207.03681 (2022) - [i51]Venus Haghighi, Behnaz Soltani, Adnan Mahmood, Quan Z. Sheng, Jian Yang:
GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks. CoRR abs/2207.03688 (2022) - [i50]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. CoRR abs/2207.14472 (2022) - [i49]