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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
- 2023
[j200]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)- [j199]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) - [j198]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) - [j197]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) - [j196]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) - [j195]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) - [j194]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) - [j193]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) - [j192]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) - [j191]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) - [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) - [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 - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - 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]Jianchao Lu, Yuzhe Tian, Shuang Wang, Michael Sheng, James Xi Zheng:
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition. CoRR abs/2209.13645 (2022) - [i48]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. CoRR abs/2210.09766 (2022) - [i47]David Waterworth, Subbu Sethuvenkatraman, Quan Z. Sheng:
Building Metadata Inference Using a Transducer Based Language Model. CoRR abs/2212.01964 (2022) - 2021
- [j161]Diya Thomas, Rajan Shankaran, Quan Z. Sheng, Mehmet A. Orgun, Michael Hitchens, Mehedi Masud, Wei Ni, Subhas Chandra Mukhopadhyay, Md. Jalil Piran:
QoS-Aware Energy Management and Node Scheduling Schemes for Sensor Network-Based Surveillance Applications. IEEE Access 9: 3065-3096 (2021) - [j160]Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah, Azadeh Ghari Neiat, Sajib Mistry, Aditya Ghose, Surya Nepal, Lina Yao:
An internet of things service roadmap. Commun. ACM 64(9): 86-95 (2021) - [j159]Khavee Agustus Botangen, Jian Yu, Wai Kiang Yeap, Quan Z. Sheng:
Integrating Context to Preferences and Goals for Goal-oriented Adaptability of Software Systems. Comput. J. 64(5): 675-706 (2021) - [j158]Dong Chen, Sira Yongchareon, Edmund M.-K. Lai, Jian Yu, Quan Z. Sheng:
Hybrid Fuzzy C-Means CPD-Based Segmentation for Improving Sensor-Based Multiresident Activity Recognition. IEEE Internet Things J. 8(14): 11193-11207 (2021) - [j157]Osama Shahid, Mohammad Nasajpour, Seyedamin Pouriyeh, Reza M. Parizi, Meng Han, Maria Valero, Fangyu Li, Mohammed Aledhari, Quan Z. Sheng:
Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance. J. Biomed. Informatics 117: 103751 (2021) - [j156]Mingyi Liu, Zhiying Tu, Yeqi Zhu, Xiaofei Xu, Zhongjie Wang, Quan Z. Sheng:
Data correction and evolution analysis of the ProgrammableWeb service ecosystem. J. Syst. Softw. 182: 111066 (2021) - [j155]Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cécile Paris, Shahpar Yakhchi, Mehmet A. Orgun, Alireza Jolfaei, Quan Z. Sheng:
Modeling Personality Effect in Trust Prediction. J. Data Intell. 2(4): 401-417 (2021) - [j154]Jing Teng, Changling Li, Yizhan Feng, Taoran Yang, Rong Zhou, Quan Z. Sheng:
Adaptive Observer Based Fault Tolerant Control for Sensor and Actuator Faults in Wind Turbines. Sensors 21(24): 8170 (2021) - [j153]Wei Emma Zhang, Ali Shemshadi, Quan Z. Sheng, Yongrui Qin, Xiujuan Xu, Jian Yang:
A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data. IEEE Trans. Big Data 7(2): 327-340 (2021) - [j152]Guohao Sun, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Quan Z. Sheng, Xiaofang Zhou:
Incremental Graph Pattern Based Node Matching with Multiple Updates. IEEE Trans. Knowl. Data Eng. 33(4): 1585-1600 (2021) - [j151]Chao Zhang, Xiaopei Wu, Jianchao Lu, Xi Zheng, Alireza Jolfaei, Quan Z. Sheng, Dongjin Yu:
RICA-MD: A Refined ICA Algorithm for Motion Detection. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 17:1-17:17 (2021) - [j150]Shuang Wang, Xiaoping Li, Quan Z. Sheng, Rubén Ruiz, Jinquan Zhang, Amin Beheshti:
Multi-Queue Request Scheduling for Profit Maximization in IaaS Clouds. IEEE Trans. Parallel Distributed Syst. 32(11): 2838-2851 (2021) - [j149]Lina Yao, Xianzhi Wang, Quan Z. Sheng, Boualem Benatallah, Chaoran Huang:
Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations. IEEE Trans. Serv. Comput. 14(2): 502-515 (2021) - [j148]Jianchao Lu, Xi Zheng, Lihong Tang, Tianyi Zhang, Quan Z. Sheng, Chen Wang, Jiong Jin, Shui Yu, Wanlei Zhou:
Can Steering Wheel Detect Your Driving Fatigue? IEEE Trans. Veh. Technol. 70(6): 5537-5550 (2021) - [c229]Abdulwahab Aljubairy, Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Dai Hoang Tran:
A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects. ADMA 2021: 83-94 - [c228]Shuang Wang, Amin Beheshti, Yufei Wang, Jianchao Lu, Quan Z. Sheng, Stephen Elbourn, Hamid Alinejad-Rokny, Elizabeth Galanis:
Assessment2Vec: Learning Distributed Representations of Assessments to Reduce Marking Workload. AIED (2) 2021: 384-389 - [c227]Moshe Chai Barukh, Shayan Zamanirad, Marcos Báez, Amin Beheshti, Boualem Benatallah, Fabio Casati, Lina Yao, Quan Z. Sheng, Francesco Schiliro:
Cognitive Augmentation in Processes. Next-Gen Digital Services 2021: 123-137 - [c226]Quan Z. Sheng, Jian Yu, Wei Emma Zhang, Shuang Wang, Xiaoping Li, Boualem Benatallah:
Designing and Building Context-Aware Services: The ContextServ Project. Next-Gen Digital Services 2021: 138-152 - [c225]Adnan Mahmood, Quan Z. Sheng, Sarah Ali Siddiqui, Subhash Sagar, Wei Emma Zhang, Hajime Suzuki, Wei Ni:
When Trust Meets the Internet of Vehicles: Opportunities, Challenges, and Future Prospects. CIC 2021: 60-67 - [c224]Kai Wang, Yu Liu, Dan Lin, Michael Sheng:
Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings. EMNLP (Findings) 2021: 464-474 - [c223]Zawar Hussain, David Waterworth, Murtadha Aldeer, Wei Emma Zhang, Quan Z. Sheng, Jorge Ortiz:
Do You Brush Your Teeth Properly? An Off-body Sensor-based Approach for Toothbrushing Monitoring. ICDH 2021: 59-69 - [c222]Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng:
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. ICDM 2021: 867-876 - [c221]Amin Beheshti, Boualem Benatallah, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad, Jian Yang, Aditya Ghose:
AI-Enabled Processes: The Age of Artificial Intelligence and Big Data. ICSOC Workshops 2021: 321-335 - [c220]Kai Wang, Yu Liu, Quan Z. Sheng:
Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction. IJCAI 2021: 2090-2096 - [c219]Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu:
Graph Learning based Recommender Systems: A Review. IJCAI 2021: 4644-4652 - [c218]Ahoud Alhazmi, Abdulwahab Aljubairy, Wei Emma Zhang, Quan Z. Sheng, Elaf Alhazmi:
A Unified Framework for Improving Misclassifications in Modern Deep Neural Networks for Sentiment Analysis. IJCNN 2021: 1-7 - [c217]Zhicong Zhong, Yipeng Zhou, Di Wu, Xu Chen, Min Chen, Chao Li, Quan Z. Sheng:
P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees. INFOCOM 2021: 1-10 - [c216]Muhammad Sajjad Akbar, Zawar Hussain, Quan Z. Sheng, Subhas Mukhopadhyay:
An Enhancement to Channel Access Mechanism for the IEEE 802.15.3C MillimeterWave (5G) Standard to Support Stringent QoS Requirements of IoT. IoTaaS 2021: 19-38 - [c215]Sarah Ali Siddiqui, Adnan Mahmood, Quan Z. Sheng, Hajime Suzuki, Wei Ni:
A Time-aware Trust Management Heuristic for the Internet of Vehicles. TrustCom 2021: 1-8 - [c214]Salma Abdalla Hamad, Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang:
BERTDeep-Ware: A Cross-architecture Malware Detection Solution for IoT Systems. TrustCom 2021: 927-934 - [c213]Dai Hoang Tran, Salma Abdalla Hamad, Munazza Zaib, Abdulwahab Aljubairy, Quan Z. Sheng, Wei Emma Zhang, Nguyen Hoang Tran, Nguyen Lu Dang Khoa:
Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation. WISE (2) 2021: 237-251 - [c212]Yang Zhang, Yufei Wang, Quan Z. Sheng, Adnan Mahmood, Wei Emma Zhang, Rongying Zhao:
TDM-CFC: Towards Document-Level Multi-label Citation Function Classification. WISE (2) 2021: 363-376 - [c211]Abdulwahab Aljubairy, Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Dai Hoang Tran:
Towards a Deep Learning-Driven Service Discovery Framework for the Social Internet of Things: A Context-Aware Approach. WISE (2) 2021: 480-488 - [c210]Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng:
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings. WWW 2021: 1716-1726 - [i46]Subhash Sagar, Adnan Mahmood, Quan Z. Sheng, Wei Emma Zhang:
Trust Computational Heuristic for Social Internet of Things: A Machine Learning-based Approach. CoRR abs/2102.10997 (2021) - [i45]Subhash Sagar, Adnan Mahmood, Quan Z. Sheng, Munazza Zaib, Wei Emma Zhang:
Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach. CoRR abs/2102.10998 (2021) - [i44]Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah, Azadeh Ghari Neiat, Sajib Mistry, Aditya Ghose, Surya Nepal, Lina Yao:
An Internet of Things Service Roadmap. CoRR abs/2103.03043 (2021) - [i43]Kai Wang, Yu Liu, Quan Z. Sheng:
High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings. CoRR abs/2103.14930 (2021) - [i42]Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang:
A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP. CoRR abs/2104.10810 (2021) - [i41]Munazza Zaib, Dai Hoang Tran, Subhash Sagar, Adnan Mahmood, Wei Emma Zhang, Quan Z. Sheng:
BERT-CoQAC: BERT-based Conversational Question Answering in Context. CoRR abs/2104.11394 (2021) - [i40]Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang, Jorge Ortiz, Seyedamin Pouriyeh:
A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep. CoRR abs/2104.12964 (2021) - [i39]