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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
- 2022
[j172]Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Nguyen Lu Dang Khoa
, Nguyen H. Tran:
Deep Conversational Recommender Systems: Challenges and Opportunities. Computer 55(4): 30-39 (2022)- [j171]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) - [j170]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) - [j169]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) - [j168]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) - [j167]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) - [j166]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) - [j165]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) - [j164]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) - [j163]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) - [j162]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) - [j161]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) - [c228]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 - [c227]Kai Wang, Yu Liu, Quan Z. Sheng:
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings. WWW 2022: 838-849 - [i56]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) - [i55]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) - [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]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) - 2021
- [j160]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) - [j159]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) - [j158]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) - [j157]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) - [j156]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) - [j155]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) - [j154]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) - [j153]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) - [j152]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) - [j151]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) - [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) - [c226]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 - [c225]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 - [c224]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 - [c223]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 - [c222]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 - [c221]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 - [c220]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 - [c219]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 - [c218]Kai Wang, Yu Liu, Quan Z. Sheng:
Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction. IJCAI 2021: 2090-2096 - [c217]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 - [c216]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 - [c215]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 - [c214]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 - [c213]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 - [c212]Dai Hoang Tran, Salma Abdalla Hamad, Munazza Zaib, Abdulwahab Aljubairy, Quan Z. Sheng, Wei Emma Zhang, Nguyen H. Tran, Nguyen Lu Dang Khoa:
Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation. WISE (2) 2021: 237-251 - [c211]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 - [c210]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 - [c209]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]Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng:
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. CoRR abs/2105.00822 (2021) - [i38]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. CoRR abs/2105.04742 (2021) - [i37]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. CoRR abs/2105.06339 (2021) - [i36]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. CoRR abs/2105.12584 (2021) - [i35]Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Yang Zhang:
Conversational Question Answering: A Survey. CoRR abs/2106.00874 (2021) - [i34]Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Quan Z. Sheng, Hui Xiong:
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning. CoRR abs/2106.07178 (2021) - [i33]Osama Shahid, Seyedamin Pouriyeh, Reza M. Parizi, Quan Z. Sheng, Gautam Srivastava, Liang Zhao:
Communication Efficiency in Federated Learning: Achievements and Challenges. CoRR abs/2107.10996 (2021) - [i32]Mingyi Liu, Zhiying Tu, Yeqi Zhu, Xiaofei Xu, Zhongjie Wang, Quan Z. Sheng:
Data Correction and Evolution Analysis of the ProgrammableWeb Service Ecosystem. CoRR abs/2108.09417 (2021) - [i31]Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng:
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. CoRR abs/2112.00973 (2021) - 2020
- [j147]Abdulwahab Aljubairy, Wei Emma Zhang, Ali Shemshadi, Adnan Mahmood, Quan Z. Sheng:
A system for effectively predicting flight delays based on IoT data. Computing 102(9): 2025-2048 (2020) - [j146]Kai Wang, Yu Liu, Xiujuan Xu, Quan Z. Sheng:
Enhancing knowledge graph embedding by composite neighbors for link prediction. Computing 102(12): 2587-2606 (2020) - [j145]Salma Abdalla Hamad, Quan Z. Sheng, Wei Emma Zhang, Surya Nepal:
Realizing an Internet of Secure Things: A Survey on Issues and Enabling Technologies. IEEE Commun. Surv. Tutorials 22(2): 1372-1391 (2020) - [j144]Khavee Agustus Botangen, Jian Yu, Quan Z. Sheng, Yanbo Han, Sira Yongchareon:
Geographic-aware collaborative filtering for web service recommendation. Expert Syst. Appl. 151: 113347 (2020) - [j143]Yang Xiao, Lina Yao, Qingqi Pei, Xianzhi Wang, Jian Yang, Quan Z. Sheng:
MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation. IEEE Intell. Syst. 35(5): 7-17 (2020) - [j142]Khavee Agustus Botangen, Jian Yu, Yanbo Han, Quan Z. Sheng, Jun Han:
Quantifying the adaptability of workflow-based service compositions. Future Gener. Comput. Syst. 102: 95-111 (2020) - [j141]Huifeng Wu, Danfeng Sun, Lan Peng, Yuan Yao, Jia Wu, Quan Z. Sheng, Yi Yan:
Dynamic Edge Access System in IoT Environment. IEEE Internet Things J. 7(4): 2509-2520 (2020) - [j140]Jianchao Lu, Xi Zheng, Michael Sheng, Jiong Jin, Shui Yu:
Efficient Human Activity Recognition Using a Single Wearable Sensor. IEEE Internet Things J. 7(11): 11137-11146 (2020) - [j139]Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang:
A review and categorization of techniques on device-free human activity recognition. J. Netw. Comput. Appl. 167: 102738 (2020) - [j138]Yue Qian, Yu Liu, Quan Z. Sheng:
Understanding hierarchical structural evolution in a scientific discipline: A case study of artificial intelligence. J. Informetrics 14(3): 101047 (2020) - [j137]Brij B. Gupta, Dharma P. Agrawal, Shingo Yamaguchi, Michael Sheng:
Soft computing techniques for big data and cloud computing. Soft Comput. 24(7): 5483-5484 (2020) - [j136]Surjit Singh, Quan Z. Sheng, Elhadj Benkhelifa, Jaime Lloret:
Guest Editorial: Energy Management, Protocols, and Security for the Next-Generation Networks and Internet of Things. IEEE Trans. Ind. Informatics 16(5): 3515-3520 (2020) - [j135]Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi, Chenliang Li:
Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey. ACM Trans. Intell. Syst. Technol. 11(3): 24:1-24:41 (2020) - [j134]Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Anne H. H. Ngu, Jian Yang:
From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth. ACM Trans. Intell. Syst. Technol. 11(6): 74:1-74:24 (2020) - [j133]Lei Han, Jian Yang, Weiliang Zhao, Quan Z. Sheng:
User Interface Derivation for Business Processes. IEEE Trans. Knowl. Data Eng. 32(3): 560-573 (2020) - [j132]Zhengdi Hu, Guangquan Xu, Xi Zheng, Jiang Liu, Zhangbing Li, Quan Z. Sheng, Wenjuan Lian, Hequn Xian:
SSL-SVD: Semi-supervised Learning-based Sparse Trust Recommendation. ACM Trans. Internet Techn. 20(1): 4:1-4:20 (2020) - [j131]Fanzhen Liu, Jia Wu, Shan Xue, Chuan Zhou, Jian Yang, Quanzheng Sheng:
Detecting the evolving community structure in dynamic social networks. World Wide Web 23(2): 715-733 (2020) - [j130]Yue Qian, Yu Liu, Xiujuan Xu, Quan Z. Sheng:
Leveraging citation influences for Modeling scientific documents. World Wide Web 23(4): 2281-2302 (2020) - [j129]Weitong Chen, Guodong Long, Lina Yao, Quan Z. Sheng:
AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction. World Wide Web 23(5): 2753-2770 (2020) - [j128]Peiyao Li, Weiliang Zhao, Jian Yang, Quan Z. Sheng, Jia Wu:
Let's CoRank: trust of users and tweets on social networks. World Wide Web 23(5): 2877-2901 (2020) - [c208]Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao:
Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. AAAI 2020: 6259-6266 - [c207]Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang:
A Short Survey of Pre-trained Language Models for Conversational AI-A New Age in NLP. ACSW 2020: 11:1-11:4 - [c206]Olayinka Adeleye, Jian Yu, Sira Yongchareon, Yanbo Han, Quan Z. Sheng:
Complex Network-Based Web Service for Web-API Discovery. ACSW 2020: 18:1-18:10 - [c205]Olayinka Adeleye, Jian Yu, Ji Ruan, Quan Z. Sheng:
Evaluating Random Walk-Based Network Embeddings for Web Service Applications. ADC 2020: 198-205 - [c204]Abdulwahab Aljubairy, Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi:
SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things. CAiSE 2020: 101-116 - [c203]Vanh Khuyen Nguyen, Quan Z. Sheng, Adnan Mahmood, Wei Emma Zhang, Trung Duc Vo:
Helibot - A Smart Distributed Energy Resources Platform for Futuristic Smart Grids. CCGRID 2020: 898-901 - [c202]Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Dai Hoang Tran, Munazza Zaib, Salma Abdalla Hamad, Abdulwahab Aljubairy, Ahoud Abdulrahmn F. Alhazmi, Subhash Sagar, Congbo Ma:
The 10 Research Topics in the Internet of Things. CIC 2020: 34-43 - [c201]Subhash Sagar, Adnan Mahmood, Jitander Kumar, Quan Z. Sheng:
A Time-aware Similarity-based Trust Computational Model for Social Internet of Things. GLOBECOM 2020: 1-6 - [c200]Subhash Sagar, Adnan Mahmood, Quan Z. Sheng, Wei Emma Zhang:
Trust Computational Heuristic for Social Internet of Things: A Machine Learning-based Approach. ICC 2020: 1-6 - [c199]Shuang Wang, Quan Z. Sheng, Xiaoping Li, Adnan Mahmood, Yang Zhang:
Energy Minimization for Cloud Services with Stochastic Requests. ICSOC 2020: 133-148 - [c198]Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao:
Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. IJCAI 2020: 2333-2339 - [c197]Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Abdulwahab Aljubairy:
Analyzing the Sensitivity of Deep Neural Networks for Sentiment Analysis: A Scoring Approach. IJCNN 2020: 1-7 - [c196]Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Abdulwahab Aljubairy:
Are Modern Deep Learning Models for Sentiment Analysis Brittleƒ An Examination on Part-of-Speech. IJCNN 2020: 1-7 - [c195]Dai Hoang Tran, Abdulwahab Aljubairy, Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang, Nguyen H. Tran, Khoa L. D. Nguyen:
HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems. IJCNN 2020: 1-8 - [c194]Vanh Khuyen Nguyen, Quan Z. Sheng, Adnan Mahmood, Wei Emma Zhang, Minh-Hieu Phan, Trung Duc Vo:
Demo Abstract: An Internet of Plants System for Micro Gardens. IPSN 2020: 355-356 - [c193]Subhash Sagar, Adnan Mahmood, Michael Sheng, Munazza Zaib, Wei Zhang:
Towards a Machine Learning-driven Trust Evaluation Model for Social Internet of Things: A Time-aware Approach. MobiQuitous 2020: 283-290 - [c192]Sam Khadivizand, Amin Beheshti, Fariborz Sobhanmanesh, Quan Z. Sheng, Elias Istanbouli, Steven Wood, Damon Pezaro:
Towards intelligent feature engineering for risk-based customer segmentation in banking. MoMM 2020: 74-83 - [c191]Munazza Zaib, Dai Hoang Tran,