Selected Publications

Journal Papers

• Weitong Chen, Wei Emma Zhang, and Lin Yue. “Death Comes But Why: A Multi-Task Memory-Fused Prediction for Accurate and Explainable Illness Severity in ICUs”, World Wide Web Journal. Accepted in September 2023.
• Taotao Cai, Qi Lei, Quan Z. Sheng, Ningning Cui, Shuiqiao Yang, Jian Yang, Wei Emma Zhang, and Adnan Mahmood. “Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks”, Transactions on Knowledge and Data Engineering. Accepted in September 2023.
• Zhigang Yang, Xinbo Jia, Yahui Shen, Yuanlan Yang, Huiyang Li, and Wei Emma Zhang. “AMGAN: An Attribute-Matched Generative Adversarial Network for UAV Virtual Sample Generation”, Neural Processing Letters. Accepted in May 2023.
• Subhash Sagar, Adnan Mahmood, Kai Wang, Quan Z. Sheng, Jitander Kumar Pabani, and Wei Emma Zhang. “Trust-SIoT: Towards Trustworthy Object Classification in Social Internet of Things”, IEEE Transactions on Network and Service Management. Accepted in February 2023.
• Zhigang Yang, Junyu Kong; Binxi Zheng, Ming Li, Wei Emma Zhang, Tao Chen. “Object Detection in Remote Sensing Images with Balanced Rotational and Horizontal Bounding Boxes”, IEEE Geoscience and Remote Sensing Letters. Accepted in September 2022.
• Yutong Qu, Wei Emma Zhang, Jian Yang, Lingfei Wu and Jia Wu. “Knowledge-aware Document Summarization: A Survey of Knowledge, Embedding Methods and Architectures”, Knowledge-Based Systems 257: 109882 (2022). paper.
• Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood and Yang Zhang. “Conversational question answering: a survey”, Knowledge and Information Systems 64(12): 3151-3195 (2022). paper.
• Taotao Cai, Shuiqiao Yang, Jianxin Li, Quan Z. Sheng, Jian Yang, Xin Wang, Wei Emma Zhang, and Longxiang Gao. “Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks”, Transactions on Knowledge and Data Engineering, vol. 35, no. 7, PP. 7030-7044, 2023. paper.
• Yanjun Shu, Jianhang Zhang, Wei Emma Zhang, Decheng Zuo, Quan Z. Sheng. “IQSrec: An Efficient and Diversified Skyline Services Recommendation on Incomplete QoS”, IEEE Transactions on Services Computing, vol. 16, no. 3, PP. 1934-1948, 2023. paper.
• Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Nguyen H. Tran and 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 Journal 26, pp.713–732, 2023. paper.
• Congbo Ma, Wei Emma Zhang, Mingyu Guo, Hu Wang, and Quan Z. Sheng. “Multi-document Summarization via Deep Learning Techniques: A Survey”. ACM Computing Surveys, 55(5): 102:1-102:37, 2023. paper.
• Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Abdulwahab Aljubairy, Munazza Zaib, Salma Abdalla Hamad, Nguyen H. Tran, and Nguyen Lu Dang Khoa. “HeteGraph: Graph Learning in Recommender Systems via Graph Convolutional Networks”, Neural Computing and Applications, 35, pp.13047–13063, 2023. paper.
• Wei Emma Zhang, Ruidong Chang and Minhao Zhu. “Time Series Visualization and Forecasting from Australian Building and Construction Statistics”. Applied Sciences, 12(5), 2420, 2022. paper.
• Yang Zhang, Rongying Zhao, Yufei Wang, Haihua Chen, Adnan Mahmood, Munazza Zaid, Wei Emma Zhang and Quan Z. Sheng. “Towards Employing Native Information in Citation Function Classification”, Scientometrics 127(11): 6557-6577, 2022. paper.
• Adnan Mahmood, Quan Z. Sheng and Wei Emma Zhang. “Trust on Wheels - Towards Secure and Resource Efficient IoV Networks”, Computing 104(6): 1337-1358, 2022. paper.
• Zawar Hussain, Quan Z. Sheng, Wei Emma Zhang. “Non-Invasive Techniques for Monitoring Different Aspects of Sleep: A Comprehensive Review”, ACM Transactions on Computing for Healthcare, 3(2):24, pp 1-26, 2022. paper.
• Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Nguyen Lu Dang Khoa, and Nguyen H. Tran, “Deep Conversational Recommender Systems: Challenges and Opportunities”, IEEE Computer, 55(4): 30-39, 2022. paper.
• Kai Xing, Pan Zhou, Jiaojiao Li, Miao Liu and Wei Emma Zhang, “Inhibitory Effect of PD-1/PD-L1 and Blockade Immunotherapy in Leukemia”, Combinatorial Chemistry & High Throughput Screening, 25(9):1399-1410, 2022. paper.
• Zhizhong Liu, Quan Z. Sheng, Xiaofei Xu, Dianhui Chu, and Wei Emma Zhang. “Context-Aware and Adaptive QoS Prediction for Mobile Edge Computing Services”, IEEE Transactions on Services Computing, vol. 15, no. 1, pp. 400-413, 2022. paper.
• Zawar Hussain, David Waterworth, Adnan Mahmood, Quen Z. Sheng, and Wei Emma Zhang, “Dataset for toothbrushing activity using brush-attached and wearable sensors”, Data in Brief, vol. 37, pp 1–7, 2021. paper.
• Minh H. Phan, Queen Nguyen, Son L. Phung, Wei Emma Zhang, Trung D. Vo and Quan Z. Sheng, “CompactNet: A Light-Weight Deep Learning Framework for Smart Intrusive Load Monitoring”, IEEE Sensors Journal, vol. 21, no. 22, pp. 25181-25189, 2021. paper.
• Vanh Khuyen Nguyen, Wei Emma Zhang, Adnan Mahmood. “Semi-supervised Intrusive Appliance Load Monitoring in Smart Energy Monitoring System”, ACM Transactions on Sensor Networks, vol 17, no. 3, pp 32:1–32:20, 2021. paper.
• Wei Emma Zhang, Ali Shemshadi, Quan Z. Sheng, Yongrui Qin. “A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data”, IEEE Transactions on Big Data, vol. 7, no. 2, pp. 327-340, 2021. paper.
• Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Anne H. H. Ngu, and Jian Yang. “From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth”, ACM Transactions on Intelligent Systems and Technology, vol 11, no 6, pp. 1-24, 2020. paper.
• Zawar Hussain, Quan Z. Sheng, and Wei Emma Zhang. “A Review and Categorization of Techniques on Device-Free Human Activity Recognition”, Journal of Networking and Computer Applications, vol 167, Article 102738, 2020. paper.
• Salma Abdalla Hamad, Quan Z. Sheng, Wei Emma Zhang, and Surya Nepal. “Realizing an Internet of Secure Things: A Survey on Issues and Enabling Technologies”, IEEE Communications Surveys and Tutorials, Vol 22, No 2, pp 1372-1391, 2020. paper.
• Wei Emma Zhang, Quan Z. Sheng, Ahoud Alhazmi, and Chenliang Li. “Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey”, ACM Transactions on Intelligent Systems and Technology, vol 11, no. 3, 2020. EiC’s Pick as Five Outstanding TIST Articles in Jan 2022. paper.
• Abdulwahab Aljubairy, Wei Emma Zhang, Ali Shemshadi, Adnan Mahmood, and Quan Z. Sheng. “A System for Effectively Predicting Flight Delays based on IoT Data”, Computing, 102(9), pp.2025-2048, Springer, 2020. paper.
• Yanjun Shu, Wei Emma Zhang, Yanxin Liu, Chunpei Wang, Jian Dong, Zhan Zhang, Dongxi Wen, Decheng Zuo. “Bottom-Up Teaching Reformation for the Undergraduate Course of Computer Organization and Architecture”, Communications in Computer and Information Science vol. 1059, pp. 303-312, 2019. paper.
• Adnan Mahmood, Wei Emma Zhang, and Quan Z. Sheng. “Software-defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges”, Future Internet, vol 11, no 3, p70, 2019 (Invited paper, 10th Anniversary Feature Papers). paper.
• Tran Khoi Nguyen, Quan Z. Sheng, M. Ali Babar, Lina Yao, Wei Emma Zhang, Schahram Dustdar. “Internet of Things Search Engine: Concepts, classification, and open issues”, Communications of the ACM, vol. 62, no. 7, pp 66-73, 2019. paper.
• Wei Emma Zhang, Quan Z. Sheng, Jey Han Lau, Ermyas Abebe, and Wenjie Ruan. “Duplicate Detection in Programming Question Answering Communities”, ACM Transactions on Internet Technology, vol. 18, no. 3, pp 37:1–37:21, 2018. paper.
• Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Kerry Taylor, Ali Shemshadi and Yongrui Qin. “A Learning Based Framework for Improving Querying on Web Interfaces of Curated Knowledge Bases”, ACM Transactions on Internet Technology, vol. 18, No. 3, pp 35:1–35:20, 2018. paper.
• Lina Yao, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang and Yongrui Qin. “Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information”, ACM Transactions on Internet Technology, vol. 18, no. 3, pp 32:1–32:24, 2018. paper.
• Wei Emma Zhang, Quan Z. Sheng, Yongrui Qin, Kerry Taylor, and Lina Yao. “Learning-based SPARQL Query Performance Modeling and Prediction”, World Wide Web Journal 21, 1015–1035, 2018. paper.
• Ali Shemshadi, Quan Z. Sheng, Wei Emma Zhang, Aixin Sun, Yongrui Qin and Lina Yao. “Searching for the Internet of Things on the Web: Where It Is and What It Looks Like”, Personal and Ubiquitous Computing, vol. 21, No. 6, pp 2097-1112, 2017. paper.

Conference Papers

To be added