Qingquan Zhang

Articles

• Lai, B., Yi, P., Sui, Y., & Zhang, Q. (2021). Energy distribution in EV energy network under energy shortage. Neurocomputing, Elsevier, 444 179-188.  link >
• Cong, L., Li, B., & Zhang, Q. (2021). Internet of Things: Business Economics and Applications. Review of Business, 41 (1), 15-29.
• Pan, Y., Li, S., Ning, Z., Li, B., Zhang, Q., & Zhu, T. (2020). auSense: Collaborative Airspace Sensing by Commercial Airplanes and Unmanned Aerial Vehicles. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 69 (6), 5995-6010.  link >
• Yao, Y., Ning, Z., Zhang, Q., & Zhu, T. (2019). Paris: Passive and Continuous Fetal Heart Monitoring System. Smart Health, Elsevier, 17 100087.  link >
• Zhang, Q., Yao, Y., & Zhu, T. (2018). Dynamic Enhanced Field Division: An Advanced Localizing and Tracking Middleware. ACM Transactions on Sensor Networks (TOSN), ACM, 1 (15), 1-26.  link >
• Yi, P., Zhu, T., Zhang, Q., Wu, Y., & Pan, L. (2016). Puppet attack: A denial of service attack in advanced metering infrastructure network. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 59 325-332.  link >
• Zhang, S., Zhang, Q., Xiao, S., Zhu, T., Gu, Y., & Lin, Y. (2015). Cooperative Data Reduction in Wireless Sensor Network. ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 14 (4).  link >
• Zhang, Q., Fu, L., Gu, Yu (Jason), ., Gu, L., Cao, Q., Chen, J., & He, T. (2014). Collaborative Scheduling in Dynamic Environments Using Error Inference. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 25 (3), 591-601.  link >
• Zhang, Q., Sobelman, G., & He, T. (2009). Gradient-based target localization in robotic sensor networks. PERVASIVE AND MOBILE COMPUTING, 5 (1), 37-48.  link >

Book Chapters

• Zhang, Q., Li, B., & Xie, D. (2022). Alternative Data Utilization from a Country Perspective. Alternative Data and Artificial Intelligence Techniques ( pp. 89-107). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). An Introduction to Quantitative Portfolio Management and Risk Management. Alternative Data and Artificial Intelligence Techniques ( pp. 3-14). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). Analyzing the Special Purpose Acquisition Corporation (SPAC) with ESG Factors. Alternative Data and Artificial Intelligence Techniques ( pp. 217-250). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). Data Visualization. Alternative Data and Artificial Intelligence Techniques ( pp. 279-310). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). Environmental, Social Responsibility, and Corporate Governance (ESG) Factors of Corporations. Alternative Data and Artificial Intelligence Techniques ( pp. 141-166). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). ESG Impacts on Corporation’s Fundamental: Studies from the Healthcare Industry. Alternative Data and Artificial Intelligence Techniques ( pp. 251-275). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). Fraud and Deception Detection: Text-Based Data Analytics. Alternative Data and Artificial Intelligence Techniques ( pp. 185-198). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). Interacting with a MongoDB Database from a Python Function in AWS Lambda. Alternative Data and Artificial Intelligence Techniques ( pp. 311-327). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). Introduction of Alternative Data in Finance. Alternative Data and Artificial Intelligence Techniques ( pp. 75-88). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). Machine Learning and AI in Financial Portfolio Management. Alternative Data and Artificial Intelligence Techniques ( pp. 33-74). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). Machine Learning Technique in Trading: A Case Study in the EURUSD Market. Alternative Data and Artificial Intelligence Techniques ( pp. 199-215). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). Sentiment Factors in Finance. Alternative Data and Artificial Intelligence Techniques ( pp. 167-181). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). Smart Beta and Risk Factors Based on IoTs. Alternative Data and Artificial Intelligence Techniques ( pp. 129-139). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). Smart Beta and Risk Factors Based on Textural Data and Machine Learning. Alternative Data and Artificial Intelligence Techniques ( pp. 111-128). Springer International Publishing.  link >
• Zhang, Q., Li, B., & Xie, D. (2022). The Major Trends in Global Financial Asset Management. Alternative Data and Artificial Intelligence Techniques ( pp. 15-30). Springer International Publishing.  link >
• Zhang, Q., Maurizio Pompella, Roman Matousek (Ed.) (2021). Alternative Data in FinTech and Business Intelligence. The Palgrave Handbook of FinTech and Blockchain ( pp. 217-242). United Kingdom: Palgrave Macmillan.  link >

Conference Proceedings

• Zhang, Q. (2023). Chatbot Integration for Metaverse-A University Platform Prototype. ( 2 ed pp. 7). 2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS), Berlin, Germany: IEEE.  link >
• Wang, W., Ning, Z., Iradukunda, H., Zhang, Q., Zhu, T., & Yi, P. (2021). MailLeak: Obfuscation-Robust Character Extraction Using Transfer Learning. ( pp. 459-464). 2021 ACM/IEEE 6TH SYMPOSIUM ON EDGE COMPUTING (SEC 2021.  link >
• Serafini, G., Yi, P., Zhang, Q., Brambilla, M., Wang, J., Hu, Y., & Li, B. (2020). Sentiment-Driven Price Prediction of the Bitcoin based on Statistical and Deep Learning Approaches. 2020 International Joint Conference on Neural Networks (IJCNN) ( pp. 1--8).
• Serafini, G., Yi, P., Zhang, Q., Brambilla, M., Wang, J., Hu, Y., & Li, B. (2020). Sentiment-Driven Price Prediction of the Bitcoin based on Statistical and Deep Learning Approaches. IEEE International Joint Conference on Neural Networks (IJCNN) 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN.
• Tao, Y., Xiao, S., Hao, B., Zhang, Q., Zhu, T., & Chen, Z. (2020). WiRE: Security Bootstrapping for Wireless Device-to-Device Communication. IEEE Wireless Communications and Networking Conference 2020 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC.
• Lai, B., Yi, P., Sui, Y., & Zhang, Q. (2019). Energy Distribution in EV Energy Network under Energy Shortage. 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) ( pp. 2594-2600).  link >
• Xie, Q., Zhang, Q., Tan, D., Zhu, T., Xiao, S., Li, B., Sun, L., Yi, P., & Wang, J. (2019). Chatbot Application on Cryptocurrency. IEEE Conference on Computational Intelligence for Financial Engineering and Economics CIFEr ( pp. 181-188). IEEE Conference on Computational Intelligence for Financial Engineering and Economi: 2019 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR FINANCIAL ENGINEERING & ECONOMICS (CIFER 2019.  link >
• Cheng, L., Gu, Y., Niu, J., Zhu, T., Liu, C., Zhang, Q., & He, T. (2016). Taming Collisions for Delay Reduction in Low-Duty-Cycle Wireless Sensor Networks. IEEE INFOCOM IEEE INFOCOM 2016 - THE 35TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS.
• Huang, Z., Xie, T., Zhu, T., Wang, J., & Zhang, Q. (2016). Application-Driven Sensing Data Reconstruction and Selection Based on Correlation Mining and Dynamic Feedback. ( pp. 1322-1327). 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA.
• Cheng, L., Niu, J., Gu, Y., He, T., & Zhang, Q. (2015). Energy-Efficient Statistical Delay Guarantee for Duty-Cycled Wireless Sensor Networks. ( pp. 46-54). 2015 12TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON SENSING, COMMUNICATION, AND NETWORKING (SECON.
• Zhang, Q., Xu, W., Huang, Z., Zhou, Z., Yi, P., Zhu, T., & Xiao, S. (2015). Context-Centric Target Localization with Optimal Anchor Deployments. IEEE International Conference on Network Protocols Proceedings ( pp. 396-405). 2015 IEEE 23RD INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS (ICNP.  link >
• Zhang, Q., Zhou, Z., Xu, W., Qi, J., Guo, C., Yi, P., Zhu, T., & Xiao, S. (2015). Fingerprint-free Tracking with Dynamic Enhanced Field Division. IEEE INFOCOM 2015 IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (INFOCOM.
• Yi, P., Tang, Y., Hong, Y., Shen, Y., Zhu, T., Zhang, Q., & Begovic, M. (2014). Renewable Energy Transmission through Multiple Routes in a Mobile Electrical Grid. 2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT.
• Yi, P., Zhu, T., Zhang, Q., Wu, Y., & Li, J. (2014). A Denial of Service Attack in Advanced Metering Infrastructure Network. IEEE International Conference on Communications ( pp. 1029-1034). 2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC.
• Zhong, W., Huang, Z., Zhu, T., Gu, Y., Zhang, Q., Yi, P., Jiang, D., & Xiao, S. (2014). iDES: Incentive-Driven Distributed Energy Sharing in Sustainable Microgrids. 2014 INTERNATIONAL GREEN COMPUTING CONFERENCE (IGCC.
• Zhou, Z., Xie, M., Zhu, T., Xu, W., Yi, P., Huang, Z., Zhang, Q., & Xiao, S. (2014). EEP2P: An Energy-Efficient and Economy-Efficient P2P Network Protocol. 2014 INTERNATIONAL GREEN COMPUTING CONFERENCE (IGCC.
• Niu, J., Cheng, L., Gu, Y., Jun, J., & Zhang, Q. (2013). Minimum-Delay and Energy-Efficient Flooding Tree in Asynchronous Low-Duty-Cycle Wireless Sensor Networks. ( pp. 1261-1266). 2013 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC.
• Yi, P., Zhu, T., Lin, G., & Zhang, Q. (2013). Routing Renewable Energy Using Electric Vehicles in Mobile Electrical Grid. IEEE International Conference on Mobile Ad-hoc and Sensor Systems ( pp. 19-27). 2013 IEEE 10TH INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR SYSTEMS (MASS 2013.  link >
• Zhang, Q., Fu, L., Zhu, T., Gu, Y., Yi, P., & Chen, J. (2013). Mobile Anchor Assisted Error Bounded Sensing in Sensor Networks: An Implementation Perspective. IEEE International Conference on Mobile Ad-hoc and Sensor Systems ( pp. 592-596). 2013 IEEE 10TH INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR SYSTEMS (MASS 2013.  link >
• Yi, P., Zhu, T., Zhang, Q., Wu, Y., & Li, J. (2012). Green Firewall: an Energy-Efficient Intrusion Prevention Mechanism in Wireless Sensor Network. IEEE Global Communications Conference ( pp. 3037-3042). 2012 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM.
• Zhang, Q., Zhu, T., Yi, P., & Gu, Y. (2012). Cooperative Data Reduction in Wireless Sensor Network. IEEE Global Communications Conference ( pp. 628-633). 2012 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM.
• Zhang, Q., Gu, Y., He, T., & Sobelman, G. (2008). Cscan: A correlation-based scheduling algorithm for wireless sensor networks. IEEE International Conference on Networking Sensing and Control ( pp. 1025-+). PROCEEDINGS OF 2008 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, VOLS 1 AND 2.

Other Publications

• Zhu, T., Xiao, S., Zhang, Q., Gu, Y., Yi, P., & Li, Y. (2015). Emergent Technologies in Big Data Sensing: A Survey. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS.  link >
• Zhu, T., Zhang, Q., Xiao, S., Gu, Y., Yi, P., & Li, Y. (2015). Big Data in Future Sensing. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS.  link >

Presentations

• Zhang, Q., & Xie, D. (2022). The role of regulatory sandbox in promoting financing of fintech companies. The 4th China International Forum on Finance and Policy, Economic Research Journal and the Journal of Empirical Finance (JEF.
• Zhang, Q. (2022). The Promotional Effect of Regulatory Sandbox on Fintech Firms's Financing. 2022 China Fintech Research Conference, Fintech Education and Research 50-Person Forum.
• Zhang, Q. (2022). Regulation, Tax, and Cryptocurrency Pricing. Hawaii Accounting Research Conference 2022, Carson College of Business, Washington State University, USA.
• Zhang, Q. (2021). Housing Price, Wealth Inequality and Land Property Rights Reform. the 7th China Finance Forum, Peking University, Shandong University & others.
• Zhang, Q. (2021). Regulation, Tax, and Cryptocurrency Pricing. the 2021 New Zealand Finance Meeting, Auckland University of Technology.
• Zhang, Q. (2021). Regulation, Tax, and Cryptocurrency Pricing. 4th UWA Blockchain and Cryptocurrency Conference, University of Western Australia (UWA.
• Zhang, Q. (2021). Regulation, Tax, and Cryptocurrency Pricing. 5th Shanghai-Edinburgh-London Fintech Conference , Shanghai Institute of International Finance Centre, University of Edinburgh Business School and Bartlett School of Sustainable Construction, University College London.
• Zhang, Q. (2020). The Evolution of Monetary Rules with Financial Stability Considerations. the 7th International conference on the Chinese Economy: Past, Present and Future, Tsinghua University.

Textbooks

• Zhang, Q., Li, B., & Xie, D. (2022). Alternative Data and Artificial Intelligence Techniques Applications in Investment and Risk Management. ( pp. 330). United Kingdom: Palgrave Macmillan Cham.  link >

Working Papers

• Yan, B., Stuart, L., Tu, A., & Zhang, Q. Analysis of the Effect of COVID-19 on the Stock Market and Investing Strategies.  link >