Dr. Qizhou Sun | Quantitative Finance | Best Researcher Award
Qizhou Sun is a postdoctoral researcher at the Guangdong Institute of Intelligent Unmanned System specializing in artificial intelligence and image generation. He holds a PhD in Computer Science from the University of Macau, where his research focused on reinforcement learning algorithms for algorithmic trading. With a strong background in network engineering and software development, he has experience working in both industry and academia. Qizhou is also a certified Cisco Internet Expert (CCIE) and holds a Certificate in Quantitative Finance (CQF).
Dr. Qizhou Sun | Tianjin University | China
Profile
🎓Education
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Qizhou Sun completed his PhD in Computer Science at the University of Macau from August 2018 to January 2024, focusing on reinforcement learning algorithms for algorithmic trading. Prior to that, he earned his Master’s degree in Computer Science at the same university with a research focus on data visualization between August 2016 and August 2018. He obtained his Bachelor’s degree in Computer Science and Technology from Nanjing University of Aeronautics and Astronautics, Jincheng College, where he studied from September 2009 to June 2013 and maintained a GPA of 4.0 out of 5. During his undergraduate years, he served as class monitor for four years and received multiple scholarships and honors including the National Inspirational Scholarship and First Class Scholarship.
👨🏫 Experience
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Qizhou Sun has worked as a network engineer and team leader during his internship at Shanghai Jugeng Technology, handling core network deployments. He then served as a network engineer and sales specialist at Nanjing Nuojia Technology, supporting network security for the 2014 Youth Olympic Games. Later, he was a network security engineer at Nanjing Nanrui Information and Communication Technology, designing power security networks and contributing to provincial and national science awards. From 2019 to 2022, he worked as a Java software developer at Industrial and Commercial Bank of China, independently developing banking transaction systems. Currently, he is a postdoctoral researcher at Guangdong Institute of Intelligent Unmanned System, focusing on AI and image generation.
🤝Awards and Honors
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During his academic career, Qizhou Sun was awarded the National Inspirational Scholarship twice and the First Class Scholarship three times. He was recognized as an Outstanding Student Cadre twice and honored as one of the Three Good Students twice during his undergraduate studies. He also contributed to projects that received provincial science and technology progress awards including the Qinghai Provincial Science and Technology Progress Award (third prize) and the Liaoning Provincial Science and Technology Progress Award (first prize).
💡Skills and Certifications
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Qizhou Sun possesses strong skills in computer networking, quantitative financial analysis, machine learning, deep learning, reinforcement learning, and programming languages such as Java, Python, and C. He is experienced with Linux operating systems, databases, and microcontroller technology. His certifications include the prestigious Cisco Certified Internet Expert (CCIE) and The Certificate in Quantitative Finance (CQF).
🔬 Research Focus
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His primary research focus lies in reinforcement learning algorithms applied to algorithmic trading. His scholarly work includes several significant publications on segmentation methods, decision trees for chart pattern classification, supervised actor-critic reinforcement learning, transaction-aware inverse reinforcement learning, attention-based behavioral cloning, and deep Q networks for financial trading. These works have been published in leading conferences and journals such as Springer’s International Conference on Database and Expert Systems Applications, Knowledge Science, Engineering and Management, Journal of Applied Intelligence, and Applied Soft Computing.
🌎Conclusion
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Qizhou Sun is highly suitable for the “Best Researcher Award.” His strong publication history, interdisciplinary skills, innovative contributions, and real-world applications make him a standout candidate. His work not only advances academic theory but also contributes to solving practical problems in financial systems—precisely the kind of impact such an award aims to honor.
📖Publications
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Deep Q Network with Action Retention for Going Long and Short Selling
Authors: Qizhou Sun, Yain-Whar Si
Journal: Applied Soft Computing -
An Efficient Segmentation Method: Perceptually Important Point with Binary Tree
Authors: Qizhou Sun, Yain-Whar Si
Journal: Database and Expert Systems Applications (Book Chapter) -
Customized Decision Tree for Fast Multi-resolution Chart Patterns Classification
Authors: Qizhou Sun, Yain-Whar Si
Journal: Knowledge Science, Engineering and Management (Book Chapter)