Zheng Zheng

East China University of Science and Technology, Beihang University

Papers

Total Citations

H-Index

About

Zheng Zheng is a researcher at the intersection of artificial intelligence and software engineering, with a focus on intelligent negotiation systems and automated testing. His most cited work, "Negotiation Assistant Bot of Pricing Prediction Based on Machine Learning" (2020, 14 citations), pioneers the application of AI to business negotiation—a domain where machine learning had yet to exert its full potential. By developing a bot capable of predicting optimal pricing strategies, Zheng demonstrates how AI can augment human decision-making in bargaining contexts, opening new avenues for e-commerce and procurement technologies. In parallel, his paper "Testing Graph Searching Based Path Planning Algorithms by Metamorphic Testing" (2019, 9 citations) addresses a critical challenge in robotics and UAV systems: verifying path planning algorithms when expected results are unavailable. By applying metamorphic testing, Zheng provides a rigorous method to validate these complex implementations without traditional oracles. This dual focus—advancing AI in negotiation while ensuring reliability in autonomous systems—positions Zheng as a versatile contributor to both applied machine learning and software verification. His work bridges practical AI deployment with the foundational need for trustworthy algorithms, making his research valuable for students and practitioners alike.