Yuyang Zhang Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Yuyang Zhang's research has explored diverse computational and scientific domains, as evidenced by recent publications. His work includes investigations into optimizing data storage for spatio-temporal queries, contributing to improved efficiency with technologies like HBase. Zhang has also contributed to the field of artificial intelligence by examining trends, applications, and strategies for designing transparent AI agents. Further research extends to analytical methodologies, such as error-in-variables methods for system identification, and the study of learning high-dimensional dynamical systems with limited sensing capabilities. Additionally, his publications touch upon behavioral studies, including an examination of dishonesty distribution through experimental data and simulations, and the development of model-based approaches for imitation learning via multi-step predictions. Zhang's scholarship metrics include an h-index of 5, with 29 total publications and 191 total citations. He has collaborated with researchers at Harding University Main Campus, including Na Li, N. Li, Xinhe Zhang, and Derya Cansever.
Metrics
- h-index: 5
- Publications: 29
- Citations: 203
Selected Publications
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Error-In-Variables Methods for Efficient System Identification with Finite-Sample Guarantees (2025)
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Learning High-dimensional Dynamical Systems with Limited Sensing (2025)
Collaboration Network
Top Collaborators
- Practice of Blended Teaching Mode Based on Case Analysis and Flipped Classroom in Analytical Chemistry Laboratory Teaching
- Practice of Implementing Blended Teaching in Shared Analytical Chemistry Course
- A review of urban vitality research in the Chinese world
- Optimizing segmented trajectory data storage with HBase for improved spatio-temporal query efficiency
- Ultrasensitive detection of gallic acid via triple-synergistic electrochemical sensor modified by β-cyclodextrin-encapsulated and mesoporous silica-embedded graphenized carbon nanotubes networks
- β-Cyclodextrin-encapsulated and Ketjenblack carbon-embedded helical multi-walled carbon nanotubes networks: A synergistic signal amplification strategy for electrochemical sensing analysis of gallic acid
- Ultrasensitive detection of gallic acid via triple-synergistic electrochemical sensor modified by β-cyclodextrin-encapsulated and mesoporous silica-embedded graphenized carbon nanotubes networks
- β-Cyclodextrin-encapsulated and Ketjenblack carbon-embedded helical multi-walled carbon nanotubes networks: A synergistic signal amplification strategy for electrochemical sensing analysis of gallic acid
- Ultrasensitive detection of gallic acid via triple-synergistic electrochemical sensor modified by β-cyclodextrin-encapsulated and mesoporous silica-embedded graphenized carbon nanotubes networks
- β-Cyclodextrin-encapsulated and Ketjenblack carbon-embedded helical multi-walled carbon nanotubes networks: A synergistic signal amplification strategy for electrochemical sensing analysis of gallic acid
- Ultrasensitive detection of gallic acid via triple-synergistic electrochemical sensor modified by β-cyclodextrin-encapsulated and mesoporous silica-embedded graphenized carbon nanotubes networks
- β-Cyclodextrin-encapsulated and Ketjenblack carbon-embedded helical multi-walled carbon nanotubes networks: A synergistic signal amplification strategy for electrochemical sensing analysis of gallic acid
- Ultrasensitive detection of gallic acid via triple-synergistic electrochemical sensor modified by β-cyclodextrin-encapsulated and mesoporous silica-embedded graphenized carbon nanotubes networks
- β-Cyclodextrin-encapsulated and Ketjenblack carbon-embedded helical multi-walled carbon nanotubes networks: A synergistic signal amplification strategy for electrochemical sensing analysis of gallic acid
- Error-In-Variables Methods for Efficient System Identification with Finite-Sample Guarantees
- A Model-Based Approach to Imitation Learning through Multi-Step Predictions
- Capturing the Trends, Applications, Issues, and Potential Strategies of Designing Transparent AI Agents
- Capturing the Trends, Applications, Issues, and Potential Strategies of Designing Transparent AI Agents
- Capturing the Trends, Applications, Issues, and Potential Strategies of Designing Transparent AI Agents
- Capturing the Trends, Applications, Issues, and Potential Strategies of Designing Transparent AI Agents
- Capturing the Trends, Applications, Issues, and Potential Strategies of Designing Transparent AI Agents
- Practice of Blended Teaching Mode Based on Case Analysis and Flipped Classroom in Analytical Chemistry Laboratory Teaching
- Practice of Blended Teaching Mode Based on Case Analysis and Flipped Classroom in Analytical Chemistry Laboratory Teaching
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