Qingguo Zhou
Biographic Data
| ID | 7246084 |
|---|---|
| NAME | Qingguo Zhou |
| GIVEN NAMES | Qingguo |
| FAMILY NAME | Zhou |
| SIGNATURE | ZHOU Q |
| AFFILIATIONS | Lanzhou University |
| ORCID | 0000-0001-8054-5446 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A Distributed Parallel Sampling-Based Optimization Method for Continuous-Time Reinforcement Learning in CPS System
Hyper-Parallel Superscalar Asynchronous Risc-V Processor Based on Event-Driven Logic
Event-driven neuromorphic computing involves sparse and asynchronous signal activity, which leads to irregular computation patterns and fine-grained concurrency. As a result, processing architectures need to support both high parallelism and energy efficiency. Among existing architectural solutions, superscalar designs exhibit significant potential for addressing high parallelism demands. However, conventional superscalar processors, which rely o…
Technology empowerment or risk avoidance? – investigating the overlooked factors influencing college students' acceptance of generative artificial intelligence
Generative artificial intelligence (GAI) is transforming higher education by enhancing learning tools, enabling personalized instruction, and streamlining administrative processes. However, colleges around the world have divergent policy positions on its educational use. In China, the use of international platforms such as ChatGPT is explicitly restricted within higher education institutions, while domestic colleges are simultaneously encouraged …
Tibetan-Bert-wwm
Social networks contributed massive text data generated by users in it, which were crucial in information explosion. These unstructured and ambiguous expressed data may result in difficulty in obtaining available contextual information from it, which can help us gain more accurate insights into user-generated content, user preferences, and topic dynamics within social networks. By training on a large-scale unsupervised corpus and fine-tuning para…
New Ways to Enrich Web GIS Applications [Leading Edge]
We need to think beyond traditional geographic information systems (GIS). Four aspects can be involved in this effort: a) acquiring real-time data, b) driving the hydrological models, c) applying advanced data processing, d) considering human activities
No prominent works on this page.
New Ways to Enrich Web GIS Applications [Leading Edge]
We need to think beyond traditional geographic information systems (GIS). Four aspects can be involved in this effort: a) acquiring real-time data, b) driving the hydrological models, c) applying advanced data processing, d) considering human activities
Tibetan-Bert-wwm
Social networks contributed massive text data generated by users in it, which were crucial in information explosion. These unstructured and ambiguous expressed data may result in difficulty in obtaining available contextual information from it, which can help us gain more accurate insights into user-generated content, user preferences, and topic dynamics within social networks. By training on a large-scale unsupervised corpus and fine-tuning para…
Technology empowerment or risk avoidance? – investigating the overlooked factors influencing college students' acceptance of generative artificial intelligence
Generative artificial intelligence (GAI) is transforming higher education by enhancing learning tools, enabling personalized instruction, and streamlining administrative processes. However, colleges around the world have divergent policy positions on its educational use. In China, the use of international platforms such as ChatGPT is explicitly restricted within higher education institutions, while domestic colleges are simultaneously encouraged …
A Distributed Parallel Sampling-Based Optimization Method for Continuous-Time Reinforcement Learning in CPS System
Hyper-Parallel Superscalar Asynchronous Risc-V Processor Based on Event-Driven Logic
Event-driven neuromorphic computing involves sparse and asynchronous signal activity, which leads to irregular computation patterns and fine-grained concurrency. As a result, processing architectures need to support both high parallelism and energy efficiency. Among existing architectural solutions, superscalar designs exhibit significant potential for addressing high parallelism demands. However, conventional superscalar processors, which rely o…
Artificial Intelligence (2 works) · Computer Science (2 works) · Adaptive Dynamic Programming Control (1 work) · Advanced Memory and Neural Computing (1 work) · AI in Service Interactions (1 work) · AM/FM/GIS (1 work) · Asynchronous circuit (1 work) · Asynchronous communication (1 work) · Computation (1 work) · Control system (1 work)