Zhenzhen He
Orcid: 0000-0002-1897-6648
According to our database1,
Zhenzhen He
authored at least 21 papers
between 2015 and 2024.
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Bibliography
2024
J. King Saud Univ. Comput. Inf. Sci., 2024
A novel query execution time prediction approach based on operator iterate-aware of the execution plan on the graph database.
J. King Saud Univ. Comput. Inf. Sci., 2024
Aspect-based sentiment analysis with multi-granularity information mining and sentiment hint.
Expert Syst. Appl., 2024
Using query semantic and feature transfer fusion to enhance cardinality estimating of property graph queries.
Displays, 2024
2023
Sensors, September, 2023
Integrating external knowledge into aspect-based sentiment analysis using graph neural network.
Knowl. Based Syst., 2023
Query cost estimation in graph databases via emphasizing query dependencies by using a neural reasoning network.
Concurr. Comput. Pract. Exp., 2023
2022
Execution Time Prediction for Cypher Queries in the Neo4j Database Using a Learning Approach.
Symmetry, 2022
A unified framework for abstractive summarization over prompt language model and pointer mechanism.
J. Intell. Fuzzy Syst., 2022
2021
Applying an Intelligent Learning Partner in Teacher Education for Improving CT-Related TPACK.
Proceedings of the Blended Learning: Re-thinking and Re-defining the Learning Process., 2021
2020
A Fast Method for Estimating the Number of Clusters Based on Score and the Minimum Distance of the Center Point.
Inf., 2020
Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex Environment.
Complex., 2020
Root cause analysis approach based on reverse cascading decomposition in QFD and fuzzy weight ARM for quality accidents.
Comput. Ind. Eng., 2020
Proceedings of the 6GN for Future Wireless Networks - Third EAI International Conference, 2020
2019
Big Data-Oriented Product Infant Failure Intelligent Root Cause Identification Using Associated Tree and Fuzzy DEA.
IEEE Access, 2019
2017
Optimisation of burn-in time considering the hidden loss of quality deviations in the manufacturing process.
Int. J. Prod. Res., 2017
Big data oriented root cause identification approach based on Axiomatic domain mapping and weighted association rule mining for product infant failure.
Comput. Ind. Eng., 2017
2016
A fuzzy TOPSIS and Rough Set based approach for mechanism analysis of product infant failure.
Eng. Appl. Artif. Intell., 2016
2015
Research on the structural model of quality variations in manufacturing and its impact on product infant failure rate.
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015